Physical characterization of aerosol particles during nucleation events [PDF]
Tellus B: Chemical and Physical Meteorology, 2001 Particle concentrations and size distributions have been measured from different heights inside and above a boreal forest during three BIOFOR campaigns (14 April–22 May 1998, 27 July–21 August 1998 and 20 March–24 April 1999) in Hyytiälä, Finland. Typically, the shape of the background distribution inside the forest exhibited 2 dominant modes: a fine ...
PASI AALTO +13 more
openaire +2 more sources
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 +4 more
semanticscholar +1 more source
Studying the Potential of Graphcore® IPUs for Applications in Particle Physics
Computing and Software for Big Science, 2021 This paper presents the first study of Graphcore’s Intelligence Processing Unit (IPU) in the context of particle physics applications. The IPU is a new type of processor optimised for machine learning.
S. Maddrell-Mander +7 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 +7 more
semanticscholar +1 more source
MLPF: efficient machine-learned particle-flow reconstruction using graph neural networks
European Physical Journal C: Particles and Fields, 2021 In general-purpose particle detectors, the particle-flow algorithm may be used to reconstruct a comprehensive particle-level view of the event by combining information from the calorimeters and the trackers, significantly improving the detector ...
Joosep Pata +4 more
doaj +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 +10 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 +13 more
semanticscholar +1 more source
Particle-flow reconstruction and global event description with the CMS detector [PDF]
, 2017 The CMS apparatus was identified, a few years before the start of the LHC operation at CERN, to feature properties well suited to particle-flow (PF) reconstruction: a highly-segmented tracker, a fine-grained electromagnetic calorimeter, a hermetic hadron
Cms Collaboration
semanticscholar +2 more sources
Missing information search with deep learning for mass estimation
Physical Review Research, 2023 We introduce DeeLeMa, a deep learning-based network for the analysis of energy and momentum in high-energy particle collisions. This novel approach is specifically designed to address the challenge of analyzing collision events with multiple invisible ...
Kayoung Ban +4 more
doaj +1 more source