The ESO Archive Community Forum is a platform for sharing ideas and methods, asking questions and sending feedback and suggestions on how to improve and use the new ESO Archive Science Portal and on how to  gain Programmatic and tool access to the archive science portal. 

Contributions from all users are encouraged, also without registration.

To participate in the knowledge exchange, please choose an appropriate Forum from the right panel or from the drop-down menu on the top of this page and write a message. An agent from the ESO Archive Science Group (ASG) will receive, moderated it, and make it public as soon as possible.

Currently, open forums are:

The ESO Archive Community Forum also provides help pages about the data access and retrieval, and about the data types used in the ESO Archive.

Please be aware that the channel to receive help concerning data access, data reduction and pipelines, and quality of products is provided by the ESO helpdesk.

Please observe the usual basic etiquette rule of remain professional, respectful, and courteous at all times.


Second Data Release from the MATISSE/OCA-ESO Project (AMBRE)

Archive Science Group 1 month ago updated 1 month ago 1


The AMBRE collaboration between the Observatoire de la Côte d'Azur (OCA, Nice) and ESO has the goal to analyse the wealth of stellar spectroscopic data in the ESO science archive using the MATISSE parametrisation algorithm to derive stellar atmospheric parameters (Recio-Blanco et al., 2006, Worley et al. 2012, de Laverny et al. 2012, Worley et al. 2016).

This data release provides stellar radial velocity, effective temperature, surface gravity, mean metallicity and enrichment in alpha-elements for about 6600 stellar objects observed between March 2000 and November 2010 using the VLT/UVES spectrograph. 51897 stellar spectra were analysed in total, resulting in the complete parameter set for about 20%. More information can be found in the related release documentation.

The catalog of stellar parameters is available via the dedicated Catalog Query Interface or programmatically.


First data release from the GALACTICNUCLEUS survey

Archive Science Group 1 month ago updated 1 month ago 0


The goal of GALACTICNUCLEUS survey (ESO Large Programme 195.B-0283, PI Rainer Schödel) is to build a single-epoch high angular resolution (0.2”) source catalogue of the Galactic Center in the near infrared bands J,H,Ks. Data were acquired with HAWK-I between June 2015 and June 2018. They covered seven regions spread over the nuclear stellar disk, the inner Galactic bulge and the transition region between them, for a total area covered of about 0.3deg2. The final catalogue includes accurate PSF photometry for 3.3x106 stars. The 5-sigma limiting AB magnitude for the different NIR bands are J~22mag, H~21mag and Ks~21mag. The released catalogue also provides absolute coordinates for all the sources.

In addition to the source catalogue, this data release includes images and related error maps from which the catalogue was extracted.

More information is available in the release documentation, data are downloadable via the ESO Science Portal or programmatically, the catalogue can be queried via the Catalog Facility or TAP.


Release of pipeline processed ESPRESSO 1D spectra products

Archive Science Group 2 months ago 0


This data release provides access to reduced scientific data obtained with ESPRESSO. This instrument is a highly-stabilised fibre-fed echelle spectrograph that can be fed with light from either a single or up to four Unit Telescopes simultaneously. It is installed at the incoherent combined Coudé facility of the VLT.

Nearly 2000 spectra obtained in all instrumental modes (HR, UHR, and MR) from the start of operations until March 2020 are now published via the ESO archive. The data consist of extracted, wavelength-calibrated and flux-calibrated 1-dimensional spectra with merged echelle orders. If several exposures on the same target are executed within the same observing template, the extracted and flux-calibrated spectra of the single exposures are combined into a co-added spectrum with increased signal-to-noise ratio. The combined spectrum becomes the primary product, while the single spectra are made available as associated files. The reduced science spectra come with an associated set of ancillary information which are described in detail in the accompanying release description.

The ESPRESSO data collection will grow with time. As new ESPRESSO data are acquired at the observatory, the reduced products will become available in monthly release cycles as soon as they are processed. The data products can be queried and downloaded using the ESO Archive Science Portal or the programmatic access. More details about the data can be found in the published data release description. The 1D spectra are stored in a tabular format following the established standard for ESO science data products. Instructions on how to read or display the spectra can be found in the 1D spectrum data format help page.


ESO Science Archive: 10,000,000 Processed Science Files Downloaded … and Counting!

Archive Science Group 2 months ago updated 2 months ago 0


March 17th marked an important milestone for the ESO Science Archive with the download of the 10,000,000th processed science file by a member of the ESO community. The Science Archive is a major science resource: more than 35% of the refereed papers based on ESO data that were published in 2020 used it. Its data holdings are constantly increasing, and it currently includes more than 3,000,000 processed datasets from the La Silla Paranal and ALMA observatories, calibrated to remove instrumental and atmospheric effects.

These are spectra, images, data cubes, source catalogues, flux maps and interferometric visibilities (the 10,000,000th file itself was a spectrum from the GAIA-ESO Public Survey). These data products can be browsed and downloaded via an highly interactive and intuitive web application or programmatically with Virtual Observatory protocols and tools.

In addition to processed data, the ESO Science Archive also stores and serves all the La Silla Paranal raw data as generated at the telescopes and related calibrations. They too can be browsed via a dedicated web interface or programmatically. Dedicated software processing tools to calibrate and extract the science signal are available.


New spectra, images, and transient catalog of the PESSTO public survey (DR4)

Archive Science Group 3 months ago 0


A new release of the Public ESO Spectroscopic Survey for Transient Objects (PESSTO) is available, including spectra and images from its ePESSTO extension, and the delivery of a new transient catalogue, globally covering 7 years of observations, from April 2012 to April 2019, for a total of 45GB.

This new release brings to 2323 the number of observed supernovae and optical transients, with calibrated 1D spectra for 2314 of them, doubling the number of objects previously published (1168 in the previous version). Also doubled is the number of selected key targets (now 337) that were scheduled for follow-up time-series EFOSC2 optical spectroscopy, so to monitor the supernovae at the extremes of the known population e.g. the most luminous, the faintest, the fast declining, etc. The total number of spectra for the key targets is 3748, including the SOFI spectra taken for the brightest ones. SOFI imaging (broad-band JHKs) was nearly always taken when SOFI near infra-red spectra were taken.

Data are available via the ESO Science Portal or programmatically. For more details on the observing strategy, the data reduction, calibration, and quality, along with a table of the selected key targets, and the description of the catalogue, please refer to the comprehensive release description.

Note: an updated version of the PESSTO multi-epoch photometry catalogue published in DR3.1 is expected by the summer.


First data released from the project: 'Investigating stellar population in relics (INSPIRE)'

Archive Science Group 3 months ago updated 3 months ago 0


The INSPIRE project is an ESO Large Programme (ID: 1104.B- 0370, PI: C. Spiniello) which uses X-Shooter (in UVB, VIS, NIR band) to spectroscopically follow up 52 red ultra Compact Massive Galaxies selected from the KiDS VST ESO Public Survey.

The goals of INSPIRE (Spiniello et al. 2021a, Spiniello et al. 2021b) is to obtain the first catalogue of spectroscopically confirmed relics in the redshift range 0.1<z<0.5, bridge the gap between the three local confirmed relics and the high-z red nuggets, use the final statistic on confirmed relics to put a stringent constraint on the predictions from simulations on the initial burst of star formation in galaxies.

This first release provides 76 1D spectra for 19 galaxies whose observations were completed. For each galaxy, there are four 1D spectra products: two UVB spectra and two VIS. For each object, the two pairs in each arm are extracted using either an aperture that includes 50% of the light or with an optimal extraction procedure on the entire slit. Together with the extracted 1D spectra, the combined UVB+VIS spectra, restframed and smoothed to a final resolution of FWHM = 2.52 Ang. are also published as ancillary files (these products were used for the stellar population analysis in S21b). The products contain measurements like redshift, stellar age and metallicity from the spectra in dedicated header keywords, which are listed in the detailed release description together with more details about the released products. The 1D spectra for the NIR arms and a comprehensive catalogue of the galaxies proprieties will be included in a future release.

Data are available via the ESO Science Portal or programmatically.


First Data Release of the SINFONI Survey for Unveiling the Physics and the Effect of Radiative feedback (SUPER)

Archive Science Group 9 months ago updated 3 months ago 0

The first data release of the SINFONI Survey for Unveiling the Physics and the Effect of Radiative feedback (SUPER, Circosta et al. 2018; ESO Large Programme 196.A-0377, PI: Mainieri) is now available to the community on ESO Archive via the Science Portal or programmatically


This release consists of 20 SINFONI cubes targeting z=2-2.5 Type-1 AGNs in the H (or H+K) band. The adaptive optics module was employed during the IFU observations, abating the effects of atmospheric turbulence down to a superb angular resolution of 0.2 arcsecond (corresponding to ~2 kpc at the AGN redshifts). In combination with the long exposures (of the order of 1-7 hour), the data provides 3D spatially resolved high-quality maps of the Hβ and [OIII] emission lines and of the star emission from the AGN host galaxies.

More information about the release content can be found in the accompanying documentation.


Second data release of the VISTA EXtension to Auxiliary Surveys (VEXAS)

Archive Science Group 3 months ago updated 3 months ago 1


The VISTA EXtension to Auxiliary Surveys (VEXAS, Spiniello & Agnello, 2019) project aims at building wide and spatially homogeneous multi-wavelength catalogues (from X-ray to radio) providing reference magnitudes, colors and morphological information for a large number of scientific uses. Currently the VEXAS catalogue is the widest and deepest public optical-to-IR photometric and spectroscopic database in the Southern Hemisphere, comprising more than 90 million objects with reliable photometry measured in at least one of the VISTA infrared bands, two of the WISE bands and three optical bands.

This second release provides a new version of the three VEXAS DR1 optical+infrared tables: VEXAS-DESW, VEXAS-PSW and VEXAS-SMW in which sources fainter than 25 mag have been removed and additional quality improvements were applied. Objects are now classified into stars, galaxies and quasars using an ensemble of thirty-two different machine learning models, based on three different algorithms and on different magnitude sets, training samples and classification problems (two or three classes). A new version of the spectroscopic table is also

provided. In order to build a training sample as large as possible and as complete and clean as possible in all the three classes of objects, on top of SDSS, 5 additional surveys have been used in this new version (SDSS DR16, Ahumada et al. 2019; WiggleZ, Drinkwater et al. 2018; GAMA DR3 Baldry et al. 2018; OzDES, Childress et al. 2017; 2QZ, Croom et al. 2004; and 6dFFS DR3, Jones et al. 2009) to which strict selection criteria have been applied. The machine learning pipeline and main results on the classification are described in detail in Khramtsov et al. (2021).

Detailed information are available in the accompanying release documentation. The tables are linked to the primary one and can be queried together via the ESO Catalogue Query Interface or programmatically.


New version of the ESO Science Data Products Standard (V7)

Archive Science Group 3 months ago updated 3 months ago 0


The version 7 of the ESO Science Data Products Standard is now published! This document is the reference for users on how to prepare their data for the submission through Phase 3. Highlights of the revision are:

  • A new data format was introduced for single image products. It allows additional ways of packaging weightmap, background, etc in extensions and will support future science data products from future VLT NIR imagers , e.g., ERIS.
  • White-light images associated with IFS cubes must now be identified with a unique product category.
  • In case of moving objects, more instructions are given on how to set up the source identifier.
  • Vector-valued fields are supported for catalogue data. There is a maximum limit of 1500 elements for these vectors.

For more detailed information, please consult the change record from the previous version, which is available in the document. The new version of the Science Data Products standard can be downloaded as PDF document. The Phase 3 validation rules are currently being aligned with the SDP standard version 7. A summary of the implemented checks is available here.


Fourth - and final - data release of the Spectroscopic Public Survey VANDELS

Archive Science Group 4 months ago 0


The fourth and final data release of the deep VIMOS survey of the CANDELS UDS and CDFS fields, VANDELS, is now available in the ESO Science Archive Facility.

The VANDELS survey (Programme id 194.A-2003, PI L. Pentericci and R. McLure) started data acquisition in November 2014 and was completed in March 2018 before the VIMOS decommissioning. It delivers high signal-to-noise (range: 10-100), medium resolution (R~600) optical spectra (4800-10000Å) for galaxies in the UKIDSS Ultra Deep Survey (UDS) and Chandra Deep Field South (CDFS) survey fields. The total area covered is 0.2degree2.

Using robust photometric redshift pre-selection, VANDELS targeted ≈2100 galaxies in the redshift interval 1.0<z<7.0, with 85% of its targets selected to be at z≥3. VANDELS also targeted a substantial number of passive galaxies in the redshift interval 1.0<z<2.5. The magnitude range of the sample is HAB<24mag for star-forming galaxies in the redshift interval 2.5<z<5.5, HAB<27mag for Lyman-break galaxies (LBGs) in the redshift interval 3.0<z<7.0, and HAB<22.5mag for passive galaxies at redshifts 1.5<z<2.5.

Each target received between a minimum of 20 hours and a maximum of 80 hours of on-source integration time. The legacy of VANDELS consists of determining the key physical properties of high redshift galaxies such as their stellar population ages, metallicities and outflow velocities from detailed absorption-line studies.

This fourth data release consists of 2165 spectra (downloadable via the ESO Science Portal or programmatically), 1061 spectra in CDFS and 1104 in UDS field, respectively. DR4 totally replaces all products released in DR3 because of the new flux correction applied in the blue wavelength. In addition, DR4 provides 287 new spectra and 104 spectra of serendipitously observed objects.

In addition to the 1D spectrum products, this final release contains also the catalogue with spectroscopic redshifts and the derived physical properties for each galaxy. The catalogue can be queried via the Catalog Facility or TAP.

More information about the release content can be found in the accompanying documentation and in Garilli et al. (2021).