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Several methods can be used to perform statistical inference of primary composition of cosmic rays measured with water Cerenkov detectors as those in use at the Pierre Auger Southern Observatory. In the present work we assess the impact of…

Dark sector models present a rich phenomenology that requires high-intensity beams and precision detectors for thorough exploration. The NA62 experiment has already published several constraints on dark sector models, leveraging proton beam…

High Energy Physics - Phenomenology · Physics 2026-03-26 F. Arias-Aragón , L. Darmé , R. Gargiulo , G. Grilli di Cortona , V. Kozhuharov , E. Nardi , M. Raggi , T. Spadaro , P. Valente

The performance of muon reconstruction in CMS is evaluated using a large data sample of cosmic-ray muons recorded in 2008. Efficiencies of various high-level trigger, identification, and reconstruction algorithms have been measured for a…

Instrumentation and Detectors · Physics 2012-08-27 CMS Collaboration

We exposed a prototype of the lead-scintillating fiber KLOE calorimeter to neutron beam of 21, 46 and 174 MeV at The Svedberg Laboratory, Uppsala, to study its neutron detection efficiency. This has been found larger than what expected…

We introduce a nanocalorimetric technique based on microsecond-pulsed heating (\mu s-PHnC) that enables high-sensitivity, quasi-isothermal heat capacity measurements on nanoscale samples. Such resolution is critical for exploring…

We have constructed a liquid Argon TPC detector with fiducial mass of 150 kg as a part of the R&D program of the next generation neutrino and nucleon decay detector. This paper describes a study of particle identification performance of the…

A sample of 1.53$\times$10$^{9}$ cosmic-ray-induced single muon events has been recorded at 225 meters-water-equivalent using the MINOS Near Detector. The underground muon rate is observed to be highly correlated with the effective…

High Energy Physics - Experiment · Physics 2014-11-12 P. Adamson , I. Anghel , A. Aurisano , G. Barr , M. Bishai , A. Blake , G. J. Bock , D. Bogert , S. V. Cao , C. M. Castromonte , S. Childress , J. A. B. Coelho , L. Corwin , D. Cronin-Hennessy , J. K. de Jong , A. V. Devan , N. E. Devenish , M. V. Diwan , C. O. Escobar , J. J. Evans , E. Falk , G. J. Feldman , T. H. Fields , M. V. Frohne , H. R. Gallagher , R. A. Gomes , M. C. Goodman , P. Gouffon , N. Graf , R. Gran , K. Grzelak , A. Habig , S. R. Hahn , J. Hartnell , R. Hatcher , A. Holin , J. Huang , J. Hylen , G. M. Irwin , Z. Isvan , C. James , D. Jensen , T. Kafka , S. M. S. Kasahara , G. Koizumi , M. Kordosky , A. Kreymer , K. Lang , J. Ling , P. J. Litchfield , P. Lucas , W. A. Mann , M. L. Marshak , M. Mathis , N. Mayer , C. McGivern , M. M. Medeiros , R. Mehdiyev , J. R. Meier , M. D. Messier , W. H. Miller , S. R. Mishra , S. Moed Sher , C. D. Moore , L. Mualem , J. Musser , D. Naples , J. K. Nelson , H. B. Newman , R. J. Nichol , J. A. Nowak , J. O. Connor , M. Orchanian , S. Osprey , R. B. Pahlka , J. Paley , R. B. Patterson , G. Pawloski , A. Perch , S. Phan-Budd , R. K. Plunkett , N. Poonthottathil , X. Qiu , A. Radovic , B. Rebel , C. Rosenfeld , H. A. Rubin , M. C. Sanchez , J. Schneps , A. Schreckenberger , P. Schreiner , R. Sharma , A. Sousa , N. Tagg , R. L. Talaga , J. Thomas , M. A. Thomson , X. Tian , A. Timmons , S. C. Tognini , R. Toner , D. Torretta , J. Urheim , P. Vahle , B. Viren , A. Weber , R. C. Webb , C. White , L. Whitehead , L. H. Whitehead , S. G. Wojcicki , R. Zwaska

Machine learning (ML) plays an increasingly important role in both online and offline event reconstruction and identification at CMS experiment. A variety of ML techniques are used to improve the identification of physics objects. Dedicated…

High Energy Physics - Experiment · Physics 2026-02-10 Uttiya Sarkar

The cascade training technique which was developed during our work on the MiniBooNE particle identification has been found to be a very efficient way to improve the selection performance, especially when very low background contamination…

Data Analysis, Statistics and Probability · Physics 2008-11-26 Yong Liu , Ion Stancu

A tau lepton identification algorithm, DeepTau, based on convolutional neural network techniques, has been developed in the CMS experiment to discriminate reconstructed hadronic decays of tau leptons ($\tau_\mathrm{h}$) from quark or gluon…

High Energy Physics - Experiment · Physics 2025-12-25 CMS Collaboration

We compute the muon capture on deuteron in the doublet hyperfine state for a variety of nuclear interactions and consistent nuclear currents. Our analysis includes a detailed examination of the theoretical uncertainties coming from…

Nuclear Theory · Physics 2024-03-07 Alex Gnech , Laura Elisa Marcucci , Michele Viviani

Recent results from the NA48/2 and NA62 kaon decay-in-flight experiments at CERN are presented. A precision measurement of the helicity-suppressed ratio RK of the K+- to e+- nu and K+- to mu+- nu decay rates has been performed using the…

High Energy Physics - Experiment · Physics 2019-08-14 Evgueni Goudzovski

Particle Identification (PID) plays a key role in heavy flavor physics in high-energy physics experiments. However, its impact on Higgs physics is still not clear. In this note, we will explore some of the potential of PID to improve the…

High Energy Physics - Experiment · Physics 2020-07-15 Wei-Ming Yao

The NO$\nu$A collaboration has constructed a 14,000 ton, fine-grained, low-Z, total absorption tracking calorimeter at an off-axis angle to an upgraded NuMI neutrino beam. This detector, with its excellent granularity and energy resolution…

High Energy Physics - Experiment · Physics 2015-11-03 R. Mina , E. Culbertson , M. J. Frank , R. C. Group , A. Norman , I. Oksuzian

The ultra-rare decay $K^+\to\pi^+\nu\bar\nu$ is a golden mode in flavor physics. The Standard Model prediction for its branching ratio is below $10^{-10}$. This decay mode is highly sensitive to new physics models at mass scales up to…

High Energy Physics - Experiment · Physics 2026-05-08 Xiafei Chang , for the NA62 Collaboration

We present a novel implementation of classification using the machine learning / artificial intelligence method called boosted decision trees (BDT) on field programmable gate arrays (FPGA). The firmware implementation of binary…

High Energy Physics - Experiment · Physics 2023-04-12 Tae Min Hong , Benjamin Carlson , Brandon Eubanks , Stephen Racz , Stephen Roche , Joerg Stelzer , Daniel Stumpp

Rare Kaon decays provide sensitive probes of short distance physics. Among the most promising modes are the K+ --> pi+ nu anti-nu and K(L) --> pi0 nu anti-nu modes due to their theoretical cleanness and the dedicated experiments, NA62 and…

High Energy Physics - Phenomenology · Physics 2015-03-17 Emmanuel Stamou

An improved weighting algorithm applied to hadron showers has been developed for a fine grained LAr calorimeter. The new method uses tabulated weights which depend on the density of energy deposited in individual cells and in a surrounding…

Instrumentation and Detectors · Physics 2009-11-10 C. Issever , K. Borras , D. Wegener

We suggest two methods for the detection of the formation of disoriented chiral condensates in heavy ion collisions. We show that the variance in the number of charged pions (in a suitable range of momentum space) provides a signature for…

Nuclear Theory · Physics 2009-10-31 Chi-Keung Chow , Thomas D. Cohen