The Mira–Titan Universe: Precision Predictions for Dark Energy Surveys

Heitmann, Katrin; Bingham, Derek; Lawrence, Earl; Bergner, Steven; Habib, Salman; Higdon, David; Pope, Adrian; Biswas, Rahul; Finkel, Hal; Frontiere, Nicholas; Bhattacharya, Suman

doi:10.3847/0004-637X/820/2/108

Title: The Mira–Titan Universe: Precision Predictions for Dark Energy Surveys

Journal Article · Mon Mar 28 00:00:00 EDT 2016 · The Astrophysical Journal (Online)

DOI:https://doi.org/10.3847/0004-637X/820/2/108· OSTI ID:1339657

^[1]; Bingham, Derek ^[2]; Lawrence, Earl ^[3]; Bergner, Steven ^[2]; Habib, Salman ^[1]; Higdon, David ^[4]; Pope, Adrian ^[1]; Biswas, Rahul ^[5]; Finkel, Hal ^[1]; Frontiere, Nicholas ^[6]; Bhattacharya, Suman ^[1]

Argonne National Lab. (ANL), Lemont, IL (United States)
Simon Fraser Univ., Burnaby, BC (Canada)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Virginia Tech, Arlington, VA (United States)
Argonne National Lab. (ANL), Lemont, IL (United States); Univ. of Washington, Seattle, WA (United States)
Argonne National Lab. (ANL), Lemont, IL (United States); Univ. of Chicago, IL (United States)

Large-scale simulations of cosmic structure formation play an important role in interpreting cosmological observations at high precision. The simulations must cover a parameter range beyond the standard six cosmological parameters and need to be run at high mass and force resolution. A key simulation-based task is the generation of accurate theoretical predictions for observables using a finite number of simulation runs, via the method of emulation. Using a new sampling technique, we explore an eight-dimensional parameter space including massive neutrinos and a variable equation of state of dark energy. We construct trial emulators using two surrogate models (the linear power spectrum and an approximate halo mass function). The new sampling method allows us to build precision emulators from just 26 cosmological models and to systematically increase the emulator accuracy by adding new sets of simulations in a prescribed way. Emulator fidelity can now be continuously improved as new observational data sets become available and higher accuracy is required. Lastly, using one ΛCDM cosmology as an example, we study the demands imposed on a simulation campaign to achieve the required statistics and accuracy when building emulators for investigations of dark energy.

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Research Organization:: Argonne National Laboratory (ANL), Argonne, IL (United States)

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

Grant/Contract Number:: AC02-06CH11357

OSTI ID:: 1339657

Journal Information:: The Astrophysical Journal (Online), Vol. 820, Issue 2; ISSN 1538-4357

Publisher:: Institute of Physics (IOP)Copyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 74 works

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On the road to percent accuracy II: calibration of the non-linear matter power spectrum for arbitrary cosmologies Giblin, Benjamin; Cataneo, Matteo; Moews, Ben arXiv https://doi.org/10.48550/arxiv.1906.02742	text	January 2019
Cosmological Evidence Modelling: a new simulation-based approach to constrain cosmology on non-linear scales Lange, Johannes U.; Bosch, Frank C. van den; Zentner, Andrew R. arXiv https://doi.org/10.48550/arxiv.1909.03107	text	January 2019
Evolution of the Deterministic Collapse Barrier of the Field Clusters as a Probe of Cosmology Ryu, Suho; Lee, Jounghun arXiv https://doi.org/10.48550/arxiv.1910.07690	text	January 2019

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