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25 April 2024 |
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Article overview
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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 | Abstract: | Cosmic 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 | Services: | Forum | Review | PDF | Favorites |
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