Results 41 to 50 of about 5,283,131 (297)

Fast inference of deep neural networks in FPGAs for particle physics [PDF]

Journal of Instrumentation, 2018
Recent results at the Large Hadron Collider (LHC) have pointed to enhanced physics capabilities through the improvement of the real-time event processing techniques.
Javier Mauricio Duarte, Song Han, P. Harris, S. Jindariani, E. Kreinar, B. Kreis, J. Ngadiuba, M. Pierini, R. Rivera, N. Tran, Zhenbin Wu   +10 more
semanticscholar   +1 more source

Particle Physics and Cosmology [PDF]

Progress of Theoretical Physics Supplement, 1985
With the invention of unified theories of strong, weak, electromagnetic and gravitational interactions, elementary particle physics has entered a very interesting and unusual stage of its development. It appears that in the context of these theories we can predict much more than we can actually verify by the standard experimental methods of high energy
Andrei D. Linde, Andrei D. Linde
openaire   +2 more sources

Solar neutrino probes of the muon anomalous magnetic moment in the gauged U 1 L μ − L τ $$ \mathrm{U}{(1)}_{L_{\mu }-{L}_{\tau }} $$

Journal of High Energy Physics, 2020
Models of gauged U 1 L μ − L τ $$ \mathrm{U}{(1)}_{L_{\mu }-{L}_{\tau }} $$ can provide a solution to the long-standing discrepancy between the theoretical prediction for the muon anomalous magnetic moment and its measured value.
D. W. P. Amaral, D. G. Cerdeño, P. Foldenauer, E. Reid   +3 more
doaj   +1 more source

Non-factorizable virtual corrections to Higgs boson production in weak boson fusion beyond the eikonal approximation

Journal of High Energy Physics, 2023
Non-factorizable virtual corrections to Higgs boson production in weak boson fusion at next-to-next-to-leading order in QCD were estimated in the eikonal approximation [1]. This approximation corresponds to the expansion of relevant amplitudes around the
Ming-Ming Long, Kirill Melnikov, Jérémie Quarroz   +2 more
doaj   +1 more source

Particle Physics Instrumentation [PDF]

arXiv: Instrumentation and Detectors, 2014
This reports summarizes the three lectures on particle physics instrumentation given during the AEPSHEP school in November 2014 at Puri-India. The lectures were intended to give an overview of the interaction of particles with matter and basic particle detection principles in the context of large detector systems like the Large Hadron Collider.
openaire   +4 more sources

Scale dependence of non-factorizable virtual corrections to Higgs boson production in weak boson fusion

Journal of High Energy Physics, 2023
The renormalization-scale dependence of the non-factorizable virtual corrections to Higgs boson production in weak boson fusion at next-to-next-to-leading order in perturbative QCD is unusually strong, due to the peculiar nature of these corrections.
Christian Brønnum-Hansen, Ming-Ming Long, Kirill Melnikov   +2 more
doaj   +1 more source

Machine and deep learning applications in particle physics [PDF]

International Journal of Modern Physics A, 2019
The many ways in which machine and deep learning are transforming the analysis and simulation of data in particle physics are reviewed. The main methods based on boosted decision trees and various types of neural networks are introduced, and cutting-edge
D. Bourilkov
semanticscholar   +1 more source

Comparing particle-particle and particle-hole channels of random-phase approximation [PDF]

Phys. Rev. B 99, 195149 (2019), 2019
We present a comparative study of particle-hole and particle-particle channels of random-phase approximation (RPA) for molecular dissociations of different bonding types. We introduced a \textit{direct} particle-particle RPA scheme, in analogy to the \textit{direct} particle-hole RPA formalism, whereby the exchange-type contributions are excluded. This
arxiv   +1 more source

Review of Particle Physics

Physical Review D, 2018
The complete Review(both volumes) is published online on the website of the Particle Data Group(http://pdg.lbl.gov) and in a journal. Volume 1 is available in print as thePDG Book.
M. Tanabashi, Peter J. Richardson, A. Bettini, A. Vogt, L. Garren, A. Schwartz, K. Terashi, M. Karliner, R. Chivukula, T. Sjöstrand, J. Beringer, S. Bethke, G. Gerbier, P. Nason, H. Dreiner, Y. Kwon, J. Beatty, E. Pianori, M. Silari, J. Peacock, A. Cerri, A. D. Gouvea, R. Zhu, C. Bauer, T. Mannel, T. Liss, M. Pennington, D. Tovey, Fabio Sauli, K. Johnson, Stephene R. Sharpe, C. Hanhart, T. Sumiyoshi, J. Anderson, H. Baer, J. Matthews, H. Gallagher, D. Chakraborty, T. DeGrand, L. Wiencke, H. Haber, A. Hocker, F. Moortgat, M. Antonelli, A. Quadt, J. Tanaka, P. A. Zyla, G. Venanzoni, Y. Hayato, G. D'Ambrosio, C. Sachrajda, U. Thoma, G. Rybka, D. Groom, M. Neubert, G. P. Salam, H. Bichsel, E. Weinberg, K. Hikasa, A. Pomarol, P. Skands, S. Navas, D. Wands, A. Freitas, G. Aielli, Z. Ligeti, A. Ringwald, P. Nevski, T. Shutt, M. Titov, T. Hyodo, D. Weinberg, S. Stone, K. Agashe, A. Masoni, O. Buchmuller, Douglas Scott, S. L. Zhu, L. Fuller, S. Griso, Alan D. Martin, K. S. Lugovsky, H. Murayama, K. Hagiwara, R. Ryutin, M. Drees, C. Grab, S. Banerjee, B. Fields, M. Goodman, M. A. Bychkov, B. Heltsley, D. Dwyer, T. Basaglia, Chunqing Lin, D. Florian, G. Raffelt, H. Spieler, F. Zimmermann, J. Rademacker, S. Rolli, C. Grojean, Burkert, C. Amsler, J. Lesgourgues, T. Gutsche, J. Erler, K. Mönig, G. Valencia, Y. Gershtein, J. Terning, J. Smith, J. Womersley, A. Lusiani, J. Ellis, Y. Sakai, A. Piepke, E. Klempt, A. Stahl, K. D. Irwin, A. Gritsan, P. Eerola, V. Petrov, G. Smoot, S. Sarkar, G. Zeller, W. J. Marciano, K. Olive, C. Patrignani, R. L. Workman, F. Maltoni, G. Dissertori, Y. Sumino, C. Spiering, Yu. V. Kuyanov, U. Meißner, M. Carena, B. Krusche, R. Mitchell, T. Gershon, F. Krauss, M. Narain, N. Varelas, W. Walkowiak, Ezhela, K. Hayes, A. Ceccucci, Stefan Roesler, F. Takahashi, J. Hisano, P. Vogel, M. Wascko, L. Verde, S. Petcov, M. Syphers, V. Belousov, O. Lahav, O. Zenin, C. Woody, A. Liddle, M. D’Onofrio, M. Kado, O. Dahl, S. Klein, M. Moskovic, D. Asner, A. Gurtu, D. Ward, M. C. Chen, S. Heinemeyer, R. Kowalewski, A. Godizov, D. Milstead, M. Vincter, S. Eidelman, R. Firestone, L. Rosenberg, M. Grünewald, K. Black, N. P. Tkachenko, B. Dobrescu, T. Gherghetta, W. Yao, S. Willocq, R. Barnett, A. Holtkamp, L. Littenberg, M. Kreps, R. Thorne, O. Schneider, P. Molaro, W. Fetscher, J. Holder, N. Tornqvist, E. Blucher, P. Schaffner, U. Katz, A. Romaniouk, P. D. Jong, B. Foster, Sharma, S. Hashimoto, K. Scholberg, R. D. Water, T. Skwarnicki, C. Walter, J. Parsons, G. Weiglein, R. Cahn, C. Wohl, J. Rosner, V. S. Lugovsky, B. Ratcliff, Martin White, Y. Nir, H. Gerber, S. Wakely, C. Lippmann, J. Laiho, O. Biebel, J. Hernández-Rey, T. Damour, G. Cowan, Y. Makida, L. Tiator, M. Doser, S. Spanier, S. Lugovsky, A. Hebecker, Kei Nakamura, A. Manohar   +230 more
semanticscholar   +1 more source

GRBNeT – A prototype for an autonomous underwater neutrino detector

EPJ Web of Conferences, 2016
GRBNeT is a project aiming at the detection of ultra–high energy neutrinos, for example neutrinos originating from Gamma Ray Bursts. The goal is to design, construct and deploy a prototype unit of an autonomous (data/energy–wise) neutrino detector. Being
Pikounis K., Markou C., Anassontzis E.G., Androulakis G., Bagatelas C., Balasi K., Belias A., Damianos P., Drakopoulou E., Kappos E., Manolopoulos K., Rapidis P., Tzamariudaki E., Voulgaris G.   +13 more
doaj   +1 more source