Keck Observatory Archive (KOA) Python Client - Tutorial: Access to OSIRIS Raw and Quick Look Reduced Data

July 2022 - PyKOA 1.7

PyKOA offers access to public raw science and calibration files acquired with the OSIRIS integral field spectrograph, and quick-look (level 1) reduced files derived from them. The quick-look files are intended for visualization and are not for scientific analysis. See https://koa.ipac.caltech.edu/UserGuide/OSIRIS/reduced_data_os.html for a description of the reduction. For Keck Observatory PIs, PyKOA offers secure access to their protected data with the KOA credentials assigned to them.

Queries can be launched through several dedicated methods, or through the IVOA Astronomical Data Query Langage (ADQL); ADQL queries are underpinned by nexsciTAP, a NExScI Python-based server that implements the IVOA Table Access Protocol (TAP). PyKOA enables a rich variety of searches, including cone, box, polygon, or all-sky spatial searches; temporal searches; searches on program infotmation; and complex searches on multiple attributes.

This Jupyter Notebook provides examples of the methods supported by PyKOA, and examples of how Keck PIs may access their protected data.

Installation

PyKOA can be installed from PyPI:

$ pip install --upgrade pykoa

Requirements

Requires Python 3.6 (or above), plus table read and write functions from Astropy. We have tested with Astropy 4.0.1. We recommend using the Anaconda Python distribution.

Overview of this Tutorial

PyKOA supports methods for discovering and downloading public and private data archived at KOA. It writes the output metadata data to an output file, in IPAC ASCII, VOTable, CSV or TSV data formats.

This Tutorial illustrates methods for discovering and accessing public and private raw science and calibration files for HIRES:

• Query by date or date range (with examples for each file format).
• Query by position (cone, box, polygon searches)
• Query by object.
• Query by program information.
• Query by combinations of the above methods.

• General, complex metadata queries using the IVOA Astronomical Data Query Langage (ADQL).

• Download raw science and associated calibration files, level 1 files or a subset of data, corresponding to a collection of metadata.

• Queries for protected data (available to Keck PIs only).

The number of records returned by each query may differ from the number returned in this Notebook because new data are made public daily.

Set up

import sys
import io
import os
from pykoa.koa import Koa 
from astropy.table import Table,Column

---

View the help file

help(Koa)

Help on Archive in module pykoa.koa.core object:

class Archive(builtins.object)
 |  Archive(**kwargs)
 |  
 |  The 'Archive' class provides functions for accessing data stored in the 
 |  Keck Observatory Archive (KOA). Queries are performed via the nexsciTAP
 |  server.
 |  
 |  Keck PIs can use the KOA credentials assigned to them when data were 
 |  acquired (given at login) to search for their proprietary data.
 |  
 |  Example:
 |  --------
 |  
 |  import os
 |  import sys 
 |  
 |  from pykoa.koa import Koa 
 |  
 |  Koa.query_datetime ('hires',         '2018-03-16 00:00:00/2018-03-18 00:00:00',         outpath= './meta.xml',         format='ipac')
 |  
 |  Methods defined here:
 |  
 |  __init__(self, **kwargs)
 |      'init' method initializes the class with optional debugfile flag.
 |      
 |      Optional inputs:
 |      ----------------
 |      debugfile: a file path for the debug output
 |  
 |  download(self, metapath, format, outdir, **kwargs)
 |      'download' method allows download of FITS files shown in the 
 |      metadata file. The same method has the option of download the
 |      associated calibration files and level 1 files. 
 |      
 |      *** Requirement: 
 |          
 |          To download FITS files, the following two columns: 
 |          instrume and filehand must be included in the metadata file.
 |      
 |          To download associated calibrated files, the following three 
 |          columns: instrume, koaid, and filehand must be included in the 
 |          metadata file.
 |      
 |      
 |      Required input:
 |      -----
 |      metapath (string): a full path metadata table obtained from running
 |                query methods    
 |      
 |      format (string):   metadata table's format: ipac, votable, csv, or tsv.
 |      
 |      outdir (string):   the directory for depositing the returned files      
 |      
 |      At least one of the following three optional parameters:
 |      lev1file, lev1file, and calibfile should be set to 1.:
 |      
 |      
 |      Optional input:
 |      ----------------
 |      cookiepath (string): cookie file path for downloading the proprietary 
 |                           KOA data;
 |      
 |      start_row (integer): default is start_row = 0;
 |      
 |      end_row (integer): default is end_row = nrows - 1 where nrows is the 
 |                         number of rows in the metadata file;
 |      
 |      lev0file (integer): 1/0; 
 |          1: download level0 files (i.e. raw data) in 'lev0' directory;
 |          0: do not download level0 files.
 |          default is 1.
 |      
 |      calibfile (integer): 1/0;
 |          1: download calibration files;
 |          0: do not download calibration files.
 |          default is 0.
 |      
 |      lev1file (integer): 1/0;
 |          1: download level1 files in 'lev1' directory;
 |          0: do not download level1 files.
 |          default is 0.
 |      
 |      calibdir (integer): 1/0; 
 |          1: put calibration files in their own directory named 'calib'; 
 |          0: put the calibration files in the 'lev0' directory with other 
 |              raw, science files.
 |          default is 1.
 |  
 |  login(self, cookiepath, **kwargs)
 |      'login' method validates a user has a valid KOA account; it takes two
 |      'keyword' arguments: userid and password. If the inputs are not 
 |      provided in the keyword, the login method prompts for inputs.
 |      
 |      Required input:
 |      ---------------     
 |      cookiepath (string): a file path provided by the user to save 
 |               returned cookie (in login method) or to serve
 |               as input parameter for the subsequent koa 
 |               query and download methods.
 |      
 |      Keyword input:
 |      ---------------     
 |      userid     (string): a valid user id assigned by KOA;
 |      
 |      password   (string): a valid password in the KOA's user table; 
 |      
 |      
 |      Calling synopsis: 
 |      
 |      koa.login (cookiepath, userid='xxxx', password='xxxxxx'), or
 |      
 |      koa.login (cookiepath): and the program will prompt for 
 |                               userid and password
 |  
 |  print_data(self)
 |  
 |  query_adql(self, query, outpath, **kwargs)
 |      'query_adql' method receives a qualified ADQL query string from
 |      the user input.
 |      
 |      Required Inputs:
 |      ---------------    
 |          query (string):  an ADQL query
 |      
 |          outpath (string): the output filename of the returned metadata table
 |      
 |      Optional inputs:
 |      ----------------
 |          cookiepath (string): cookie file path for query the proprietary 
 |                               KOA data.
 |      
 |          format (string):  output format: votable, ipac, csv, or tsv 
 |                   (default: ipac)
 |      
 |          maxrec (integer):  maximum records to be returned 
 |               default: -1 or not specified will return all requested records
 |  
 |  query_criteria(self, param, outpath, **kwargs)
 |      'query_criteria' method allows searches of KOA by multiple
 |      parameters specified in a python dictionary (param).
 |      
 |      param: a dictionary containing a list of acceptable parameters:
 |      
 |          instrument (required): HIRES
 |      
 |          datetime (string): a datetime range string in the format of 
 |              datetime1/datetime2, '/' being the separator between first
 |              and second datetime valaues where datetime format is 
 |              'yyyy-mm-dd hh:mm:ss'
 |          
 |          date (string): a date range string in the format of 
 |              date1/date2, '/' being the separator between first
 |              and second date valaues where date format is 'yyyy-mm-dd'
 |          
 |          pos (string): a position string in the format of 
 |      
 |              1.  circle ra dec radius;
 |      
 |              2.  polygon ra1 dec1 ra2 dec2 ra3 dec3 ra4 dec4;
 |      
 |              3.  box ra dec width height;
 |      
 |              all RA Dec in decimal degree J2000 coordinate.
 |           
 |          target (string): target name used in the project, this will be 
 |              searched against the database -- not SIMBAD or NED.
 |      
 |      outpath (string): file path for the returned metadata table 
 |      
 |      Optional parameters:
 |      --------------------
 |      cookiepath (string): cookie file path obtained via login method, only
 |                           required for querying the proprietary KOA data.
 |      
 |      format (string): output table format -- votable, ipac, csv, or tsv;
 |          default: ipac
 |          
 |      maxrec (integer):  maximum records to be returned 
 |               default: -1 or not specified will return all requested records
 |  
 |  query_date(self, instrument, date, outpath, **kwargs)
 |      'query_date' method searches KOA by 'date_obs' range
 |      
 |      Required Inputs:
 |      ---------------    
 |      instrument (string): HIRES
 |      
 |      date (string): a date_obs string in the format of 
 |          date1/date2 where '/' separates the two date values` 
 |          of format 'yyyy-mm-dd'
 |      
 |          the following inputs are acceptable:
 |      
 |          date1/: will search data with date later than (>=) 
 |                      date1
 |          
 |          /date2: will search data with date earlier than (<=)
 |                      date2
 |      
 |          date1: will search data with date equal to (=) date1
 |      
 |      outpath (string): a full output filepath of the returned metadata 
 |          table
 |      
 |      e.g. 
 |          instrument = 'hires',
 |          date = '2018-03-16/2018-03-18' 
 |      
 |      e.g. 
 |          instrument = 'hires',
 |          date = '2018-03-16/' 
 |      
 |      e.g. 
 |          instrument = 'hires',
 |          date = '/2018-03-18' 
 |      
 |      e.g. 
 |          instrument = 'hires',
 |          date = '2018-03-16' 
 |      
 |      Optional inputs:
 |      ----------------
 |      cookiepath (string): cookie file path for querying the proprietary 
 |                           KOA data
 |      
 |      format (string):  Output format: votable, ipac, csv, or tsv 
 |                        (default: ipac)
 |      
 |      maxrec (integer):  maximum records to be returned 
 |               default: -1 or not specified will return all requested records
 |  
 |  query_datetime(self, instrument, datetime, outpath, **kwargs)
 |      'query_datetime' method searches KOA by 'datetime' range
 |      
 |      Required Inputs:
 |      ---------------    
 |      instrument (string): HIRES
 |      
 |      datetime (string): a datetime string in the format of 
 |          datetime1/datetime2 where '/' separates the two datetime values
 |          of format 'yyyy-mm-dd hh:mm:ss'
 |      
 |          the following inputs are acceptable:
 |      
 |          datetime1/: will search data with datetime later than (>=) 
 |                      datetime1
 |          
 |          /datetime2: will search data with datetime earlier than (<=)
 |                      datetime2
 |      
 |          datetime1: will search data with datetime equal to (=) datetime1
 |      
 |      outpath (string): a full output filepath of the returned metadata 
 |          table
 |      
 |      e.g. 
 |          instrument = 'hires',
 |          datetime = '2018-03-16 06:10:55/2018-03-18 00:00:00' 
 |      
 |      e.g. 
 |          instrument = 'hires',
 |          datetime = '2018-03-16 06:10:55/' 
 |      
 |      e.g. 
 |          instrument = 'hires',
 |          datetime = '/2018-03-18 00:00:00' 
 |      
 |      e.g. 
 |          instrument = 'hires',
 |          datetime = '2018-03-16 06:10:55' 
 |      
 |      Optional inputs:
 |      ----------------
 |      cookiepath (string): cookie file path for query the proprietary 
 |                           KOA data
 |      
 |      format (string):  Output format: votable, ipac, csv, or tsv 
 |                        (default: ipac)
 |      
 |      maxrec (integer):  maximum records to be returned 
 |               default: -1 or not specified will return all requested records
 |  
 |  query_object(self, instrument, object, outpath, **kwargs)
 |      'query_object' method searches KOA by 'object name' 
 |      
 |      Required Inputs:
 |      ---------------    
 |      
 |      instrument: HIRES
 |      
 |      object (string): an object name resolvable by SIMBAD, NED, and
 |          ExoPlanet's name_resolve; 
 |      
 |      This method resolves the object name into coordiates to be used as the
 |      center of the circle position search with default radius of 0.5 deg.
 |      
 |      e.g. 
 |          instrument = 'hires',
 |          object = 'WD 1145+017'
 |      
 |      Optional Input:
 |      ---------------    
 |      cookiepath (string): cookie file path for query the proprietary 
 |                           KOA data.
 |      
 |      format (string):  Output format: votable, ipac, csv, tsv (default: ipac)
 |      
 |      radius (float): search radius in deg (default = 0.5 deg)
 |      
 |      maxrec (integer):  maximum records to be returned 
 |               default: -1 or not specified will return all requested records
 |  
 |  query_position(self, instrument, pos, outpath, **kwargs)
 |      'query_position' method searches KOA by 'position' 
 |      
 |      Required Inputs:
 |      ---------------    
 |      
 |      instrument (string): HIRES
 |      
 |      pos (string): a position string in the format of 
 |      
 |      1.  circle ra dec radius;
 |      
 |      2.  polygon ra1 dec1 ra2 dec2 ra3 dec3 ra4 dec4;
 |      
 |      3.  box ra dec width height;
 |      
 |      All RA Dec in decimal degree J2000 coordinate.
 |           
 |      e.g. 
 |          instrument = 'hires',
 |          pos = 'circle 230.0 45.0 0.5'
 |      
 |      outpath (string): a full filepath for the returned metadata table
 |      
 |      Optional Input:
 |      ---------------    
 |      cookiepath (string): cookie file path for querying the proprietary 
 |                           KOA data.
 |      
 |      format (string): votable, ipac, csv, tsv  (default: ipac)
 |      
 |      maxrec (integer):  maximum records to be returned 
 |               default: -1 or not specified will return all requested records
 |  
 |  ----------------------------------------------------------------------
 |  Data descriptors defined here:
 |  
 |  __dict__
 |      dictionary for instance variables (if defined)
 |  
 |  __weakref__
 |      list of weak references to the object (if defined)
 |  
 |  ----------------------------------------------------------------------
 |  Data and other attributes defined here:
 |  
 |  astropytbl = None
 |  
 |  content_type = ''
 |  
 |  debug = 0
 |  
 |  debugfname = './koa.debug'
 |  
 |  format = 'ipac'
 |  
 |  maxrec = -1
 |  
 |  msg = ''
 |  
 |  ncaliblist = 0
 |  
 |  ndnloaded = 0
 |  
 |  ndnloaded_calib = 0
 |  
 |  ndnloaded_lev1 = 0
 |  
 |  nlev1list = 0
 |  
 |  outdir = ''
 |  
 |  outpath = ''
 |  
 |  parampath = ''
 |  
 |  propflag = 1
 |  
 |  query = ''
 |  
 |  status = ''
 |  
 |  tap = None

Create output directory

try:
    os.mkdir('./outputOS')
except:
    print(" Directory exists already", flush=True)

---

Anonymous access

Query by date; output in IPAC ASCII format (default)

Koa.query_date ('osiris', \
    '2019-05-29', \
    './outputOS/OSIRIS_date.tbl', overwrite=True, format='ipac' )

rec = Table.read ('./outputOS/OSIRIS_date.tbl',format='ipac')
print (rec)

submitting request...
Result downloaded to file [./outputOS/OSIRIS_date.tbl]
        koaid          instrume   targname   ...  filter instr scale
                                             ...                    
---------------------- -------- ------------ ... ------- ----- -----
OS.20190529.02699.fits   OSIRIS horizon lock ...     Kn3  spec  0.02
OS.20190529.02800.fits   OSIRIS horizon lock ...     Kn3  spec  0.02
OI.20190529.03140.fits   OSIRIS           -- ... BrGamma  imag  0.02
OI.20190529.03275.fits   OSIRIS           -- ... BrGamma  imag  0.02
OS.20190529.03883.fits   OSIRIS      unknown ...     Kn3  spec  0.02
OS.20190529.03951.fits   OSIRIS      unknown ...     Kn3  spec  0.02
OS.20190529.04055.fits   OSIRIS      unknown ...     Kn3  spec  0.02
OS.20190529.04118.fits   OSIRIS      unknown ...     Kn3  spec  0.02
OS.20190529.04427.fits   OSIRIS      unknown ...     Kn3  spec  0.02
OS.20190529.04531.fits   OSIRIS      unknown ...     Kn3  spec  0.02
                   ...      ...          ... ...     ...   ...   ...
OI.20190529.53145.fits   OSIRIS     Sky Flat ... Kp-sAnn  imag  0.02
OI.20190529.53217.fits   OSIRIS     Sky Flat ... Kp-sAnn  imag  0.02
OI.20190529.53302.fits   OSIRIS     Sky Flat ... Kp-sAnn  imag  0.02
OI.20190529.53373.fits   OSIRIS     Sky Flat ... Kp-sAnn  imag  0.02
OI.20190529.53458.fits   OSIRIS     Sky Flat ... Kp-sAnn  imag  0.02
OI.20190529.53529.fits   OSIRIS     Sky Flat ... Kp-sAnn  imag  0.02
OI.20190529.53613.fits   OSIRIS     Sky Flat ... Kp-sAnn  imag  0.02
OI.20190529.53685.fits   OSIRIS     Sky Flat ... Kp-sAnn  imag  0.02
OI.20190529.53770.fits   OSIRIS     Sky Flat ... Kp-sAnn  imag  0.02
OI.20190529.53850.fits   OSIRIS     Sky Flat ... Kp-sAnn  imag  0.02
Length = 229 rows

Query by date range

Query by date range; output in IPAC ASCII format (default)

Koa.query_datetime ('osiris', \
    '2019-05-29 00:00:00/2019-05-31 23:59:59', \
    './outputOS/OSIRIS_datetime.tbl', overwrite=True, format='ipac')

rec = Table.read ('./outputOS/OSIRIS_datetime.tbl',format='ipac')
print (rec)

submitting request...
Result downloaded to file [./outputOS/OSIRIS_datetime.tbl]
        koaid          instrume   targname    object  ...  filter instr scale
                                                      ...                    
---------------------- -------- ------------ -------- ... ------- ----- -----
OS.20190529.02699.fits   OSIRIS horizon lock   <none> ...     Kn3  spec  0.02
OS.20190529.02800.fits   OSIRIS horizon lock   <none> ...     Kn3  spec  0.02
OI.20190529.03140.fits   OSIRIS           --   <none> ... BrGamma  imag  0.02
OI.20190529.03275.fits   OSIRIS           --   <none> ... BrGamma  imag  0.02
OS.20190529.03883.fits   OSIRIS      unknown   <none> ...     Kn3  spec  0.02
OS.20190529.03951.fits   OSIRIS      unknown   <none> ...     Kn3  spec  0.02
OS.20190529.04055.fits   OSIRIS      unknown   <none> ...     Kn3  spec  0.02
OS.20190529.04118.fits   OSIRIS      unknown   <none> ...     Kn3  spec  0.02
OS.20190529.04427.fits   OSIRIS      unknown   <none> ...     Kn3  spec  0.02
OS.20190529.04531.fits   OSIRIS      unknown   <none> ...     Kn3  spec  0.02
                   ...      ...          ...      ... ...     ...   ...   ...
OI.20190531.51610.fits   OSIRIS        tt288 KB190842 ...      Kp  imag  0.02
OI.20190531.51700.fits   OSIRIS        tt288 KB190842 ...      Kp  imag  0.02
OI.20190531.51772.fits   OSIRIS        tt288 KB190842 ...      Kp  imag  0.02
OI.20190531.51842.fits   OSIRIS        tt288 KB190842 ...      Kp  imag  0.02
OI.20190531.52132.fits   OSIRIS        tt205 OB161067 ...      Kp  imag  0.02
OI.20190531.52204.fits   OSIRIS        tt205 OB161067 ...      Kp  imag  0.02
OI.20190531.52276.fits   OSIRIS        tt205 OB161067 ...      Kp  imag  0.02
OI.20190531.52361.fits   OSIRIS        tt205 OB161067 ...      Kp  imag  0.02
OI.20190531.52434.fits   OSIRIS        tt205 OB161067 ...      Kp  imag  0.02
OI.20190531.52514.fits   OSIRIS        tt205 OB161067 ...      Kp  imag  0.02
Length = 770 rows

You can also request the output in VOTable, CSV and TSV formats:

Koa.query_datetime ('osiris', \
    '2019-05-29 00:00:00/2019-05-31 23:59:59', \
    './outputOS/osiris_datetime.vot', overwrite=True, format='votable')

submitting request...
Result downloaded to file [./outputOS/osiris_datetime.vot]

Koa.query_datetime ('osiris', \
    '2019-05-29 00:00:00/2019-05-31 23:59:59', \
    './outputOS/osiris_datetime.csv', overwrite=True, format='csv' )

submitting request...
Result downloaded to file [./outputOS/osiris_datetime.csv]

Koa.query_datetime ('osiris', \
    '2019-05-29 00:00:00/2019-05-31 23:59:59', \
    './outputOS/osiris_datetime.tsv', overwrite=True, format='tsv' )

submitting request...
Result downloaded to file [./outputOS/osiris_datetime.tsv]

Query by position - cone search

Koa.query_position ('osiris', \
                  'circle 270.4 -27.2 1.0', \
                  './outputOS/position_search.tbl', overwrite=True)

rec = Table.read ('./outputOS/position_search.tbl', format='ascii.ipac')
print (rec)

submitting request...
Result downloaded to file [./outputOS/position_search.tbl]
        koaid          instrume targname  object  ... coadds filter instr scale
                                                  ...                          
---------------------- -------- -------- -------- ... ------ ------ ----- -----
OS.20160813.24913.fits   OSIRIS  SGR2016 v5668Str ...      1    Kbb  spec  0.05
OS.20160813.24983.fits   OSIRIS  SGR2016 v5668Str ...      1    Kbb  spec  0.05
OS.20160813.25147.fits   OSIRIS  SGR2016 v5668Str ...      1    Hbb  spec  0.05
OS.20160813.25218.fits   OSIRIS  SGR2016 v5668Str ...      1    Hbb  spec  0.05
OS.20160813.25335.fits   OSIRIS  SGR2016 v5668Str ...      1    Jbb  spec  0.05
OS.20160813.25407.fits   OSIRIS  SGR2016 v5668Str ...      1    Jbb  spec  0.05
OI.20190421.48934.fits   OSIRIS    tt038 OB190017 ...      1     Kp  imag  0.02
OI.20190421.49094.fits   OSIRIS    tt038 OB190017 ...      1     Kp  imag  0.02
OI.20190421.49287.fits   OSIRIS    tt038 OB190017 ...      2     Kp  imag  0.02
OI.20190421.49344.fits   OSIRIS    tt038 OB190017 ...      2     Kp  imag  0.02
                   ...      ...      ...      ... ...    ...    ...   ...   ...
OI.20200903.22578.fits   OSIRIS    tt053 OB190017 ...      1     Kp  imag  0.02
OI.20200903.22630.fits   OSIRIS    tt053 OB190017 ...      1     Kp  imag  0.02
OI.20200903.22701.fits   OSIRIS    tt053 OB190017 ...      1     Kp  imag  0.02
OI.20200903.22753.fits   OSIRIS    tt053 OB190017 ...      1     Kp  imag  0.02
OI.20200903.22804.fits   OSIRIS    tt053 OB190017 ...      1     Kp  imag  0.02
OI.20200903.22864.fits   OSIRIS    tt053 OB190017 ...      1     Kp  imag  0.02
OI.20200903.22916.fits   OSIRIS    tt053 OB190017 ...      1     Kp  imag  0.02
OI.20200903.22986.fits   OSIRIS    tt053 OB190017 ...      1     Kp  imag  0.02
OI.20200903.23037.fits   OSIRIS    tt053 OB190017 ...      1     Kp  imag  0.02
OI.20200903.23090.fits   OSIRIS    tt053 OB190017 ...      1     Kp  imag  0.02
Length = 291 rows

Query by position - box search

query =  "select koaid from koa_osiris where \
           (contains(point('J2000',ra ,dec), box('J2000', 270 , 14.3, 2, 2))=1) "

Koa.query_adql (query, './outputOS/adql_radec.tbl',overwrite=True, \
    format='ipac')

    
rec = Table.read ('./outputOS/adql_radec.tbl', format='ascii.ipac')
print (rec)

submitting request...
Result downloaded to file [./outputOS/adql_radec.tbl]
        koaid         
----------------------
OI.20190529.38043.fits
OI.20190529.38089.fits
OI.20190529.38286.fits
OI.20190529.38381.fits
OI.20190529.38444.fits
OI.20190529.38523.fits
OI.20190529.38583.fits
OI.20190529.38632.fits
OI.20190529.38667.fits
OI.20190529.38778.fits
                   ...
OS.20190527.37733.fits
OS.20200712.30281.fits
OS.20200712.30317.fits
OS.20200712.30391.fits
OS.20200712.30424.fits
OS.20200810.19189.fits
OS.20200810.19288.fits
OS.20200810.20110.fits
OS.20200811.19032.fits
OS.20200811.19148.fits
OS.20200811.19970.fits
Length = 64 rows

Query by position - polygon search

query = "select koaid, filehand, ra, dec from koa_osiris\
        where contains(point('icrs', ra, dec), \
        polygon('icrs',209.80225,53.34894,209.80225,55.34894,211.80225,54.34894)) = 1"

Koa.query_adql(query, './outputOS/polygon_os.tbl', overwrite=True, format='ipac')

rec = Table.read ('./outputOS/polygon_os.tbl', format='ascii.ipac')
print (rec)

submitting request...
Result downloaded to file [./outputOS/polygon_os.tbl]
        koaid          ...   dec   
---------------------- ... --------
OS.20160416.49503.fits ... 54.41594
OS.20160416.49605.fits ... 54.41594
OS.20160416.49631.fits ... 54.41594
OS.20160416.49658.fits ... 54.41594
OS.20160416.49683.fits ... 54.41594
OS.20160416.49709.fits ... 54.41594
OS.20160416.49744.fits ... 54.41594
OS.20160416.49769.fits ... 54.41594
OS.20160416.49796.fits ... 54.41594
OS.20160416.49826.fits ... 54.41594
                   ... ...      ...
OS.20170509.43779.fits ... 54.23825
OS.20170509.43806.fits ... 54.23825
OS.20170509.43836.fits ... 54.23825
OS.20170509.43864.fits ... 54.23825
OS.20170509.43890.fits ... 54.23784
OS.20170509.43920.fits ... 54.23784
OS.20170509.43948.fits ... 54.23825
OS.20170509.43974.fits ... 54.23825
OS.20170509.44001.fits ... 54.23825
OS.20170509.44027.fits ... 54.23825
OS.20170509.44083.fits ... 54.23825
Length = 215 rows

Query by resolvable object name

Koa.query_object ('osiris', \
                  '3C273', './outputOS/3C273.tbl', overwrite=True, format='ipac')

rec = Table.read ('./outputOS/3C273.tbl', format='ascii.ipac')
print (rec)

object name resolved: ra= 187.27791594, dec=2.05238823
submitting request...
Result downloaded to file [./outputOS/3C273.tbl]
        koaid          instrume targname object ... coadds filter instr scale
                                                ...                          
---------------------- -------- -------- ------ ... ------ ------ ----- -----
OS.20160321.36849.fits   OSIRIS   3C 273 <none> ...      1    Hn3  spec   0.1
OS.20160321.36913.fits   OSIRIS   3C 273 <none> ...      1    Hn3  spec   0.1
OS.20160321.38283.fits   OSIRIS   3C 273     -- ...      1    Hn3  spec   0.1
OS.20160321.38907.fits   OSIRIS   3C 273 <none> ...      1    Hn3  spec   0.1
OS.20160321.39420.fits   OSIRIS   3C 273 <none> ...      1    Hn3  spec   0.1
OS.20160321.40046.fits   OSIRIS   3C 273 <none> ...      1    Hn3  spec   0.1

Query for program information

query ="select koaid, filehand, progid from koa_osiris where (progid = 'N021') " 

Koa.query_adql (query, \
    './outputOS/program_info.tbl', overwrite=True, format='ipac')

rec = Table.read('./outputOS/program_info.tbl', format='ascii.ipac')
print (rec)

submitting request...
Result downloaded to file [./outputOS/program_info.tbl]
        koaid          ... progid
---------------------- ... ------
OI.20190529.09103.fits ...   N021
OI.20190529.09810.fits ...   N021
OI.20190529.10083.fits ...   N021
OI.20190529.10304.fits ...   N021
OI.20190529.10373.fits ...   N021
OI.20190529.10484.fits ...   N021
OI.20190529.10526.fits ...   N021
OI.20190529.10568.fits ...   N021
OI.20190529.10609.fits ...   N021
OI.20190529.10650.fits ...   N021
                   ... ...    ...
OI.20190531.51540.fits ...   N021
OI.20190531.51610.fits ...   N021
OI.20190531.51700.fits ...   N021
OI.20190531.51772.fits ...   N021
OI.20190531.51842.fits ...   N021
OI.20190531.52132.fits ...   N021
OI.20190531.52204.fits ...   N021
OI.20190531.52276.fits ...   N021
OI.20190531.52361.fits ...   N021
OI.20190531.52434.fits ...   N021
OI.20190531.52514.fits ...   N021
Length = 549 rows

Queries by combination of the above methods

Query by instrument, date, and position

param = dict()
param['instrument'] = 'osiris'
param['datetime'] = '2016-08-13 00:00:00/2016-08-13 23:59:59'
param['pos'] = 'circle 270.4 -27.2 1.0'

Koa.query_criteria (param, \
                  './outputOS/parameters.tbl', overwrite=True)

rec = Table.read('./outputOS/parameters.tbl', format='ipac')
print (rec)

submitting request...
Result downloaded to file [./outputOS/parameters.tbl]
        koaid          instrume targname  object  ... coadds filter instr scale
                                                  ...                          
---------------------- -------- -------- -------- ... ------ ------ ----- -----
OS.20160813.24913.fits   OSIRIS  SGR2016 v5668Str ...      1    Kbb  spec  0.05
OS.20160813.24983.fits   OSIRIS  SGR2016 v5668Str ...      1    Kbb  spec  0.05
OS.20160813.25147.fits   OSIRIS  SGR2016 v5668Str ...      1    Hbb  spec  0.05
OS.20160813.25218.fits   OSIRIS  SGR2016 v5668Str ...      1    Hbb  spec  0.05
OS.20160813.25335.fits   OSIRIS  SGR2016 v5668Str ...      1    Jbb  spec  0.05
OS.20160813.25407.fits   OSIRIS  SGR2016 v5668Str ...      1    Jbb  spec  0.05

General Metadata Queries With the Astronomical Data Query Langage (ADQL) Method.

A query made with the ADQL method enables you to make general and complex queries against the archive. If you wish to download data discovered via the ADQL query made against KOA, you must include explicitly include the koaid, instrument, and filehandle in the query.

---

Spatial cone search query with column selection; order by UT Time.

query =  "select koaid, object, koaimtyp, frameno, airmass, ra dec,  \
            to_char(date_obs,'YYYY-MM-DD') as date_obs, ha, az, gain, imagmode, \
            filter,elaptime, \
            progid, proginst,  progpi, progtitl, semester, ofname, filehand \
            from koa_osiris \
            where (contains(point('J2000',ra ,dec), circle('J2000', 23.48 ,30.60, 2))=1) \
            order by utdatetime"


Koa.query_adql(query,'./outputOS/adql_cone.tbl', overwrite=True, format='ipac')

rec = Table.read ('./outputOS/adql_cone.tbl', format='ascii.ipac')
print (rec)

submitting request...
Result downloaded to file [./outputOS/adql_cone.tbl]
        koaid          ...
                       ...
---------------------- ...
OS.20111003.26297.fits ...
OS.20111003.26363.fits ...
OS.20111003.26769.fits ...
OS.20161105.26394.fits ...
OS.20161105.26477.fits ...
OS.20161105.26558.fits ...
OS.20171102.28489.fits ...
OS.20171102.28587.fits ...
OS.20171102.29827.fits ...
OS.20171102.29922.fits ...
                   ... ...
OS.20191107.21784.fits ...
OS.20200902.45082.fits ...
OS.20200902.45110.fits ...
OS.20200902.45133.fits ...
OS.20200902.45154.fits ...
OS.20200902.45180.fits ...
OS.20200902.45203.fits ...
OS.20200902.45226.fits ...
OS.20200902.45252.fits ...
OS.20200902.45276.fits ...
Length = 86 rows

Select top 10 records in a spatial box search with column selection; order results in descending UT time.

query =  "select top 10 koaid, ra ,dec, utdatetime from koa_osiris \
           where (contains(point('J2000',ra ,dec),  \
           box('J2000', 270 , 14.3, 2, 2))) =1) order by utdatetime desc "
Koa.query_adql (query, \
    './outputOS/adql_radec.tbl',overwrite=True, \
    format='ipac')

rec = Table.read ('./outputOS/adql_radec.tbl', format='ascii.ipac')
print (rec)

submitting request...
Result downloaded to file [./outputOS/adql_radec.tbl]
        koaid              ra      dec           utdatetime        
---------------------- --------- ------- --------------------------
OS.20170813.21294.fits 269.91293 14.3221 2017-08-13 05:54:54.430000
OS.20170813.21261.fits 269.91281 14.3221 2017-08-13 05:54:21.080000
OS.20170813.19982.fits 269.91293 14.3221 2017-08-13 05:33:02.050000
OS.20170813.19944.fits 269.91281 14.3221 2017-08-13 05:32:24.600000
OS.20170813.19416.fits 269.91293 14.3221 2017-08-13 05:23:36.610000
OS.20170813.19383.fits 269.91281 14.3221 2017-08-13 05:23:03.610000
OS.20170813.19208.fits 269.91281 14.3221 2017-08-13 05:20:08.510000
OS.20170812.20259.fits 269.91293 14.3221 2017-08-12 05:37:39.690000
OS.20170812.19339.fits 269.91293 14.3221 2017-08-12 05:22:19.090000
OS.20170812.19285.fits 269.91281 14.3221 2017-08-12 05:21:25.540000

Count records returned in a box search

query =  "select count(koaid) from koa_osiris \
    where (contains(point('J2000',ra,dec), box('J2000', 270 , 14.3, 2, 2)))=1) "

Koa.query_adql (query, \
    './outputOS/adql_count.tbl',overwrite=True, \
    format='ipac')

rec = Table.read ('./outputOS/adql_count.tbl', format='ascii.ipac')
print (rec)

submitting request...
Result downloaded to file [./outputOS/adql_count.tbl]
count(koaid)
------------
          64

Download Data

Download a subset of results from the "query by multiple parameters: instrument, date, and position" example above

Koa.download ('./outputOS/parameters.tbl', \
               'ipac', \
               './dnload_dir1', \
                start_row=1, \
                end_row=3)

Start downloading 3 koaid data you requested;
please check your outdir: ./dnload_dir1 for  progress ....

A total of 3 new lev0 FITS files downloaded.

Download the full data set from the "query by multiple parameters: instrument, date, and position" example above

The three files already download to this directory in the previous example will be skipped and won't be overwritten.

Koa.download ('./outputOS/parameters.tbl', \
               'ipac', \
               './dnload_dir1')                   

Start downloading 6 koaid data you requested;
please check your outdir: ./dnload_dir1 for  progress ....

A total of 3 new lev0 FITS files downloaded.

Download Level 1 files and Calibration Files

PyKOA does not support queries for level 1 data. Instead, level 1 data may be downloaded by adding the "lev1file=1" in the download method.

In this example, we download the data referenced in the metadata table returned by this query to recover data on UT Date 20191009:

Koa.query_date ('osiris', '2019-10-09', \
    './outputOS/OSIRIS_date1009.tbl', overwrite=True, format='ipac' )

rec = Table.read ('./outputOS/OSIRIS_date1009.tbl',format='ipac')
print (rec)

submitting request...
Result downloaded to file [./outputOS/OSIRIS_date1009.tbl]
        koaid          instrume targname  object ... coadds filter instr scale
                                                 ...                          
---------------------- -------- -------- ------- ... ------ ------ ----- -----
OS.20191009.09500.fits   OSIRIS  unknown HD21875 ...      1    Drk  spec 0.035
OS.20191009.09527.fits   OSIRIS  unknown HD21875 ...      1    Drk  spec 0.035
OS.20191009.09555.fits   OSIRIS  unknown HD21875 ...      1    Drk  spec 0.035
OS.20191009.09582.fits   OSIRIS  unknown HD21875 ...      1    Drk  spec 0.035
OS.20191009.09608.fits   OSIRIS  unknown HD21875 ...      1    Drk  spec 0.035
OS.20191009.09635.fits   OSIRIS  unknown HD21875 ...      1    Drk  spec 0.035
OS.20191009.09684.fits   OSIRIS  unknown HD21875 ...      1    Drk  spec 0.035
OS.20191009.09730.fits   OSIRIS  unknown HD21875 ...      1    Drk  spec 0.035
OS.20191009.09778.fits   OSIRIS  unknown HD21875 ...      1    Drk  spec 0.035
OS.20191009.09825.fits   OSIRIS  unknown HD21875 ...      1    Drk  spec 0.035
                   ...      ...      ...     ... ...    ...    ...   ...   ...
OI.20191009.54475.fits   OSIRIS    tt015  <none> ...      1     Kp  imag  0.02
OS.20191009.54745.fits   OSIRIS    tt015  <none> ...      1    Kn3  spec  0.05
OI.20191009.54750.fits   OSIRIS    tt015  <none> ...      1     Kp  imag  0.02
OI.20191009.54897.fits   OSIRIS    tt015  <none> ...      1     Kp  imag  0.02
OI.20191009.55035.fits   OSIRIS    tt015  <none> ...      1     Kp  imag  0.02
OI.20191009.55173.fits   OSIRIS    tt015  <none> ...      1     Kp  imag  0.02
OI.20191009.55310.fits   OSIRIS    tt015  <none> ...      1     Kp  imag  0.02
OI.20191009.55448.fits   OSIRIS    tt015  <none> ...      1     Kp  imag  0.02
OS.20191009.55889.fits   OSIRIS hd 27016  <none> ...      1    Kn3  spec  0.05
OS.20191009.55933.fits   OSIRIS hd 27016  <none> ...      1    Kn3  spec  0.05
Length = 66 rows

Including the parameter "lev1file=1" in the download request below returns the raw data and level 1 data corresponding rows 35 to 38 of the metadata table returned in the above query. The data are written in the directory 'dnload_dir_osiris_calib1'

Koa.download ('./outputOS/OSIRIS_date1009.tbl', \
    'ipac', \
    'dnload_dir_osiris_calib1', \
    start_row=35, \
    end_row=38, \
    lev1file=1 )  
    

Start downloading 4 koaid data you requested;
please check your outdir: dnload_dir_osiris_calib1 for  progress ....
No level 1 data found for koaid: [OI.20191009.51811.fits]
No level 1 data found for koaid: [OI.20191009.51956.fits]

A total of 4 new lev0 FITS files downloaded.
4 new lev1 list downloaded.
8 new lev1 files downloaded.

Calibration files may be downloaded by adding the keyword "calibfile" to the download request.

The value of calibdir specifies the directory to which the calibration files are downloaded. In the example below, calibdir=1 (default) places calibration files in the subdirectory 'calib' under 'dnload_dir_osiris_calib1'

Choose the records to be downloaded with the start_row and end_row parameters; omit them to download all data

Koa.download ('./outputOS/OSIRIS_date1009.tbl', \
    'ipac', \
    'dnload_dir_osiris_calib1', \
    start_row=35, \
    end_row=40, \
    lev1file=1, \
    calibfile=1, \
    calibdir=1 ) 
    

Start downloading 6 koaid data you requested;
please check your outdir: dnload_dir_osiris_calib1 for  progress ....
No level 1 data found for koaid: [OI.20191009.51811.fits]
No level 1 data found for koaid: [OI.20191009.51956.fits]
No level 1 data found for koaid: [OI.20191009.52093.fits]
No level 1 data found for koaid: [OI.20191009.52230.fits]

A total of 2 new lev0 FITS files downloaded.
2 new lev1 list downloaded.
0 new lev1 files downloaded.
6 new calibration list downloaded.
48 new calibration FITS files downloaded.

The next example uses calibdir=0 to place the calibration files in the ‘lev0’ subdirectory under 'dnload_dir_osiris_calib0'.¶

Koa.download ('./outputOS/OSIRIS_date1009.tbl', \
    'ipac', \
    'dnload_dir_osiris_calib0', \
    start_row=35, \
    end_row=38, \
    lev1file=1, \
    calibfile=1, \
    calibdir=0  )   
    

Start downloading 4 koaid data you requested;
please check your outdir: dnload_dir_osiris_calib0 for  progress ....
No level 1 data found for koaid: [OI.20191009.51811.fits]
No level 1 data found for koaid: [OI.20191009.51956.fits]

A total of 4 new lev0 FITS files downloaded.
4 new lev1 list downloaded.
8 new lev1 files downloaded.
4 new calibration list downloaded.
48 new calibration FITS files downloaded.

Lists of calibration files are downloaded in IPAC table format (.tbl) and as JSON files (.json).

The JSON files can be read as Pandas data frames with the code below. The example formats the JSON file 'OI.20191009.51811.caliblist.json' in the 'dnload_dir_osiris_calib1/calib' directory

import json

import pandas as pd

filepath = './dnload_dir_osiris_calib1/calib/OI.20191009.51811.caliblist.json'

fp = None
jsondata = None
try:
    with open (filepath) as fp:
    
        jsondata = json.load (fp)
    fp.close()

except Exception as e:

    print (f'read input jsonfile error: {str(e):s}')
    sys.exit()

status = ''
nrec = -1
tbldata = None

try:
    status = jsondata['status']

except Exception as e:
    print ('Exception extracting keyword "status"')
  

try:
    nrec = int(jsondata['nrec'])

except Exception as e:
    print ('Exception extracting keyword "nrec"')
  

try:
    tbldata = jsondata['table']

except Exception as e:
    print ('Exception extracting keyword "table"')
    
    
print (f'status= {status:s}')
print (f'nrec= {nrec:d}')

df = pd.json_normalize (tbldata)      
print (df)

status= ok
nrec= 10
                    koaid                ofname instrument targname  object  \
0  OI.20191008.11975.fits  i191008_a003042.fits     OSIRIS  unknown  <none>   
1  OI.20191008.12128.fits  i191008_a003043.fits     OSIRIS  unknown  <none>   
2  OI.20191008.12281.fits  i191008_a003044.fits     OSIRIS  unknown  <none>   
3  OI.20191008.12434.fits  i191008_a003045.fits     OSIRIS  unknown  <none>   
4  OI.20191008.12900.fits  i191008_a003048.fits     OSIRIS  unknown  <none>   
5  OI.20191008.12747.fits  i191008_a003047.fits     OSIRIS  unknown  <none>   
6  OI.20191008.13053.fits  i191008_a003049.fits     OSIRIS  unknown  <none>   
7  OI.20191008.13206.fits  i191008_a003050.fits     OSIRIS  unknown  <none>   
8  OI.20191008.13360.fits  i191008_a003051.fits     OSIRIS  unknown  <none>   
9  OI.20191008.12594.fits  i191008_a003046.fits     OSIRIS  unknown  <none>   

  koaimtyp frameno instr filter coadds  ...           ut   elaptime progid  \
0     dark      42  imag    Drk      1  ...  03:19:35.60  119.49700   N129   
1     dark      43  imag    Drk      1  ...  03:22:08.60  119.49700   N129   
2     dark      44  imag    Drk      1  ...  03:24:41.09  119.49700   N129   
3     dark      45  imag    Drk      1  ...  03:27:14.60  119.49700   N129   
4     dark      48  imag    Drk      1  ...  03:35:00.23  119.49700   N129   
5     dark      47  imag    Drk      1  ...  03:32:27.74  119.49700   N129   
6     dark      49  imag    Drk      1  ...  03:37:33.74  119.49700   N129   
7     dark      50  imag    Drk      1  ...  03:40:06.74  119.49700   N129   
8     dark      51  imag    Drk      1  ...  03:42:40.76  119.49700   N129   
9     dark      46  imag    Drk      1  ...  03:29:54.74  119.49700   N129   

  proginst      progpi                                           progtitl  \
0     NASA  Eisenhardt  Mapping Feedback and Star Formation in a Hyper...   
1     NASA  Eisenhardt  Mapping Feedback and Star Formation in a Hyper...   
2     NASA  Eisenhardt  Mapping Feedback and Star Formation in a Hyper...   
3     NASA  Eisenhardt  Mapping Feedback and Star Formation in a Hyper...   
4     NASA  Eisenhardt  Mapping Feedback and Star Formation in a Hyper...   
5     NASA  Eisenhardt  Mapping Feedback and Star Formation in a Hyper...   
6     NASA  Eisenhardt  Mapping Feedback and Star Formation in a Hyper...   
7     NASA  Eisenhardt  Mapping Feedback and Star Formation in a Hyper...   
8     NASA  Eisenhardt  Mapping Feedback and Star Formation in a Hyper...   
9     NASA  Eisenhardt  Mapping Feedback and Star Formation in a Hyper...   

                                            filehand       semid propint  \
0  /koadata23/OSIRIS/20191008/lev0/OI.20191008.11...  2019B_N129      18   
1  /koadata23/OSIRIS/20191008/lev0/OI.20191008.12...  2019B_N129      18   
2  /koadata23/OSIRIS/20191008/lev0/OI.20191008.12...  2019B_N129      18   
3  /koadata23/OSIRIS/20191008/lev0/OI.20191008.12...  2019B_N129      18   
4  /koadata23/OSIRIS/20191008/lev0/OI.20191008.12...  2019B_N129      18   
5  /koadata23/OSIRIS/20191008/lev0/OI.20191008.12...  2019B_N129      18   
6  /koadata23/OSIRIS/20191008/lev0/OI.20191008.13...  2019B_N129      18   
7  /koadata23/OSIRIS/20191008/lev0/OI.20191008.13...  2019B_N129      18   
8  /koadata23/OSIRIS/20191008/lev0/OI.20191008.13...  2019B_N129      18   
9  /koadata23/OSIRIS/20191008/lev0/OI.20191008.12...  2019B_N129      18   

  diff_date  
0         1  
1         1  
2         1  
3         1  
4         1  
5         1  
6         1  
7         1  
8         1  
9         1  

[10 rows x 27 columns]

Login access

The next query shows how a PI can login with their KOA credentials, assigned when the data were acquired, and access their protected data. The example is a query for public data to show the syntax. Please login with your KOA supplied credentials to access your private data. While logged in, you can access all public data as well. Koa.login creates the cookie file at login.

Note: if files have been downloaded already, they will not be downloaded again and overwritten.

Koa.login ('./tapcookie.txt')

Userid: tapdemo
Password: ········
Successfully login as tapdemo

Include the cookiepath in your query to access your data, as in this example:

Koa.query_datetime ('osiris', \
    '2019-05-28 00:00:00/2019-05-31 23:59:59', \
    './outputOS/osiris_login.tbl', overwrite=True, format='ipac', \
    cookiepath='./tapcookie.txt' )

rec = Table.read ('./outputOS/osiris_login.tbl',format='ipac')
print (rec)
                    

submitting request...
Result downloaded to file [./outputOS/osiris_login.tbl]
        koaid          instrume   targname    object  ... filter instr scale
                                                      ...                   
---------------------- -------- ------------ -------- ... ------ ----- -----
OS.20190528.01189.fits   OSIRIS horizon lock   <none> ...    Kn3  spec  0.02
OS.20190528.01319.fits   OSIRIS horizon lock   <none> ...    Kn3  spec  0.02
OS.20190528.02504.fits   OSIRIS           --   <none> ...    Kn3  spec  0.02
OS.20190528.02692.fits   OSIRIS      unknown   <none> ...    Kn3  spec  0.02
OS.20190528.02790.fits   OSIRIS      unknown   <none> ...    Kn3  spec  0.02
OS.20190528.03606.fits   OSIRIS      unknown   <none> ...    Kn3  spec  0.02
OS.20190528.04933.fits   OSIRIS      unknown     dark ...    Kbb  spec  0.05
OS.20190528.06168.fits   OSIRIS      unknown     dark ... Moving  spec  0.05
OS.20190528.06858.fits   OSIRIS      unknown     dark ...    Drk  spec  0.05
OS.20190528.07194.fits   OSIRIS      unknown     dark ...    Drk  spec  0.05
                   ...      ...          ...      ... ...    ...   ...   ...
OI.20190531.51610.fits   OSIRIS        tt288 KB190842 ...     Kp  imag  0.02
OI.20190531.51700.fits   OSIRIS        tt288 KB190842 ...     Kp  imag  0.02
OI.20190531.51772.fits   OSIRIS        tt288 KB190842 ...     Kp  imag  0.02
OI.20190531.51842.fits   OSIRIS        tt288 KB190842 ...     Kp  imag  0.02
OI.20190531.52132.fits   OSIRIS        tt205 OB161067 ...     Kp  imag  0.02
OI.20190531.52204.fits   OSIRIS        tt205 OB161067 ...     Kp  imag  0.02
OI.20190531.52276.fits   OSIRIS        tt205 OB161067 ...     Kp  imag  0.02
OI.20190531.52361.fits   OSIRIS        tt205 OB161067 ...     Kp  imag  0.02
OI.20190531.52434.fits   OSIRIS        tt205 OB161067 ...     Kp  imag  0.02
OI.20190531.52514.fits   OSIRIS        tt205 OB161067 ...     Kp  imag  0.02
Length = 969 rows

---

Visit KOA at https://koa.ipac.caltech.edu

Please acknowledge the use of KOA by including this text in your publications: "This research has made use of the Keck Observatory Archive (KOA), which is operated by the W. M. Keck Observatory and the NASA Exoplanet Science Institute (NExScI), under contract with the National Aeronautics and Space Administration."

Please also acknowledge the PI(s) of datasets that have been obtained through KOA, and please contact the KOA Help Desk if you publish archival data:

KOA Help Desk

The Keck Observatory Archive (KOA) is a collaboration between the NASA Exoplanet Science Institute (NExScI) and the W. M. Keck Observatory (WMKO). NExScI is sponsored by NASA's Exoplanet Exploration Program, and operated by the California Institute of Technology in coordination with the Jet Propulsion Laboratory (JPL).

Need help? Submit your questions to the KOA Help Desk