Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Daniele Massaro"'
Autor:
Rouzbeh Allahverdi, Chiara Arina, Marco Chianese, Michele Cicoli, Fabio Maltoni, Daniele Massaro, Jacek K. Osiński
Publikováno v:
Journal of High Energy Physics, Vol 2024, Iss 2, Pp 1-31 (2024)
Abstract We study the phenomenology of superheavy decaying dark matter with mass around 1010 GeV which can arise in the low-energy limit of string compactifications. Generic features of string theory setups (such as high scale supersymmetry breaking
Externí odkaz:
https://doaj.org/article/88b689c2329c409ab555f04dd9ab73f4
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The three-dimensional turbulent flow around a Flettner rotor, i.e. an engine-driven rotating cylinder in an atmospheric boundary layer, is studied via direct numerical simulations (DNS) for three different rotation speeds ( $$\alpha$$ α ).
Externí odkaz:
https://doaj.org/article/1e00393307f44eb8a4538d001ffcaf0a
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-14 (2023)
Abstract Information theory (IT) provides tools to estimate causality between events, in various scientific domains. Here, we explore the potential of IT-based causality estimation in turbulent (i.e. chaotic) dynamical systems and investigate the imp
Externí odkaz:
https://doaj.org/article/da1b7f76e49f45129ea9988a15634c54
Autor:
Martina Mongillo, Asli Abdullahi, Benjamin Banto Oberhauser, Paolo Crivelli, Matheus Hostert, Daniele Massaro, Laura Molina Bueno, Silvia Pascoli
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 83, Iss 5, Pp 1-14 (2023)
Abstract A vector portal between the Standard Model and the dark sector is a predictive and compelling framework for thermal dark matter. Through co-annihilations, models of inelastic dark matter (iDM) and inelastic Dirac dark matter (i2DM) can repro
Externí odkaz:
https://doaj.org/article/8f1e6c51b2e644e084e0160918f5fcc4
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 83, Iss 3, Pp 1-23 (2023)
Abstract Automated tools for the computation of particle physics’ processes have become the backbone of phenomenological studies beyond the standard model. Here, we present MadDM v3.2. This release enables the fully automated computation of loop-in
Externí odkaz:
https://doaj.org/article/1d33e71d09a247039e9494da588590bb
Publikováno v:
International Journal of Heat and Fluid Flow. 102:109144
Publikováno v:
The European physical journal / C 83(3), 241 (2023). doi:10.1140/epjc/s10052-023-11377-2
DIAL
Eur. Phys. J. C, Vol. 83, p. 241
European Physical Journal
DIAL
Eur. Phys. J. C, Vol. 83, p. 241
European Physical Journal
Automated tools for the computation of particle physics' processes have become the backbone of phenomenological studies beyond the standard model. Here, we present MadDM v3.2. This release enables the fully automated computation of loop-induced dark-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c7bc1312794a815d54dcdb221ef2b692
https://publications.rwth-aachen.de/record/959902
https://publications.rwth-aachen.de/record/959902
Publikováno v:
INSPIRE-HEP
In rich dark sector models, dark photons heavier than tens of MeV can behave as semi-visible particles: their decays contain both visible and invisible final states. We present models containing multiple dark fermions which allow for such decays and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20ee96101fd97e1baee2b5169cd08333
Autor:
Daniele Massaro, Jiahui Liu, Martin Karp, Niclas Jansson, Ingemar Markström, Stefano Markidis, Tino Weinkauf, Philipp Schlatter
Publikováno v:
75th Annual Meeting of the APS Division of Fluid Dynamics - Gallery of Fluid Motion.
Autor:
Daniele Massaro
We reconsider kinetically mixed dark photons as an explanation of the (g-2)μ anomaly. While fully visible and invisible dark photon decays are excluded, a semi-visible solution can still explain the discrepancy. We explicitly re-evaluate the constra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::726eae24f2177ef882902ec7afc0237e