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Joint Survey Processing of LSST, Euclid and WFIRST: Enabling a broad array of astrophysics and cosmology through pixel level combinations of datasets

Chary, Ranga Ram and Brammer, Gabriel and Capak, Peter and Dawson, William and Faisst, Andreas and Fajardo-Acosta, Sergio and Ferguson, Henry C. and Grillmair, Carl J. and Hemmati, Shoubaneh and Koekemoer, Anton and Lee, Bomee and Lupton, Robert and Malhotra, Sangeeta and Melchior, Peter and Momcheva, Ivelina and Newman, Jeffrey and Masiero, Joseph and Paladini, Roberta and Prakash, Abhishek and Rhodes, Jason and Rusholme, Benjamin and Schneider, Michael and Stickley, Nathaniel and Smith, Arfon and Wood-Vasey, Michael and Berriman, G. Bruce (2019) Joint Survey Processing of LSST, Euclid and WFIRST: Enabling a broad array of astrophysics and cosmology through pixel level combinations of datasets. Astro2020 Science White Paper, . (Unpublished)

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Joint survey processing (JSP) is the pixel level combination of LSST, Euclid, and WFIRST datasets. By combining the high spatial resolution of the space-based datasets with deep, seeing-limited, ground-based images in the optical bands, systematics like source confusion and astrometric mismatch can be addressed to derive the highest precision optical/infrared photometric catalogs. This white paper highlights the scientific motivation, computational and algorithmic needs to build joint pixel level processing capabilities, which the individual projects by themselves will not be able to support. Through this white paper, we request that the Astro2020 decadal committee recognize the JSP effort as a multi-agency project with the natural outcome being a collaborative effort among groups which are normally supported by a single agency. JSP will allow the U.S. (and international) astronomical community to manipulate the flagship data sets and undertake innovative science investigations ranging from solar system object characterization, exoplanet detections, nearby galaxy rotation rates and dark matter properties, to epoch of reionization studies. It will also result in the ultimate constraints on cosmological parameters and the nature of dark energy, with far smaller uncertainties and a better handle on systematics than by any one survey alone.

Item Type:Report or Paper (White Paper)
Related URLs:
URLURL TypeDescription Paper
Chary, Ranga Ram0000-0001-7583-0621
Brammer, Gabriel0000-0003-2680-005X
Capak, Peter0000-0003-3578-6843
Dawson, William0000-0003-0248-6123
Faisst, Andreas0000-0002-9382-9832
Fajardo-Acosta, Sergio0000-0001-9309-0102
Ferguson, Henry C.0000-0001-7113-2738
Grillmair, Carl J.0000-0003-4072-169X
Hemmati, Shoubaneh0000-0003-2226-5395
Koekemoer, Anton0000-0002-6610-2048
Lee, Bomee0000-0003-1954-5046
Lupton, Robert0000-0003-1666-0962
Malhotra, Sangeeta0000-0002-9226-5350
Melchior, Peter0000-0002-8873-5065
Momcheva, Ivelina0000-0003-1665-2073
Newman, Jeffrey0000-0001-8684-2222
Masiero, Joseph0000-0003-2638-720X
Paladini, Roberta0000-0002-5158-243X
Prakash, Abhishek0000-0003-4451-4444
Rhodes, Jason0000-0002-4485-8549
Rusholme, Benjamin0000-0001-7648-4142
Schneider, Michael0000-0002-8505-7094
Smith, Arfon0000-0002-3957-2474
Wood-Vasey, Michael0000-0001-7113-1233
Berriman, G. Bruce0000-0001-8388-534X
Group:Infrared Processing and Analysis Center (IPAC)
Series Name:Astro2020 Science White Paper
Record Number:CaltechAUTHORS:20200916-112912975
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:105418
Deposited By: George Porter
Deposited On:17 Sep 2020 21:33
Last Modified:17 Sep 2020 21:33

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