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The U.S. National Science Foundation (NSF) and the U.S. Department of Energy (DOE) Office of Science will support Rubin Observatory in its operations phase to carry out the Legacy Survey of Space and Time. They will also provide support for scientific research with the data. During operations, NSF funding is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with NSF, and DOE funding is managed by SLAC National Accelerator Laboratory (SLAC), under contract by DOE. Rubin Observatory is operated by NSF NOIRLab and SLAC.

NSF is an independent federal agency created by Congress in 1950 to promote the progress of science. NSF supports basic research and people to create knowledge that transforms the future.

The DOE Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time.

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    1. For Scientists
    2. In Kind Program
    3. Contributed Datasets

    Contributed Datasets

    ****Page Under Construction****


    This webpage lists the complementary data sets expected to be made available to the Rubin Community via the Vera C. Rubin In-kind Program. For each contribution, the title, a summary, and the primary recipient of the contribution are provided. The majority of the contributions have not yet started, or are in an early phase. This information will be periodically updated as the datasets become available.

    Please email the in-kind helpdesk JIKH at lsst dot org if you have any questions about contributed datasets.


    The LSST sources detected by eROSITA (GER-MPE-S3)

    MPE will generate and curate eROSITA-LSST value-added catalogs for the AGN that the LSST collaboration will identify, using public eROSITA data that MPE itself is responsible for.

    Primary Recipient: LSST AGN Science Collaboration\

    ULTRASAT all-sky UV maps (ISR-UST-S2)

    Rubin community will have access to the ULTRASAT all-sky map produced in the first six-months of operation for at least 12 months prior to the public data release

    Primary Recipient: NOIRLab CSDC

    The Son of X-Shooter contribution to Rubin: a set of 2,000 spectra for Machine Learning light curve classification (ITA-INA-S16)

    INAF will deliver 2,000 spectra obtained with SOXS from LSST targets. Deliverables are the entire data acquired for the targets, including 1-D extracted spectra and spectral classification.

    Primary Recipient: TVS

    A Cluster Spectroscopy Hub for galaxy cluster science with LSST (ITA-INA-S17)

    We propose to share a vast spectroscopic database on galaxy clusters, complemented with physical metadata and other imaging (ground-based and HST) data-products, with the LSST community, effectively creating a Cluster Spectroscopy Hub for the exploitation of LSST data for a range of cluster science cases.

    Primary Recipient: NOIRLab CSDC

    A VST surveys to support the Legacy Survey of Space and Time (ITA-INA-S27)

    We propose to use 80 nights/year of VST time from 2026 until 2032 (with a possible extension to 2036) to execute a support survey with VST, to complement the LSST dataset improving the light curve sampling of transient and variable sources, and to deliver the data to the US/Chilean communities before they are made public.

    Primary Recipient: TBD

    Exploiting the synergy between LSST and VST to investigate the cosmos: the expansion rate and the geometry of the Universe measured through the time delays of strongly lensed variable sources. (ITA-INA-S28)

    We propose to use 4620 hours (i.e., 577.5 nights) of VST time over 7 years to complement the LSST dataset improving the light curve sampling of transient and variable sources strongly lensed by galaxies and galaxy clusters, and to deliver the data to the US/Chilean communities before they are made public.

    Primary Recipient: TBD (TVS?)

    Toward next-generation time-domain surveys (TIMEDOMES): VST monitoring of the LSST Deep Drilling Fields (ITA-INA-S29)

    We propose to use 170 hours/year of VST time to execute a precursorsurvey with VST, to complement and extend in time the LSST dataset on 4 DDF, and to combine these observations with all archival data to deliver reduced images, catalogs and lightcurves lasting up to >10 years to the US/Chilean communities.

    Primary Recipient: TBD

    Subaru PFS spectroscopic follow-up survey of LSST transients in deep drilling field (JAP-JPG-S10)

    JPG will deliver the data products from the Subaru PFS spectroscopic follow-up survey of LSST transients in drilling fields, to be ingested into Kavli IPMU Lite IDAC.

    Primary Recipient: DESC

    Subaru PFS filler survey for LSST photo-z training dataset (JAP-JPG-S11)

    The activity offered by JPG would involve the development of a target selection algorithm in close collaboration with Rubin Photo-z Coordination Group and/or DESC, the observation and data analysis, the ingestion of the dataset into Kavli IPMU Lite IDAC with NOIRLab CSDC, and finally the scientific application of the dataset to improve photo-z accuracy of LSST photometric redshifts.

    Primary Recipient: DESC

    Contribution to the LSST photo-z calibration with PFS-SSP galaxy evolution dataset (JAP-JPG-S12)

    JPG will deliver the data products of PFS-SSP, based upon approval from the PFS-SSP team, to the LSST community for photo-z calibration and training datasets.

    Primary Recipient: DESC

    The MOA Archive: a legacy dataset of two decades of photometry across the Galactic Bulge and Magellanic Clouds (NZL-AUK-S2)

    The MOA archive will be ingested into a locally maintained server that will provide image cutouts at the start of the LSST survey and machine calibrated photometry 12 months after the beginning of the survey, giving high cadence coverage of the Galactic Bulge and Magellanics dating back to 2006.

    Primary Recipients: NOIRLab

    Supernova Lightcurves and low-resolution spectra for Full-sky Low-redshift Cosmography Complementing LSST (SWE-STK-S4)

    SU will provide online data file access (anticipated to be hosted at NOIRLab) whereby it is possible for LSST users to download the photometry and spectroscopy tables for each ZTF/ZTF-II SN (or the entire set at once), as well as the ancillary information about the host galaxy environment. We will provide machine readable files, including standard formats used by lightcurve fitters (SALT2, SNooPy) and FITS tables.

    Primary Recipient: DESC

    LSST-matched MIGHTEE data (UKD-OXF-S7)

    The activity offered by Oxford would involve installation of the MIGHTEE Survey data at the UK DAC, and subsequently, joint work with the LSST Science Collaborations in training photo-z (based on HI data and the incorporation of radio continuum and polarisation data) as well as user support for the LSST Science Community to facilitate the use of the Survey data.

    Primary Recipient: NOIRLab CSDC


    Science Software development: Near infrared data fusion (UKD-UKD-S5)

    LSST:UK will provide joint LSST+VISTA near infra-red catalogues produced using the LSST Stack and access to VISTA survey images as a dataset contribution, as well as an implementation of the LSST Stack pipeline reconfigured to jointly process LSST pixels with external survey pixels.

    Primary Recipient: NOIRLab CSDC

    Science Software development: spectroscopic classification of transients and 4MOST spectra (UKD-UKD-S10)

    To provide non-directable software development effort to the LSST DESC for transient spectroscopic follow-up, developing software to ensure successful scheduling and observation of transients and their host galaxies by 4MOST, and the return the transient types and redshifts to the collaboration (through the Lasair broker, within 24hrs) and the final calibrated spectra as contributed data sets on an annual basis.

    Primary Recipient: DESC

    MeerKAT high-level data products and services for LSST (SZA-SAA-S2)

    South Africa will produce reduced high-level data products (images and catalogs) and services for MeerKAT data, as endorsed by the Galaxies Science Collaboration, integrated into the Rubin Science Platform.

    Primary Recipients: Galaxies