CMB-HD: Astro2020 RFI Response Article Swipe
Neelima Sehgal
,
Simone Aiola
,
Y. Akrami
,
Kaustuv Basu
,
Michael Boylan-Kolchin
,
Sean Bryan
,
Caitlin M. Casey
,
Sébastien Clesse
,
Francis-Yan Cyr-Racine
,
Luca Di Mascolo
,
Simon Dicker
,
Thomas Essinger-Hileman
,
Simone Ferraro
,
George M. Fuller
,
Nicholas Galitzki
,
Dongwon Han
,
Mathew Hasselfield
,
G. P. Holder
,
Bhuvnesh Jain
,
Bradley R. Johnson
,
Matthew C. Johnson
,
Pamela Klaassen
,
Amanda MacInnis
,
Mathew S. Madhavacheril
,
P. Mauskopf
,
P. Daniel Meerburg
,
Joel Meyers
,
Tony Mroczkowski
,
Suvodip Mukherjee
,
Moritz Münchmeyer
,
Sigurd Næss
,
Daisuke Nagai
,
Toshiya Namikawa
,
Laura Newburgh
,
Hồ Nam Nguyễn
,
Michael D. Niemack
,
Benjamin D. Oppenheimer
,
E. Pierpaoli
,
Emmanuel Schaan
,
Blake D. Sherwin
,
Anže Slosar
,
David N. Spergel
,
Eric R. Switzer
,
Pranjal Trivedi
,
Yu-Dai Tsai
,
Alexander van Engelen
,
B. D. Wandelt
,
Edward J. Wollack
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2002.12714
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2002.12714
CMB-HD is a proposed ultra-deep (0.5 uk-arcmin), high-resolution (15 arcseconds) millimeter-wave survey over half the sky that would answer many outstanding questions in both fundamental physics of the Universe and astrophysics. This survey would be delivered in 7.5 years of observing 20,000 square degrees, using two new 30-meter-class off-axis cross-Dragone telescopes to be located at Cerro Toco in the Atacama Desert. Each telescope would field 800,000 detectors (200,000 pixels), for a total of 1.6 million detectors.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2002.12714
- https://arxiv.org/pdf/2002.12714
- OA Status
- green
- Cited By
- 14
- References
- 67
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3008864083
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3008864083Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.2002.12714Digital Object Identifier
- Title
-
CMB-HD: Astro2020 RFI ResponseWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2020Year of publication
- Publication date
-
2020-02-28Full publication date if available
- Authors
-
Neelima Sehgal, Simone Aiola, Y. Akrami, Kaustuv Basu, Michael Boylan-Kolchin, Sean Bryan, Caitlin M. Casey, Sébastien Clesse, Francis-Yan Cyr-Racine, Luca Di Mascolo, Simon Dicker, Thomas Essinger-Hileman, Simone Ferraro, George M. Fuller, Nicholas Galitzki, Dongwon Han, Mathew Hasselfield, G. P. Holder, Bhuvnesh Jain, Bradley R. Johnson, Matthew C. Johnson, Pamela Klaassen, Amanda MacInnis, Mathew S. Madhavacheril, P. Mauskopf, P. Daniel Meerburg, Joel Meyers, Tony Mroczkowski, Suvodip Mukherjee, Moritz Münchmeyer, Sigurd Næss, Daisuke Nagai, Toshiya Namikawa, Laura Newburgh, Hồ Nam Nguyễn, Michael D. Niemack, Benjamin D. Oppenheimer, E. Pierpaoli, Emmanuel Schaan, Blake D. Sherwin, Anže Slosar, David N. Spergel, Eric R. Switzer, Pranjal Trivedi, Yu-Dai Tsai, Alexander van Engelen, B. D. Wandelt, Edward J. WollackList of authors in order
- Landing page
-
https://arxiv.org/abs/2002.12714Publisher landing page
- PDF URL
-
https://arxiv.org/pdf/2002.12714Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://arxiv.org/pdf/2002.12714Direct OA link when available
- Concepts
-
Cosmic microwave background, Sky, Physics, Telescope, Astronomy, Desert (philosophy), Astrophysics, Remote sensing, Pixel, Millimeter, Angular resolution (graph drawing), Detector, Optics, Geology, Philosophy, Epistemology, Anisotropy, Combinatorics, MathematicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
14Total citation count in OpenAlex
- Citations by year (recent)
-
2024: 4, 2023: 2, 2022: 3, 2021: 3, 2020: 2Per-year citation counts (last 5 years)
- References (count)
-
67Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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