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At the Large Hadron Collider (LHC), the most abundant processes which take place in proton-proton collisions are the generation of multijet events. These final states rely heavily on phenomenological models and perturbative corrections…

High Energy Physics - Experiment · Physics 2019-01-25 Stefan von Buddenbrock

Sophisticated machine learning techniques have promising potential in search for physics beyond Standard Model in Large Hadron Collider (LHC). Convolutional neural networks (CNN) can provide powerful tools for differentiating between…

High Energy Physics - Phenomenology · Physics 2019-12-17 Biplob Bhattacherjee , Swagata Mukherjee , Rhitaja Sengupta

Building accurate and predictive models of the underlying mechanisms of celestial motion has inspired fundamental developments in theoretical physics. Candidate theories seek to explain observations and predict future positions of planets,…

Earth and Planetary Astrophysics · Physics 2021-08-27 Ming Zhong , Jason Miller , Mauro Maggioni

We propose a novel scheme for performing a beam-dump-like experiment with the general-purpose detectors (ATLAS and CMS) at the LHC. Collisions of high-energy protons result in jets containing a number of energetic hadrons and…

High Energy Physics - Phenomenology · Physics 2025-01-10 Bhaskar Dutta , Doojin Kim , Hyunyong Kim

Two suggested models of jet fragmentation in a quark-gluon plasma have been tested, combined and further developed. This has been done by generating hard processes in proton-proton collisions at $\sqrt{s}=2.76$ GeV in PYTHIA 8 with a…

High Energy Physics - Phenomenology · Physics 2011-09-15 Viktor Linders

We study recent research advances that improve large language models through efficient pre-training and scaling, and open datasets and tools. We combine these advances to introduce Cerebras-GPT, a family of open compute-optimal language…

Machine Learning · Computer Science 2023-04-07 Nolan Dey , Gurpreet Gosal , Zhiming , Chen , Hemant Khachane , William Marshall , Ribhu Pathria , Marvin Tom , Joel Hestness

The hot, dense and strongly interacting medium known as the Quark Gluon Plasma (QGP) is produced in relativistic heavy-ion collisions at the Large Hadron Collider (LHC). Early in the collisions, quarks and gluons from the incoming nuclei…

Nuclear Experiment · Physics 2018-03-14 Joel Mazer

Recent literature on deep neural networks for tagging of highly energetic jets resulting from top quark decays has focused on image based techniques or multivariate approaches using high-level jet substructure variables. Here, a sequential…

High Energy Physics - Experiment · Physics 2017-08-10 Jannicke Pearkes , Wojciech Fedorko , Alison Lister , Colin Gay

We apply object detection techniques based on deep convolutional blocks to end-to-end jet identification and reconstruction tasks encountered at the CERN Large Hadron Collider (LHC). Collision events produced at the LHC and represented as…

The Large Hadron Collider (LHC) has been successfully delivering proton-proton collision data at the unprecedented center of mass energy of 13 TeV. An upgrade is planned to increase the instantaneous luminosity delivered by the LHC in what…

Instrumentation and Detectors · Physics 2018-09-10 Peilian Liu

This paper presents studies of the performance of several jet-substructure techniques, which are used to identify hadronically decaying top quarks with high transverse momentum contained in large-radius jets. The efficiency of identifying…

High Energy Physics - Experiment · Physics 2016-07-05 ATLAS Collaboration

For jets, with great power comes great opportunity. The unprecedented center of mass energies available at the LHC open new windows on the QGP: we demonstrate that jet shape and jet cross section measurements become feasible as a new,…

High Energy Physics - Phenomenology · Physics 2009-05-20 Ivan Vitev , Simon Wicks , Ben-Wei Zhang

This open access book provides a comprehensive overview of the state of the art in research and applications of Foundation Models and is intended for readers familiar with basic Natural Language Processing (NLP) concepts. Over the recent…

Computation and Language · Computer Science 2023-02-20 Gerhard Paaß , Sven Giesselbach

In high energy physics, one of the most important processes for collider data analysis is the comparison of collected and simulated data. Nowadays the state-of-the-art for data generation is in the form of Monte Carlo (MC) generators.…

The rejection of forward jets originating from additional proton--proton interactions (pile-up) is crucial for a variety of physics analyses at the LHC, including Standard Model measurements and searches for physics beyond the Standard…

High Energy Physics - Experiment · Physics 2017-09-20 ATLAS Collaboration

Data analysis focuses on harnessing advanced statistics, programming, and machine learning techniques to extract valuable insights from vast datasets. An increasing volume and variety of research emerged, addressing datasets of diverse…

Databases · Computer Science 2025-01-06 Chen Liang , Donghua Yang , Zheng Liang , Zhiyu Liang , Tianle Zhang , Boyu Xiao , Yuqing Yang , Wenqi Wang , Hongzhi Wang

The accumulation of a large amount of new experimental data at an impressive rate at present and future collider experiments has led to important questions concerning data storage and organization, their public access and usability, as well…

High Energy Physics - Phenomenology · Physics 2019-07-30 Andrea Ceccarelli , Andrea Cioni , Maria Vittoria Garzelli , Piergiulio Lenzi , Laura Redapi

Results are reported from a search for new particles that decay into a photon and two gluons, in events with jets. Novel jet substructure techniques are developed that allow photons to be identified in an environment densely populated with…

High Energy Physics - Experiment · Physics 2020-01-01 CMS Collaboration

High-speed flight vehicles, which travel much faster than the speed of sound, are crucial for national defense and space exploration. However, accurately predicting their behavior under numerous, varied flight conditions is a challenge and…

Machine Learning · Computer Science 2024-11-07 Tyler E. Korenyi-Both , Nathan J. Falkiewicz , Matthew C. Jones

Modern searches for physics beyond the Standard Model produce rapidly expanding literature containing heterogeneous information, including textual analyses, numerical datasets, and graphical exclusion limits. Integrating these distributed…

High Energy Physics - Experiment · Physics 2026-05-05 Altan Cakir , Ayca Yerlikaya
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