Dear Enrique,

   many thanks for using the ESO archive services.

There are different ways to achieve your goal:

• If you are interested in a specific data collection, for instance the X-Shooter Spectral Library (XSL), you should refer to the associated release description, that contains information on how the data are reduced and the level of the calibration achieved.
• It is possible to run a TAP query to obtain the list of all calibrated data by setting a WHERE condition on the o_calib_status column and requiring spectrum as dataproduct_type:

  SELECT TOP 10 * 
  FROM ivoa.ObsCore 
  WHERE 
      o_calib_status = 'absolute' AND 
      dataproduct_type = 'spectrum'

• If you are interested in a specific target, you can take advantage of the unofficial ESOAsg python package. For instance, if you want to collect all calibrated spectra present in the ESO archive associated with the star HD 057060, you can run:

  from ESOAsg import archive_observations
  from astropy.coordinates import SkyCoord
  
  # Define star position
  star_position = SkyCoord.from_name('HD 057060')
  
  # Get information on all spectra collected within 5" from the star
  eso_spectra = archive_observations.query_from_radec(star_position, radius=5., columns=['dp_id', 'instrument_name', 'o_calib_status'], data_types='spectrum')
  
  # Select absolute flux calibration
  cond_absolute = (eso_spectra['o_calib_status'] == 'absolute')
  
  # Download the data
  archive_observations.download(eso_spectra['dp_id'][cond_absolute])
  

  Note that this is equivalent to run this TAP query and download the retrieved dp_ids
  

Please let us know if this answer your question. We can also provide a more tailored feedback, but we will need some more details on the goal you need to achieve.

Enjoy your data!

The ESO Archive Science Group

It is also possible to explore the catalogue via the Archive Science Portal. This interface allows users to visualize the distributions of different columns in a catalogue tile in a comprehensive page, by clicking on the action Dataset details. An example of this is shown in the image above.

Dear User,

Many thanks for using the ESO Archive Services.

There are several ways to access the night logs depending on your specific needs.

Details on a user's specific run can be collected via the night log generator. After logging-in in the ESO User Portal, you will be able to download (in PDF format) information on, e.g., weather conditions, daytime calibrations, and observations executed, associated with your observing run.

Alternatively, it is possible to have an overview of all data collected during a night at a specific telescope by exploiting the programmatic access to the archive science portal. For instance, if you are interested data collected with Antu (i.e., ‘ESO-VLT-U1’) during the night of the 15th of March 2021, you can run the following query:

SELECT * FROM dbo.raw
WHERE (date_obs LIKE '2021-03-15%' OR date_obs LIKE '2021-03-16%')
AND telescope = 'ESO-VLT-U1'

Similarly, raw data collected during a specific night can be retrieved at the Observational Raw Data Query Form. From there, it is possible to access weather information associated to a given (science) observation both for La Silla and for Paranal.

In case you are interested in having more information related to a specific night, you can always contact us, and we will be happy to provide a list of target observed (unless protected), observing conditions, etc.

Please let us know if this answer your question. If not, we kindly ask you to provide more details on what you would like to achieve with this, so we will be able to provide a more tailored feedback.

All the best,

the ESO Archive Science Group

Hi!

Correct, one other possibility is that after selecting your data via the Science Portal, you can chose the option of downloading the shell script, as shown in the image, which will download the data.

You just need to make the script executable (chmod u+x ) and run it from the command line. Note: the download script requires wget to be installed on your computer.

I hope this helps.

Dear Thomas,

   many thanks for using the ESO forum. It is refreshing to see interest in disseminating astronomy at schools. If you are interested, more information on ESO outreach activities can be found in the ESO Supernova website.

    In the ESO website you can use our search for images at this link (that is poining to images of the Crux constellation). Alternatively, you can have a glance on the entire sky using our Archive Science Portal. Here you can navigate to the region of the sky you prefer either by introducing coordinates or by simply scrolling with the mouse (and you can also see astronmical images taken with ESO telescopes).

    An other website you might be interested in is: google-sky (the link currently points to the big-dipper constellation).

All the best,

the ESO Archive Science Group

Dear user,

   many thanks for using the ESO archive system!

To access to XSHOOTER data programmatically you can use a query similar to this one:

SELECT
    target_name, dp_id, s_ra, s_dec, t_exptime, em_min, em_max, 
    dataproduct_type, instrument_name, obstech, abmaglim,
    proposal_id, obs_collection
FROM
    ivoa.ObsCore
WHERE
    (INTERSECTS(CIRCLE('ICRS',109.66824871,-24.55869773,5./3600), s_region)=1 OR
     INTERSECTS(CIRCLE('ICRS',279.729582,6.27016,5./3600), s_region)=1
    )
AND
    instrument_name LIKE 'XSHOO%'

where you can include a list of INTERSECTS conditions connected with the OR logic (see these HOWTOs for further details). With this, however, you will still hit a limit in the number of objects to be queried. This is due to the maximum length of the url that could be sent to the TAP service.

It is not possible to overcome the 1000 object limit in the Archive Science Portal. If splitting your list in groups containing <1000 items each is not an option for you, an alternative can be found in this forum page. Here with provide a walk-through on how to get data given a list of star names with python. This requires the installation of the unofficial ESOAsg python package.

Enjoy your data!

Dear user,
    many thanks for using the Archive Science Portal! There are 3 ways to solve your problem:

• You can expand the Query Parameter column in the Archive Science Portal (see figure on the right). From this you will be able to perform a more refined search for a given parameter. This is done by clicking on the little show input form arrow below each panel.
• Alternatively, you can insert the ProgId you are interested in into the ESO XSHOOTER instrument specific query form.
• Finally, you can also run a TAP query where you select instrument_name='XSHOOTER' and your favourite proposal_id:

  SELECT
      target_name, dp_id, s_ra, s_dec, 
      t_exptime, em_min, em_max, 
      dataproduct_type, instrument_name, 
      obstech, proposal_id, obs_collection, 
      access_url
  FROM
      ivoa.ObsCore
  WHERE
      proposal_id LIKE '084.B-0869%' 
  AND
      instrument_name='XSHOOTER'

Please let us know if this answer your question! and enjoy your data!

An additional way to obtain ESO archival data overlapping confidence contours of a gravitational wave event is the script get_data_from_gw_event part of the unofficial ESOAsg python module.

For instance, if you would like to get a link to the new ESO Archive Science Portal showing the data presents within the 50% confidence contours from the S191205ah_bayestar HEALPix maps you can run:

get_data_from_gw_event S191205ah_bayestar.fits.gz -level 50. --asp_link

more options are also available. For instance --download_data allows the user to directly download all the data, possibly restricted to a specific instrument (e.g., --instruments MUSE).

Dear user,

   many thanks for your question.

  We suggest you to explore our catalogue facility: https://www.eso.org/qi/ where the content of all catalogues currently in the ESO archive is described. Reading your question, it seems that you may be interested in GAIAESO and AMBRE (but please check thoroughly that this is indeed the case and if there are other surveys that may cover your scientific interest).

  To access the content of the catalogue and to download the corresponding data, we provide a variety of options. For instance for GAIAESO you can:

• query the Archive Science Portal for GAIAESO here;
• directly explore the different columns of the catalogue here;
• have access the data programmatically here;
• use the phase3 page dedicated to the collection here.

Please let us know if this satisfy your request and/or if you would like to have further assistance.

Best regards from the Archive Science Group!