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Data collected in Run II of the Fermilab Tevatron are searched for indications of new electroweak-scale physics. Rather than focusing on particular new physics scenarios, CDF data are analyzed for discrepancies with the standard model…

High Energy Physics - Experiment · Physics 2010-05-12 CDF Collaboration , T. Aaltonen

With the continuous improvement of the performance of object detectors via advanced model architectures, imbalance problems in the training process have received more attention. It is a common paradigm in object detection frameworks to…

Computer Vision and Pattern Recognition · Computer Science 2021-08-10 Yihao Luo , Xiang Cao , Juntao Zhang , Peng Cheng , Tianjiang Wang , Qi Feng

The ATLAS and CMS experiments at the Large Hadron Collider (LHC) at CERN have searched for signals of new physics, in particular for supersymmetry. The data collected until 2012 at center-of-mass energies of 7 and 8 TeV and integrated…

High Energy Physics - Experiment · Physics 2016-09-07 Christian Autermann

An overview of the prospects of top quark physics at the LHC is presented. The ATLAS and the CMS detectors are about to produce a large amount of data with high top quark contents from the LHC proton-proton collisions. A wide variet y of…

High Energy Physics - Experiment · Physics 2008-11-18 Akira Shibata

We review the search for new physics to be performed at the Large Hadron Collider(LHC). Namely, we review the expectations for the Higgs boson, supersymmetry and exotica detection at LHC. We also describe the main parameters of the CMS and…

High Energy Physics - Phenomenology · Physics 2008-11-26 N. V. Krasnikov , V. A. Matveev

We apply an Adversarially Learned Anomaly Detection (ALAD) algorithm to the problem of detecting new physics processes in proton-proton collisions at the Large Hadron Collider. Anomaly detection based on ALAD matches performances reached by…

High Energy Physics - Experiment · Physics 2020-10-06 Oliver Knapp , Guenther Dissertori , Olmo Cerri , Thong Q. Nguyen , Jean-Roch Vlimant , Maurizio Pierini

Nowadays there is no field research which is not flooded with data. Among the sciences, Astrophysics has always been driven by the analysis of massive amounts of data. The development of new and more sophisticated observation facilities,…

Instrumentation and Methods for Astrophysics · Physics 2017-06-14 Mauro Garofalo , Alessio Botta , Giorgio Ventre

A search is conducted for new phenomena in events with a top quark pair and large missing transverse momentum, where the top quark pair is reconstructed in final states with one isolated electron or muon and multiple jets. The search is…

High Energy Physics - Experiment · Physics 2024-11-27 ATLAS Collaboration

These proceedings outline steps toward a systematic analysis of frontier energy collider data: specifically, those data collected at Tevatron Runs I and II, LEP Run II, HERA Runs I and II, and the future LHC. Algorithms designed to…

High Energy Physics - Experiment · Physics 2009-11-10 Bruce Knuteson

In the domain of scientific imaging, interpreting visual data often demands an intricate combination of human expertise and deep comprehension of the subject materials. This study presents a novel methodology to linguistically emulate and…

Machine Learning · Computer Science 2023-09-27 Abdulelah S. Alshehri , Franklin L. Lee , Shihu Wang

This article summarizes main developments of the hadron colliders and physics results obtained since their inception around forty years ago. The increase in the collision energy of over two orders of magnitude and even larger increases in…

Accelerator Physics · Physics 2015-06-16 Dmitri Denisov

Interleaved practice enhances the memory and problem-solving ability of students in undergraduate courses. We introduce a personalized learning tool built on a Large Language Model (LLM) that can provide immediate and personalized attention…

Physics Education · Physics 2024-07-02 Yufan Zhu , Zi-Yu Khoo , Jonathan Sze Choong Low , Stephane Bressan

We review the methods which have been proposed for measuring masses of new particles at the Large Hadron Collider paying particular attention to the kinematical techniques suitable for extracting mass information when invisible particles…

High Energy Physics - Phenomenology · Physics 2011-01-27 Alan J. Barr , Christopher G. Lester

The ATLAS experiment at the CERN Large Hadron Collider has performed searches for new, heavy bosons decaying to $WW$, $WZ$ and $ZZ$ final states in multiple decay channels using 20.3 fb$^{-1}$ of $pp$ collision data at $\sqrt{s} = 8$ TeV.…

High Energy Physics - Experiment · Physics 2016-03-31 ATLAS Collaboration

The successful running of the large area Silicon trackers of ATLAS and CMS at LHC, and the ongoing R&D for the upgrade of these tracking systems, in various stages, over this decade, are a full proof of this technology and of its still…

Instrumentation and Detectors · Physics 2012-03-06 Aurore Savoy-Navarro

In modern High Energy Physics (HEP) experiments, triggers perform the important task of selecting, in real time, the data to be recorded and saved for physics analyses. As a result, trigger strategies play a key role in extracting relevant…

An overview of the most recent results on top quark physics obtained using proton-proton collision data collected with the ATLAS and the CMS experiments at 7 TeV center-of-mass energy is given. Measurements for inclusive and differential…

High Energy Physics - Experiment · Physics 2019-08-13 Pedro Silva

The search of the new physics~(NP) beyond the Standard Model is one of the most important topics in current high energy physics. With the increasing luminosities at the colliders, the search for NP signals requires the analysis of more and…

High Energy Physics - Phenomenology · Physics 2024-08-26 Shuai Zhang , Yu-Chen Guo , Ji-Chong Yang

These lecture notes for graduate students and young postdocs introduce the commissioning and early physics programme of the high-transverse-momentum experiments ATLAS and CMS, operating at the Large Hadron Collider (LHC) at CERN.

High Energy Physics - Experiment · Physics 2010-02-16 Andreas Hoecker

We investigate a new structure for machine learning classifiers applied to problems in high-energy physics by expanding the inputs to include not only measured features but also physics parameters. The physics parameters represent a…

High Energy Physics - Experiment · Physics 2016-05-25 Pierre Baldi , Kyle Cranmer , Taylor Faucett , Peter Sadowski , Daniel Whiteson
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