The walk-through on how to produce the Figure above using the programmatic access to the catalogue is illustrated in this forum entry (it requires the installation of the un-official ESOAsg python package).
many thanks for using the ESO archive services.
There are different ways to achieve your goal:
SELECT TOP 10 *
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
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.
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
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.
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).
many thanks for using the ESO archive system!
To access to XSHOOTER data programmatically you can use a query similar to this one:
target_name, dp_id, s_ra, s_dec, t_exptime, em_min, em_max,
dataproduct_type, instrument_name, obstech, abmaglim,
(INTERSECTS(CIRCLE('ICRS',109.66824871,-24.55869773,5./3600), s_region)=1 OR
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.
Dear user, many thanks for using the Archive Science Portal! There are 3 ways to solve your problem:
target_name, dp_id, s_ra, s_dec,
t_exptime, em_min, em_max,
obstech, proposal_id, obs_collection,
proposal_id LIKE '084.B-0869%'
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).
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