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Studies of the nature of cosmic ray particles at the highest energies are based on the measurement of extensive air showers. Most cosmic ray properties can therefore only be obtained from the interpretation of air shower data and are thus…

High Energy Physics - Phenomenology · Physics 2011-03-31 Ralf Ulrich , Ralph Engel , Michael Unger

Many models beyond the Standard Model predict light and feebly interacting particles that are often long-lived. These long-lived particles (LLPs) in many cases can be produced from meson decays. In this work, we propose a simple and quick…

High Energy Physics - Phenomenology · Physics 2023-05-24 Rebeca Beltrán , Giovanna Cottin , Martin Hirsch , Arsenii Titov , Zeren Simon Wang

High transverse momentum (P_T) QCD scattering processes are regarded as a valuable tool to study the medium produced in heavy-ion collisions, as due to uncertainty arguments their cross section should be calculable independent of medium…

High Energy Physics - Phenomenology · Physics 2015-05-20 Thorsten Renk

We investigate the sensitivity of the Large Hadron Collider to supersymmetric setups using monotop probes in which the signal is a single top quark produced in association with missing transverse energy. Our prospective study relies on…

High Energy Physics - Phenomenology · Physics 2015-07-09 Benjamin Fuks , Peter Richardson , Alexandra Wilcock

We present the results of a model independent analysis, which systematically scans the data taken by CMS for deviations from the Standard Model predictions. Due to the minimal theoretical bias this approach is sensitive to a variety of…

High Energy Physics - Experiment · Physics 2015-06-03 Shivali Malhotra , Md. Naimuddin , Thomas Hebbeker , Arnd Meyer , Holger Pieta , Paul Papacz , Stefan Antonius Schmitz , Mark Olschewski

Particles beyond the Standard Model (SM) can generically have lifetimes that are long compared to SM particles at the weak scale. When produced at experiments such as the Large Hadron Collider (LHC) at CERN, these long-lived particles…

High Energy Physics - Experiment · Physics 2020-09-11 Juliette Alimena , James Beacham , Martino Borsato , Yangyang Cheng , Xabier Cid Vidal , Giovanna Cottin , Albert De Roeck , Nishita Desai , David Curtin , Jared A. Evans , Simon Knapen , Sabine Kraml , Andre Lessa , Zhen Liu , Sascha Mehlhase , Michael J. Ramsey-Musolf , Heather Russell , Jessie Shelton , Brian Shuve , Monica Verducci , Jose Zurita , Todd Adams , Michael Adersberger , Cristiano Alpigiani , Artur Apresyan , Robert John Bainbridge , Varvara Batozskaya , Hugues Beauchesne , Lisa Benato , S. Berlendis , Eshwen Bhal , Freya Blekman , Christina Borovilou , Jamie Boyd , Benjamin P. Brau , Lene Bryngemark , Oliver Buchmueller , Malte Buschmann , William Buttinger , Mario Campanelli , Cari Cesarotti , Chunhui Chen , Hsin-Chia Cheng , Sanha Cheong , Matthew Citron , Andrea Coccaro , V. Coco , Eric Conte , Félix Cormier , Louie D. Corpe , Nathaniel Craig , Yanou Cui , Elena Dall'Occo , C. Dallapiccola , M. R. Darwish , Alessandro Davoli , Annapaola de Cosa , Andrea De Simone , Luigi Delle Rose , Frank F. Deppisch , Biplab Dey , Miriam D. Diamond , Keith R. Dienes , Sven Dildick , Babette Döbrich , Marco Drewes , Melanie Eich , M. ElSawy , Alberto Escalante del Valle , Gabriel Facini , Marco Farina , Jonathan L. Feng , Oliver Fischer , H. U. Flaecher , Patrick Foldenauer , Marat Freytsis , Benjamin Fuks , Iftah Galon , Yuri Gershtein , Stefano Giagu , Andrea Giammanco , Vladimir V. Gligorov , Tobias Golling , Sergio Grancagnolo , Giuliano Gustavino , Andrew Haas , Kristian Hahn , Jan Hajer , Ahmed Hammad , Lukas Heinrich , Jan Heisig , J. C. Helo , Gavin Hesketh , Christopher S. Hill , Martin Hirsch , M. Hohlmann , W. Hulsbergen , John Huth , Philip Ilten , Thomas Jacques , Bodhitha Jayatilaka , Geng-Yuan Jeng , K. A. Johns , Toshiaki Kaji , Gregor Kasieczka , Yevgeny Kats , Malgorzata Kazana , Henning Keller , Maxim Yu. Khlopov , Felix Kling , Ted R. Kolberg , Igor Kostiuk , Emma Sian Kuwertz , Audrey Kvam , Greg Landsberg , Gaia Lanfranchi , Iñaki Lara , Alexander Ledovskoy , Dylan Linthorne , Jia Liu , Iacopo Longarini , Steven Lowette , Henry Lubatti , Margaret Lutz , Jingyu Luo , Judita Mamužić , Matthieu Marinangeli , Alberto Mariotti , Daniel Marlow , Matthew McCullough , Kevin McDermott , P. Mermod , David Milstead , Vasiliki A. Mitsou , Javier Montejo Berlingen , Filip Moortgat , Alessandro Morandini , Alice Polyxeni Morris , David Michael Morse , Stephen Mrenna , Benjamin Nachman , Miha Nemevšek , Fabrizio Nesti , Christian Ohm , Silvia Pascoli , Kevin Pedro , Cristián Peña , Karla Josefina Pena Rodriguez , Jónatan Piedra , James L. Pinfold , Antonio Policicchio , Goran Popara , Jessica Prisciandaro , Mason Proffitt , Giorgia Rauco , Federico Redi , Matthew Reece , Allison Reinsvold Hall , H. Rejeb Sfar , Sophie Renner , Amber Roepe , Manfredi Ronzani , Ennio Salvioni , Arka Santra , Ryu Sawada , Jakub Scholtz , Philip Schuster , Pedro Schwaller , Cristiano Sebastiani , Sezen Sekmen , Michele Selvaggi , Weinan Si , Livia Soffi , Daniel Stolarski , David Stuart , John Stupak , Kevin Sung , Wendy Taylor , Sebastian Templ , Brooks Thomas , Emma Torró-Pastor , Daniele Trocino , Sebastian Trojanowski , Marco Trovato , Yuhsin Tsai , C. G. Tully , Tamás Álmos Vámi , Juan Carlos Vasquez , Carlos Vázquez Sierra , K. Vellidis , Basile Vermassen , Martina Vit , Devin G. E. Walker , Xiao-Ping Wang , Gordon Watts , Si Xie , Melissa Yexley , Charles Young , Jiang-Hao Yu , Piotr Zalewski , Yongchao Zhang

While many modern studies are dedicated to ML-based large-sample hydrologic modeling, these efforts have not necessarily translated into predictive improvements that are grounded in enhanced physical-conceptual understanding. Here, we…

Machine Learning · Computer Science 2025-10-06 Yuan-Heng Wang , Yang Yang , Fabio Ciulla , Hoshin V. Gupta , Charuleka Varadharajan

An inclusive search is presented for long-lived particles using displaced jets. The search uses a data sample collected with the CMS detector at the CERN LHC in 2017 and 2018, from proton-proton collisions at a center-of-mass energy of 13…

High Energy Physics - Experiment · Physics 2021-08-12 CMS Collaboration

We further develop the constrained mass variable techniques to determine the mass scale of invisible particles pair-produced at hadron colliders. We introduce the constrained mass variable M_3C which provides an event-by-event lower bound…

High Energy Physics - Phenomenology · Physics 2009-04-22 Alan J. Barr , Alex Pinder , Mario Serna

The interpretation of extensive air shower (EAS) measurements is strongly dependent on the hadronic interaction models used for simulating reference showers. We study the importance of low-energy hadronic interactions in simulated air…

Astrophysics · Physics 2008-11-26 Christine Meurer , J. Bluemer , R. Engel , A. Haungs , M. Roth , the HARP collaboration

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

Indications of a discrepancy between simulations and data on the number of muons in cosmic ray (CR) showers exist over a large span of energies. We focus in particular on the excess of multi-muon bundles observed by the DELPHI detector at…

High Energy Astrophysical Phenomena · Physics 2017-03-08 Jan Ebr , Petr Necesal , Jan Ridky

New stable particles with fairly low masses could exist if the coupling to the Standard Model is weak, and with suitable parameters they might be possible to produce at the LHC. Here we study a selection of models with the new particles…

High Energy Physics - Phenomenology · Physics 2011-06-13 Morgan Svensson Seth

The stability of particles in the cosmic soup is an important property that can affect the cosmic evolution. In this work, we update the constraints on the decaying cold dark matter scenario, when the decay products are effectively…

Cosmology and Nongalactic Astrophysics · Physics 2022-11-16 S. Alvi , T. Brinckmann , M. Gerbino , M. Lattanzi , L. Pagano

Machine learning models can achieve high predictive accuracy in hydrological applications but often lack physical interpretability. The Mass-Conserving Perceptron (MCP) provides a physics-aware artificial intelligence (AI) framework that…

Machine Learning · Computer Science 2026-03-27 Mohammad A. Farmani , Hoshin V. Gupta , Ali Behrangi , Muhammad Jawad , Sadaf Moghisi , Guo-Yue Niu

In this letter we discuss a certain class of Hidden Valley models where the dynamics in the hidden sector are close to a strongly coupled conformal fixed point. We show that these models can explain the excess in cosmic ray muon events with…

High Energy Physics - Phenomenology · Physics 2008-12-23 Thomas Gehrmann , Nicolas Greiner , Pedro Schwaller

Experimental observations of extensive air showers have revealed an excess of the muon content with respect to their theoretical simulations, which we refer to as the muon puzzle. This muon puzzle hampers a precise determination of the…

High Energy Physics - Phenomenology · Physics 2023-02-20 Julien Manshanden , Günter Sigl , Maria V. Garzelli

A search for groups of collimated muons is performed using a data sample collected by the CMS experiment at the LHC, at a centre-of-mass energy of 7 TeV, and corresponding to an integrated luminosity of 35 inverse picobarns. The analysis…

High Energy Physics - Experiment · Physics 2012-08-27 CMS Collaboration

We investigate the phenomenology of a dark QCD sector interacting with the Standard Model (SM) via the electroweak (EW) portals. The portal interactions allow SM bosons, such as $Z$ and $h$, or additional bosons that mix with them, to decay…

High Energy Physics - Phenomenology · Physics 2025-03-25 Hsin-Chia Cheng , Xu-Hui Jiang , Lingfeng Li

Recent results obtained from leading cosmic ray experiments indicate that simulations using LHC-tuned hadronic interaction models underestimate the number of muons in extensive air showers compared to experimental data. This is the…

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