Outer rim simulation: Predicting matter distribution in a universe with billions of galaxies
Abstract
Anticipating the completion of the Large Synoptic Survey Telescope (LSST) in 2021 in Chile, Argonne scientists have created one of the largest simulations ever produced, the Outer Rim simulation. As it follows the evolution of matter distribution in the universe and the influence of dark energy, the Outer Rim simulation helps researchers make predictions on what they should expect to see when pointing a next generation telescope like the LSST in its direction. Argonne is helping to develop advanced supercomputing and data analysis tools in support of the LSST.
- Authors:
- Publication Date:
- Research Org.:
- Argonne National Lab. (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1569245
- Resource Type:
- Multimedia
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 79 ASTRONOMY AND ASTROPHYSICS; 97 MATHEMATICS AND COMPUTING; DARK ENERGY; SYNOPTIC SURVEY TELESCOPE; TELESCOPE; GALAXIES
Citation Formats
Heitmann, Katrin. Outer rim simulation: Predicting matter distribution in a universe with billions of galaxies. United States: N. p., 2019.
Web.
Heitmann, Katrin. Outer rim simulation: Predicting matter distribution in a universe with billions of galaxies. United States.
Heitmann, Katrin. Tue .
"Outer rim simulation: Predicting matter distribution in a universe with billions of galaxies". United States. https://www.osti.gov/servlets/purl/1569245.
@article{osti_1569245,
title = {Outer rim simulation: Predicting matter distribution in a universe with billions of galaxies},
author = {Heitmann, Katrin},
abstractNote = {Anticipating the completion of the Large Synoptic Survey Telescope (LSST) in 2021 in Chile, Argonne scientists have created one of the largest simulations ever produced, the Outer Rim simulation. As it follows the evolution of matter distribution in the universe and the influence of dark energy, the Outer Rim simulation helps researchers make predictions on what they should expect to see when pointing a next generation telescope like the LSST in its direction. Argonne is helping to develop advanced supercomputing and data analysis tools in support of the LSST.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2019},
month = {4}
}