Journal article
Emulating Simulations of Cosmic Dawn for 21 cm Power Spectrum Constraints on Cosmology, Reionization, and X-Ray Heating
NS Kern, A Liu, AR Parsons, A Mesinger, B Greig
Astrophysical Journal | IOP Publishing Ltd | Published : 2017
Abstract
Current and upcoming radio interferometric experiments are aiming to make a statistical characterization of the high-redshift 21 cm fluctuation signal spanning the hydrogen reionization and X-ray heating epochs of the universe. However, connecting 21 cm statistics to the underlying physical parameters is complicated by the theoretical challenge of modeling the relevant physics at computational speeds quick enough to enable exploration of the high-dimensional and weakly constrained parameter space. In this work, we use machine learning algorithms to build a fast emulator that can accurately mimic an expensive simulation of the 21 cm signal across a wide parameter space. We embed our emulator ..
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Awarded by National Science Foundation
Funding Acknowledgements
The authors would like to thank Grigor Aslanyan, Michael Betancourt, Josh Dillon, Danny Goldstein, Raul Monsalve, Danny Jacobs, Uros Seljak, and Martin White for helpful discussions. A.M. and B.G. acknowledge funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation program (Grant Agreement No. 638809: AIDA). A.L., A.R.P., and N.S.K. acknowledge support from the University of California Office of the President Multicampus Research Programs and Initiatives through award MR-15-328388, as well as from NSF CAREER award No. 1352519, NSF AST grant No. 1129258, NSF AST grant No. 1410719, and NSF AST grant No. 1440343. A.L. acknowledges support for this work by NASA through Hubble Fellowship grant #HST-HF2-51363.001-A awarded by the Space Telescope Science Institute, which is operated by the Association of Universities for Research in Astronomy, Inc., for NASA, under contract NAS5-26555. This research used resources of the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231.