Results 101 to 110 of about 448 (172)

Diffuse neutrino background from past core collapse supernovae. [PDF]

Proc Jpn Acad Ser B Phys Biol Sci, 2023
Ando S, Ekanger N, Horiuchi S, Koshio Y.
europepmc   +1 more source

Mediterranean Neutrino Telescopes [PDF]

Proceedings of Frontiers of Fundamental Physics 14 — PoS(FFP14), 2016
openaire   +2 more sources

Playing with lepton asymmetry at the resonant production of sterile neutrino dark matter

Physics Letters B
We examine the sterile neutrino dark matter production in the primordial plasma with lepton asymmetry unequally distributed over different neutrino flavors.
Dmitry Gorbunov, Dmitry Kalashnikov, George Krugan   +2 more
doaj   +1 more source

Pushing the limits of detectability: mixed dark matter from strong gravitational lenses. [PDF]

Mon Not R Astron Soc, 2023
Keeley RE, Nierenberg AM, Gilman D, Birrer S, Benson A, Treu T.   +5 more
europepmc   +1 more source

Multiplexed Readout for an Experiment with a Large Number of Channels Using Single-Electron Sensitivity Skipper-CCDs. [PDF]

Sensors (Basel), 2022
Chavez CR, Chierchie F, Sofo-Haro M, Lipovetzky J, Fernandez-Moroni G, Estrada J.   +5 more
europepmc   +1 more source

Search for dark matter from the center of the Earth with 10 years of IceCube data

European Physical Journal C: Particles and Fields
The nature of dark matter remains unresolved in fundamental physics. Weakly Interacting Massive Particles (WIMPs), which could explain the nature of dark matter, can be captured by celestial bodies like the Sun or Earth, leading to enhanced self ...
IceCube data collaboration
doaj   +1 more source

Fast Coincidence Filter for Silicon Photomultiplier Dark Count Rate Rejection. [PDF]

Sensors (Basel)
Real D, Calvo D, Zornoza JD, Manzaneda M, Gozzini R, Ricolfe-Viala C, Lajara R, Albiol F.   +7 more
europepmc   +1 more source

Scientific program for the Forward Physics Facility. [PDF]

Eur Phys J C Part Fields
Adhikary J, Anchordoqui LA, Ariga A, Ariga T, Barr AJ, Batell B, Bian J, Boyd J, Citron M, De Roeck A, Diwan MV, Feng JL, Hill CS, Jeong YS, Kling F, Linden S, Mäkelä T, Mavrokoridis K, McFayden J, Otono H, Rojo J, Soldin D, Stasto A, Trojanowski S, Vicenzi M, Wu W.   +25 more
europepmc   +1 more source

Applications and Techniques for Fast Machine Learning in Science. [PDF]

Front Big Data, 2022
Deiana AM, Tran N, Agar J, Blott M, Di Guglielmo G, Duarte J, Harris P, Hauck S, Liu M, Neubauer MS, Ngadiuba J, Ogrenci-Memik S, Pierini M, Aarrestad T, Bähr S, Becker J, Berthold AS, Bonventre RJ, Müller Bravo TE, Diefenthaler M, Dong Z, Fritzsche N, Gholami A, Govorkova E, Guo D, Hazelwood KJ, Herwig C, Khan B, Kim S, Klijnsma T, Liu Y, Lo KH, Nguyen T, Pezzullo G, Rasoulinezhad S, Rivera RA, Scholberg K, Selig J, Sen S, Strukov D, Tang W, Thais S, Unger KL, Vilalta R, von Krosigk B, Wang S, Warburton TK.   +46 more
europepmc   +1 more source

Electromagnetic follow-up of gravitational waves: review and lessons learned. [PDF]

Philos Trans A Math Phys Eng Sci
Nicholl M, Andreoni I.
europepmc   +1 more source