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Emulating Simulations of Cosmic Dawn for 21 cm Power Spectrum Constraints on Cosmology, Reionization, and X-Ray Heating

Journal Article · · Astrophysical Journal
; ;  [1]; ;  [2]
  1. Department of Astronomy and Radio Astronomy Laboratory, University of California Berkeley, Berkeley, CA 94720 (United States)
  2. Scuola Normale Superiore, Piazza dei Cavalieri 7, I-56126 Pisa (Italy)
+ Show Author Affiliations

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 within a Markov Chain Monte Carlo framework in order to perform Bayesian parameter constraints over a large number of model parameters, including those that govern the Epoch of Reionization, the Epoch of X-ray Heating, and cosmology. As a worked example, we use our emulator to present an updated parameter constraint forecast for the Hydrogen Epoch of Reionization Array experiment, showing that its characterization of a fiducial 21 cm power spectrum will considerably narrow the allowed parameter space of reionization and heating parameters, and could help strengthen Planck's constraints on σ{sub 8}. We provide both our generalized emulator code and its implementation specifically for 21 cm parameter constraints as publicly available software.

OSTI ID:
22875711
Journal Information:
Astrophysical Journal, Vol. 848, Issue 1; Other Information: Country of input: International Atomic Energy Agency (IAEA); ISSN 0004-637X
Country of Publication:
United States
Language:
English

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Cited By (16)

Neural Network Emulation of Reionization Simulations October 2017
Evaluating machine learning techniques for predicting power spectra from reionization simulations November 2018
Massive optimal data compression and density estimation for scalable, likelihood-free inference in cosmology March 2018
Improved supervised learning methods for EoR parameters reconstruction September 2019
Global 21 cm Signal Extraction from Foreground and Instrumental Effects. I. Pattern Recognition Framework for Separation Using Training Sets February 2018
Results from EDGES High-band. II. Constraints on Parameters of Early Galaxies August 2018
Mitigating Internal Instrument Coupling for 21 cm Cosmology. I. Temporal and Spectral Modeling in Simulations October 2019
Mitigating Internal Instrument Coupling for 21 cm Cosmology. II. A Method Demonstration with the Hydrogen Epoch of Reionization Array January 2020
Fundamental physics with the Square Kilometre Array January 2020
Evaluating the QSO contribution to the 21-cm signal from the Cosmic Dawn May 2019
Inferring the astrophysics of reionization and cosmic dawn from galaxy luminosity functions and the 21-cm signal January 2019
How proper are Bayesian models in the astronomical literature? August 2018
Inferring the astrophysics of reionization and cosmic dawn from galaxy luminosity functions and the 21-cm signal January 2018
Fundamental Physics with the Square Kilometre Array January 2018
Robust Velocity-induced Acoustic Oscillations at Cosmic Dawn January 2019
Mitigating Internal Instrument Coupling for 21 cm Cosmology I: Temporal and Spectral Modeling in Simulations January 2019

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