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CMB-S4: Forecasting Constraints on Primordial Gravitational Waves
/ CMB-S4 Collaboration
CMB-S4---the next-generation ground-based cosmic microwave background (CMB) experiment---is set to significantly advance the sensitivity of CMB measurements and enhance our understanding of the origin and evolution of the Universe, from the highest energies at the dawn of time through the growth of structure to the present day. [...]
arXiv:2008.12619 ; FERMILAB-PUB-20-468-AE-SCD.
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24 p.
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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.
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57 p.
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Snowmass Theory Frontier: Astrophysics and Cosmology
/ Green, Daniel (UC, San Diego) ; Ruderman, Joshua T. (New York U., CCPP) ; Safdi, Benjamin R. (UC, Berkeley) ; Shelton, Jessie (Illinois U., Urbana) ; Achucarro, Ana (Leiden U.) ; Adshead, Peter (Illinois U., Urbana) ; Akrami, Yashar (Case Western Reserve U. ; Imperial Coll., London) ; Baryakhtar, Masha (Washington U., Seattle) ; Baumann, Daniel (Taiwan, Natl. Taiwan U. ; U. Amsterdam, GRAPPA) ; Berlin, Asher (Fermilab) et al.
We summarize progress made in theoretical astrophysics and cosmology over the past decade and areas of interest for the coming decade. [...]
arXiv:2209.06854 ; FERMILAB-PUB-22-721-T.
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57.
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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.
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Dark Matter Science in the Era of LSST
/ Bechtol, Keith (Wisconsin U., Madison) ; Drlica-Wagner, Alex (Chicago U., Astron. Astrophys. Ctr. ; Chicago U., KICP ; Fermilab) ; Abazajian, Kevork N. (UC, Irvine) ; Abidi, Muntazir (Cambridge U., DAMTP) ; Adhikari, Susmita (KIPAC, Menlo Park) ; Ali-Haïmoud, Yacine (New York U.) ; Annis, James (Fermilab) ; Ansarinejad, Behzad (Durham U.) ; Armstrong, Robert (LLNL, Livermore) ; Asorey, Jacobo (Queensland U. ; Unlisted, AU) et al.
Astrophysical observations currently provide the only robust, empirical measurements of dark matter. [...]
arXiv:1903.04425.
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2019. - 11 p.
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Gravitational probes of ultra-light axions
/ Grin, Daniel (Haverford Coll.) ; Amin, Mustafa A. (Rice U.) ; Gluscevic, Vera (Florida U. ; Princeton U.) ; Grin, Daniel (Haverford Coll.) ; Hlǒzek, Renée (Toronto U., Astron. Dept.) ; Marsh, David J.E. (Inst. Astrophys. Gottingen) ; Poulin, Vivian (U. Montpellier 2, LUPM ; Johns Hopkins U.) ; Prescod-Weinstein, Chanda (New Hampshire U.) ; Smith, Tristan L. (Swarthmore Coll.) ; Ahmed, Zeeshan (SLAC) et al.
The axion is a hypothetical, well-motivated dark-matter particle whose existence would explain the lack of charge-parity violation in the strong interaction. [...]
arXiv:1904.09003.
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17 p.
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Snowmass 2021 Computational Frontier CompF03 Topical Group Report: Machine Learning
/ Shanahan, Phiala (MIT) ; Terao, Kazuhiro (SLAC) ; Whiteson, Daniel (UC, Irvine) ; Aarts, Gert (Swansea U. ; ECT, Trento ; Fond. Bruno Kessler, Trento) ; Adelmann, Andreas (Northeastern U. ; PSI, Villigen) ; Akchurin, N. (Texas Tech.) ; Alexandru, Andrei (George Washington U. ; Maryland U.) ; Amram, Oz (Johns Hopkins U.) ; Andreassen, Anders (Google Inc.) ; Apresyan, Artur (Fermilab) et al.
The rapidly-developing intersection of machine learning (ML) with high-energy physics (HEP) presents both opportunities and challenges to our community. [...]
arXiv:2209.07559 ; FERMILAB-CONF-22-719-ND-PPD-QIS-SCD.
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New Horizons: Scalar and Vector Ultralight Dark Matter
/ Antypas, D. (Mainz U. ; Helmholtz Inst., Mainz) ; Banerjee, A. (Weizmann Inst.) ; Bartram, C. (Washington U., Seattle) ; Baryakhtar, M. (Washington U., Seattle) ; Betz, J. (U. Delaware, Newark) ; Bollinger, J.J. (NIST, Boulder) ; Boutan, C. (PNL, Richland) ; Bowring, D. (Fermilab) ; Budker, D. (Helmholtz Inst., Mainz ; Mainz U. ; UC, Berkeley) ; Carney, D. (LBL, Berkeley) et al.
The last decade has seen unprecedented effort in dark matter model building at all mass scales coupled with the design of numerous new detection strategies. [...]
arXiv:2203.14915 ; FERMILAB-PUB-22-262-AD-PPD-T.
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89.
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