Results 11 to 20 of about 537,360 (131)

Out-of-field neutron radiation from clinical proton, helium, carbon, and oxygen ion beams. [PDF]

open access: yesMed Phys
Abstract Background In hadron therapy, out‐of‐field doses, which may in the long‐term cause secondary cancers, are mostly due to neutrons. Very recently, 4He and 16O beams have been added to protons and 12C ions for clinical therapy. Purpose The focus of this article is to compare secondary neutron doses produced by clinical protons, 4He, 12C, and 16O ...
Bolzonella M   +11 more
europepmc   +2 more sources

A comparative analysis of GEANT4, MCNP6 and FLUKA on proton-induced gamma-ray simulation. [PDF]

open access: yesMed Phys
Abstract Background Precise range verification is essential in proton therapy to minimize treatment margins due to the steep dose fall‐off of proton beams. The emission of secondary radiation from nuclear reactions between incident particles and tissues stands out as a promising method for range verification. Two prominent techniques are PET and Prompt
Freitas H, Nobakht E, Grüner F, Seco J.
europepmc   +2 more sources

An event generator for Lepton-Hadron deep inelastic scattering at NLO+PS with POWHEG including mass effects [PDF]

open access: yesJournal of High Energy Physics
We present a generator for lepton nucleon collisions in the DIS regime, focusing in particular on processes with a massive lepton and/or a massive quark in the final state.
L. Buonocore   +3 more
semanticscholar   +1 more source

An Updated Description of Heavy-Hadron Interactions in Geant-4 [PDF]

open access: yes, 2009
Exotic stable massive particles (SMP) are proposed in a number of scenarios of physics beyond the Standard Model. It is important that LHC experiments are able both to detect and extract the quantum numbers of any SMP with masses around the TeV scale. To
A. Arvanitaki   +37 more
core   +2 more sources

Deep Scattering Network with Max-pooling [PDF]

open access: yes2021 Data Compression Conference (DCC), 2021
Scattering network is a convolutional network, consisting of cascading convolutions using pre-defined wavelets followed by the modulus operator. Since its introduction in 2012, the scattering network is used as one of few mathematical tools explaining components of the convolutional neural networks (CNNs).
arxiv   +1 more source

Structure functions at large x [PDF]

open access: yes, 2001
Structure function data together with other measurements from fixed-target deep inelastic scattering and hadron-hadron collider experiments which contribute to our knowledge of the parton density functions are reviewed.
Adloff C (H1 Collaboration)   +14 more
core   +4 more sources

Scattering of mesons in quantum simulators [PDF]

open access: yesNew Journal of Physics, 2020
Simulating real-time evolution in theories of fundamental interactions represents one of the central challenges in contemporary theoretical physics. Cold-atom platforms stand as promising candidates to realize quantum simulations of non-perturbative ...
F. Surace, Alessio Lerose
semanticscholar   +1 more source

Diffraction at HERA and the Confinement Problem [PDF]

open access: yes, 2000
We discuss HERA data on the high energy behavior of the total gamma*p cross section and on diffraction in deep inelastic scattering. We outline their novelty in comparison with diffraction in high energy hadron hadron scattering.
Bartels, J., Kowalski, H.
core   +2 more sources

Multiple-scattering effects on incoherent neutron scattering in glasses and viscous liquids [PDF]

open access: yesPhys. Rev. E 62, 6531 (2000), 2000
Incoherent neutron scattering experiments are simulated for simple dynamic models: a glass (with a smooth distribution of harmonic vibrations) and a viscous liquid (described by schematic mode-coupling equations). In most situations multiple scattering has little influence upon spectral distributions, but it completely distorts the wavenumber-dependent
arxiv   +1 more source

Transforming the bootstrap: using transformers to compute scattering amplitudes in planar N=4 super Yang–Mills theory [PDF]

open access: yesMachine Learning: Science and Technology
We pursue the use of deep learning methods to improve state-of-the-art computations in theoretical high-energy physics. Planar N=4 Super Yang–Mills theory is a close cousin to the theory that describes Higgs boson production at the Large Hadron Collider;
Tianji Cai   +6 more
semanticscholar   +1 more source

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