Results 21 to 30 of about 1,573,388 (253)

Primordial gravitational waves in a minimal model of particle physics and cosmology [PDF]

Journal of Cosmology and Astroparticle Physics, 2020
In this paper we analyze the spectrum of the primordial gravitational waves (GWs) predicted in the Standard Model*Axion*Seesaw*Higgs portal inflation (SMASH) model, which was proposed as a minimal extension of the Standard Model that addresses five ...
A. Ringwald, K. Saikawa, C. Tamarit
semanticscholar   +1 more source

Machine learning-based jet and event classification at the Electron-Ion Collider with applications to hadron structure and spin physics [PDF]

Journal of High Energy Physics, 2022
We explore machine learning-based jet and event identification at the future Electron-Ion Collider (EIC). We study the effectiveness of machine learning-based classifiers at relatively low EIC energies, focusing on (i) identifying the flavor of the jet ...
Kyle Lee, J. Mulligan, M. Płoskoń, F. Ringer, F. Yuan   +4 more
semanticscholar   +1 more source

A survey of machine learning-based physics event generation [PDF]

International Joint Conference on Artificial Intelligence, 2021
Event generators in high-energy nuclear and particle physics play an important role in facilitating studies of particle reactions. We survey the state of the art of machine learning (ML) efforts at building physics event generators.
Y. Alanazi, Nobuo Sato, P. Ambrozewicz, A. H. Blin, W. Melnitchouk, M. Battaglieri, Tianbo Liu, Yaohang Li   +7 more
semanticscholar   +1 more source

A comprehensive guide to the physics and usage of PYTHIA 8.3 [PDF]

SciPost Physics Codebases, 2022
This manual describes the Pythia event generator, the most recent version of an evolving physics tool used to answer fundamental questions in particle physics. The program is most often used to generate high-energy-physics collision “events”, i.e.
C. Bierlich, Smita Chakraborty, N. Desai, L. Gellersen, I. Helenius, P. Ilten, L. Lonnblad, S. Mrenna, S. Prestel, C. Preuss, T. Sjostrand, P. Skands, M. Utheim, R. Verheyen   +13 more
semanticscholar   +1 more source

Ultra-high-granularity detector simulation with intra-event aware generative adversarial network and self-supervised relational reasoning [PDF]

Nature Communications, 2023
Simulating high-resolution detector responses is a computationally intensive process that has long been challenging in Particle Physics. Despite the ability of generative models to streamline it, full ultra-high-granularity detector simulation still ...
H. Hashemi, Nikolai Hartmann, Sahand Sharifzadeh, James Kahn, T. Kuhr   +4 more
semanticscholar   +1 more source

COMP Report: CPQR technical quality control guidelines for use of positron emission tomography/computed tomography in radiation treatment planning

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Positron emission tomography with x‐ray computed tomography (PET/CT) is increasingly being utilized for radiation treatment planning (RTP). Accurate delivery of RT therefore depends on quality PET/CT data. This study covers quality control (QC) procedures required for PET/CT for diagnostic imaging and incremental QC required for RTP.
Ran Klein, Mike Oliver, Dan La Russa, John Agapito, Stewart Gaede, JeanPierre Bissonnette, Arman Rahmim, Carlos Uribe   +7 more
wiley   +1 more source

Treatment planning with a 2.5 MV photon beam for radiation therapy

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Purpose The shallow depth of maximum dose and higher dose fall‐off gradient of a 2.5 MV beam along the central axis that is available for imaging on linear accelerators is investigated for treatment of shallow tumors and sparing the organs at risk (OARs) beyond it.
Navid Khaledi, Chris Hayes, Louise Belshaw, Mark Grattan, Rao Khan, James L. Gräfe   +5 more
wiley   +1 more source

Fast inference of deep neural networks in FPGAs for particle physics [PDF]

Journal of Instrumentation, 2018
Recent results at the Large Hadron Collider (LHC) have pointed to enhanced physics capabilities through the improvement of the real-time event processing techniques.
Javier Mauricio Duarte, Song Han, P. Harris, S. Jindariani, E. Kreinar, B. Kreis, J. Ngadiuba, M. Pierini, R. Rivera, N. Tran, Zhenbin Wu   +10 more
semanticscholar   +1 more source

Digital radiography image quality evaluation using various phantoms and software

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract Purpose To investigate the effect of the exposure parameters on image quality (IQ) metrics of phantom images, obtained automatically using software or from visual evaluation. Methods Three commercial phantoms and a homemade phantom constructed according to the instructions given in the IAEA Human Health Series No.
Ioannis A. Tsalafoutas, Shady AlKhazzam, Virginia Tsapaki, Huda AlNaemi, Mohammed Hassan Kharita   +4 more
wiley   +1 more source

Evaluation of patient doses for routine digital radiography procedures toward establishing an institutional diagnostic reference levels: A case study in Sri Lanka

Journal of Applied Clinical Medical Physics, Volume 23, Issue 12, December 2022., 2022
Abstract The present study was conducted as part of a comprehensive work to establish National Diagnostic Reference Levels (NDRLs) in Sri Lanka for the first time. DRLs can be used as an effective optimization tool for identifying unusually high or low patient doses during X‐ray examinations.
Sachith Welarathna, Sivakumar Velautham, Mihira Wanninayake, Sivananthan Sarasanandarajah   +3 more
wiley   +1 more source