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, 2004 In this astro-particle lecture course I shall try to emphasize evidence of the new physics which we have in cosmological and astrophysical data. This includes support of the inflationary model, necessity of dark energy and of non-baryonic dark matter, the Grizen-Zatsepin-Kuzmin puzzle of the ultra-high energy cosmic rays.
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Consequences of minimal seesaw with complex μτ antisymmetry of neutrinos
Journal of High Energy Physics, 2018 We propose a complex extension of μτ permutation antisymmetry in the neutrino Majorana matrix M ν . The latter can be realized for the Lagrangian by appropriate CP transformations on the neutrino fields.
Rome Samanta, Probir Roy, Ambar Ghosal
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Two component WIMP–FImP dark matter model with singlet fermion, scalar and pseudo scalar
European Physical Journal C: Particles and Fields, 2017 We explore a two component dark matter model with a fermion and a scalar. In this scenario the Standard Model (SM) is extended by a fermion, a scalar and an additional pseudo scalar.
Amit Dutta Banik +3 more
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What can cosmic-ray knees reveal about source populations?
Astronomy & AstrophysicsContext. Breaks in the cosmic-ray (CR) flux spectrum encode information on the properties of CR accelerator populations producing the observed flux.
Falalaki Myrto, Pavlidou Vasiliki
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The ARGO-YBJ legacy to next generation wide field-of-view experiments
EPJ Web of Conferences, 2017 The ARGO-YBJ experiment has been in stable data taking for more than 5 years at the YangBaJing Cosmic Ray Observatory (Tibet, P.R. China, 4300 m a.s.l., 606 g/cm2).
Di Sciascio Giuseppe
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Machine Learning: Science and TechnologyArtificial intelligence (AI) is transforming scientific research, with deep learning methods playing a central role in data analysis, simulations, and signal detection across particle, nuclear, and astroparticle physics.
Sascha Caron +18 more
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Information Field Theory for Two Applications in Astroparticle Physics
ParticlesInformation field theory (IFT) provides a powerful framework for reconstructing continuous fields from noisy and sparse data. Based on Bayesian statistics, IFT allows for the approximation of posterior distributions over field-like parameter spaces in ...
Martin Erdmann +5 more
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Neutrino masses in astroparticle physics
New Astronomy Reviews, 2002 Contribution to Dennis Sciama Memorial Volume of NAR, additional references and reference updates in revised ...
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High-density gas target at the LHCb experiment
Physical Review Accelerators and BeamsThe recently installed internal gas target at LHCb presents exceptional opportunities for an extensive physics program for heavy-ion, hadron, spin, and astroparticle physics.
O. Boente Garcia +34 more
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Pattern Recognition with Artificial Intelligence in Space Experiments
ParticlesThe application of advanced Artificial Intelligence (AI) techniques in astroparticle experiments represents a major advancement in both data analysis and experimental design.
Federica Cuna +3 more
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