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lenstronomy II: A gravitational lensing software ecosystem
/ Birrer, Simon (KIPAC, Menlo Park ; SLAC) ; Shajib, Anowar J. (Chicago U., Astron. Astrophys. Ctr. ; UCLA) ; Gilman, Daniel (Toronto U., Astron. Dept.) ; Galan, Aymeric (CERN ; Ecole Polytechnique, Lausanne) ; Aalbers, Jelle (KIPAC, Menlo Park ; SLAC) ; Millon, Martin (CERN ; Ecole Polytechnique, Lausanne) ; Morgan, Robert (Wisconsin U., Madison) ; Pagano, Giulia ; Park, Ji Won (KIPAC, Menlo Park ; SLAC) ; Teodori, Luca et al.
lenstronomy is an Astropy-affiliated Python package for gravitational lensing simulations and analyses. lenstronomy was introduced by Birrer and Amara (2018) and is based on the linear basis set approach by Birrer et a. [...]
arXiv:2106.05976.-
2021-06-08
- Published in : J. Open Source Softw. 6 (2021) 3283
Fulltext: 2106.05976 - PDF; document - PDF;
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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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23.
Fermilab Library Server - eConf - Fulltext - Fulltext
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Dark Sectors 2016 Workshop: Community Report
/ Alexander, Jim (Cornell U., Phys. Dept.) ; Battaglieri, Marco (INFN, Genoa) ; Echenard, Bertrand (Caltech) ; Essig, Rouven (SUNY, Stony Brook) ; Graham, Matthew (SLAC) ; Izaguirre, Eder (Perimeter Inst. Theor. Phys.) ; Jaros, John (SLAC) ; Krnjaic, Gordan (Fermilab) ; Mardon, Jeremy (Stanford U., Phys. Dept.) ; Morrissey, David (TRIUMF) et al.
This report, based on the Dark Sectors workshop at SLAC in April 2016, summarizes the scientific importance of searches for dark sector dark matter and forces at masses beneath the weak-scale, the status of this broad international field, the important milestones motivating future exploration, and promising experimental opportunities to reach these milestones over the next 5-10 years..
arXiv:1608.08632 ; FERMILAB-CONF-16-421.
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2016. - 66 p.
Fermilab Library Server (fulltext available) - Full text - Fulltext
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A Next-Generation Liquid Xenon Observatory for Dark Matter and Neutrino Physics
/ Aalbers, J. (SLAC ; KIPAC, Menlo Park) ; AbdusSalam, S.S. (Shahid Beheshti U.) ; Abe, K. (Kamioka Observ. ; Tokyo U., IPMU) ; Aerne, V. (Zurich U.) ; Agostini, F. (U. Bologna, DIFA ; INFN, Bologna) ; Maouloud, S. Ahmed (Paris U., VI-VII) ; Akerib, D.S. (SLAC ; KIPAC, Menlo Park) ; Akimov, D.Yu. (Moscow Phys. Eng. Inst.) ; Akshat, J. (Purdue U.) ; Musalhi, A.K. Al (Oxford U.) et al.
The nature of dark matter and properties of neutrinos are among the most pressing issues in contemporary particle physics. The dual-phase xenon time-projection chamber is the leading technology to cover the available parameter space for Weakly Interacting Massive Particles (WIMPs), while featuring extensive sensitivity to many alternative dark matter candidates. [...]
arXiv:2203.02309; INT-PUB-22-003; FERMILAB-PUB-22-112-PPD-QIS-T.-
2022-12-15 - 77 p.
- Published in : J. Phys. G 50 (2023) 013001
Fulltext: 2203.02309 - PDF; jt - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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Bayesian Optimization Algorithms for Accelerator Physics
/ Roussel, Ryan (SLAC) ; Edelen, Auralee L. (SLAC) ; Boltz, Tobias (SLAC) ; Kennedy, Dylan (SLAC) ; Zhang, Zhe (SLAC) ; Ji, Fuhao (SLAC) ; Huang, Xiaobiao (SLAC) ; Ratner, Daniel (SLAC) ; Garcia, Andrea Santamaria (KIT, Karlsruhe) ; Xu, Chenran (KIT, Karlsruhe) et al.
Accelerator physics relies on numerical algorithms to solve optimization problems in online accelerator control and tasks such as experimental design and model calibration in simulations. The effectiveness of optimization algorithms in discovering ideal solutions for complex challenges with limited resources often determines the problem complexity these methods can address. [...]
arXiv:2312.05667; FERMILAB-PUB-23-0846-AD.-
2024-08-01 - 42 p.
- Published in : Phys. Rev. Accel. Beams 27 (2024) 084801
Fulltext: 2312.05667 - PDF; FERMILAB-PUB-23-0846-AD - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
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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.
Fulltext
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Inflation: Theory and Observations
/ Achúcarro, Ana (Leiden U. ; Basque U., Bilbao) ; Biagetti, Matteo (SISSA, Trieste ; INFN, Trieste ; Trieste Observ.) ; Braglia, Matteo (Madrid, IFT ; Bologna Observ.) ; Cabass, Giovanni (Princeton, Inst. Advanced Study) ; Caldwell, Robert (Dartmouth Coll.) ; Castorina, Emanuele (Milan U.) ; Chen, Xingang (Harvard U.) ; Coulton, William (CCA, New York) ; Flauger, Raphael (UC, San Diego) ; Fumagalli, Jacopo (Madrid, IFT) et al.
Cosmic inflation provides a window to the highest energy densities accessible in nature, far beyond those achievable in any realistic terrestrial experiment. [...]
arXiv:2203.08128.
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103.
eConf - Fulltext
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