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CERN Document Server Намерени са 3 записа  Търсенето отне 0.68 секунди. 
1.
Snowmass2021 Cosmic Frontier White Paper: Puzzling Excesses in Dark Matter Searches and How to Resolve Them / Leane, Rebecca K. (SLAC ; KIPAC, Menlo Park) ; Shin, Seodong (Jeonbuk Natl. U.) ; Yang, Liang (UC, San Diego) ; Adhikari, Govinda (UC, San Diego) ; Alhazmi, Haider (Jazan U.) ; Aramaki, Tsuguo (Northeastern U.) ; Baxter, Daniel (Fermilab) ; Calore, Francesca (Annecy, LAPTH) ; Caputo, Regina (NASA, Goddard) ; Cholis, Ilias (Oakland U.) et al.
Intriguing signals with excesses over expected backgrounds have been observed in many astrophysical and terrestrial settings, which could potentially have a dark matter origin. [...]
arXiv:2203.06859 ; FERMILAB-CONF-22-191-PPD-T. - 57 p.
Fermilab Library Server - eConf - Fulltext - Fulltext
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2.
Snowmass2021 Cosmic Frontier White Paper: Ultraheavy particle dark matter / Carney, Daniel (LBL, Berkeley) ; Raj, Nirmal (TRIUMF) ; Bai, Yang (Wisconsin U., Madison) ; Berger, Joshua (Colorado State U., Fort Collins) ; Blanco, Carlos (Princeton U. ; Stockholm U., OKC) ; Bramante, Joseph (Unlisted, CA ; Perimeter Inst. Theor. Phys.) ; Cappiello, Christopher (Unlisted, CA) ; Dutra, Maíra (Ottawa Carleton Inst. Phys.) ; Ebadi, Reza (Maryland U.) ; Engel, Kristi (Maryland U.) et al.
We outline the unique opportunities and challenges in the search for "ultraheavy" dark matter candidates with masses between roughly $10~{\rm TeV}$ and the Planck scale $m_{\rm pl} \approx 10^{16}~{\rm TeV}$. This mass range presents a wide and relatively unexplored dark matter parameter space, with a rich space of possible models and cosmic histories. [...]
arXiv:2203.06508; FERMILAB-PUB-22-160-T.- 2023-11-06 - 17 p.
- Published in : SciPost Phys. Core: 6 (2023) , pp. 075 Fulltext: 2203.06508 - PDF; FERMILAB-PUB-22-160-T - PDF; Fulltext from Publisher: PDF; External links: Fermilab Library Server; eConf
In : 2021 Snowmass Summer Study, Seattle, WA, United States, 11 - 20 July 2021, pp.075
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3.
Snowmass2021 Cosmic Frontier: Modeling, statistics, simulations, and computing needs for direct dark matter detection / Kahn, Yonatan (Illinois U., Urbana) ; Monzani, Maria Elena (SLAC ; KIPAC, Menlo Park ; Vatican Astron. Observ.) ; Palladino, Kimberly J. (Oxford U.) ; Anderson, Tyler (SLAC ; KIPAC, Menlo Park) ; Bard, Deborah (LBL, Berkeley) ; Baxter, Daniel (Fermilab) ; Buuck, Micah (SLAC ; KIPAC, Menlo Park) ; Cartaro, Concetta (SLAC ; KIPAC, Menlo Park) ; Collar, Juan I. (Chicago U., EFI) ; Diamond, Miriam (Toronto U.) et al.
This paper summarizes the modeling, statistics, simulation, and computing needs of direct dark matter detection experiments in the next decade..
arXiv:2203.07700 ; FERMILAB-CONF-22-173-PPD. - 23.
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Виж също: автори с подобни имена
27 Lang, R
39 Lang, R F
2 Lang, R G
9 Lang, R H
4 Lang, R N
3 Lang, R.
4 Lang, R.F.
4 Lang, R.G.
12 Lang, R.N.
3 Lang, Rafael
7 Lang, Rafael F
1 Lang, Rafael Florian
1 Lang, Ralf
1 Lang, Reinhard
1 Lang, Richard
4 Lang, Robert
4 Lang, Robert J
1 Lang, Rodrigo
1 Lang, Rossano
2 Lang, Ruitian
2 Lang, Ruth
14 Lang, Ryan N
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