Joint Survey Processing of LSST, Euclid and WFIRST: Enabling a broad array of astrophysics and cosmology through pixel level combinations of datasets Article Swipe
Ranga‐Ram Chary
,
Gabriel Brammer
,
P. Capak
,
William A. Dawson
,
Andreas L. Faisst
,
S. B. Fajardo‐Acosta
,
H. C. Ferguson
,
Carl J. Grillmair
,
Shoubaneh Hemmati
,
Anton M. Koekemoer
,
B. Lee
,
R. Lupton
,
S. Malhotra
,
P. Melchior
,
Ivelina Momcheva
,
Jeffrey A. Newman
,
J. Masiero
,
R. Paladini
,
Abhishek Prakash
,
Jason Rhodes
,
B. Rusholme
,
M. Schneider
,
Nathaniel R. Stickley
,
J. A. Smith
,
W. M. Wood‐Vasey
,
G. Bruce Berriman
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1910.01259
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1910.01259
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.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/1910.01259
- https://arxiv.org/pdf/1910.01259
- OA Status
- green
- Cited By
- 4
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2977644319
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2977644319Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.48550/arxiv.1910.01259Digital Object Identifier
- Title
-
Joint Survey Processing of LSST, Euclid and WFIRST: Enabling a broad array of astrophysics and cosmology through pixel level combinations of datasetsWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-10-03Full publication date if available
- Authors
-
Ranga‐Ram Chary, Gabriel Brammer, P. Capak, William A. Dawson, Andreas L. Faisst, S. B. Fajardo‐Acosta, H. C. Ferguson, Carl J. Grillmair, Shoubaneh Hemmati, Anton M. Koekemoer, B. Lee, R. Lupton, S. Malhotra, P. Melchior, Ivelina Momcheva, Jeffrey A. Newman, J. Masiero, R. Paladini, Abhishek Prakash, Jason Rhodes, B. Rusholme, M. Schneider, Nathaniel R. Stickley, J. A. Smith, W. M. Wood‐Vasey, G. Bruce BerrimanList of authors in order
- Landing page
-
https://arxiv.org/abs/1910.01259Publisher landing page
- PDF URL
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https://arxiv.org/pdf/1910.01259Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/1910.01259Direct OA link when available
- Concepts
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Dark energy, Pixel, Astronomy, Cosmology, Galaxy, Dark matter, Computer science, Physics, Artificial intelligenceTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
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2023: 1, 2021: 2, 2020: 1Per-year citation counts (last 5 years)
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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