Results 61 to 70 of about 210,628 (307)
The use of minimal spanning trees in particle physics [PDF]
, 2016 Minimal spanning trees (MSTs) have been used in cosmology and astronomy to distinguish distributions of points in a multi-dimensional space. They are essentially unknown in particle physics, however. We briefly define MSTs and illustrate their properties
J. Rainbolt, M. Schmitt
semanticscholar +1 more source
Exploring End-to-end Deep Learning Applications for Event Classification at CMS [PDF]
EPJ Web of Conferences, 2019 An essential part of new physics searches at the Large Hadron Collider (LHC) at CERN involves event classification, or distinguishing potential signal events from those coming from background processes. Current machine learning techniques accomplish this
Andrews Michael +3 more
doaj +1 more source
Event generation with Sherpa 2.2 [PDF]
SciPost Physics, 2019 Sherpa is a general-purpose Monte Carlo event generator for the simulation of particle collisions in high-energy collider experiments. We summarise essential features and improvements of the Sherpa 2.2 release series, which is heavily used for event ...
E. Bothmann +11 more
semanticscholar +1 more source
The Top-Quark Mass: Challenges in Definition and Determination
Frontiers in Physics, 2019 The top-quark mass is a parameter of paramount importance in particle physics, playing a crucial role in the electroweak precision tests and in the stability of the Standard Model vacuum.
Gennaro Corcella
doaj +1 more source
Collider events on a quantum computer
Journal of High Energy Physics, 2022 High-quality simulated data is crucial for particle physics discoveries. Therefore, parton shower algorithms are a major building block of the data synthesis in event generator programs.
Gösta Gustafson +3 more
doaj +1 more source
Ranking-based neural network for ambiguity resolution in ACTS [PDF]
EPJ Web of ConferencesThe reconstruction of particle trajectories is a key challenge of particle physics experiments, as it directly impacts particle identification and physics performances while also representing one of the main CPU consumers of many high-energy physics ...
Allaire Corentin +3 more
doaj +1 more source
FEBS Letters, EarlyView.B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro +2 more
wiley +1 more source
FEBS Letters, EarlyView.Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu +17 more
wiley +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, EarlyView.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Event shape engineering and multiplicity dependent study of identified particle production in proton + proton collisions at s = 13 TeV using PYTHIA8 [PDF]
, 2018 Small system collectivity observed at the LHC energies along with enhancement of strangeness makes high-multiplicity proton+proton collisions very interesting in order to look for QGP-like features, usually found in heavy-ion collisions.
A. Khuntia +3 more
semanticscholar +1 more source