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Investigation of well-motivated parameter space in the theories of Beyond the Standard Model (BSM) plays an important role in new physics discoveries. However, a large-scale exploration of models with multi-parameter or equivalent solutions…

High Energy Physics - Phenomenology · Physics 2019-04-09 Jie Ren , Lei Wu , Jin Min Yang , Jun Zhao

By combining the LHC Beam Loss Monitoring (BLM) system with the LHC experiments, a powerful search machine for new physics beyond the standard model can be realised. The pair of final state protons in the central production process, exit…

High Energy Physics - Experiment · Physics 2016-04-25 Matti Kalliokoski , Jerry W. Lämsä , Mikael Mieskolainen , Risto Orava

Mesonic resonances are generally observed in data as narrow, moderately broad, or wide peaks in scattering or production processes. In the eyes of nearly all experimentalists, any suchlike bump is a true resonance as soon as its statistical…

High Energy Physics - Phenomenology · Physics 2015-06-03 George Rupp , Susana Coito , Eef van Beveren

This paper discusses model-agnostic searches for new physics at the Large Hadron Collider (LHC) using anomaly-detection techniques for the identification of event signatures that deviate from the Standard Model (SM). We investigate anomaly…

High Energy Physics - Phenomenology · Physics 2022-09-26 S. V. Chekanov , W. Hopkins

We consider machine learning techniques associated with the application of a Boosted Decision Tree (BDT) to searches at the Large Hadron Collider (LHC) for pair-produced lepton partners which decay to leptons and invisible particles. This…

High Energy Physics - Phenomenology · Physics 2024-04-19 Bhaskar Dutta , Tathagata Ghosh , Alyssa Horne , Jason Kumar , Sean Palmer , Pearl Sandick , Marcus Snedeker , Patrick Stengel , Joel W. Walker

We propose exploiting symmetries (exact or approximate) of the Standard Model (SM) to search for physics Beyond the Standard Model (BSM) using the data-directed paradigm (DDP). Symmetries are very powerful because they provide two samples…

High Energy Physics - Phenomenology · Physics 2022-06-09 Mattias Birman , Benjamin Nachman , Raphael Sebbah , Gal Sela , Ophir Turetz , Shikma Bressler

Supervised artificial neural networks with the rapidity-mass matrix (RMM) inputs were studied using several Monte Carlo event samples for various pp collision processes. The study shows the usability of this approach for general event…

High Energy Physics - Phenomenology · Physics 2021-01-27 S. V. Chekanov

There is a growing need for machine learning-based anomaly detection strategies to broaden the search for Beyond-the-Standard-Model (BSM) physics at the Large Hadron Collider (LHC) and elsewhere. The first step of any anomaly detection…

High Energy Physics - Phenomenology · Physics 2023-01-18 Gregor Kasieczka , Radha Mastandrea , Vinicius Mikuni , Benjamin Nachman , Mariel Pettee , David Shih

The LHC experiments have searched for and excluded many proposed Beyond the Standard Model (BSM) theories. However, there are many scenarios where LHC has little or no sensitivity. Electron-positron colliders offers a different avenue for…

High Energy Physics - Phenomenology · Physics 2022-12-13 Mikael Berggren

New heavy resonances are predicted by many extensions of the standard model of particle physics. Recent results for high mass resonance searches with the Compact Muon Solenoid detector, in the diphoton, dilepton, dijet and ttbar channels,…

High Energy Physics - Experiment · Physics 2019-08-13 Toyoko J. Orimoto

Thousands of person-years have been invested in searches for New Physics (NP), the majority of them motivated by theoretical considerations. Yet, no evidence of beyond the Standard Model (BSM) physics has been found. This suggests that…

High Energy Physics - Experiment · Physics 2024-10-22 Shikma Bressler , Inbar Savoray , Yuval Zurgil

Anomaly detection is a vital technique for exploring signatures of new physics Beyond the Standard Model (BSM) at the Large Hadron Collider (LHC). The vast number of collisions generated by the LHC demands sophisticated deep learning…

High Energy Physics - Phenomenology · Physics 2024-11-18 A. Hammad , Mihoko M. Nojiri , Masahito Yamazaki

Search for supersymmetry is carried out in the framework of the Minimal Supersymmetric Standard Model (MSSM). Using the software programs SOFTSUSY and PROSPINO, the mass spectrum and the production cross-sections of superpartners are…

High Energy Physics - Phenomenology · Physics 2015-02-24 T. V. Obikhod , V. V. Negliad

The LHC Collider Ring is proposed to be turned into an ultimate automatic search engine for new physics in four consecutive phases: (1) Searches for heavy particles produced in Central Exclusive Process (CEP): pp -> p + X + p based on the…

High Energy Physics - Experiment · Physics 2017-04-05 Risto Orava

The exceptionally accurate Standard Model (SM) theory of fundamental interactions is known to be incomplete. Many new theories extend the SM, trying to solve some of the most compelling puzzles of nature. Since the start of LHC experiments,…

High Energy Physics - Experiment · Physics 2024-05-22 Anthony Badea

We present the results and prospects for searches beyond the Standard Model (SM) at the LHC by the ATLAS and CMS collaborations. The minimal supersymmetric extension of the SM has been investigated in various configurations and lower limits…

High Energy Physics - Experiment · Physics 2019-08-13 Daniel Teyssier

Given the lack of evidence for new particle discoveries at the Large Hadron Collider (LHC), it is critical to broaden the search program. A variety of model-independent searches have been proposed, adding sensitivity to unexpected signals.…

High Energy Physics - Phenomenology · Physics 2020-05-13 Anders Andreassen , Benjamin Nachman , David Shih

We introduce a new technique named Latent CATHODE (LaCATHODE) for performing "enhanced bump hunts", a type of resonant anomaly search that combines conventional one-dimensional bump hunts with a model-agnostic anomaly score in an auxiliary…

High Energy Physics - Phenomenology · Physics 2023-07-11 Anna Hallin , Gregor Kasieczka , Tobias Quadfasel , David Shih , Manuel Sommerhalder

Data driven modelling is vital to many analyses at collider experiments, however the derived inference of physical properties becomes subject to details of the model fitting procedure. This work brings a principled Bayesian picture, based…

Data Analysis, Statistics and Probability · Physics 2023-05-23 David Yallup , Will Handley

We develop the idea that the unprecedented precision in Standard Model (SM) measurements, with further improvement at the HL-LHC, enables new searches for physics Beyond the Standard Model (BSM).As an illustration, we demonstrate that the…

High Energy Physics - Phenomenology · Physics 2024-04-30 Kaustubh Agashe , Sagar Airen , Roberto Franceschini , Doojin Kim , Ashutosh V. Kotwal , Lorenzo Ricci , Deepak Sathyan