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25 April 2024
 
  » arxiv » 1903.4580

 Article overview



Mapping Cosmic Dawn and Reionization: Challenges and Synergies
Marcelo A. Alvarez ; Anastasia Fialkov ; Paul La Plante ; James Aguirre ; Yacine Ali-Haïmoud ; George Becker ; Judd Bowman ; Patrick Breysse ; Volker Bromm ; Philip Bull ; Jack Burns ; Nico Cappelluti ; Isabella Carucci ; Tzu-Ching Chang ; Kieran Cleary ; Asantha Cooray ; Xuelei Chen ; Hsin Chiang ; Joanne Cohn ; David DeBoer ; Joshua Dillon ; Olivier Doré ; Cora Dvorkin ; Simone Ferraro ; Steven Furlanetto ; Bryna Hazelton ; J. Colin Hill ; Daniel Jacobs ; Kirit Karkare ; Garrett K. Keating ; Léon Koopmans ; Ely Kovetz ; Adam Lidz ; Adrian Liu ; Yin-Zhe Ma ; Yi Mao ; Kiyoshi Masui ; Matthew McQuinn ; Jordan Mirocha ; Julian Muñoz ; Steven Murray ; Aaron Parsons ; Jonathan Pober ; Benjamin Saliwanchik ; Jonathan Sievers ; Nithyanandan Thyagarajan ; Hy Trac ; Alexey Vikhlinin ; Eli Visbal ; Matias Zaldarriaga ;
Date 11 Mar 2019
AbstractCosmic dawn and the Epoch of Reionization (EoR) are among the least explored observational eras in cosmology: a time at which the first galaxies and supermassive black holes formed and reionized the cold, neutral Universe of the post-recombination era. With current instruments, only a handful of the brightest galaxies and quasars from that time are detectable as individual objects, due to their extreme distances. Fortunately, a multitude of multi-wavelength intensity mapping measurements, ranging from the redshifted 21 cm background in the radio to the unresolved X-ray background, contain a plethora of synergistic information about this elusive era. The coming decade will likely see direct detections of inhomogenous reionization with CMB and 21 cm observations, and a slew of other probes covering overlapping areas and complementary physical processes will provide crucial additional information and cross-validation. To maximize scientific discovery and return on investment, coordinated survey planning and joint data analysis should be a high priority, closely coupled to computational models and theoretical predictions.
Source arXiv, 1903.4580
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