ALminer Tutorial Notebook

  • This tutorial notebook showcases alminer's various functions with examples.
  • The documentation for all functions is compiled as a glossary at the end of the tutorial and can be found on the documentation page.
  • To work with the tutorial notebook interactively, click on launch Jupyter Notebook badge in the top right.
  • In interactive mode, each cell can be executed by pressing Shift+Enter.
  • All fields in this tutorial are write-protected. To work on your own examples, go to the workstation below, or click on File > New Notebook > Python 3 to create a new empty notebook.

0. Load libraries

In [1]:
import alminer
import pandas
from astropy.io import ascii

1. Query tools

This Section introduces three methods to query the ALMA archive:

General notes about the querying functions:

  • All querying functions search the ALMA archive for public data by default. To include both public and proprietary data in the search, set public=None. Similarly, to search for only propietary data, set public=False.
  • All querying functions search the ALMA archive for both published and unpublished data. To include only unpublished data, set published=False.
  • The querying functions will by default print a summary of the observations, including a list of target names. For large queries, it is useful to turn this feature off in order to not have a long list of targets printed to screen. To turn off this feature, simply set print_targets=False.
  • The queries return all possible observations in PANDAS DataFrame format that can be used to further narrow down your search as demonstrated in Section 2.

1.1 Query by target name

The alminer.target function allows one to query objects by name. This function uses the Astropy SESAME resolver which searches multiple databases (Simbad, NED, VizieR) to obtain the coordinates of the object of interest, and then queries the ALMA archive for those coordinates and a search radius around them. The search radius is by default 1.0 arcminute, but can be modified using the search_radius keyword (in arcmin units).


Details of target function * Description: Query targets by name.
* This is done by using the astropy SESAME resolver to get the target's coordinates and then the ALMA archive is queried for those coordinates and a search_radius around them. The SESAME resolver searches multiple databases (Simbad, NED, VizieR) to parse names commonly found throughout literature and returns their coordinates. If the target is not resolved in any of these databases, consider using the `keysearch` function and query the archive using the 'target_name' keyword (e.g. `keysearch({'target_name': sources})`).

* Command:
* alminer.**target**(_sources, search_radius=1., point=True, public=True, published=None, print_query=False, print_targets=True_)

* Parameters:
* **sources (list of str)** : list of sources by name. (IMPORTANT: sources names must be identified by at least one of Simbad, NED, or Vizier)
* **search_radius (float, optional, default: 1 arcmin)** : Search radius (in arcmin) around the source coordinates.
* **point (bool, optional, default: True)** : Search whether the phase center of the observations is contained within the search_radius (*point=True*) or whether any part of the observed region overlaps with the cone extending the search_radius (*point=False*). Note that *point=True* is much faster than *point=False* but the latter should be used if one is interested in searching for mosaics.
* **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
* **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
* **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
* **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.

* Returns:
* **pandas.DataFrame** containing the query results. ***

Example 1.1.1: query two sources by name

In [2]:
myquery = alminer.target(['Orion KL', "AB Aur"])
================================
alminer.target results 
================================
Target = Orion KL
--------------------------------
Number of projects = 27
Number of observations = 63
Number of unique subbands = 226
Total number of subbands = 272
23 target(s) with ALMA data = ['Orion H2O maser outburst', 'OrionKL', 'Orion_Source_I', 'Orion KL', 'Orion-KL', 'Orion_KL', 'BN-KL', 'OrionKL-SV', 'f15', 'f14', 'OMC1_NW', 'Orion1', 'OMC1_SE', 'BN', 'f23', 'Orion', 'Orion_BNKL_source_I', 'OMC-1_Region2', 'orion_kl', 'orion-IRc2', 'Orion_KL_Field_1_Orion_Hot_Core', 'Orion_KL_Field_3_North-west_Clump', 'Orion_KL_Field_2_SMA1']
--------------------------------
Target = AB Aur
--------------------------------
Number of projects = 3
Number of observations = 3
Number of unique subbands = 17
Total number of subbands = 17
3 target(s) with ALMA data = ['ab_aurigae', 'AB_Aur', 'AB_Auriga']
--------------------------------

Now let's increase the search radius:

In [3]:
myquery = alminer.target(['Orion KL', "AB Aur"], search_radius=2.0)
================================
alminer.target results 
================================
Target = Orion KL
--------------------------------
Number of projects = 35
Number of observations = 100
Number of unique subbands = 283
Total number of subbands = 451
46 target(s) with ALMA data = ['HC602_HC606_HC608', 'Orion H2O maser outburst', 'OrionField1-2', 'OrionKL', 'Orion_Source_I', 'HC672', 'OrionField1-1', 'OrionField2', 'Orion KL', 'OMC-1S', 'Orion-KL', '104', 'Orion_KL', '71', 'BN-KL', 'OrionKL-SV', 'f11', 'f12', 'f15', 'f13', 'f14', 'OMC1_SE', 'OMC1_NW', 'f10', 'Orion1', 'f8', 'f4', 'f5', 'f1', 'f7', 'f3', 'BN', 'f23', 'Orion', 'Orion_BNKL_source_I', 'f16', 'OMC-1_Region4', 'OMC-1_Region2', 'orion_kl', 'ONC_Mosaic', 'orion-IRc2', 'Orion_KL_Field_1_Orion_Hot_Core', 'ONC', 'Orion_KL_Field_3_North-west_Clump', 'Orion_KL_Field_2_SMA1', 'ORS-8']
--------------------------------
Target = AB Aur
--------------------------------
Number of projects = 3
Number of observations = 3
Number of unique subbands = 17
Total number of subbands = 17
3 target(s) with ALMA data = ['ab_aurigae', 'AB_Aur', 'AB_Auriga']
--------------------------------

Example 1.1.2: query a list of objects by name

First create a catalog or a list of object names. In this example, the catalog Sample_cat.dat has the following content:

 Name     RA      DEC   
------ -------- --------
AB_Aur  73.9412  30.5511
AK_Sco 253.6867 -36.8886
AS_310 278.3383  -4.9683
AS_470 324.0592  57.3586
AS_477 328.1421  47.2289

Note that the column that is used is the Name column and the coordinates are ignored in this example.

In [4]:
mylist = ascii.read("Sample_cat.dat", header_start=0, data_start=1)
myquery = alminer.target(mylist['Name'])
================================
alminer.target results 
================================
Target = AB_Aur
--------------------------------
Number of projects = 3
Number of observations = 3
Number of unique subbands = 17
Total number of subbands = 17
3 target(s) with ALMA data = ['ab_aurigae', 'AB_Aur', 'AB_Auriga']
--------------------------------
Target = AK_Sco
--------------------------------
Number of projects = 3
Number of observations = 3
Number of unique subbands = 12
Total number of subbands = 12
2 target(s) with ALMA data = ['AK_Sco', 'HIP_82747']
--------------------------------
Target = AS_310
--------------------------------
No observations found.
--------------------------------
Target = AS_470
--------------------------------
No observations found.
--------------------------------
Target = AS_477
--------------------------------
No observations found.
--------------------------------

Example 1.1.3: include proprietary data

In [5]:
myquery = alminer.target(mylist['Name'], public=None)
================================
alminer.target results 
================================
Target = AB_Aur
--------------------------------
Number of projects = 4
Number of observations = 5
Number of unique subbands = 25
Total number of subbands = 25
3 target(s) with ALMA data = ['ab_aurigae', 'AB_Aur', 'AB_Auriga']
--------------------------------
Target = AK_Sco
--------------------------------
Number of projects = 4
Number of observations = 4
Number of unique subbands = 16
Total number of subbands = 16
2 target(s) with ALMA data = ['AK_Sco', 'HIP_82747']
--------------------------------
Target = AS_310
--------------------------------
No observations found.
--------------------------------
Target = AS_470
--------------------------------
No observations found.
--------------------------------
Target = AS_477
--------------------------------
No observations found.
--------------------------------

Example 1.1.4: account for mosaics

The alminer.target function will by default search whether the phase center of any ALMA observations lie within the search radius around the target of interest's position. To search whether any part of the observed region overlaps with the cone extending the search radius, one can set point=False. Note that this option is slower, hence it's not the dafault mode.

In [6]:
myquery = alminer.target(['Orion KL'], point=False)
================================
alminer.target results 
================================
Target = Orion KL
--------------------------------
Number of projects = 35
Number of observations = 90
Number of unique subbands = 283
Total number of subbands = 399
40 target(s) with ALMA data = ['HC602_HC606_HC608', 'Orion H2O maser outburst', 'OrionField1-2', 'OrionKL', 'Orion_Source_I', 'OrionField1-1', 'Orion KL', 'Orion-KL', '104', 'Orion_KL', 'BN-KL', 'OrionKL-SV', 'f11', 'f12', 'f15', 'f13', 'f14', 'OMC1_SE', 'OMC1_NW', 'f10', 'Orion1', 'f1', 'f3', 'BN', 'f23', 'Orion', 'OMC-1_Region5', 'Orion_BNKL_source_I', 'f16', 'OMC-1_Region4', 'OMC-1_Region2', 'orion_kl', 'OMC-1', 'ONC_Mosaic', 'orion-IRc2', 'Orion_KL_Field_1_Orion_Hot_Core', 'ONC', 'Orion_KL_Field_3_North-west_Clump', 'Orion_KL_Field_2_SMA1', 'ORS-8']
--------------------------------

1.2 Query by position

The alminer.conesearch and alminer.catalog functions can be used to directly query the ALMA archive by positions in the sky and a search radius around them. The right ascension and declinations must be given in units of degrees (ICRS). You can use the Astropy coordinates package to convert your desired coordinates to degrees.


Details of conesearch function * Description: Query the ALMA archive for a given position and radius around it.

* Command:
* alminer.**conesearch**(_ra, dec, search_radius=1., point=True, public=True, published=None, print_targets=True, print_query=False_)

* Parameters:
* **ra (float)** : Right ascension in degrees (ICRS).
* **dec (float)** : Declination in degrees (ICRS).
* **search_radius (float, optional, default: 1 arcmin)** : Search radius (in arcmin) around the source coordinates.
* **point (bool, optional, default: True)** : Search whether the phase center of the observations is contained within the search_radius (*point=True*) or whether any part of the observed region overlaps with the cone extending the search_radius (*point=False*). Note that *point=True* is much faster than *point=False* but the latter should be used if one is interested in searching for mosaics.
* **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
* **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
* **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
* **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.

* Returns:
* **pandas.DataFrame** containing the query results. ***
Details of catalog function * Description: Query the ALMA archive for a list of coordinates or a catalog of sources based on their coordinates.

* Command:
* alminer.**catalog**(_target_df, search_radius=1., point=True, public=True, published=None, print_query=False, print_targets=True_)

* Parameters:
* **target_df (pandas.DataFrame)** : DataFrame with source names and coordinates; it must have at least the following three columns: "*Name*", "*RAJ2000*", "*DEJ2000*". "*Name*" describes the target name (can be numbers or dummy names), "*RAJ2000*" is the right ascension in degrees (ICRS), "*DEJ2000*" is the declination in degrees (ICRS)
* **search_radius (float, optional, default: 1 arcmin)** : Search radius (in arcmin) around the source coordinates.
* **point (bool, optional, default: True)** : Search whether the phase center of the observations is contained within the search_radius (*point=True*) or whether any part of the observed region overlaps with the cone extending the search_radius (*point=False*). Note that *point=True* is much faster than *point=False* but the latter should be used if one is interested in searching for mosaics.
* **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
* **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
* **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
* **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.

* Returns:
* **pandas.DataFrame** containing the query results. ***

Example 1.2.1: query an object by its coordinates (RA, Dec)

In [7]:
myquery = alminer.conesearch(ra=201.365063, dec=-43.019112, search_radius=10.0)
--------------------------------
Number of projects = 23
Number of observations = 74
Number of unique subbands = 190
Total number of subbands = 301
9 target(s) with ALMA data = ['CenA', 'J1325-430', 'Centaurus_a', 'J1325-4301', 'Centaurus A', 'Centaurus_A', '3FGL_J1325.4-4301', 'NGC_5128', 'Cen_A']
--------------------------------

Example 1.2.2: query a catalog of objects by their coordinates (RA, Dec)

Let's first import a catalog, for example the catalog of Spitzer YSOs in Orion from Megeath et al. (2009), and create a PANDAS DataFrame using rows 866 to 869 of this catalog. Then use the alminer.catalog function to query the ALMA archive for each target in the DataFrame.

In [8]:
Spitzer = ascii.read("Spitzer_sample.dat", header_start=0, data_start=866, data_end=869)

mycat =  {"Name": Spitzer['Seq'], 
          "RAJ2000" : Spitzer["RA2000"], 
          "DEJ2000" : Spitzer["DEC2000"]}

mycat = pandas.DataFrame(mycat)

myquery = alminer.catalog(mycat, search_radius=1.)
================================
alminer.catalog results
================================
Target = 866
--------------------------------
Number of projects = 1
Number of observations = 1
Number of unique subbands = 4
Total number of subbands = 4
1 target(s) with ALMA data = ['M12_866']
--------------------------------
Target = 867
--------------------------------
Number of projects = 1
Number of observations = 1
Number of unique subbands = 4
Total number of subbands = 4
1 target(s) with ALMA data = ['M12_867']
--------------------------------
Target = 868
--------------------------------
Number of projects = 2
Number of observations = 2
Number of unique subbands = 8
Total number of subbands = 8
1 target(s) with ALMA data = ['HOPS-172']
--------------------------------

1.3 Query by ALMA keywords

Query the ALMA archive for any (string-type) keywords defined in ALMA TAP system (see table below).

The power of this function is in combining keywords. When multiple keywords are provided, they are queried using 'AND' logic, while when multiple values are provided for a given keyword, they are queried using 'OR' logic. For example,

  • alminer.keysearch({"proposal_abstract": ["high-mass star formation outflow disk"]}) will query the archive for projects with the words "high-mass" AND "star" AND "formation" AND "outflow" AND "disk" in their proposal abstracts.

  • alminer.keysearch({"proposal_abstract": ["high-mass", "star", "formation", "outflow", "disk"]}) will query the archive for projects with the words "high-mass" OR "star" OR "formation" OR "outflow" OR "disk" in their proposal abstracts.

  • alminer.keysearch({"proposal_abstract": ["star formation"], "scientific_category":['Galaxy evolution']}) will query the archive for projects with the words "star" AND "formation" in their proposal abstracts AND projects that are within the scientific_category of 'Galaxy evolution'.

Details of keysearch function * Description: Query the ALMA archive for any (string-type) keywords defined in ALMA TAP system.

* Command:
* alminer.**keysearch**(_search_dict, public=True, published=None, print_query=False, print_targets=True_)

* Parameters:
* **search_dict (dict[str, list of str])** : Dictionary of keywords in the ALMA archive and their values. Values must be formatted as a list of strings. For a list of valid keywords see [table](#TAP_table) below.
* **public (bool, optional, default: True)** : Search for public data (*public=True*), proprietary data (*public=False*), or both public and proprietary data (*public=None*).
* **published (bool, optional, default: None)** : Search for published data only (*published=True*), unpublished data only (*published=False*), or both published and unpublished data (*published=None*).
* **print_query (bool, optional, default: False)** : Print the ADQL TAP query to the terminal.
* **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.

* Returns:
* **pandas.DataFrame** containing the query results. ***
Table of possible query keywords
ALMA query keywordTypeDescription
access_formatchar(9)Content format of the data
access_urlchar(72*)URL to download the data
antenna_arrayschar(660*)Blank-separated list of Pad:Antenna pairs, i.e., A109:DV09 J504:DV02 J505:DV05
for antennas DV09, DV02 and DV05 sitting on pads A109, J504, and J505, respectively.
asdm_uidchar(32*)UID of the ASDM containing this Field.
authorschar(4000*)Full list of first author and all co-authors
band_listchar(30*)Space delimited list of bands
bib_referencechar(30*)Bibliography code
data_rightschar(11)Access to data.
dataproduct_typechar(5*)type of product
facility_namechar(3)telescope name
first_authorchar(256*)The first author as provided by telbib.eso.org.
frequency_supportchar(4000*)All frequency ranges used by the field
group_ous_uidchar(64*)Group OUS ID
instrument_namechar(4)instrument name
is_mosaicchar(1)Flag to indicate if this ASDM represents a mosaic or not.
lastModifiedchar(*)Time stamp of last modification of the metadata
member_ous_uidchar(64*)Member OUS ID
o_ucdchar(35)UCD describing the observable axis (pixel values)
obs_collectionchar(4)short name for the data collection
obs_creator_namechar(256*)case-insensitive partial match over the full PI name. Wildcards can be used
obs_idchar(64*)internal dataset identifier
obs_publisher_didchar(33*)publisher dataset identifier
obs_release_datechar(*)timestamp of date the data becomes publicly available
obs_titlechar(256*)Case-insensitive search over the project title
pol_stateschar(64*)polarization states present in the data
proposal_abstractchar(4000*)Text search on the proposal abstract. Only abstracts will be returned
which contain the given text. The search is case-insensitive.
proposal_authorschar(2000*)Full name of CoIs.
proposal_idchar(64*)Identifier of proposal to which NO observation belongs.
pub_abstractchar(4000*)Case insensitive text search through the abstract of the publication.
pub_titlechar(256*)Case insensitive search through the title of the publication.
qa2_passedchar(1)Quality Assessment 2 status: does the Member / Group OUS
fulfil the PI's requirements?
s_regionchar(*)region bounded by observation
scan_intentchar(256*)Scan intent list for the observed field.
schedblock_namechar(128*)Name of the Scheduling Block used as a template for executing the ASDM containing this Field.
science_keywordchar(200*)Chosen by the PI in the observing tool at the time of proposal submission. For an overview,
see Appendix D of the ALMA Proposer's Guide. For a precise list, see Table of science keywords below.
science_observationchar(1)Flag to indicate whether this is a science observation.
scientific_categorychar(200*)Chosen by the PI in the observing tool at the time of proposal submission. For an overview,
see Appendix D of the ALMA Proposer's Guide. For a precise list, see Table of science categories below.
target_namechar(256*)name of intended target
typechar(16*)Type flags.
Table of possible ALMA science categories
ALMA science category
Active galaxies
Cosmology
Disks and planet formation
Galaxy evolution
ISM and star formation
Local Universe
Solar system
Stars and stellar evolution
Sun

Table of possible ALMA science keywords
ALMA science keyword
Active Galactic Nuclei (AGN)/Quasars (QSO)
Astrochemistry
Asymptotic Giant Branch (AGB) stars
Black holes
Brown dwarfs
Cataclysmic stars
Cosmic Microwave Background (CMB)/Sunyaev-Zel'dovich Effect (SZE)"
Damped Lyman Alpha (DLA) systems
Debris disks
Disks around high-mass stars
Disks around low-mass stars
Dwarf/metal-poor galaxies
Early-type galaxies
Evolved stars - Chemistry
Evolved stars - Shaping/physical structure
Evolved stars: Shaping/physical structure
Exo-planets
Galactic centres/nuclei
Galaxy Clusters
Galaxy chemistry
Galaxy groups and clusters
Galaxy structure & evolution
Gamma Ray Bursts (GRB)
Giant Molecular Clouds (GMC) properties
Gravitational lenses
HII regions
High-mass star formation
High-z Active Galactic Nuclei (AGN)
Hypergiants
Infra-Red Dark Clouds (IRDC)
Inter-Stellar Medium (ISM)/Molecular clouds
Intermediate-mass star formation
Low-mass star formation
Luminous Blue Variables (LBV)
Luminous and Ultra-Luminous Infra-Red Galaxies (LIRG & ULIRG)
Lyman Alpha Emitters/Blobs (LAE/LAB)
Lyman Break Galaxies (LBG)
Magellanic Clouds
Main sequence stars
Merging and interacting galaxies
Outflows, jets, feedback
Outflows, jets and ionized winds
Photon-Dominated Regions (PDR)/X-Ray Dominated Regions (XDR)
Post-AGB stars
Pre-stellar cores
Pulsars and neutron stars
Solar system - Asteroids
Solar system - Comets
Solar system - Planetary atmospheres
Solar system - Planetary surfaces
Solar system - Trans-Neptunian Objects (TNOs)
Spiral galaxies
Starburst galaxies
Starbursts, star formation
Sub-mm Galaxies (SMG)
Supernovae (SN) ejecta
Surveys of galaxies
The Sun
Transients
White dwarfs

Example 1.3.1: query a list of ALMA target names that may not be in SIMBAD/NED/VizieR

In [9]:
myquery = alminer.keysearch({'target_name': ['GRB021004','SPT0319-47', 'G345']})
================================
alminer.keysearch results 
================================
--------------------------------
Number of projects = 16
Number of observations = 28
Number of unique subbands = 121
Total number of subbands = 179
10 target(s) with ALMA data = ['GRB021004', 'G345.5', 'SPT0319-47', 'G345.5043+00.3480', 'G345.49+1.47', 'G345.50+0.35', 'G345.6487+0.0089', 'G345.01', 'G345.11', 'G345.0029-0.2241']
--------------------------------

Example 1.3.2: query a list of ALMA projects by their proposal IDs

In [10]:
myquery = alminer.keysearch({'proposal_id': ['2015.1.00664.S', '2016.1.00204.S']})
================================
alminer.keysearch results 
================================
--------------------------------
Number of projects = 2
Number of observations = 16
Number of unique subbands = 16
Total number of subbands = 64
16 target(s) with ALMA data = ['KMOS3DGS4-27882', 'KMOS3DCOS4-24763', 'KMOS3DU4-34138', 'KMOS3DCOS4-19680', 'KMOS3DCOS4-13701', 'KMOS3DCOS4-10347', 'KMOS3DCOS4-13174', 'KMOS3DCOS4-15820', 'KMOS3DCOS4-15813', 'KMOS3DU4-22227', 'KMOS3DU4-20547', 'KMOS3DU4-32147', 'KMOS3DGS4-24110', 'KMOS3DGS4-11016', 'KMOS3DGS4-25151', 'AK_Sco']
--------------------------------

Example 1.3.3: query by words in the proposal abstract

Query the ALMA archive for proposals that have the words 'high-mass' AND 'star' AND 'formation' AND 'outflow', and do not print the long list of target names in the summary.

In [11]:
myquery = alminer.keysearch({'proposal_abstract': ['high-mass star formation outflow']}, print_targets=False)
================================
alminer.keysearch results 
================================
--------------------------------
Number of projects = 34
Number of observations = 419
Number of unique subbands = 416
Total number of subbands = 2799
Total number of targets with ALMA data = 239
--------------------------------

Example 1.3.4: query by combination of keywords

Query the ALMA archive for proposals that have the words ('high-mass' AND 'star' AND 'formation' AND 'outflow') OR ('massive' AND 'star' AND 'formation') corresponding to the scientific category of 'Galaxy evolution'.

In [12]:
myquery = alminer.keysearch({'proposal_abstract': ['high-mass star formation', 'massive star formation'], 
                             'scientific_category':['Galaxy evolution']}, print_targets=False)
================================
alminer.keysearch results 
================================
--------------------------------
Number of projects = 119
Number of observations = 2056
Number of unique subbands = 2481
Total number of subbands = 8247
Total number of targets with ALMA data = 1376
--------------------------------

Example 1.3.5: query for full polarization data

In [13]:
myquery = alminer.keysearch({'science_keyword':['disks around low-mass stars'], 
                             'pol_states':['XY', 'YX']}, print_targets=False)
================================
alminer.keysearch results 
================================
--------------------------------
Number of projects = 27
Number of observations = 48
Number of unique subbands = 94
Total number of subbands = 192
Total number of targets with ALMA data = 34
--------------------------------

2. Filter & explore results

The querying functions presented in the previous section return a PANDAS DataFrame that can be used to further narrow down your search. This section presents some examples of how you can further filter and explore the results of your queries:

To explore these options, we will first query the archive using one of the methods presented in the previous section and use the results in the remainder of this tutorial.

In [14]:
observations = alminer.keysearch({'science_keyword':['Galaxy chemistry']}, print_targets=False)
================================
alminer.keysearch results 
================================
--------------------------------
Number of projects = 47
Number of observations = 339
Number of unique subbands = 1162
Total number of subbands = 1361
Total number of targets with ALMA data = 63
--------------------------------

2.1 Explore results

You can simply display the DataFrame table returned by the query functions using the name you gave it (in this case observations), but often there are limits to how many rows and columns are presented. With the alminer.explore function, you can control whether or not you want to display all rows (allrows=True/False) and/or all columns (allcols=True/False). By default, only the 18 most useful columns are shown and the number of rows is truncated.


Details of explore function * Description: Control how much of the pandas.DataFrame with the query results is presented in the displayed table.

* Command:
* alminer.**explore**(_observations, allcols=False, allrows=False_)

* Parameters:
* **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
* **allcols (bool, optional, default: False)** : Show all 81 columns (*allcols=True*), or the first 18 columns (*allcols=False*).
* **allrows (bool, optional, default: False)** : Show all rows in the DataFrame (*allrows=True*), or just a summary (*allrows=False*).

* Returns:
* **pandas.DataFrame** containing the query results displayed to the user interface as specified by the user. ***

Example 2.1.1: View the queried observations as a table (shortened)

In [15]:
alminer.explore(observations)
Out[15]:
Obs project_code ALMA_source_name RAJ2000 DEJ2000 ang_res_arcsec min_freq_GHz max_freq_GHz central_freq_GHz bandwidth_GHz freq_res_kHz vel_res_kms LAS_arcsec FoV_arcsec cont_sens_bandwidth line_sens_10kms line_sens_native MOUS_id
0 1 2011.0.00268.S LESS J0332-2756 53.122042 -27.938694 1.167 239.50 241.37 240.43 1.875 976.56 1.213 8.943 23.564 79.299 1708.54 111.94 uid://A002/X303d22/X7b
1 2 2011.0.00268.S LESS J0332-2756 53.122042 -27.938694 1.167 252.85 254.73 253.79 1.875 976.56 1.149 8.943 23.564 79.299 1675.07 112.74 uid://A002/X303d22/X7b
2 3 2011.0.00405.S PKS1830-211 278.416330 -21.061080 1.331 105.07 106.95 106.01 1.878 976.56 2.737 12.937 58.774 29.824 1370.09 59.71 uid://A002/X36d874/X80
3 4 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.455 283.51 285.39 284.45 1.874 976.56 1.026 3.448 20.113 60.429 1673.64 119.28 uid://A002/X36d874/X7a
4 5 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.455 281.64 283.51 282.57 1.874 976.56 1.033 3.448 20.113 60.429 1677.23 119.14 uid://A002/X36d874/X7a
5 6 2011.0.00405.S PKS1830-211 278.416330 -21.061080 1.331 103.20 105.08 104.14 1.878 976.56 2.786 12.937 58.774 29.824 1381.77 59.69 uid://A002/X36d874/X80
6 7 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.563 259.58 261.47 260.52 1.894 976.56 1.120 5.088 23.118 74.597 2278.21 154.60 uid://A002/X36d874/X7c
7 8 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.442 292.55 294.43 293.49 1.880 976.56 0.994 4.104 19.504 68.197 1867.41 134.98 uid://A002/X36d874/X7e
8 9 2011.0.00405.S PKS1830-211 278.416330 -21.061080 1.331 91.20 93.08 92.14 1.878 976.56 3.145 12.937 58.774 29.824 1500.60 61.02 uid://A002/X36d874/X80
9 10 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.563 256.63 258.53 257.58 1.894 976.56 1.132 5.088 23.118 74.597 2189.73 147.77 uid://A002/X36d874/X7c
10 11 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.563 244.13 246.02 245.08 1.893 976.56 1.190 5.088 23.118 74.597 2229.45 146.80 uid://A002/X36d874/X7c
11 12 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.455 295.51 297.38 296.45 1.874 976.56 0.984 3.448 20.113 60.429 1735.78 126.28 uid://A002/X36d874/X7a
12 13 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.455 293.63 295.51 294.57 1.874 976.56 0.991 3.448 20.113 60.429 1655.25 120.04 uid://A002/X36d874/X7a
13 14 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.563 242.31 244.20 243.25 1.894 976.56 1.199 5.088 23.118 74.597 2229.83 146.24 uid://A002/X36d874/X7c
14 15 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.442 304.55 306.43 305.49 1.880 976.56 0.955 4.104 19.504 68.197 1868.50 137.78 uid://A002/X36d874/X7e
15 16 2011.0.00405.S PKS1830-211 278.416330 -21.061080 1.331 93.07 94.95 94.01 1.878 976.56 3.083 12.937 58.774 29.824 1440.54 59.16 uid://A002/X36d874/X80
16 17 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.442 290.68 292.56 291.62 1.880 976.56 1.001 4.104 19.504 68.197 1903.65 137.16 uid://A002/X36d874/X7e
17 18 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.442 302.68 304.56 303.62 1.880 976.56 0.961 4.104 19.504 68.197 1848.24 135.87 uid://A002/X36d874/X7e
18 19 2011.0.00820.S ngc4418 186.727617 -0.877642 0.665 261.72 263.60 262.66 1.874 976.56 1.111 8.262 22.748 191.363 5507.00 377.20 uid://A002/X314ea1/X1fa
19 20 2011.0.00820.S ngc4418 186.727617 -0.877642 1.355 97.88 99.75 98.82 1.875 976.56 2.935 9.305 63.355 60.616 2862.27 120.59 uid://A002/X327408/X100
20 21 2011.0.00820.S ngc4418 186.727617 -0.877642 0.657 251.60 253.47 252.54 1.874 976.56 1.155 8.158 22.463 184.788 5492.90 368.94 uid://A002/X314ea1/X1ee
21 22 2011.0.00820.S ngc4418 186.727617 -0.877642 0.657 266.60 268.47 267.53 1.874 976.56 1.090 8.158 22.463 184.788 5382.61 372.08 uid://A002/X314ea1/X1ee
22 23 2011.0.00820.S ngc4418 186.727617 -0.877642 0.657 249.97 251.85 250.91 1.874 976.56 1.162 8.158 22.463 184.788 5505.70 368.62 uid://A002/X314ea1/X1ee
23 24 2011.0.00820.S ngc4418 186.727617 -0.877642 0.657 264.97 266.85 265.91 1.874 976.56 1.097 8.158 22.463 184.788 5393.90 371.73 uid://A002/X314ea1/X1ee
24 25 2011.0.00820.S ngc4418 186.727617 -0.877642 0.665 246.72 248.60 247.66 1.874 976.56 1.178 8.262 22.748 191.363 5623.83 374.09 uid://A002/X314ea1/X1fa
25 26 2011.0.00820.S ngc4418 186.727617 -0.877642 0.665 248.35 250.22 249.29 1.874 976.56 1.170 8.262 22.748 191.363 5610.45 374.41 uid://A002/X314ea1/X1fa
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
1335 1336 2018.1.01395.S NGC_253 11.888058 -25.288800 0.019 217.98 219.85 218.91 1.874 1128.91 1.539 0.500 25.549 12.404 398.35 24.92 uid://A001/X133d/X3025
1336 1337 2018.1.01395.S NGC_253 11.888058 -25.288800 0.019 235.98 237.85 236.91 1.874 1128.91 1.434 0.500 25.549 12.404 382.31 24.78 uid://A001/X133d/X3025
1337 1338 2019.1.00130.S NGC4418 186.727617 -0.877642 1.357 108.29 110.16 109.23 1.873 1938.48 5.366 24.940 55.903 10.485 468.79 20.59 uid://A001/X1465/X389c
1338 1339 2019.1.00130.S NGC4945 196.363663 -49.467900 2.523 91.70 93.57 92.63 1.873 1938.48 6.210 27.132 59.612 10.282 508.68 20.77 uid://A001/X1465/X3888
1339 1340 2019.1.00130.S NGC4418 186.727617 -0.877642 1.357 97.97 99.84 98.90 1.873 1938.48 5.820 24.940 55.903 10.485 507.47 21.40 uid://A001/X1465/X389c
1340 1341 2019.1.00130.S NGC4418 186.727617 -0.877642 1.357 96.28 98.15 97.21 1.873 1938.48 5.920 24.940 55.903 10.485 511.67 21.39 uid://A001/X1465/X389c
1341 1342 2019.1.00130.S NGC4945 196.363663 -49.467900 2.309 108.87 110.74 109.80 1.873 1938.48 5.338 22.321 55.608 18.936 799.25 35.19 uid://A001/X1465/X388c
1342 1343 2019.1.00130.S NGC4945 196.363663 -49.467900 2.309 110.76 112.63 111.69 1.873 1938.48 5.247 22.321 55.608 18.936 792.83 35.21 uid://A001/X1465/X388c
1343 1344 2019.1.00130.S NGC4945 196.363663 -49.467900 2.309 98.49 100.36 99.42 1.873 1938.48 5.791 22.321 55.608 18.936 976.30 41.27 uid://A001/X1465/X388c
1344 1345 2019.1.00130.S NGC4945 196.363663 -49.467900 2.309 96.80 98.67 97.73 1.873 1938.48 5.890 22.321 55.608 18.936 984.33 41.26 uid://A001/X1465/X388c
1345 1346 2019.1.00130.S NGC1068 40.669879 -0.013289 1.609 103.38 105.26 104.32 1.873 1938.48 5.621 20.838 59.730 9.858 461.89 19.82 uid://A001/X1465/X3890
1346 1347 2019.1.00130.S NGC1068 40.669879 -0.013289 1.609 101.58 103.45 102.51 1.873 1938.48 5.721 20.838 59.730 9.858 459.66 19.55 uid://A001/X1465/X3890
1347 1348 2019.1.00130.S NGC1068 40.669879 -0.013289 1.609 91.51 93.39 92.45 1.873 1938.48 6.223 20.838 59.730 9.858 480.47 19.59 uid://A001/X1465/X3890
1348 1349 2019.1.00130.S NGC1068 40.669879 -0.013289 1.609 89.72 91.59 90.65 1.873 1938.48 6.345 20.838 59.730 9.858 494.60 19.97 uid://A001/X1465/X3890
1349 1350 2019.1.00130.S NGC4418 186.727617 -0.877642 2.537 89.43 91.30 90.36 1.873 1938.48 6.364 27.048 59.922 9.343 466.81 18.82 uid://A001/X1465/X3898
1350 1351 2019.1.00130.S NGC4945 196.363663 -49.467900 2.523 101.78 103.65 102.72 1.873 1938.48 5.710 27.132 59.612 10.282 475.79 20.26 uid://A001/X1465/X3888
1351 1352 2019.1.00130.S NGC1068 40.669879 -0.013289 2.247 108.65 110.52 109.59 1.873 1938.48 5.349 21.118 55.719 21.996 960.67 42.25 uid://A001/X1465/X3894
1352 1353 2019.1.00130.S NGC1068 40.669879 -0.013289 2.247 110.54 112.42 111.48 1.873 1938.48 5.257 21.118 55.719 21.996 1131.63 50.21 uid://A001/X1465/X3894
1353 1354 2019.1.00130.S NGC1068 40.669879 -0.013289 2.247 98.29 100.16 99.23 1.873 1938.48 5.802 21.118 55.719 21.996 1007.18 42.54 uid://A001/X1465/X3894
1354 1355 2019.1.00130.S NGC4418 186.727617 -0.877642 2.537 103.05 104.92 103.99 1.873 1938.48 5.639 27.048 59.922 9.343 436.95 18.72 uid://A001/X1465/X3898
1355 1356 2019.1.00130.S NGC4418 186.727617 -0.877642 2.537 91.20 93.07 92.13 1.873 1938.48 6.243 27.048 59.922 9.343 459.55 18.71 uid://A001/X1465/X3898
1356 1357 2019.1.00130.S NGC4418 186.727617 -0.877642 2.537 101.24 103.11 102.18 1.873 1938.48 5.740 27.048 59.922 9.343 437.00 18.56 uid://A001/X1465/X3898
1357 1358 2019.1.00130.S NGC1068 40.669879 -0.013289 2.247 96.60 98.47 97.53 1.873 1938.48 5.902 21.118 55.719 21.996 1015.52 42.52 uid://A001/X1465/X3894
1358 1359 2019.1.00130.S NGC4945 196.363663 -49.467900 2.523 103.59 105.46 104.52 1.873 1938.48 5.610 27.132 59.612 10.282 478.30 20.54 uid://A001/X1465/X3888
1359 1360 2019.1.00130.S NGC4945 196.363663 -49.467900 2.523 89.90 91.77 90.84 1.873 1938.48 6.332 27.132 59.612 10.282 513.50 20.76 uid://A001/X1465/X3888
1360 1361 2019.1.00130.S NGC4418 186.727617 -0.877642 1.357 110.17 112.05 111.11 1.873 1938.48 5.274 24.940 55.903 10.485 465.01 20.60 uid://A001/X1465/X389c

1361 rows × 18 columns

Example 2.1.2: View the queried observations as a table and show all columns

In [16]:
alminer.explore(observations, allcols=True, allrows=False)
# you can also set allrows=True to see all rows in the table but this may be slow for very large queries
Out[16]:
Obs project_code ALMA_source_name RAJ2000 DEJ2000 ang_res_arcsec min_freq_GHz max_freq_GHz central_freq_GHz bandwidth_GHz freq_res_kHz vel_res_kms LAS_arcsec FoV_arcsec cont_sens_bandwidth line_sens_10kms line_sens_native MOUS_id access_url access_format proposal_id data_rights gal_longitude gal_latitude obs_publisher_did obs_collection facility_name instrument_name obs_id dataproduct_type calib_level target_name s_ra s_dec s_fov s_region s_resolution t_min t_max t_exptime t_resolution em_min em_max em_res_power pol_states o_ucd band_list em_resolution authors pub_abstract publication_year proposal_abstract schedblock_name proposal_authors sensitivity_10kms cont_sensitivity_bandwidth pwv group_ous_uid member_ous_uid asdm_uid obs_title type scan_intent science_observation spatial_scale_max bandwidth antenna_arrays is_mosaic obs_release_date spatial_resolution frequency_support frequency velocity_resolution obs_creator_name pub_title first_author qa2_passed bib_reference science_keyword scientific_category lastModified
0 1 2011.0.00268.S LESS J0332-2756 53.122042 -27.938694 1.167 239.50 241.37 240.43 1.875 976.56 1.213 8.943 23.564 79.299 1708.54 111.94 uid://A002/X303d22/X7b http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00268.S Public 223.796062 -54.451922 ADS/JAO.ALMA#2011.0.00268.S ALMA JAO ALMA uid://A002/X303d22/X7b cube 2 LESS J0332-2756 53.122042 -27.938694 0.006546 Circle ICRS 53.122042 -27.938694 0.003273 1.167248 55936.913188 55939.193372 4536.000 4536.000 0.001242 0.001252 247134.408560 /XX/YY/ phot.flux.density;phys.polarization 6 2.928016e+14 Leon, S.; Cortes, P.C.; Guerard, M.; Villard, ... Aims: We aim at analyzing the (sub-)millimeter... 2012 Metallicity of galaxies and its redshift evolu... LESS J0332-2756 De Breuck, Carlos; Hatsukade, Bunyo; Maiolino,... 1.708538 0.079299 1.422843 uid://A002/X303d22/X7b uid://A002/X36a70f/X318 Metallicity of a Submillimeter Galaxy at z=5 S TARGET WVR T 8.943092 1.875000e+09 A002:PM02 A004:DV04 A009:DA43 A011:DV12 A013:D... F 2013-02-09T01:45:00.000 1.167248 [239.50..241.37GHz,976.56kHz,1.7mJy/[email protected]/... 247.112856 1149.468553 Nagao, Tohru ALMA reveals a chemically evolved submillimete... Leon, S. Nagao, T. Ono, Yoshiaki T 2012A&A...542L..34N 2014ApJ...795....5O 2016A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
1 2 2011.0.00268.S LESS J0332-2756 53.122042 -27.938694 1.167 252.85 254.73 253.79 1.875 976.56 1.149 8.943 23.564 79.299 1675.07 112.74 uid://A002/X303d22/X7b http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00268.S Public 223.796062 -54.451922 ADS/JAO.ALMA#2011.0.00268.S ALMA JAO ALMA uid://A002/X303d22/X7b cube 2 LESS J0332-2756 53.122042 -27.938694 0.006546 Circle ICRS 53.122042 -27.938694 0.003273 1.167248 55936.913188 55939.193372 4536.000 4536.000 0.001177 0.001186 260809.621360 /XX/YY/ phot.flux.density;phys.polarization 6 2.928016e+14 Leon, S.; Cortes, P.C.; Guerard, M.; Villard, ... Aims: We aim at analyzing the (sub-)millimeter... 2012 Metallicity of galaxies and its redshift evolu... LESS J0332-2756 De Breuck, Carlos; Hatsukade, Bunyo; Maiolino,... 1.675071 0.079299 1.422843 uid://A002/X303d22/X7b uid://A002/X36a70f/X318 Metallicity of a Submillimeter Galaxy at z=5 S TARGET WVR T 8.943092 1.875000e+09 A002:PM02 A004:DV04 A009:DA43 A011:DV12 A013:D... F 2013-02-09T01:45:00.000 1.167248 [239.50..241.37GHz,976.56kHz,1.7mJy/[email protected]/... 247.112856 1149.468553 Nagao, Tohru ALMA reveals a chemically evolved submillimete... Leon, S. Nagao, T. Ono, Yoshiaki T 2012A&A...542L..34N 2014ApJ...795....5O 2016A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
2 3 2011.0.00405.S PKS1830-211 278.416330 -21.061080 1.331 105.07 106.95 106.01 1.878 976.56 2.737 12.937 58.774 29.824 1370.09 59.71 uid://A002/X36d874/X80 http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X80 cube 2 PKS1830-211 278.416330 -21.061080 0.016326 Circle ICRS 278.416330 -21.061080 0.008163 1.331051 56069.374548 56093.397660 3719.520 3719.520 0.002803 0.002853 109524.742000 /XX/YY/ phot.flux.density;phys.polarization 3 2.927369e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_HCOplus_b3_run_x3 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.370093 0.029824 0.923567 uid://A002/X36d874/X80 uid://A002/X411025/X441 A survey of strong absorption lines at z=0.89 ... S TARGET T 12.936728 1.875000e+09 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F 2013-10-10T14:47:51.000 1.331051 [91.20..93.08GHz,976.56kHz,1.5mJy/[email protected]/s,... 99.075504 2737.212182 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
3 4 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.455 283.51 285.39 284.45 1.874 976.56 1.026 3.448 20.113 60.429 1673.64 119.28 uid://A002/X36d874/X7a http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7a cube 2 PKS1830-211 278.416330 -21.061080 0.005587 Circle ICRS 278.416330 -21.061080 0.002793 0.454758 56028.238332 56028.363572 3144.960 3144.960 0.001050 0.001057 292274.950000 /XX/YY/ phot.flux.density;phys.polarization 7 2.927253e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_CH_and_H2O_b7_run_x2 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.673643 0.060429 0.703871 uid://A002/X36d874/X7a uid://A002/X3cb0a0/X9e8 A survey of strong absorption lines at z=0.89 ... S TARGET T 3.448268 1.875000e+09 A003:DA41 A011:DV12 A025:DV14 A037:PM01 A045:D... F 2013-05-22T07:31:59.000 0.454758 [281.64..283.51GHz,976.56kHz,1.7mJy/[email protected]/... 289.509775 984.336598 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
4 5 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.455 281.64 283.51 282.57 1.874 976.56 1.033 3.448 20.113 60.429 1677.23 119.14 uid://A002/X36d874/X7a http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7a cube 2 PKS1830-211 278.416330 -21.061080 0.005587 Circle ICRS 278.416330 -21.061080 0.002793 0.454758 56028.238332 56028.363572 3144.960 3144.960 0.001057 0.001064 290354.950000 /XX/YY/ phot.flux.density;phys.polarization 7 2.927253e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_CH_and_H2O_b7_run_x2 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.677226 0.060429 0.703871 uid://A002/X36d874/X7a uid://A002/X3cb0a0/X9e8 A survey of strong absorption lines at z=0.89 ... S TARGET T 3.448268 1.875000e+09 A003:DA41 A011:DV12 A025:DV14 A037:PM01 A045:D... F 2013-05-22T07:31:59.000 0.454758 [281.64..283.51GHz,976.56kHz,1.7mJy/[email protected]/... 289.509775 984.336598 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
5 6 2011.0.00405.S PKS1830-211 278.416330 -21.061080 1.331 103.20 105.08 104.14 1.878 976.56 2.786 12.937 58.774 29.824 1381.77 59.69 uid://A002/X36d874/X80 http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X80 cube 2 PKS1830-211 278.416330 -21.061080 0.016326 Circle ICRS 278.416330 -21.061080 0.008163 1.331051 56069.374548 56093.397660 3719.520 3719.520 0.002853 0.002905 107605.766000 /XX/YY/ phot.flux.density;phys.polarization 3 2.927369e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_HCOplus_b3_run_x3 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.381767 0.029824 0.923567 uid://A002/X36d874/X80 uid://A002/X411025/X441 A survey of strong absorption lines at z=0.89 ... S TARGET T 12.936728 1.875000e+09 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F 2013-10-10T14:47:51.000 1.331051 [91.20..93.08GHz,976.56kHz,1.5mJy/[email protected]/s,... 99.075504 2737.212182 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
6 7 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.563 259.58 261.47 260.52 1.894 976.56 1.120 5.088 23.118 74.597 2278.21 154.60 uid://A002/X36d874/X7c http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7c cube 2 PKS1830-211 278.416330 -21.061080 0.006422 Circle ICRS 278.416330 -21.061080 0.003211 0.562899 56026.250749 56093.330969 4838.400 4838.400 0.001147 0.001155 267762.499440 /XX/YY/ phot.flux.density;phys.polarization 6 2.927251e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830-211_CO4-3_b6_run_x2 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 2.278214 0.074597 2.122151 uid://A002/X36d874/X7c uid://A002/X3ca066/Xa6f A survey of strong absorption lines at z=0.89 ... S TARGET T 5.088294 1.875000e+09 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F 2013-10-19T12:40:13.000 0.562899 [242.31..244.20GHz,976.56kHz,2.2mJy/[email protected]/... 251.884124 1119.620778 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
7 8 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.442 292.55 294.43 293.49 1.880 976.56 0.994 4.104 19.504 68.197 1867.41 134.98 uid://A002/X36d874/X7e http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7e cube 2 PKS1830-211 278.416330 -21.061080 0.005418 Circle ICRS 278.416330 -21.061080 0.002709 0.441708 56070.225109 56082.381661 6048.000 6048.000 0.001018 0.001025 301521.659760 /XX/YY/ phot.flux.density;phys.polarization 7 2.927369e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_CO5-4_b7_run_x3 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.867413 0.068197 1.027013 uid://A002/X36d874/X7e uid://A002/X4122f3/X133 A survey of strong absorption lines at z=0.89 ... S TARGET T 4.104185 1.875000e+09 A003:DA41 A004:DV04 A011:DV12 A021:DV08 A025:D... F 2013-07-05T11:49:39.000 0.441708 [290.68..292.56GHz,976.56kHz,1.9mJy/[email protected]/... 298.550728 955.332153 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
8 9 2011.0.00405.S PKS1830-211 278.416330 -21.061080 1.331 91.20 93.08 92.14 1.878 976.56 3.145 12.937 58.774 29.824 1500.60 61.02 uid://A002/X36d874/X80 http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X80 cube 2 PKS1830-211 278.416330 -21.061080 0.016326 Circle ICRS 278.416330 -21.061080 0.008163 1.331051 56069.374548 56093.397660 3719.520 3719.520 0.003221 0.003287 95317.766000 /XX/YY/ phot.flux.density;phys.polarization 3 2.927369e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_HCOplus_b3_run_x3 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.500603 0.029824 0.923567 uid://A002/X36d874/X80 uid://A002/X411025/X441 A survey of strong absorption lines at z=0.89 ... S TARGET T 12.936728 1.875000e+09 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F 2013-10-10T14:47:51.000 1.331051 [91.20..93.08GHz,976.56kHz,1.5mJy/[email protected]/s,... 99.075504 2737.212182 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
9 10 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.563 256.63 258.53 257.58 1.894 976.56 1.132 5.088 23.118 74.597 2189.73 147.77 uid://A002/X36d874/X7c http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7c cube 2 PKS1830-211 278.416330 -21.061080 0.006422 Circle ICRS 278.416330 -21.061080 0.003211 0.562899 56026.250749 56093.330969 4838.400 4838.400 0.001160 0.001168 264749.082480 /XX/YY/ phot.flux.density;phys.polarization 6 2.927251e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830-211_CO4-3_b6_run_x2 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 2.189729 0.074597 2.122151 uid://A002/X36d874/X7c uid://A002/X3ca066/Xa6f A survey of strong absorption lines at z=0.89 ... S TARGET T 5.088294 1.875000e+09 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F 2013-10-19T12:40:13.000 0.562899 [242.31..244.20GHz,976.56kHz,2.2mJy/[email protected]/... 251.884124 1119.620778 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
10 11 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.563 244.13 246.02 245.08 1.893 976.56 1.190 5.088 23.118 74.597 2229.45 146.80 uid://A002/X36d874/X7c http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7c cube 2 PKS1830-211 278.416330 -21.061080 0.006422 Circle ICRS 278.416330 -21.061080 0.003211 0.562899 56026.250749 56093.330969 4838.400 4838.400 0.001219 0.001228 251943.624560 /XX/YY/ phot.flux.density;phys.polarization 6 2.927251e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830-211_CO4-3_b6_run_x2 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 2.229454 0.074597 2.122151 uid://A002/X36d874/X7c uid://A002/X3ca066/Xa6f A survey of strong absorption lines at z=0.89 ... S TARGET T 5.088294 1.875000e+09 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F 2013-10-19T12:40:13.000 0.562899 [242.31..244.20GHz,976.56kHz,2.2mJy/[email protected]/... 251.884124 1119.620778 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
11 12 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.455 295.51 297.38 296.45 1.874 976.56 0.984 3.448 20.113 60.429 1735.78 126.28 uid://A002/X36d874/X7a http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7a cube 2 PKS1830-211 278.416330 -21.061080 0.005587 Circle ICRS 278.416330 -21.061080 0.002793 0.454758 56028.238332 56028.363572 3144.960 3144.960 0.001008 0.001014 304562.950000 /XX/YY/ phot.flux.density;phys.polarization 7 2.927253e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_CH_and_H2O_b7_run_x2 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.735785 0.060429 0.703871 uid://A002/X36d874/X7a uid://A002/X3cb0a0/X9e8 A survey of strong absorption lines at z=0.89 ... S TARGET T 3.448268 1.875000e+09 A003:DA41 A011:DV12 A025:DV14 A037:PM01 A045:D... F 2013-05-22T07:31:59.000 0.454758 [281.64..283.51GHz,976.56kHz,1.7mJy/[email protected]/... 289.509775 984.336598 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
12 13 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.455 293.63 295.51 294.57 1.874 976.56 0.991 3.448 20.113 60.429 1655.25 120.04 uid://A002/X36d874/X7a http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7a cube 2 PKS1830-211 278.416330 -21.061080 0.005587 Circle ICRS 278.416330 -21.061080 0.002793 0.454758 56028.238332 56028.363572 3144.960 3144.960 0.001014 0.001021 302642.950000 /XX/YY/ phot.flux.density;phys.polarization 7 2.927253e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_CH_and_H2O_b7_run_x2 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.655253 0.060429 0.703871 uid://A002/X36d874/X7a uid://A002/X3cb0a0/X9e8 A survey of strong absorption lines at z=0.89 ... S TARGET T 3.448268 1.875000e+09 A003:DA41 A011:DV12 A025:DV14 A037:PM01 A045:D... F 2013-05-22T07:31:59.000 0.454758 [281.64..283.51GHz,976.56kHz,1.7mJy/[email protected]/... 289.509775 984.336598 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
13 14 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.563 242.31 244.20 243.25 1.894 976.56 1.199 5.088 23.118 74.597 2229.83 146.24 uid://A002/X36d874/X7c http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7c cube 2 PKS1830-211 278.416330 -21.061080 0.006422 Circle ICRS 278.416330 -21.061080 0.003211 0.562899 56026.250749 56093.330969 4838.400 4838.400 0.001228 0.001237 250078.682480 /XX/YY/ phot.flux.density;phys.polarization 6 2.927251e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830-211_CO4-3_b6_run_x2 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 2.229828 0.074597 2.122151 uid://A002/X36d874/X7c uid://A002/X3ca066/Xa6f A survey of strong absorption lines at z=0.89 ... S TARGET T 5.088294 1.875000e+09 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F 2013-10-19T12:40:13.000 0.562899 [242.31..244.20GHz,976.56kHz,2.2mJy/[email protected]/... 251.884124 1119.620778 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
14 15 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.442 304.55 306.43 305.49 1.880 976.56 0.955 4.104 19.504 68.197 1868.50 137.78 uid://A002/X36d874/X7e http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7e cube 2 PKS1830-211 278.416330 -21.061080 0.005418 Circle ICRS 278.416330 -21.061080 0.002709 0.441708 56070.225109 56082.381661 6048.000 6048.000 0.000978 0.000984 313809.659760 /XX/YY/ phot.flux.density;phys.polarization 7 2.927369e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_CO5-4_b7_run_x3 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.868498 0.068197 1.027013 uid://A002/X36d874/X7e uid://A002/X4122f3/X133 A survey of strong absorption lines at z=0.89 ... S TARGET T 4.104185 1.875000e+09 A003:DA41 A004:DV04 A011:DV12 A021:DV08 A025:D... F 2013-07-05T11:49:39.000 0.441708 [290.68..292.56GHz,976.56kHz,1.9mJy/[email protected]/... 298.550728 955.332153 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
15 16 2011.0.00405.S PKS1830-211 278.416330 -21.061080 1.331 93.07 94.95 94.01 1.878 976.56 3.083 12.937 58.774 29.824 1440.54 59.16 uid://A002/X36d874/X80 http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X80 cube 2 PKS1830-211 278.416330 -21.061080 0.016326 Circle ICRS 278.416330 -21.061080 0.008163 1.331051 56069.374548 56093.397660 3719.520 3719.520 0.003157 0.003221 97236.742000 /XX/YY/ phot.flux.density;phys.polarization 3 2.927369e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_HCOplus_b3_run_x3 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.440543 0.029824 0.923567 uid://A002/X36d874/X80 uid://A002/X411025/X441 A survey of strong absorption lines at z=0.89 ... S TARGET T 12.936728 1.875000e+09 A003:DA41 A004:DV04 A008:DV19 A011:DV12 A021:D... F 2013-10-10T14:47:51.000 1.331051 [91.20..93.08GHz,976.56kHz,1.5mJy/[email protected]/s,... 99.075504 2737.212182 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
16 17 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.442 290.68 292.56 291.62 1.880 976.56 1.001 4.104 19.504 68.197 1903.65 137.16 uid://A002/X36d874/X7e http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7e cube 2 PKS1830-211 278.416330 -21.061080 0.005418 Circle ICRS 278.416330 -21.061080 0.002709 0.441708 56070.225109 56082.381661 6048.000 6048.000 0.001025 0.001031 299601.659760 /XX/YY/ phot.flux.density;phys.polarization 7 2.927369e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_CO5-4_b7_run_x3 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.903645 0.068197 1.027013 uid://A002/X36d874/X7e uid://A002/X4122f3/X133 A survey of strong absorption lines at z=0.89 ... S TARGET T 4.104185 1.875000e+09 A003:DA41 A004:DV04 A011:DV12 A021:DV08 A025:D... F 2013-07-05T11:49:39.000 0.441708 [290.68..292.56GHz,976.56kHz,1.9mJy/[email protected]/... 298.550728 955.332153 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
17 18 2011.0.00405.S PKS1830-211 278.416330 -21.061080 0.442 302.68 304.56 303.62 1.880 976.56 0.961 4.104 19.504 68.197 1848.24 135.87 uid://A002/X36d874/X7e http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00405.S Public 12.165817 -5.711677 ADS/JAO.ALMA#2011.0.00405.S ALMA JAO ALMA uid://A002/X36d874/X7e cube 2 PKS1830-211 278.416330 -21.061080 0.005418 Circle ICRS 278.416330 -21.061080 0.002709 0.441708 56070.225109 56082.381661 6048.000 6048.000 0.000984 0.000990 311889.659760 /XX/YY/ phot.flux.density;phys.polarization 7 2.927369e+14 Bagdonaite, J.; Daprà, M.; Jansen, P.; Bethlem... A limit on a possible cosmological variation o... 2013 The z=0.89 (sub)mm molecular absorber toward t... PKS1830_CO5-4_b7_run_x3 Bethlem, Hendrick; Gerin, Maryvonne; Bottinell... 1.848243 0.068197 1.027013 uid://A002/X36d874/X7e uid://A002/X4122f3/X133 A survey of strong absorption lines at z=0.89 ... S TARGET T 4.104185 1.875000e+09 A003:DA41 A004:DV04 A011:DV12 A021:DV08 A025:D... F 2013-07-05T11:49:39.000 0.441708 [290.68..292.56GHz,976.56kHz,1.9mJy/[email protected]/... 298.550728 955.332153 Muller, Sebastien A strong magnetic field in the jet base of a s... Bagdonaite, J. Martí-Vidal, I. Martí-Vidal, Iv... T 2013A&A...558A.123M 2013PhRvL.111w1101B 2014A&... Galaxy structure & evolution, Galaxy chemistry Galaxy evolution 2021-06-16T16:46:50.431
18 19 2011.0.00820.S ngc4418 186.727617 -0.877642 0.665 261.72 263.60 262.66 1.874 976.56 1.111 8.262 22.748 191.363 5507.00 377.20 uid://A002/X314ea1/X1fa http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00820.S Public 290.048542 61.379017 ADS/JAO.ALMA#2011.0.00820.S ALMA JAO ALMA uid://A002/X314ea1/X1fa cube 2 ngc4418 186.727617 -0.877642 0.006319 Circle ICRS 186.727617 -0.877642 0.003159 0.664926 56293.314401 56293.327148 151.200 151.200 0.001137 0.001145 269951.750000 /XX/YY/ phot.flux.density;phys.polarization 6 2.927348e+14 Costagliola, F.; Sakamoto, K.; Muller, S.; Mar... Context. Extragalactic observations allow the ... 2015 A wide-band, high-quality, unbiased census of ... ngc4418 B6 Setup 12 Garcia-Burillo, Santiago; Muehle, Stefanie; Aa... 5.507000 0.191363 2.751811 uid://A002/X314ea1/X1fa uid://A002/X590461/X17e6 A 170 GHz-wide Complete Spectral Scan of an IR... S TARGET T 8.261900 1.875000e+09 A001:DV01 A003:DA41 A004:DV04 A006:DV07 A007:D... F 2014-01-18T12:52:22.000 0.664926 [246.72..248.60GHz,976.56kHz,5.6mJy/[email protected]/... 255.972659 1103.737386 Costagliola, Francesco Abundance measurements of Titan's stratospheri... Costagliola, F. Thelen, Alexander E. T 2015A&A...582A..91C 2019Icar..319..417T Luminous and Ultra-Luminous Infra-Red Galaxies... Galaxy evolution 2021-06-16T16:46:50.431
19 20 2011.0.00820.S ngc4418 186.727617 -0.877642 1.355 97.88 99.75 98.82 1.875 976.56 2.935 9.305 63.355 60.616 2862.27 120.59 uid://A002/X327408/X100 http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00820.S Public 290.048542 61.379017 ADS/JAO.ALMA#2011.0.00820.S ALMA JAO ALMA uid://A002/X327408/X100 cube 2 ngc4418 186.727617 -0.877642 0.017599 Circle ICRS 186.727617 -0.877642 0.008799 1.354752 56042.089628 56042.109167 332.640 332.640 0.003005 0.003063 102143.801200 /XX/YY/ phot.flux.density;phys.polarization 3 2.927779e+14 Costagliola, F.; Sakamoto, K.; Muller, S.; Mar... Context. Extragalactic observations allow the ... 2015 A wide-band, high-quality, unbiased census of ... ngc4418 B3 Setup 1: Run x 1 Garcia-Burillo, Santiago; Muehle, Stefanie; Aa... 2.862267 0.060616 2.623814 uid://A002/X327408/X100 uid://A002/X3e3a61/Xce A 170 GHz-wide Complete Spectral Scan of an IR... S TARGET T 9.304600 1.875000e+09 A003:DA41 A021:DV08 A025:DV14 A045:DV11 A046:D... F 2013-06-15T09:26:34.000 1.354752 [84.07..85.94GHz,976.56kHz,3.2mJy/[email protected]/s,... 91.910024 2935.003931 Costagliola, Francesco Abundance measurements of Titan's stratospheri... Costagliola, F. Thelen, Alexander E. T 2015A&A...582A..91C 2019Icar..319..417T Luminous and Ultra-Luminous Infra-Red Galaxies... Galaxy evolution 2021-06-16T16:46:50.431
20 21 2011.0.00820.S ngc4418 186.727617 -0.877642 0.657 251.60 253.47 252.54 1.874 976.56 1.155 8.158 22.463 184.788 5492.90 368.94 uid://A002/X314ea1/X1ee http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00820.S Public 290.048542 61.379017 ADS/JAO.ALMA#2011.0.00820.S ALMA JAO ALMA uid://A002/X314ea1/X1ee cube 2 ngc4418 186.727617 -0.877642 0.006240 Circle ICRS 186.727617 -0.877642 0.003120 0.656589 56293.474235 56293.487242 151.200 151.200 0.001183 0.001192 259583.750000 /XX/YY/ phot.flux.density;phys.polarization 6 2.927352e+14 Costagliola, F.; Sakamoto, K.; Muller, S.; Mar... Context. Extragalactic observations allow the ... 2015 A wide-band, high-quality, unbiased census of ... ngc4418 B6 Setup 13 Garcia-Burillo, Santiago; Muehle, Stefanie; Aa... 5.492896 0.184788 3.761806 uid://A002/X314ea1/X1ee uid://A002/X590461/X1b27 A 170 GHz-wide Complete Spectral Scan of an IR... S TARGET T 8.158316 1.875000e+09 A001:DV01 A003:DA41 A004:DV04 A006:DV07 A007:D... F 2014-06-25T06:41:57.000 0.656589 [249.97..251.85GHz,976.56kHz,5.5mJy/[email protected]/... 259.222672 1090.377424 Costagliola, Francesco Abundance measurements of Titan's stratospheri... Costagliola, F. Thelen, Alexander E. T 2015A&A...582A..91C 2019Icar..319..417T Luminous and Ultra-Luminous Infra-Red Galaxies... Galaxy evolution 2021-06-16T16:46:50.431
21 22 2011.0.00820.S ngc4418 186.727617 -0.877642 0.657 266.60 268.47 267.53 1.874 976.56 1.090 8.158 22.463 184.788 5382.61 372.08 uid://A002/X314ea1/X1ee http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00820.S Public 290.048542 61.379017 ADS/JAO.ALMA#2011.0.00820.S ALMA JAO ALMA uid://A002/X314ea1/X1ee cube 2 ngc4418 186.727617 -0.877642 0.006240 Circle ICRS 186.727617 -0.877642 0.003120 0.656589 56293.474235 56293.487242 151.200 151.200 0.001117 0.001125 274943.750000 /XX/YY/ phot.flux.density;phys.polarization 6 2.927352e+14 Costagliola, F.; Sakamoto, K.; Muller, S.; Mar... Context. Extragalactic observations allow the ... 2015 A wide-band, high-quality, unbiased census of ... ngc4418 B6 Setup 13 Garcia-Burillo, Santiago; Muehle, Stefanie; Aa... 5.382614 0.184788 3.761806 uid://A002/X314ea1/X1ee uid://A002/X590461/X1b27 A 170 GHz-wide Complete Spectral Scan of an IR... S TARGET T 8.158316 1.875000e+09 A001:DV01 A003:DA41 A004:DV04 A006:DV07 A007:D... F 2014-06-25T06:41:57.000 0.656589 [249.97..251.85GHz,976.56kHz,5.5mJy/[email protected]/... 259.222672 1090.377424 Costagliola, Francesco Abundance measurements of Titan's stratospheri... Costagliola, F. Thelen, Alexander E. T 2015A&A...582A..91C 2019Icar..319..417T Luminous and Ultra-Luminous Infra-Red Galaxies... Galaxy evolution 2021-06-16T16:46:50.431
22 23 2011.0.00820.S ngc4418 186.727617 -0.877642 0.657 249.97 251.85 250.91 1.874 976.56 1.162 8.158 22.463 184.788 5505.70 368.62 uid://A002/X314ea1/X1ee http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00820.S Public 290.048542 61.379017 ADS/JAO.ALMA#2011.0.00820.S ALMA JAO ALMA uid://A002/X314ea1/X1ee cube 2 ngc4418 186.727617 -0.877642 0.006240 Circle ICRS 186.727617 -0.877642 0.003120 0.656589 56293.474235 56293.487242 151.200 151.200 0.001190 0.001199 257919.750000 /XX/YY/ phot.flux.density;phys.polarization 6 2.927352e+14 Costagliola, F.; Sakamoto, K.; Muller, S.; Mar... Context. Extragalactic observations allow the ... 2015 A wide-band, high-quality, unbiased census of ... ngc4418 B6 Setup 13 Garcia-Burillo, Santiago; Muehle, Stefanie; Aa... 5.505704 0.184788 3.761806 uid://A002/X314ea1/X1ee uid://A002/X590461/X1b27 A 170 GHz-wide Complete Spectral Scan of an IR... S TARGET T 8.158316 1.875000e+09 A001:DV01 A003:DA41 A004:DV04 A006:DV07 A007:D... F 2014-06-25T06:41:57.000 0.656589 [249.97..251.85GHz,976.56kHz,5.5mJy/[email protected]/... 259.222672 1090.377424 Costagliola, Francesco Abundance measurements of Titan's stratospheri... Costagliola, F. Thelen, Alexander E. T 2015A&A...582A..91C 2019Icar..319..417T Luminous and Ultra-Luminous Infra-Red Galaxies... Galaxy evolution 2021-06-16T16:46:50.431
23 24 2011.0.00820.S ngc4418 186.727617 -0.877642 0.657 264.97 266.85 265.91 1.874 976.56 1.097 8.158 22.463 184.788 5393.90 371.73 uid://A002/X314ea1/X1ee http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00820.S Public 290.048542 61.379017 ADS/JAO.ALMA#2011.0.00820.S ALMA JAO ALMA uid://A002/X314ea1/X1ee cube 2 ngc4418 186.727617 -0.877642 0.006240 Circle ICRS 186.727617 -0.877642 0.003120 0.656589 56293.474235 56293.487242 151.200 151.200 0.001123 0.001131 273279.750000 /XX/YY/ phot.flux.density;phys.polarization 6 2.927352e+14 Costagliola, F.; Sakamoto, K.; Muller, S.; Mar... Context. Extragalactic observations allow the ... 2015 A wide-band, high-quality, unbiased census of ... ngc4418 B6 Setup 13 Garcia-Burillo, Santiago; Muehle, Stefanie; Aa... 5.393897 0.184788 3.761806 uid://A002/X314ea1/X1ee uid://A002/X590461/X1b27 A 170 GHz-wide Complete Spectral Scan of an IR... S TARGET T 8.158316 1.875000e+09 A001:DV01 A003:DA41 A004:DV04 A006:DV07 A007:D... F 2014-06-25T06:41:57.000 0.656589 [249.97..251.85GHz,976.56kHz,5.5mJy/[email protected]/... 259.222672 1090.377424 Costagliola, Francesco Abundance measurements of Titan's stratospheri... Costagliola, F. Thelen, Alexander E. T 2015A&A...582A..91C 2019Icar..319..417T Luminous and Ultra-Luminous Infra-Red Galaxies... Galaxy evolution 2021-06-16T16:46:50.431
24 25 2011.0.00820.S ngc4418 186.727617 -0.877642 0.665 246.72 248.60 247.66 1.874 976.56 1.178 8.262 22.748 191.363 5623.83 374.09 uid://A002/X314ea1/X1fa http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00820.S Public 290.048542 61.379017 ADS/JAO.ALMA#2011.0.00820.S ALMA JAO ALMA uid://A002/X314ea1/X1fa cube 2 ngc4418 186.727617 -0.877642 0.006319 Circle ICRS 186.727617 -0.877642 0.003159 0.664926 56293.314401 56293.327148 151.200 151.200 0.001206 0.001215 254591.750000 /XX/YY/ phot.flux.density;phys.polarization 6 2.927348e+14 Costagliola, F.; Sakamoto, K.; Muller, S.; Mar... Context. Extragalactic observations allow the ... 2015 A wide-band, high-quality, unbiased census of ... ngc4418 B6 Setup 12 Garcia-Burillo, Santiago; Muehle, Stefanie; Aa... 5.623833 0.191363 2.751811 uid://A002/X314ea1/X1fa uid://A002/X590461/X17e6 A 170 GHz-wide Complete Spectral Scan of an IR... S TARGET T 8.261900 1.875000e+09 A001:DV01 A003:DA41 A004:DV04 A006:DV07 A007:D... F 2014-01-18T12:52:22.000 0.664926 [246.72..248.60GHz,976.56kHz,5.6mJy/[email protected]/... 255.972659 1103.737386 Costagliola, Francesco Abundance measurements of Titan's stratospheri... Costagliola, F. Thelen, Alexander E. T 2015A&A...582A..91C 2019Icar..319..417T Luminous and Ultra-Luminous Infra-Red Galaxies... Galaxy evolution 2021-06-16T16:46:50.431
25 26 2011.0.00820.S ngc4418 186.727617 -0.877642 0.665 248.35 250.22 249.29 1.874 976.56 1.170 8.262 22.748 191.363 5610.45 374.41 uid://A002/X314ea1/X1fa http://almascience.org/aq?member_ous_id=uid://... text/html 2011.0.00820.S Public 290.048542 61.379017 ADS/JAO.ALMA#2011.0.00820.S ALMA JAO ALMA uid://A002/X314ea1/X1fa cube 2 ngc4418 186.727617 -0.877642 0.006319 Circle ICRS 186.727617 -0.877642 0.003159 0.664926 56293.314401 56293.327148 151.200 151.200 0.001198 0.001207 256255.750000 /XX/YY/ phot.flux.density;phys.polarization 6 2.927348e+14 Costagliola, F.; Sakamoto, K.; Muller, S.; Mar... Context. Extragalactic observations allow the ... 2015 A wide-band, high-quality, unbiased census of ... ngc4418 B6 Setup 12 Garcia-Burillo, Santiago; Muehle, Stefanie; Aa... 5.610448 0.191363 2.751811 uid://A002/X314ea1/X1fa uid://A002/X590461/X17e6 A 170 GHz-wide Complete Spectral Scan of an IR... S TARGET T 8.261900 1.875000e+09 A001:DV01 A003:DA41 A004:DV04 A006:DV07 A007:D... F 2014-01-18T12:52:22.000 0.664926 [246.72..248.60GHz,976.56kHz,5.6mJy/[email protected]/... 255.972659 1103.737386 Costagliola, Francesco Abundance measurements of Titan's stratospheri... Costagliola, F. Thelen, Alexander E. T 2015A&A...582A..91C 2019Icar..319..417T Luminous and Ultra-Luminous Infra-Red Galaxies... Galaxy evolution 2021-06-16T16:46:50.431
... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ... ...
1335 1336 2018.1.01395.S NGC_253 11.888058 -25.288800 0.019 217.98 219.85 218.91 1.874 1128.91 1.539 0.500 25.549 12.404 398.35 24.92 uid://A001/X133d/X3025 http://almascience.org/aq?member_ous_id=uid://... text/html 2018.1.01395.S Public 97.364395 -87.964503 ADS/JAO.ALMA#2018.1.01395.S ALMA JAO ALMA uid://A001/X133d/X3025 cube 2 NGC_253 11.888058 -25.288800 0.007097 Polygon ICRS 11.888794 -25.292286 11.887323 -2... 0.018645 58640.446034 58674.467208 16003.008 16003.008 0.001364 0.001375 194758.820482 /XX/YY/ phot.flux.density;phys.polarization 6 3.384169e+14 <NA> We have used 0.2" ALMA images of the HC3N vibr... NGC_253_a_06_TM1 Martin-Pintado, Jesus; Martin, Sergio; Gonzale... 0.398353 0.012404 0.911870 uid://A001/X133d/X3024 uid://A001/X133d/X3025 uid://A002/Xdd4cf3/X33a6 Witnessing the early stages of the formation o... S TARGET T 0.499517 1.875000e+09 A015:DA64 A058:DA41 A069:DV16 A074:DV09 A082:D... F 2021-02-12T18:33:55.000 0.018645 [217.98..219.85GHz,1128.91kHz,398.4uJy/[email protected] 227.913497 1434.115718 Rico Villas, Fernando T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1336 1337 2018.1.01395.S NGC_253 11.888058 -25.288800 0.019 235.98 237.85 236.91 1.874 1128.91 1.434 0.500 25.549 12.404 382.31 24.78 uid://A001/X133d/X3025 http://almascience.org/aq?member_ous_id=uid://... text/html 2018.1.01395.S Public 97.364395 -87.964503 ADS/JAO.ALMA#2018.1.01395.S ALMA JAO ALMA uid://A001/X133d/X3025 cube 2 NGC_253 11.888058 -25.288800 0.007097 Polygon ICRS 11.888794 -25.292286 11.887323 -2... 0.018645 58640.446034 58674.467208 16003.008 16003.008 0.001260 0.001270 209043.422558 /XX/YY/ phot.flux.density;phys.polarization 6 3.384169e+14 <NA> We have used 0.2" ALMA images of the HC3N vibr... NGC_253_a_06_TM1 Martin-Pintado, Jesus; Martin, Sergio; Gonzale... 0.382310 0.012404 0.911870 uid://A001/X133d/X3024 uid://A001/X133d/X3025 uid://A002/Xdd4cf3/X33a6 Witnessing the early stages of the formation o... S TARGET T 0.499517 1.875000e+09 A015:DA64 A058:DA41 A069:DV16 A074:DV09 A082:D... F 2021-02-12T18:33:55.000 0.018645 [217.98..219.85GHz,1128.91kHz,398.4uJy/[email protected] 227.913497 1434.115718 Rico Villas, Fernando T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1337 1338 2019.1.00130.S NGC4418 186.727617 -0.877642 1.357 108.29 110.16 109.23 1.873 1938.48 5.366 24.940 55.903 10.485 468.79 20.59 uid://A001/X1465/X389c http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 290.048542 61.379017 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X389c cube 2 NGC4418 186.727617 -0.877642 0.015529 Polygon ICRS 186.727617 -0.869878 186.729072 -... 1.356746 58787.582055 58825.599964 4898.880 4898.880 0.002721 0.002768 55868.832936 /XX/YY/ phot.flux.density;phys.polarization 3 5.810830e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4418_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.468785 0.010485 2.368327 uid://A001/X1465/X389b uid://A001/X1465/X389c uid://A002/Xe2ada9/X15596 A decisive answer on the carbon isotopic ratio... S TARGET T 24.939648 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-17T19:10:59.000 1.356746 [96.28..98.15GHz,1938.48kHz,511.7uJy/[email protected] 104.161888 5274.300699 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1338 1339 2019.1.00130.S NGC4945 196.363663 -49.467900 2.523 91.70 93.57 92.63 1.873 1938.48 6.210 27.132 59.612 10.282 508.68 20.77 uid://A001/X1465/X3888 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 305.271559 13.340115 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3888 cube 2 NGC4945 196.363663 -49.467900 0.016559 Polygon ICRS 196.371150 -49.461202 196.372949 ... 2.522933 58830.525869 58831.619778 10765.440 10765.440 0.003204 0.003269 48272.592043 /XX/YY/ phot.flux.density;phys.polarization 3 5.811169e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4945_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.508682 0.010282 3.740537 uid://A001/X1465/X3887 uid://A001/X1465/X3888 uid://A002/Xe50c9e/X11047 A decisive answer on the carbon isotopic ratio... S TARGET T 27.131876 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-04-06T23:21:24.000 2.522933 [89.90..91.77GHz,1938.48kHz,513.5uJy/[email protected] 97.681492 5609.869359 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1339 1340 2019.1.00130.S NGC4418 186.727617 -0.877642 1.357 97.97 99.84 98.90 1.873 1938.48 5.820 24.940 55.903 10.485 507.47 21.40 uid://A001/X1465/X389c http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 290.048542 61.379017 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X389c cube 2 NGC4418 186.727617 -0.877642 0.015529 Polygon ICRS 186.727617 -0.869878 186.729072 -... 1.356746 58787.582055 58825.599964 4898.880 4898.880 0.003003 0.003060 51508.746588 /XX/YY/ phot.flux.density;phys.polarization 3 5.810830e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4418_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.507473 0.010485 2.368327 uid://A001/X1465/X389b uid://A001/X1465/X389c uid://A002/Xe2ada9/X15596 A decisive answer on the carbon isotopic ratio... S TARGET T 24.939648 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-17T19:10:59.000 1.356746 [96.28..98.15GHz,1938.48kHz,511.7uJy/[email protected] 104.161888 5274.300699 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1340 1341 2019.1.00130.S NGC4418 186.727617 -0.877642 1.357 96.28 98.15 97.21 1.873 1938.48 5.920 24.940 55.903 10.485 511.67 21.39 uid://A001/X1465/X389c http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 290.048542 61.379017 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X389c cube 2 NGC4418 186.727617 -0.877642 0.015529 Polygon ICRS 186.727617 -0.869878 186.729072 -... 1.356746 58787.582055 58825.599964 4898.880 4898.880 0.003054 0.003114 50638.217620 /XX/YY/ phot.flux.density;phys.polarization 3 5.810830e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4418_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.511673 0.010485 2.368327 uid://A001/X1465/X389b uid://A001/X1465/X389c uid://A002/Xe2ada9/X15596 A decisive answer on the carbon isotopic ratio... S TARGET T 24.939648 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-17T19:10:59.000 1.356746 [96.28..98.15GHz,1938.48kHz,511.7uJy/[email protected] 104.161888 5274.300699 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1341 1342 2019.1.00130.S NGC4945 196.363663 -49.467900 2.309 108.87 110.74 109.80 1.873 1938.48 5.338 22.321 55.608 18.936 799.25 35.19 uid://A001/X1465/X388c http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 305.271559 13.340115 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X388c cube 2 NGC4945 196.363663 -49.467900 0.015447 Circle ICRS 196.363663 -49.467900 0.007723 2.309410 58803.513052 58803.528983 876.960 876.960 0.002707 0.002754 56162.029463 /XX/YY/ phot.flux.density;phys.polarization 3 5.811359e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4945_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.799253 0.018936 3.860288 uid://A001/X1465/X388b uid://A001/X1465/X388c uid://A002/Xe37224/X14cf9 A decisive answer on the carbon isotopic ratio... S TARGET T 22.320877 1.875000e+09 A001:DA48 A002:DA44 A004:DA56 A005:DV22 A006:D... F 2021-03-05T20:54:34.000 2.309410 [96.80..98.67GHz,1938.48kHz,984.3uJy/[email protected] 104.713465 5246.997281 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1342 1343 2019.1.00130.S NGC4945 196.363663 -49.467900 2.309 110.76 112.63 111.69 1.873 1938.48 5.247 22.321 55.608 18.936 792.83 35.21 uid://A001/X1465/X388c http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 305.271559 13.340115 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X388c cube 2 NGC4945 196.363663 -49.467900 0.015447 Circle ICRS 196.363663 -49.467900 0.007723 2.309410 58803.513052 58803.528983 876.960 876.960 0.002662 0.002707 57136.004067 /XX/YY/ phot.flux.density;phys.polarization 3 5.811359e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4945_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.792833 0.018936 3.860288 uid://A001/X1465/X388b uid://A001/X1465/X388c uid://A002/Xe37224/X14cf9 A decisive answer on the carbon isotopic ratio... S TARGET T 22.320877 1.875000e+09 A001:DA48 A002:DA44 A004:DA56 A005:DV22 A006:D... F 2021-03-05T20:54:34.000 2.309410 [96.80..98.67GHz,1938.48kHz,984.3uJy/[email protected] 104.713465 5246.997281 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1343 1344 2019.1.00130.S NGC4945 196.363663 -49.467900 2.309 98.49 100.36 99.42 1.873 1938.48 5.791 22.321 55.608 18.936 976.30 41.27 uid://A001/X1465/X388c http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 305.271559 13.340115 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X388c cube 2 NGC4945 196.363663 -49.467900 0.015447 Circle ICRS 196.363663 -49.467900 0.007723 2.309410 58803.513052 58803.528983 876.960 876.960 0.002987 0.003044 51772.734587 /XX/YY/ phot.flux.density;phys.polarization 3 5.811359e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4945_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.976296 0.018936 3.860288 uid://A001/X1465/X388b uid://A001/X1465/X388c uid://A002/Xe37224/X14cf9 A decisive answer on the carbon isotopic ratio... S TARGET T 22.320877 1.875000e+09 A001:DA48 A002:DA44 A004:DA56 A005:DV22 A006:D... F 2021-03-05T20:54:34.000 2.309410 [96.80..98.67GHz,1938.48kHz,984.3uJy/[email protected] 104.713465 5246.997281 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1344 1345 2019.1.00130.S NGC4945 196.363663 -49.467900 2.309 96.80 98.67 97.73 1.873 1938.48 5.890 22.321 55.608 18.936 984.33 41.26 uid://A001/X1465/X388c http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 305.271559 13.340115 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X388c cube 2 NGC4945 196.363663 -49.467900 0.015447 Circle ICRS 196.363663 -49.467900 0.007723 2.309410 58803.513052 58803.528983 876.960 876.960 0.003038 0.003097 50901.751170 /XX/YY/ phot.flux.density;phys.polarization 3 5.811359e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4945_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.984333 0.018936 3.860288 uid://A001/X1465/X388b uid://A001/X1465/X388c uid://A002/Xe37224/X14cf9 A decisive answer on the carbon isotopic ratio... S TARGET T 22.320877 1.875000e+09 A001:DA48 A002:DA44 A004:DA56 A005:DV22 A006:D... F 2021-03-05T20:54:34.000 2.309410 [96.80..98.67GHz,1938.48kHz,984.3uJy/[email protected] 104.713465 5246.997281 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1345 1346 2019.1.00130.S NGC1068 40.669879 -0.013289 1.609 103.38 105.26 104.32 1.873 1938.48 5.621 20.838 59.730 9.858 461.89 19.82 uid://A001/X1465/X3890 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 172.103977 -51.933584 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3890 cube 2 NGC1068 40.669879 -0.013289 0.016592 Polygon ICRS 40.669879 -0.021585 40.668325 -0.... 1.608789 58790.229826 58802.118198 9918.720 9918.720 0.002848 0.002900 53330.846587 /XX/YY/ phot.flux.density;phys.polarization 3 5.811652e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC1068_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.461887 0.009858 2.751755 uid://A001/X1465/X388f uid://A001/X1465/X3890 uid://A002/Xe2eefc/X31df A decisive answer on the carbon isotopic ratio... S TARGET T 20.837939 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-10T20:24:07.000 1.608789 [89.72..91.59GHz,1938.48kHz,494.6uJy/[email protected] 97.487731 5621.370692 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1346 1347 2019.1.00130.S NGC1068 40.669879 -0.013289 1.609 101.58 103.45 102.51 1.873 1938.48 5.721 20.838 59.730 9.858 459.66 19.55 uid://A001/X1465/X3890 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 172.103977 -51.933584 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3890 cube 2 NGC1068 40.669879 -0.013289 0.016592 Polygon ICRS 40.669879 -0.021585 40.668325 -0.... 1.608789 58790.229826 58802.118198 9918.720 9918.720 0.002898 0.002951 52398.067385 /XX/YY/ phot.flux.density;phys.polarization 3 5.811652e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC1068_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.459663 0.009858 2.751755 uid://A001/X1465/X388f uid://A001/X1465/X3890 uid://A002/Xe2eefc/X31df A decisive answer on the carbon isotopic ratio... S TARGET T 20.837939 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-10T20:24:07.000 1.608789 [89.72..91.59GHz,1938.48kHz,494.6uJy/[email protected] 97.487731 5621.370692 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1347 1348 2019.1.00130.S NGC1068 40.669879 -0.013289 1.609 91.51 93.39 92.45 1.873 1938.48 6.223 20.838 59.730 9.858 480.47 19.59 uid://A001/X1465/X3890 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 172.103977 -51.933584 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3890 cube 2 NGC1068 40.669879 -0.013289 0.016592 Polygon ICRS 40.669879 -0.021585 40.668325 -0.... 1.608789 58790.229826 58802.118198 9918.720 9918.720 0.003210 0.003276 48173.837781 /XX/YY/ phot.flux.density;phys.polarization 3 5.811652e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC1068_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.480466 0.009858 2.751755 uid://A001/X1465/X388f uid://A001/X1465/X3890 uid://A002/Xe2eefc/X31df A decisive answer on the carbon isotopic ratio... S TARGET T 20.837939 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-10T20:24:07.000 1.608789 [89.72..91.59GHz,1938.48kHz,494.6uJy/[email protected] 97.487731 5621.370692 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1348 1349 2019.1.00130.S NGC1068 40.669879 -0.013289 1.609 89.72 91.59 90.65 1.873 1938.48 6.345 20.838 59.730 9.858 494.60 19.97 uid://A001/X1465/X3890 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 172.103977 -51.933584 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3890 cube 2 NGC1068 40.669879 -0.013289 0.016592 Polygon ICRS 40.669879 -0.021585 40.668325 -0.... 1.608789 58790.229826 58802.118198 9918.720 9918.720 0.003273 0.003342 47246.711574 /XX/YY/ phot.flux.density;phys.polarization 3 5.811652e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC1068_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.494603 0.009858 2.751755 uid://A001/X1465/X388f uid://A001/X1465/X3890 uid://A002/Xe2eefc/X31df A decisive answer on the carbon isotopic ratio... S TARGET T 20.837939 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-10T20:24:07.000 1.608789 [89.72..91.59GHz,1938.48kHz,494.6uJy/[email protected] 97.487731 5621.370692 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1349 1350 2019.1.00130.S NGC4418 186.727617 -0.877642 2.537 89.43 91.30 90.36 1.873 1938.48 6.364 27.048 59.922 9.343 466.81 18.82 uid://A001/X1465/X3898 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 290.048542 61.379017 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3898 cube 2 NGC4418 186.727617 -0.877642 0.016645 Polygon ICRS 186.727617 -0.869320 186.729177 -... 2.537301 58810.445022 58842.573071 16632.000 16632.000 0.003284 0.003352 47103.985999 /XX/YY/ phot.flux.density;phys.polarization 3 5.810791e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4418_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.466810 0.009343 2.977325 uid://A001/X1465/X3897 uid://A001/X1465/X3898 uid://A002/Xe3f5bb/X3259 A decisive answer on the carbon isotopic ratio... S TARGET T 27.047713 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-04-07T00:23:33.000 2.537301 [89.43..91.30GHz,1938.48kHz,466.8uJy/[email protected] 97.175661 5638.752118 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1350 1351 2019.1.00130.S NGC4945 196.363663 -49.467900 2.523 101.78 103.65 102.72 1.873 1938.48 5.710 27.132 59.612 10.282 475.79 20.26 uid://A001/X1465/X3888 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 305.271559 13.340115 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3888 cube 2 NGC4945 196.363663 -49.467900 0.016559 Polygon ICRS 196.371150 -49.461202 196.372949 ... 2.522933 58830.525869 58831.619778 10765.440 10765.440 0.002892 0.002945 52507.569686 /XX/YY/ phot.flux.density;phys.polarization 3 5.811169e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4945_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.475794 0.010282 3.740537 uid://A001/X1465/X3887 uid://A001/X1465/X3888 uid://A002/Xe50c9e/X11047 A decisive answer on the carbon isotopic ratio... S TARGET T 27.131876 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-04-06T23:21:24.000 2.522933 [89.90..91.77GHz,1938.48kHz,513.5uJy/[email protected] 97.681492 5609.869359 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1351 1352 2019.1.00130.S NGC1068 40.669879 -0.013289 2.247 108.65 110.52 109.59 1.873 1938.48 5.349 21.118 55.719 21.996 960.67 42.25 uid://A001/X1465/X3894 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 172.103977 -51.933584 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3894 cube 2 NGC1068 40.669879 -0.013289 0.015477 Circle ICRS 40.669879 -0.013289 0.007739 2.246874 58803.153086 58803.168742 846.720 846.720 0.002712 0.002759 56045.630140 /XX/YY/ phot.flux.density;phys.polarization 3 5.811774e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC1068_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.960667 0.021996 5.121032 uid://A001/X1465/X3893 uid://A001/X1465/X3894 uid://A002/Xe37224/X12917 A decisive answer on the carbon isotopic ratio... S TARGET T 21.118095 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-05T21:54:54.000 2.246874 [96.60..98.47GHz,1938.48kHz,1mJy/[email protected]/s,4... 104.505756 5257.484293 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1352 1353 2019.1.00130.S NGC1068 40.669879 -0.013289 2.247 110.54 112.42 111.48 1.873 1938.48 5.257 21.118 55.719 21.996 1131.63 50.21 uid://A001/X1465/X3894 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 172.103977 -51.933584 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3894 cube 2 NGC1068 40.669879 -0.013289 0.015477 Circle ICRS 40.669879 -0.013289 0.007739 2.246874 58803.153086 58803.168742 846.720 846.720 0.002667 0.002712 57022.035883 /XX/YY/ phot.flux.density;phys.polarization 3 5.811774e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC1068_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 1.131625 0.021996 5.121032 uid://A001/X1465/X3893 uid://A001/X1465/X3894 uid://A002/Xe37224/X12917 A decisive answer on the carbon isotopic ratio... S TARGET T 21.118095 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-05T21:54:54.000 2.246874 [96.60..98.47GHz,1938.48kHz,1mJy/[email protected]/s,4... 104.505756 5257.484293 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1353 1354 2019.1.00130.S NGC1068 40.669879 -0.013289 2.247 98.29 100.16 99.23 1.873 1938.48 5.802 21.118 55.719 21.996 1007.18 42.54 uid://A001/X1465/X3894 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 172.103977 -51.933584 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3894 cube 2 NGC1068 40.669879 -0.013289 0.015477 Circle ICRS 40.669879 -0.013289 0.007739 2.246874 58803.153086 58803.168742 846.720 846.720 0.002993 0.003050 51667.340290 /XX/YY/ phot.flux.density;phys.polarization 3 5.811774e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC1068_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 1.007181 0.021996 5.121032 uid://A001/X1465/X3893 uid://A001/X1465/X3894 uid://A002/Xe37224/X12917 A decisive answer on the carbon isotopic ratio... S TARGET T 21.118095 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-05T21:54:54.000 2.246874 [96.60..98.47GHz,1938.48kHz,1mJy/[email protected]/s,4... 104.505756 5257.484293 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1354 1355 2019.1.00130.S NGC4418 186.727617 -0.877642 2.537 103.05 104.92 103.99 1.873 1938.48 5.639 27.048 59.922 9.343 436.95 18.72 uid://A001/X1465/X3898 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 290.048542 61.379017 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3898 cube 2 NGC4418 186.727617 -0.877642 0.016645 Polygon ICRS 186.727617 -0.869320 186.729177 -... 2.537301 58810.445022 58842.573071 16632.000 16632.000 0.002857 0.002909 53166.454513 /XX/YY/ phot.flux.density;phys.polarization 3 5.810791e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4418_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.436953 0.009343 2.977325 uid://A001/X1465/X3897 uid://A001/X1465/X3898 uid://A002/Xe3f5bb/X3259 A decisive answer on the carbon isotopic ratio... S TARGET T 27.047713 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-04-07T00:23:33.000 2.537301 [89.43..91.30GHz,1938.48kHz,466.8uJy/[email protected] 97.175661 5638.752118 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1355 1356 2019.1.00130.S NGC4418 186.727617 -0.877642 2.537 91.20 93.07 92.13 1.873 1938.48 6.243 27.048 59.922 9.343 459.55 18.71 uid://A001/X1465/X3898 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 290.048542 61.379017 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3898 cube 2 NGC4418 186.727617 -0.877642 0.016645 Polygon ICRS 186.727617 -0.869320 186.729177 -... 2.537301 58810.445022 58842.573071 16632.000 16632.000 0.003221 0.003287 48017.332095 /XX/YY/ phot.flux.density;phys.polarization 3 5.810791e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4418_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.459546 0.009343 2.977325 uid://A001/X1465/X3897 uid://A001/X1465/X3898 uid://A002/Xe3f5bb/X3259 A decisive answer on the carbon isotopic ratio... S TARGET T 27.047713 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-04-07T00:23:33.000 2.537301 [89.43..91.30GHz,1938.48kHz,466.8uJy/[email protected] 97.175661 5638.752118 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1356 1357 2019.1.00130.S NGC4418 186.727617 -0.877642 2.537 101.24 103.11 102.18 1.873 1938.48 5.740 27.048 59.922 9.343 437.00 18.56 uid://A001/X1465/X3898 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 290.048542 61.379017 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3898 cube 2 NGC4418 186.727617 -0.877642 0.016645 Polygon ICRS 186.727617 -0.869320 186.729177 -... 2.537301 58810.445022 58842.573071 16632.000 16632.000 0.002907 0.002961 52231.920422 /XX/YY/ phot.flux.density;phys.polarization 3 5.810791e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4418_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.436998 0.009343 2.977325 uid://A001/X1465/X3897 uid://A001/X1465/X3898 uid://A002/Xe3f5bb/X3259 A decisive answer on the carbon isotopic ratio... S TARGET T 27.047713 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-04-07T00:23:33.000 2.537301 [89.43..91.30GHz,1938.48kHz,466.8uJy/[email protected] 97.175661 5638.752118 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1357 1358 2019.1.00130.S NGC1068 40.669879 -0.013289 2.247 96.60 98.47 97.53 1.873 1938.48 5.902 21.118 55.719 21.996 1015.52 42.52 uid://A001/X1465/X3894 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 172.103977 -51.933584 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3894 cube 2 NGC1068 40.669879 -0.013289 0.015477 Circle ICRS 40.669879 -0.013289 0.007739 2.246874 58803.153086 58803.168742 846.720 846.720 0.003045 0.003104 50793.714099 /XX/YY/ phot.flux.density;phys.polarization 3 5.811774e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC1068_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 1.015517 0.021996 5.121032 uid://A001/X1465/X3893 uid://A001/X1465/X3894 uid://A002/Xe37224/X12917 A decisive answer on the carbon isotopic ratio... S TARGET T 21.118095 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-05T21:54:54.000 2.246874 [96.60..98.47GHz,1938.48kHz,1mJy/[email protected]/s,4... 104.505756 5257.484293 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1358 1359 2019.1.00130.S NGC4945 196.363663 -49.467900 2.523 103.59 105.46 104.52 1.873 1938.48 5.610 27.132 59.612 10.282 478.30 20.54 uid://A001/X1465/X3888 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 305.271559 13.340115 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3888 cube 2 NGC4945 196.363663 -49.467900 0.016559 Polygon ICRS 196.371150 -49.461202 196.372949 ... 2.522933 58830.525869 58831.619778 10765.440 10765.440 0.002843 0.002894 53440.185286 /XX/YY/ phot.flux.density;phys.polarization 3 5.811169e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4945_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.478302 0.010282 3.740537 uid://A001/X1465/X3887 uid://A001/X1465/X3888 uid://A002/Xe50c9e/X11047 A decisive answer on the carbon isotopic ratio... S TARGET T 27.131876 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-04-06T23:21:24.000 2.522933 [89.90..91.77GHz,1938.48kHz,513.5uJy/[email protected] 97.681492 5609.869359 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1359 1360 2019.1.00130.S NGC4945 196.363663 -49.467900 2.523 89.90 91.77 90.84 1.873 1938.48 6.332 27.132 59.612 10.282 513.50 20.76 uid://A001/X1465/X3888 http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 305.271559 13.340115 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X3888 cube 2 NGC4945 196.363663 -49.467900 0.016559 Polygon ICRS 196.371150 -49.461202 196.372949 ... 2.522933 58830.525869 58831.619778 10765.440 10765.440 0.003267 0.003335 47345.641143 /XX/YY/ phot.flux.density;phys.polarization 3 5.811169e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4945_a_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.513502 0.010282 3.740537 uid://A001/X1465/X3887 uid://A001/X1465/X3888 uid://A002/Xe50c9e/X11047 A decisive answer on the carbon isotopic ratio... S TARGET T 27.131876 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-04-06T23:21:24.000 2.522933 [89.90..91.77GHz,1938.48kHz,513.5uJy/[email protected] 97.681492 5609.869359 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431
1360 1361 2019.1.00130.S NGC4418 186.727617 -0.877642 1.357 110.17 112.05 111.11 1.873 1938.48 5.274 24.940 55.903 10.485 465.01 20.60 uid://A001/X1465/X389c http://almascience.org/aq?member_ous_id=uid://... text/html 2019.1.00130.S Public 290.048542 61.379017 ADS/JAO.ALMA#2019.1.00130.S ALMA JAO ALMA uid://A001/X1465/X389c cube 2 NGC4418 186.727617 -0.877642 0.015529 Polygon ICRS 186.727617 -0.869878 186.729072 -... 1.356746 58787.582055 58825.599964 4898.880 4898.880 0.002676 0.002721 56840.228703 /XX/YY/ phot.flux.density;phys.polarization 3 5.810830e+14 <NA> The 12C/13C isotopic ratio is a good tracer of... NGC4418_b_03_TM1 Krips, Melanie; Garcia-Burillo, Santiago; Mueh... 0.465008 0.010485 2.368327 uid://A001/X1465/X389b uid://A001/X1465/X389c uid://A002/Xe2ada9/X15596 A decisive answer on the carbon isotopic ratio... S TARGET T 24.939648 1.875000e+09 A001:DA48 A002:DA44 A003:DV23 A004:DA56 A005:D... F 2021-03-17T19:10:59.000 1.356746 [96.28..98.15GHz,1938.48kHz,511.7uJy/[email protected] 104.161888 5274.300699 Martin, Sergio T Starbursts, star formation, Galaxy chemistry Active galaxies 2021-06-16T16:46:50.431

1361 rows × 81 columns

2.2 Summarize results

The alminer.summary function will print a summary of the observations. This is done by default when the query is run, but it's a useful function if the results are filtered further, as shown in the next section.


Details of summary function * Description: Print a summary of the observations.

* Command:
* alminer.**summary**(_observations, print_targets=True_)

* Parameters:
* **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
* **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.

***

Example 2.2.1: print the summary of a given query result, including a list of unique ALMA target names

In [17]:
alminer.summary(observations)
--------------------------------
Number of projects = 47
Number of observations = 339
Number of unique subbands = 1162
Total number of subbands = 1361
63 target(s) with ALMA data = ['LESS J0332-2756', 'PKS1830-211', 'ngc4418', 'NGC7469', 'NGC_1097', 'Arp220', 'NGC_5253', 'M83', 'NGC253', 'NGC1266', 'vv114', 'Mystery_Object', 'Sgr_A_star', 'SDSS_J080430.99+360718.1', 'ngc_3256', 'NGC_3256', 'NGC_55', 'ngc3256', 'NGC4418', 'NGC_3627_BE', 'circinus', 'IRAS_F16399-0937', 'ngc6240', 'ngc613', 'n613', 'ngc253', 'N159-E', 'N159-W', 'N159-W_south', 'm83', 'IRAS_13120-5453', 'ngc4945', 'HE1353-1917', 'HE0108-4743', 'HE1108-2813', 'HE1029-1831', 'HE0433-1028', 'Y052343.48-680033.9', 'Y045406.43-664601.4', 'Y045358.57-691106.7', 'Y051912.27-690907.2', 'Y045100.16-691934.4', 'Y052210.08-673459.6', 'Y052423.39-693904.7', 'ST6', 'Y051916.87-693757.5', 'Y054826.21-700850.2', 'Y050953.89-685336.7', 'Y052333.40-693712.1', 'Y053952.11-710930.7', 'Y045622.61-663656.9', 'Y054248.90-694446.3', 'Y054629.32-693514.2', 'Y051344.99-693510.6', 'Y050355.87-672045.1', 'Y044854.41-690948.3', 'ST10', 'ngc4526', 'Cloverleaf', 'ngc7465', 'NGC_253', 'NGC4945', 'NGC1068']
--------------------------------

Example 2.2.2: print the summary of a given query result WITHOUT the list of target names

For big tables, it is useful to avoid printing the list of target names in the summary. This can be done by setting print_targets=False.

In [18]:
alminer.summary(observations, print_targets=False)
--------------------------------
Number of projects = 47
Number of observations = 339
Number of unique subbands = 1162
Total number of subbands = 1361
Total number of targets with ALMA data = 63
--------------------------------

2.3 Filter results

The search results can be further narrowed down by using PANDAS DataFrame functions. See also this introduction to data structures. For example, you can use your_query.columns to get a list of all columns in the DataFrame.

To get the description and units of any column use the function alminer.get_info('column_name') where column_name is the name of the column.

Details of get_info function * Description: Print the description and units of a given column in the query results DataFrame.

* Command:
* alminer.**get_info**(_column_)

* Parameters:
* **column (str)** : A column in the pandas.DataFrame query table.
***

Example 2.3.1: simple selection - observations with angular resolutions < 0.5"

Let's first check what the description and units of ang_res_arcsec column are:

In [19]:
alminer.get_info('ang_res_arcsec')
--------------------------------
Column: ang_res_arcsec
--------------------------------
Description: typical spatial resolution
Units: arcsec
--------------------------------

Now we can do the some further filtering, say to only keep observations with angular resolutions < 0.5":

In [20]:
selected = observations[observations['ang_res_arcsec'] < 0.5]

and print the summary:

In [21]:
alminer.summary(selected, print_targets=False)
--------------------------------
Number of projects = 23
Number of observations = 121
Number of unique subbands = 367
Total number of subbands = 484
Total number of targets with ALMA data = 41
--------------------------------

Example 2.3.2: multiple selections - observations with angular resolution < 0.5" & velocity resolution < 1 km/s

In [22]:
selected = observations[(observations['ang_res_arcsec'] < 0.5) & 
                        (observations['vel_res_kms'] < 1.0)]
alminer.summary(selected, print_targets=False)
--------------------------------
Number of projects = 9
Number of observations = 48
Number of unique subbands = 65
Total number of subbands = 109
Total number of targets with ALMA data = 26
--------------------------------

Example 2.3.3: observations containing a given frequency

In [23]:
freq = 220.5  
selected = observations[(observations["min_freq_GHz"] < freq) & 
                        (observations["max_freq_GHz"] > freq)]
alminer.summary(selected, print_targets=False)
--------------------------------
Number of projects = 6
Number of observations = 7
Number of unique subbands = 7
Total number of subbands = 7
Total number of targets with ALMA data = 5
--------------------------------

2.4 Line coverage

An alternative to the last example in the previous section is the alminer.line_coverage function which determines how many targets were observed at a given frequency with the option to include a redshift for the line of interest to be taken into account. Some notes:

  • Line frequencies should be given in GHz
  • Redshift is by default assumed to be 0
  • The line_name keyword is the user's defined name for the frquency provided


Details of line_coverage function * Description: Determine how many observations were observed at a given frequency (+redshift).

* Command:
* alminer.**line_coverage**(_observations, line_freq, z=0., line_name='', print_summary=True, print_targets=True_)

* Parameters:
* **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
* **line_freq (float64)** : Frequency of the line of interest in GHz.
* **z (float64, optional, default: 0)** : Redshift by which the frequency given in 'line_freq' parameter should be shifted.
* **line_name (str, optional, default: '')** : Name of the line specified in 'line_freq'.
* **print_summary (bool, optional, default: True)** : Print a summary of the observations to the terminal.
* **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.

* Returns:
* **pandas.DataFrame** containing all observations of line of interest. ***

Example 2.4.1: search whether a given frequency is covered in the observations

In [24]:
myline_obs = alminer.line_coverage(observations, 
                                   line_freq=220.5, 
                                   z=0, 
                                   line_name="My favourite line", 
                                   print_targets=True)
--------------------------------
Summary of 'My favourite line' observations at 220.5 GHz
--------------------------------
Number of projects = 6
Number of observations = 7
Number of unique subbands = 7
Total number of subbands = 7
5 target(s) with ALMA data = ['Arp220', 'ngc_3256', 'IRAS_13120-5453', 'ngc253', 'NGC_253']
--------------------------------

Example 2.4.2: search whether a given frequency is observed for a target at a given redshift

In [25]:
myline_obs = alminer.line_coverage(observations, 
                                   line_freq=400.0, 
                                   z=0.5, 
                                   line_name="My favourite line", 
                                   print_targets=True)
--------------------------------
Summary of 'My favourite line' observations at 400.0 GHz (266.667 GHz at z=0.5)
--------------------------------
Number of projects = 8
Number of observations = 10
Number of unique subbands = 11
Total number of subbands = 11
6 target(s) with ALMA data = ['ngc4418', 'Arp220', 'ngc_3256', 'circinus', 'ngc4945', 'ngc253']
--------------------------------

2.5 Coverage of CO, 13CO, and C18O lines

The alminer.CO_lines function determines how many CO, 13CO, and C18O lines were observed in the provided DataFrame and returns a DataFrame containing all observations of these transitions.


Details of CO_lines function * Description: Determine how many CO, 13CO, and C18O lines were observed in the provided query DataFrame.

* Command:
* alminer.**CO_lines**(_observations, z=0., print_summary=True, print_targets=True_)

* Parameters:
* **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
* **z (float64, optional, default: 0)** : Redshift by which the frequency given in 'line_freq' parameter should be shifted.
* **print_summary (bool, optional, default: True)** : Print a summary of the observations to the terminal.
* **print_targets (bool, optional, default: True)** : Print a list of targets with ALMA data (ALMA source names) to the terminal.

* Returns:
* **pandas.DataFrame** containing all observations of CO, 13CO, and C18O ***

Example 2.5.1: search whether any CO, 13CO, and C18O lines were observed in the query results

In [26]:
CO_obs = alminer.CO_lines(observations, print_targets=False)
--------------------------------
Summary of 'CO (1-0)' observations at 115.271 GHz
--------------------------------
Number of projects = 4
Number of observations = 5
Number of unique subbands = 4
Total number of subbands = 5
Total number of targets with ALMA data = 3
--------------------------------
--------------------------------
Summary of 'CO (2-1)' observations at 230.538 GHz
--------------------------------
Number of projects = 10
Number of observations = 13
Number of unique subbands = 13
Total number of subbands = 13
Total number of targets with ALMA data = 8
--------------------------------
--------------------------------
Summary of 'CO (3-2)' observations at 345.796 GHz
--------------------------------
Number of projects = 3
Number of observations = 5
Number of unique subbands = 5
Total number of subbands = 5
Total number of targets with ALMA data = 4
--------------------------------
--------------------------------
Summary of 'CO (4-3)' observations at 461.041 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'CO (5-4)' observations at 576.268 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'CO (6-5)' observations at 691.473 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'CO (7-6)' observations at 806.652 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'CO (8-7)' observations at 921.8 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of '13CO (1-0)' observations at 110.201 GHz
--------------------------------
Number of projects = 18
Number of observations = 23
Number of unique subbands = 23
Total number of subbands = 25
Total number of targets with ALMA data = 17
--------------------------------
--------------------------------
Summary of '13CO (2-1)' observations at 220.399 GHz
--------------------------------
Number of projects = 6
Number of observations = 7
Number of unique subbands = 7
Total number of subbands = 7
Total number of targets with ALMA data = 5
--------------------------------
--------------------------------
Summary of '13CO (3-2)' observations at 330.588 GHz
--------------------------------
Number of projects = 2
Number of observations = 5
Number of unique subbands = 5
Total number of subbands = 5
Total number of targets with ALMA data = 4
--------------------------------
--------------------------------
Summary of '13CO (4-3)' observations at 440.765 GHz
--------------------------------
Number of projects = 1
Number of observations = 1
Number of unique subbands = 1
Total number of subbands = 1
Total number of targets with ALMA data = 1
--------------------------------
--------------------------------
Summary of '13CO (5-4)' observations at 550.926 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of '13CO (6-5)' observations at 661.067 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of '13CO (7-6)' observations at 771.184 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of '13CO (8-7)' observations at 881.273 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'C18O (1-0)' observations at 109.782 GHz
--------------------------------
Number of projects = 19
Number of observations = 24
Number of unique subbands = 25
Total number of subbands = 27
Total number of targets with ALMA data = 18
--------------------------------
--------------------------------
Summary of 'C18O (2-1)' observations at 219.56 GHz
--------------------------------
Number of projects = 7
Number of observations = 9
Number of unique subbands = 12
Total number of subbands = 12
Total number of targets with ALMA data = 6
--------------------------------
--------------------------------
Summary of 'C18O (3-2)' observations at 329.331 GHz
--------------------------------
Number of projects = 2
Number of observations = 3
Number of unique subbands = 3
Total number of subbands = 3
Total number of targets with ALMA data = 2
--------------------------------
--------------------------------
Summary of 'C18O (4-3)' observations at 439.089 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'C18O (5-4)' observations at 548.831 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'C18O (6-5)' observations at 658.553 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'C18O (7-6)' observations at 768.252 GHz
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'C18O (8-7)' observations at 877.922 GHz
--------------------------------
No observations found.
--------------------------------

Example 2.5.2: search whether any redshifted CO, 13CO, and C18O lines were observed in the query results

In [27]:
CO_obs = alminer.CO_lines(observations, z=1, print_targets=False)
--------------------------------
Summary of 'CO (1-0)' observations at 115.2712018 GHz (57.636 GHz at z=1)
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'CO (2-1)' observations at 230.538 GHz (115.269 GHz at z=1)
--------------------------------
Number of projects = 4
Number of observations = 5
Number of unique subbands = 4
Total number of subbands = 5
Total number of targets with ALMA data = 3
--------------------------------
--------------------------------
Summary of 'CO (3-2)' observations at 345.7959899 GHz (172.898 GHz at z=1)
--------------------------------
Number of projects = 2
Number of observations = 3
Number of unique subbands = 3
Total number of subbands = 3
Total number of targets with ALMA data = 2
--------------------------------
--------------------------------
Summary of 'CO (4-3)' observations at 461.0407682 GHz (230.52 GHz at z=1)
--------------------------------
Number of projects = 10
Number of observations = 13
Number of unique subbands = 13
Total number of subbands = 13
Total number of targets with ALMA data = 8
--------------------------------
--------------------------------
Summary of 'CO (5-4)' observations at 576.2679305 GHz (288.134 GHz at z=1)
--------------------------------
Number of projects = 3
Number of observations = 6
Number of unique subbands = 6
Total number of subbands = 6
Total number of targets with ALMA data = 3
--------------------------------
--------------------------------
Summary of 'CO (6-5)' observations at 691.4730763 GHz (345.737 GHz at z=1)
--------------------------------
Number of projects = 3
Number of observations = 5
Number of unique subbands = 5
Total number of subbands = 5
Total number of targets with ALMA data = 4
--------------------------------
--------------------------------
Summary of 'CO (7-6)' observations at 806.651806 GHz (403.326 GHz at z=1)
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'CO (8-7)' observations at 921.7997 GHz (460.9 GHz at z=1)
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of '13CO (1-0)' observations at 110.2013218 GHz (55.101 GHz at z=1)
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of '13CO (2-1)' observations at 220.3986195 GHz (110.199 GHz at z=1)
--------------------------------
Number of projects = 18
Number of observations = 23
Number of unique subbands = 23
Total number of subbands = 25
Total number of targets with ALMA data = 17
--------------------------------
--------------------------------
Summary of '13CO (3-2)' observations at 330.5878671 GHz (165.294 GHz at z=1)
--------------------------------
Number of projects = 1
Number of observations = 2
Number of unique subbands = 2
Total number of subbands = 2
Total number of targets with ALMA data = 1
--------------------------------
--------------------------------
Summary of '13CO (4-3)' observations at 440.7651735 GHz (220.383 GHz at z=1)
--------------------------------
Number of projects = 6
Number of observations = 7
Number of unique subbands = 7
Total number of subbands = 7
Total number of targets with ALMA data = 5
--------------------------------
--------------------------------
Summary of '13CO (5-4)' observations at 550.9262851 GHz (275.463 GHz at z=1)
--------------------------------
Number of projects = 3
Number of observations = 4
Number of unique subbands = 4
Total number of subbands = 4
Total number of targets with ALMA data = 3
--------------------------------
--------------------------------
Summary of '13CO (6-5)' observations at 661.0672766 GHz (330.534 GHz at z=1)
--------------------------------
Number of projects = 2
Number of observations = 5
Number of unique subbands = 5
Total number of subbands = 5
Total number of targets with ALMA data = 4
--------------------------------
--------------------------------
Summary of '13CO (7-6)' observations at 771.184125 GHz (385.592 GHz at z=1)
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of '13CO (8-7)' observations at 881.272808 GHz (440.636 GHz at z=1)
--------------------------------
Number of projects = 1
Number of observations = 1
Number of unique subbands = 1
Total number of subbands = 1
Total number of targets with ALMA data = 1
--------------------------------
--------------------------------
Summary of 'C18O (1-0)' observations at 109.7821734 GHz (54.891 GHz at z=1)
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'C18O (2-1)' observations at 219.5603541 GHz (109.78 GHz at z=1)
--------------------------------
Number of projects = 19
Number of observations = 24
Number of unique subbands = 25
Total number of subbands = 27
Total number of targets with ALMA data = 18
--------------------------------
--------------------------------
Summary of 'C18O (3-2)' observations at 329.3305525 GHz (164.665 GHz at z=1)
--------------------------------
Number of projects = 1
Number of observations = 2
Number of unique subbands = 2
Total number of subbands = 2
Total number of targets with ALMA data = 1
--------------------------------
--------------------------------
Summary of 'C18O (4-3)' observations at 439.0887658 GHz (219.544 GHz at z=1)
--------------------------------
Number of projects = 7
Number of observations = 9
Number of unique subbands = 12
Total number of subbands = 12
Total number of targets with ALMA data = 6
--------------------------------
--------------------------------
Summary of 'C18O (5-4)' observations at 548.8310055 GHz (274.416 GHz at z=1)
--------------------------------
Number of projects = 2
Number of observations = 3
Number of unique subbands = 3
Total number of subbands = 3
Total number of targets with ALMA data = 2
--------------------------------
--------------------------------
Summary of 'C18O (6-5)' observations at 658.5532782 GHz (329.277 GHz at z=1)
--------------------------------
Number of projects = 2
Number of observations = 3
Number of unique subbands = 3
Total number of subbands = 3
Total number of targets with ALMA data = 2
--------------------------------
--------------------------------
Summary of 'C18O (7-6)' observations at 768.2515933 GHz (384.126 GHz at z=1)
--------------------------------
No observations found.
--------------------------------
--------------------------------
Summary of 'C18O (8-7)' observations at 877.9219553 GHz (438.961 GHz at z=1)
--------------------------------
No observations found.
--------------------------------

3. Plot results

This section introduces all the plotting functions that help visualise the queried observations:

General notes about the plotting functions:

  • Most of the plotting functions have the option to mark frequencies of CO, 13CO, and C18O lines by toggling mark_CO=True. A redshift can be provided by setting the z parameter that will shift the marked frequencies accordingly.
  • Most of the plotting functions have the option to mark a list of frequencies. A redshift can be provided by setting the z parameter that will shift the marked frequencies accordingly.
  • Plots can be saved in PDF format by setting the savefig parameter to the desired filename. Figures are saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created.
  • To avoid displaying the plot (for example to create and save plots in a loop), set showfig=False.

3.1 Plot an overview of the observations

The alminer.plot_overview function plots a summary of the observed frequencies, angular resolution, largest angular scales (LAS), and frequency and velocity resolutions.

Note: The histogram of observed frequencies displays the distribution of central frequencies and also depends on the choice of binning. To get an overview plot for a specific frequency, use alminer.plot_observations and alminer.plot_line_overview (see examples below).


Details of plot_overview function * Description: Create overview plots of observed frequencies, angular resolution, LAS, frequency and velocity resolutions.

* Command:
* alminer.**plot_overview**(_observations, mark_freq='', z=0., mark_CO=False, showfig=True, savefig=None_)

* Parameters:
* **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
* **mark_freq (list of float64, optional, default: '')** : A list of frequencies to mark on the plot with dashed lines.
* **z (float64, optional, default: 0)** : Redshift by which the frequencies given in 'mark_freq' and 'mark_CO' parameters should be shifted. Currently only one redshift can be given for all targets.
* **mark_CO (bool, optional, default: False)** : mark CO, 13CO, and C18O frequencies on the plot with dashed lines.
* **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
* **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.

***

Example 3.1.1: plot an overview of the observations and save the figure

In [28]:
alminer.plot_overview(observations, savefig='alma_galaxy_chemistry')

3.2 Plot an overview of a given line in the observations

The alminer.plot_line_overview function creates overview plots of observed frequencies, angular resolution, LAS, frequency and velocity resolutions for the input DataFrame, and highlights the observations of a give frequency (redshift if the z parameter is set) specified by the user.


Details of plot_line_overview function * Description: Create overview plots of observed frequencies, angular resolution, LAS, frequency and velocity resolutions, highlighting the observations of a give (redshifted) frequency with hatches on the bar plots.

* Command:
* alminer.**plot_line_overview**(_observations, line_freq, z=0., line_name='', showfig=True, savefig=None_)

* Parameters:
* **observations (pandas.DataFrame)** : This is likely the output of e.g. `conesearch`, `target`, `catalog`, and `keysearch` functions.
* **line_freq (float64)** : Frequency of the line of interest in GHz.
* **z (float64, optional, default: 0)** : Redshift by which the frequency given in 'line_freq' parameter should be shifted.
* **line_name (str, optional, default: '')** : Name of the line specified in 'line_freq'.
* **showfig (bool, optional, default: True)** : Display the plot (*showfig=True*) or not (*showfig=False*).
* **savefig (str, optional, default: None)** : Filename (without an extension) for the plot to be saved as. Default file extension is PDF. Figure is saved in a subdirectory called 'reports' within the current working directory. If the directory doesn't exist, it will be created. Default quality is dpi=300.

***

Example 3.2.1: plot an overview of the observations and highlight observations at a particular frequency

In [29]:
alminer.plot_line_overview(observations, line_freq=100.0)