Results 41 to 50 of about 3,308,332 (358)
Particle Physics Instrumentation [PDF]
arXiv: Instrumentation and Detectors, 2017 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 +3 more sources
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. +13 more
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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 +2 more
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ΔA CP within the Standard Model and beyond
Journal of High Energy Physics, 2019 In light of the recent LHCb observation of CP violation in the charm sector, we review standard model (SM) predictions in the charm sector and in particular for ΔA CP.
Mikael Chala +3 more
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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 +2 more
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MultiNest: an efficient and robust Bayesian inference tool for cosmology and particle physics [PDF]
, 2008 We present further development and the first public release o f our multimodal nested sampling algorithm, called MULTINEST. This Bayesian inference tool calculates the evidence, with an associated error estimate, and produces posterior s amples from ...
F. Feroz, M. Hobson, M. Bridges
semanticscholar +1 more source
JUNIPR: a framework for unsupervised machine learning in particle physics [PDF]
The European Physical Journal C, 2018 In applications of machine learning to particle physics, a persistent challenge is how to go beyond discrimination to learn about the underlying physics.
Anders Andreassen +3 more
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Phenomenology of ELDER dark matter
Journal of High Energy Physics, 2017 We explore the phenomenology of Elastically Decoupling Relic (ELDER) dark matter. ELDER is a thermal relic whose present density is determined primarily by the cross-section of its elastic scattering off Standard Model (SM) particles.
Eric Kuflik +3 more
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Particle Physics and Inflationary Cosmology [PDF]
Physics today, 1987 With the invention of unified theories of strong, weak, electromagnetic and gravitational interactions, elementaryparticle physics has entered a very interesting and unusual stage of its development.
Andrei Linde
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The physics of respiratory particle generation, fate in the air, and inhalation
Nature Reviews Physics, 2022 Given that breathing is one of the most fundamental physiological functions, there is an urgent need to broaden our understanding of the fluid dynamics that governs it.
L. Morawska +3 more
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