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Record W4225725984 · doi:10.1088/1361-6471/ac865e

The Forward Physics Facility at the High-Luminosity LHC

2023· article· en· W4225725984 on OpenAlex
Jonathan L. Feng, Felix Kling, Mary Hall Reno, Juan Rojo, Dennis Soldin, Luis A. Anchordoqui, Jamie Boyd, Ahmed Ismail, L. A. Harland-Lang, Kevin J. Kelly, V. Pandey, Sebastian Trojanowski, Yu-Dai Tsai, Jean-Marco Alameddine, Takeshi Araki, A. Ariga, T. Ariga, Kento Asai, Alessandro Bacchetta, Kincso Balazs, A. J. Barr, M. Battistin, J. M. Bian, Caterina Bertone, Weidong Bai, Pouya Bakhti, A. B. Balantekin, Basabendu Barman, Brian Batell, Martin Bauer, Brian S. Bauer, M. Becker, Asher Berlin, Enrico Bertuzzo, Atri Bhattacharya, Marco Bonvini, Stewart Boogert, Alexey Boyarsky, Joseph Bramante, Vedran Brdar, Adrián Carmona, D. Casper, Francesco Giovanni Celiberto, F. Cerutti, Grigorios Chachamis, Garv Chauhan, Matthew Citron, Emanuele Copello, Jean-Pierre Corso, Luc Darmé, Raffaele Tito D’Agnolo, Neda Darvishi, Arindam Das, G. De Lellis, A. De Roeck, Jordy de Vries, H.-P. Dembinski, Sergey Demidov, Patrick deNiverville, Peter B. Denton, Frank F. Deppisch, A. Di Crescenzo, Keith R. Dienes, M. Diwan, Herbi K. Dreiner, Y. Du, Bhaskar Dutta, P. Duwentäster, Lucie Elie, Rikard Enberg, Yasaman Farzan, Max Fieg, Ana Luisa Foguel, Patrick Foldenauer, Saeid Foroughi-Abari, Jean-François Fortin, A. Friedland, Elina Fuchs, Michael Fucilla, K. Gallmeister, Alfonso Garcia, C. A. Garcı́a Canal, Maria Vittoria Garzelli, R. Gauld, Sumit Ghosh, Anish Ghoshal, S. M. Gibson, F. Giuli, Dorival Gonçalves, Dmitry Gorbunov, Sreetama Goswami, Silvia Grau, J. Günther, Marco Guzzi, A. Haas, T. Hakulinen, Steven P. Harris, Julia Harz, Juan Carlos Helo, C. Hill, M. Hirsch, T. J. Hobbs, Stefan Höche, Andrzej Hryczuk, Fei Huang, Tomohiro Inada, Angelo Infantino, Yu Seon Jeong, Tomáš Ježo, S. R. Klein, Jason Kumar, Chiara Le Roux, Seung J. Lee, H. P. Lefebvre, Jinmian Li, Shuailong Li, Yichen Li, Wei Liu, Emanuele R. Nocera, Hiroki Rokujo, Tim Ruhe, David Stuart, Shufang Su, Martin Wolfgang Winkler, W. Wu, Keping Xie, Tevong You, J. Y. Yu, Jiang-Hao Yu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueResearch Explorer (The University of Manchester) · 2023
Typearticle
Languageen
FieldPhysics and Astronomy
TopicParticle physics theoretical and experimental studies
Canadian institutionsUniversité LavalUniversity of VictoriaQueen's UniversityCarleton UniversityPerimeter Institute
Fundersnot available
KeywordsPhysicsLarge Hadron ColliderPhysics beyond the Standard ModelParticle physicsAstroparticle physicsNeutrinoNuclear physicsLuminosityPerturbative QCDQuantum chromodynamicsAstronomy

Abstract

fetched live from OpenAlex

The Standard Model (SM) faces both theoretical and experimental challenges that indicate the existence of physics beyond its current framework. Among the proposed extensions, supersymmetry (SUSY) emerges as a promising concept. The simplest extension of the SM, which incorporates SUSY, is the Minimal Supersymmetric Standard Model (MSSM). It provides a potential candidate for dark matter and offers solutions to the hierarchy problem. As part of the definition of the MSSM, imposing a discrete R-parity (𝑅<sub>𝑝</sub>), to prevent proton decay, forbids every term in the Lagrangian that violates baryon or lepton number. However, imposing this symmetry is not necessary. Models that violate R-parity (RPV) exhibit a rich and diverse phenomenology different from the 𝑅<sub>𝑝</sub>-conserving MSSM and provide a more original mechanism for neutrino mass production. <br/> This thesis addresses the phenomenology of the RPV-MSSM by identifying different characteristic regions within the RPV-MSSM landscape and exploring their signatures. Depending on the choice of RPV couplings, the framework may exhibit potential gaps in the coverage. We try to provide studies, which potentially close these gaps and try to give an overview of the vast RPV-MSSM landscape. <br/> By analyzing the structures of the neutrino mass matrix, we identify minimal models for understanding neutrino masses in the 𝐵<sub>3</sub>-conserving RPV-MSSM. These models provide valuable insights into understanding neutrino masses, in the general context of RPV scenarios that have not been analyzed. <br/> We use several collider experiments to investigate how different types of signals can be revealed as a result of the choice and strength of RPV couplings as well as the mass of SUSY particles. We present a systematic analysis of the RPV-MSSM and its collider signatures to find a minimal number of experimental searches for comprehensive LHC coverage. The lightest neutralino with a mass of 𝒪(GeV) and small couplings is unconstrained in the RPV-MSSM. We present three approaches for both constraining the coupling parameters and exploring the sensitivity regions of future experiments. We consider neutralino production in meson decays via 𝐿𝑄<span style="text-decoration:overline">𝐷</span> operators, followed by loop-induced decays into a photon and a neutrino in <TT>FASER</TT>. We re-interpret experimental results, derived for heavy neutral leptons (HNL), to constrain the RPV couplings. And we study a novel proton decay involving a bino-like neutralino and the resulting decay signature. <br/> Our approach emphasizes the potential of future experiments, including those not specifically designed for SUSY searches, to effectively probe the RPV landscape.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.297
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it