Cosmology data analysis challenges and opportunities in the LSST sky survey

Anthony Tyson, J.

doi:10.1088/1742-6596/1290/1/012001

Title: Cosmology data analysis challenges and opportunities in the LSST sky survey

Abstract

Fueled by advances in software, microelectronics, and large optics fabrication, a new type of sky survey will soon begin. In a relentless campaign of 15 second exposures with a 3 gigapixel camera, the Large Synoptic Survey Telescope will cover the sky deeply every week for ten years. LSST will chart billions of remote galaxies, providing multiple probes of the mysterious Dark Matter and Dark Energy. Multiple probes of the effects of dark energy over an unprecedented volume of the universe will allow us to measure how dark energy behaves over time to high precision. Hundreds of petabytes of high dimensional complex data will be mined and compared with Exascale simulations. After reviewing the LSST project, I will describe some of the computational challenges and opportunities.

Authors:

Anthony Tyson, J. ^[1]

Univ. of California, Davis, CA (United States)

Publication Date:: Tue Oct 01 00:00:00 EDT 2019

Research Org.:: Univ. of California, Davis, CA (United States)

Sponsoring Org.:: USDOE Office of Science (SC), High Energy Physics (HEP)

OSTI Identifier:: 1595443

Grant/Contract Number:: SC0009999

Resource Type:: Accepted Manuscript

Journal Name:: Journal of Physics. Conference Series

Additional Journal Information:: Journal Volume: 1290; Conference: 30. XXX IUPAP Conference on Computational Physics, Davis, CA (United States), 29 Jul-2 Aug 2018; Journal ID: ISSN 1742-6588

Publisher:: IOP Publishing

Country of Publication:: United States

Language:: English

Subject:: 79 ASTRONOMY AND ASTROPHYSICS

Citation Formats


                    Anthony Tyson, J. Cosmology data analysis challenges and opportunities in the LSST sky survey.  United States: N. p., 2019. 
Web.  doi:10.1088/1742-6596/1290/1/012001.

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                    Anthony Tyson, J. Cosmology data analysis challenges and opportunities in the LSST sky survey.  United States.  https://doi.org/10.1088/1742-6596/1290/1/012001

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                    Anthony Tyson, J. Tue .  
"Cosmology data analysis challenges and opportunities in the LSST sky survey".  United States.  https://doi.org/10.1088/1742-6596/1290/1/012001.  https://www.osti.gov/servlets/purl/1595443.

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@article{osti_1595443,

  title        = {Cosmology data analysis challenges and opportunities in the LSST sky survey},

  author       = {Anthony Tyson, J.},

  abstractNote = {Fueled by advances in software, microelectronics, and large optics fabrication, a new type of sky survey will soon begin. In a relentless campaign of 15 second exposures with a 3 gigapixel camera, the Large Synoptic Survey Telescope will cover the sky deeply every week for ten years. LSST will chart billions of remote galaxies, providing multiple probes of the mysterious Dark Matter and Dark Energy. Multiple probes of the effects of dark energy over an unprecedented volume of the universe will allow us to measure how dark energy behaves over time to high precision. Hundreds of petabytes of high dimensional complex data will be mined and compared with Exascale simulations. After reviewing the LSST project, I will describe some of the computational challenges and opportunities.},

  doi          = {10.1088/1742-6596/1290/1/012001},

  journal      = {Journal of Physics. Conference Series},

  number       = ,

  volume       = 1290,

  place        = {United States},

  year         = {Tue Oct 01 00:00:00 EDT 2019},

  month        = {Tue Oct 01 00:00:00 EDT 2019}

}

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Journal Article:

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https://doi.org/10.1088/1742-6596/1290/1/012001

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Works referenced in this record:

DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
journal, February 2018

Mao, Yao-Yuan; Kovacs, Eve; Heitmann, Katrin
The Astrophysical Journal Supplement Series, Vol. 234, Issue 2
DOI: 10.3847/1538-4365/aaa6c3

CosmoSIS: Modular cosmological parameter estimation
journal, September 2015

Zuntz, J.; Paterno, M.; Jennings, E.
Astronomy and Computing, Vol. 12
DOI: 10.1016/j.ascom.2015.05.005

Cosmology with the Large Synoptic Survey Telescope: an overview
journal, April 2018

Zhan, Hu; Anthony Tyson, J.
Reports on Progress in Physics, Vol. 81, Issue 6
DOI: 10.1088/1361-6633/aab1bd

HACC: Simulating sky surveys on state-of-the-art supercomputing architectures
journal, January 2016

Habib, Salman; Pope, Adrian; Finkel, Hal
New Astronomy, Vol. 42
DOI: 10.1016/j.newast.2015.06.003

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Similar Records

Title: Cosmology data analysis challenges and opportunities in the LSST sky survey

Abstract

Citation Formats

DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs journal, February 2018

CosmoSIS: Modular cosmological parameter estimation journal, September 2015

Cosmology with the Large Synoptic Survey Telescope: an overview journal, April 2018

HACC: Simulating sky surveys on state-of-the-art supercomputing architectures journal, January 2016

DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs
journal, February 2018

CosmoSIS: Modular cosmological parameter estimation
journal, September 2015

Cosmology with the Large Synoptic Survey Telescope: an overview
journal, April 2018

HACC: Simulating sky surveys on state-of-the-art supercomputing architectures
journal, January 2016