Overview: Joint Survey Processing (JSP) is aimed at enabling science that requires pixel-level combination of data from the Vera C. Rubin Observatory, Euclid, and the Nancy Grace Roman Space Telescope.
The Euclid, Vera C. Rubin Observatory (formerly known as LSST) and the Nancy Grace Roman Space Telescope (formerly known as WFIRST) projects will undertake flagship optical/near-infrared surveys in the next decade. By mapping thousands of square degrees of sky and covering the electromagnetic spectrum between 0.3 and 2 microns with sub-arcsec resolution, these projects will detect several tens of billions of sources, enable a wide range of astrophysical investigations and provide unprecedented constraints on the nature of dark energy and dark matter. The ultimate cosmological, astrophysical and time-domain science yield from these missions will require “joint survey processing” (JSP) functionality at the pixel level that is outside the scope of the individual survey projects.
JSP is aimed at optimally co-processing Euclid, Rubin, and Roman survey datasets at the pixel level to derive the highest precision multi-wavelength imaging and catalog products. These would be conveniently served through a common user-interface to the community who could manipulate these products for their scientific analyses. JSP is planned as a collaborative effort coordinated by IPAC, with support from NASA, DOE and NSF, and participation by the survey projects, NASA science centers, DOE laboratories and the community at large. A first study funded by NASA led to this Report (Joint Survey Processing of Euclid, Rubin and Roman: Final Report), which describes a plan to achieve the JSP aims, and formed the basis of this Facilities White Paper submitted to Astro2020 (JSP: Joint Survey Processing of LSST/Euclid/WFIRST).
Within JSP we work on defining, creating, and implementing tools to combine data at space (~0.1-0.2") and ground-based (>0.7") resolution at the pixel level and at different wavelengths (near-infrared and optical). This enables a range of new science in the areas of Cosmology, Reionization and Galaxy Evolution, Microlensing and the Search for Planets and Stellar Mass Black Holes, and Stellar Populations and their Proper Motions.
Specifically, JSP focuses on the following science cases:
On the technical side, JSP is developing science platforms, and leveraging high-performance networking, in order to enable distributed co-processing of petabyte-sized datasets.
See the following relevant publications for more information:
JSP optimally combines future Rubin (formerly known as LSST), Euclid, and Roman (formerly known as WFIRST) datasets at the pixel level. This means combining images at different depths, resolutions, and wavelengths. Within JSP, we are developing the optimal tools and interfaces for providing a data product whose value is greater than just catalog matching between projects.
JSP is creating a science platform that provides an agile user interface with customized processing applications. These will be executed on-the-fly on concordance standardized, calibrated frames that will be derived from the project data releases. The concordance images and catalogs will be stored at the corresponding data processing centers.
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