Dataset.
The DESI N-body Simulation Project II: Suppressing Sample Variance with Fast Simulations
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/331079
Digital.CSIC. Repositorio Institucional del CSIC
- Ding, Zhejie
- Chuang, Chia-Hsun
- Yu, Yu
- Garrison, Lehman H.
- Bayer, Adrian E.
Supplementary material to DESI's publication "The DESI N-body Simulation Project II: Suppressing Sample Variance with Fast Simulations" to comply with the data management plan., We collect all the data and code needed to produce the figures in the paper. The data set mainly consists of halo two-point correlation function (CF), power spectra (Pk) and bispectra (Bk) from the AbacusSummit and FastPM simulations. For Pk, we include results from the base cosmology (c000), the secondary cosmology c002 and c004, respectively. For Pk and CF, we separate results with different halo mass cut 10^11 and 10^13 Msun/h. We provide python jupyter notebooks for the plotting routines. The subfolder "output" in each directory contains all the necessary data for the plots., ZD and YY were supported by the National Key Basic Research and Development Program of China (No. 2018YFA0404504) and the National Science Foundation of China (grant Nos. 11621303, 1189069, 111773048)., Peer reviewed
DOI: http://hdl.handle.net/10261/331079
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/331079
HANDLE: http://hdl.handle.net/10261/331079
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/331079
Ver en: http://hdl.handle.net/10261/331079
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/331079
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1 Documentos relacionados
1 Documentos relacionados
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/295963
Artículo científico (article). 2022
THE DESI N-BODY SIMULATION PROJECT-II. SUPPRESSING SAMPLE VARIANCE WITH FAST SIMULATIONS
Digital.CSIC. Repositorio Institucional del CSIC
- Ding, Zhejie
- Chuang, Chia-Hsun
- Yu, Yu
- Garrison, Lehman H.
- Bayer, Adrian E.
- Feng, Yu
- Modi, Chirag
- Eisenstein, Daniel J.
- White, Martin
- Variu, Andrei
- Zhao, Cheng
- Zhang, Hanyu
- Meneses Rizo, Jennifer
- Brooks, David
- Dawson, Kyle
- Doel, Peter
- Gaztañaga, Enrique
- Kehoe, Robert
- Krolewski, Alex
- Landriau, Martin
- Palanque-Delabrouille, Nathalie
- Poppett, Claire L.
Dark Energy Spectroscopic Instrument (DESI) will construct a large and precise three-dimensional map of our Universe. The survey effective volume reaches ∼20h−3Gpc3. It is a great challenge to prepare high-resolution simulations with a much larger volume for validating the DESI analysis pipelines. ABACUSSUMMIT is a suite of high-resolution dark-matter-only simulations designed for this purpose, with 200h−3Gpc3 (10 times DESI volume) for the base cosmology. However, further efforts need to be done to provide a more precise analysis of the data and to cover also other cosmologies. Recently, the CARPool method was proposed to use paired accurate and approximate simulations to achieve high statistical precision with a limited number of high-resolution simulations. Relying on this technique, we propose to use fast quasi-N-body solvers combined with accurate simulations to produce accurate summary statistics. This enables us to obtain 100 times smaller variance than the expected DESI statistical variance at the scales we are interested in, e.g. k<0.3hMpc−1
for the halo power spectrum. In addition, it can significantly suppress the sample variance of the halo bispectrum. We further generalize the method for other cosmologies with only one realization in ABACUSSUMMIT suite to extend the effective volume ∼20 times. In summary, our proposed strategy of combining high-fidelity simulations with fast approximate gravity solvers and a series of variance suppression techniques sets the path for a robust cosmological analysis of galaxy survey data., ZD and YY were supported by the National Key Basic Research and Development Program of China (No. 2018YFA0404504) and the National Science Foundation of China (grant nos. 11621303, 11890691, 11773048). LHG is supported by the Center for Computational Astrophysics at the Flatiron Institute, which is supported by the Simons Foundation. ABACUS development has been supported by NSF AST-1313285 and DOE-SC0013718, as well as by Harvard University start-up funds. This research is supported by the Director, Office of Science, Office of High Energy Physics of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231, and by the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility under the same contract; additional support for DESI is provided by the U.S. National Science Foundation, Division of Astronomical Sciences under Contract No. AST-0950945 to the NSF’s National Optical-Infrared Astronomy Research Laboratory; the Science and Technologies Facilities Council of the United Kingdom; the Gordon and Betty Moore Foundation; the Heising-Simons Foundation; the French Alternative Energies and Atomic Energy Commission (CEA); the National Council of Science and Technology of Mexico; the Ministry of Economy of Spain, and by the DESI Member Institutions., Peer reviewed
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1 Versiones
1 Versiones
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/331079
Dataset. 2022
THE DESI N-BODY SIMULATION PROJECT II: SUPPRESSING SAMPLE VARIANCE WITH FAST SIMULATIONS
Digital.CSIC. Repositorio Institucional del CSIC
- Ding, Zhejie
- Chuang, Chia-Hsun
- Yu, Yu
- Garrison, Lehman H.
- Bayer, Adrian E.
Supplementary material to DESI's publication "The DESI N-body Simulation Project II: Suppressing Sample Variance with Fast Simulations" to comply with the data management plan., We collect all the data and code needed to produce the figures in the paper. The data set mainly consists of halo two-point correlation function (CF), power spectra (Pk) and bispectra (Bk) from the AbacusSummit and FastPM simulations. For Pk, we include results from the base cosmology (c000), the secondary cosmology c002 and c004, respectively. For Pk and CF, we separate results with different halo mass cut 10^11 and 10^13 Msun/h. We provide python jupyter notebooks for the plotting routines. The subfolder "output" in each directory contains all the necessary data for the plots., ZD and YY were supported by the National Key Basic Research and Development Program of China (No. 2018YFA0404504) and the National Science Foundation of China (grant Nos. 11621303, 1189069, 111773048)., Peer reviewed
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