Results 21 to 30 of about 170,044 (337)
Improving heavy dijet resonance searches using jet substructure at the LHC
European Physical Journal C: Particles and Fields, 2021 The search for new physics at high energy accelerators has been at the crossroads with very little hint of signals suggesting otherwise. The challenges at a hadronic machine such as the LHC is compounded by the fact that final states are swamped with ...
Aruna Kumar Nayak +2 more
doaj +1 more source
Literature Review of Suspension Systems for Superconducting Elements
Machines, 2023 When designing suspension systems for superconducting elements, the primary challenge is to strike a balance between limiting the heat load to the cold mass and ensuring the proper mechanical resistance and/or stiffness of the system.
Luca Piacentini +5 more
doaj +1 more source
Search for Neutrino Mass and Dark Matter in Underground Experiments [PDF]
, 2002 Search for the neutrino mass and for cold dark matter in the Universe are at present two of the most exciting fields of particle physics and cosmology.
Klapdor-Kleingrothaus, H. V.
core +2 more sources
High-Intensity Synchrotron Radiation Effects [PDF]
, 2016 Various effects of intense synchrotron radiation on the performance of particle accelerators, especially for storage rings, are discussed. Following a brief introduction to synchrotron radiation, the basic concepts of heat load, gas load, electron ...
Suetsugu, Y.
core +3 more sources
Differentiable Earth mover’s distance for data compression at the high-luminosity LHC
Machine Learning: Science and Technology, 2023 The Earth mover’s distance (EMD) is a useful metric for image recognition and classification, but its usual implementations are not differentiable or too slow to be used as a loss function for training other algorithms via gradient descent. In this paper,
Rohan Shenoy +7 more
doaj +1 more source
Neural Networks for Modeling and Control of Particle Accelerators
, 2016 We describe some of the challenges of particle accelerator control, highlight recent advances in neural network techniques, discuss some promising avenues for incorporating neural networks into particle accelerator control systems, and describe a neural ...
Biedron, S. G. +5 more
core +1 more source
The future of particle physics [PDF]
, 2006 I review the prospects for future progress in accelerator-based particle physicsComment: Opening talk at the 10th Pisa meeting on advanced detectors, La Biodola, May 22-27 ...
Mangano, Michelangelo
core +3 more sources
Natural SUSY at LHC with right-sneutrino LSP
Journal of High Energy Physics, 2018 We study an extension of the minimal supersymmetric standard model (MSSM) with additional right-handed singlet neutrino superfields. While such an extension incorporates a mechanism for the neutrino mass, it also opens up the possibility of having the ...
Arindam Chatterjee +2 more
doaj +1 more source
Beam-Induced Damage Mechanisms and their Calculation [PDF]
, 2016 The rapid interaction of highly energetic particle beams with matter induces dynamic responses in the impacted component. If the beam pulse is sufficiently intense, extreme conditions can be reached, such as very high pressures, changes of material ...
Bertarelli, A.
core +3 more sources
Beta-decay spectroscopy of r-process nuclei around N = 126
EPJ Web of Conferences, 2016 KEK Isotope Separation System (KISS) has been developed at RIKEN to study the β-decay properties of neutron-rich isotopes with neutron numbers around N = 126 to understand the astrophysical site of r-process.
Hirayama Y. +15 more
doaj +1 more source