Overview: Joint Survey Processing (JSP) is aimed at enabling science that requires pixel-level combination of data from LSST, Euclid, and WFIRST.
The Euclid, LSST and 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 an IPAC-led initiative with the goal to optimally combine future LSST, Euclid, and WFIRST survey datasets at the pixel level and to provide an interface to the community to use these high-quality data products. JSP is planned as a collaborative effort with support from NASA, DOE and NSF, and participation by the survey projects, NASA science centers, DOE laboratories and the community at large.
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, leveraging high-performance networking, in order to enable distributed co-processing of petabyte-sized datasets.
More information on JSP can be found in our Astro2020 JSP Science White Paper.
JSP optimally combines future LSST, Euclid, and 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.
