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We present a program tool, SimClust, designed for Monte-Carlo modeling of star clusters. It populates the available stellar isochrones with stars according to the initial mass function and distributes stars randomly following the analytical…

Astrophysics of Galaxies · Physics 2009-05-25 V. Deveikis , D. Narbutis , R. Stonkute , A. Bridzius , V. Vansevicius

We present density response estimators for Monte Carlo simulations that are based on a reweighting procedure, where the samples of an unperturbed system are used to estimate the properties of a system perturbed by an external harmonic…

The integration of Deep Learning (DL) into experimental nuclear and particle physics has driven significant progress in simulation and reconstruction workflows. However, traditional simulation frameworks such as Geant4 remain…

Instrumentation and Detectors · Physics 2025-04-29 James Giroux , Michael Martinez , Cristiano Fanelli

Stereo mini-jet cells will be indispensable components of a future $e^+e^-$ linear collider central tracker such as JLC-CDC. There is, however, no official Geant4 solid available at present to describe such geometrical objects, which had…

High Energy Physics - Experiment · Physics 2009-11-10 Kotoyo Hoshina , Keisuke Fujii , Osamu Nitoh

The CRESST experiment is a direct dark matter search which aims to measure interactions of potential dark matter particles in an earth-bound detector. With the current stage, CRESST-III, we focus on a low energy threshold for increased…

In this paper, we present a new version of the $i$QIST software package, which is capable of solving various quantum impurity models by using the hybridization expansion (or strong coupling expansion) continuous-time quantum Monte Carlo…

Computational Physics · Physics 2017-11-22 Li Huang

A comprehensive study, supported by systematic measurements and numerical computations, of the intrinsic limits of multi-GEM detectors when exposed to very high particle fluxes or operated at very large gains is presented. The observed…

An estimate of environmental background hit rate on triple-GEM chambers is performed using Monte Carlo (MC) simulation and compared to data taken by test chambers installed in the CMS experiment (GE1/1) during Run-2 at the Large Hadron…

Instrumentation and Detectors · Physics 2022-01-05 M. Abbas , M. Abbrescia , H. Abdalla , A. Abdelalim , S. AbuZeid , A. Agapitos , A. Ahmad , A. Ahmed , W. Ahmed , C. Aimè , C. Aruta , I. Asghar , P. Aspell , C. Avila , I. Azhgirey , J. Babbar , Y. Ban , R. Band , S. Bansal , L. Benussi , V. Bhatnagar , M. Bianco , S. Bianco , K. Black , L. Borgonovi , O. Bouhali , A. Braghieri , S. Braibant , S. Butalla , S. Calzaferri , M. Caponero , F. Cassese , A. Castaneda , N. Cavallo , S. S. Chauhan , A. Colaleo , A. Conde Garcia , M. Dalchenko , A. De Iorio , G. De Lentdecker , D. Dell Olio , G. De Robertis , W. Dharmaratna , S. Dildick , B. Dorney , R. Erbacher , F. Fabozzi , F. Fallavollita , A. Ferraro , D. Fiorina , E. Fontanesi , M. Franco , C. Galloni , P. Giacomelli , S. Gigli , J. Gilmore , M. Gola , M. Gruchala , A. Gutierrez , R. Hadjiiska , T. Hakkarainen , J. Hauser , K. Hoepfner , M. Hohlmann , H. Hoorani , T. Huang , P. Iaydjiev , A. Irshad , A. Iorio , F. Ivone , J. Jaramillo , V. Jha , A. Juodagalvis , E. Juska , B. Kailasapathy , T. Kamon , Y. Kang , P. Karchin , A. Kaur , H. Kaur , H. Keller , H. Kim , J. Kim , S. Kim , B. Ko , A. Kumar , S. Kumar , H. Kumawat , N. Lacalamita , J. S. H. Lee , A. Levin , Q. Li , F. Licciulli , L. Lista , K. Liyanage , F. Loddo , M. Luhach , M. Maggi , Y. Maghrbi , N. Majumdar , K. Malagalage , S. Malhotra , S. Mallows , S. Martiradonna , N. Mccoll , C. McLean , J. Merlin , M. Misheva , D. Mishra , G. Mocellin , L. Moureaux , A. Muhammad , S. Muhammad , S. Mukhopadhyay , M. Naimuddin , P. Netrakanti , S. Nuzzo , R. Oliveira , L. Pant , P. Paolucci , I. C. Park , L. Passamonti , G. Passeggio , A. Peck , A. Pellecchia , N. Perera , L. Petre , H. Petrow , D. Piccolo , D. Pierluigi , G. Raffone , M. Rahmani , F. Ramirez , A. Ranieri , G. Rashevski , B. Regnery , M. Ressegotti , C. Riccardi , M. Rodozov , E. Romano , C. Roskas , B. Rossi , P. Rout , D. Roy , J. D. Ruiz , A. Russo , A. Safonov , A. K. Sahota , D. Saltzberg , G. Saviano , A. Shah , A. Sharma , R. Sharma , T. Sheokand , M. Shopova , F. Simone , J. Singh , U. Sonnadara , E. Starling , B. Stone , J. Sturdy , G. Sultanov , Z. Szillasi , D. Teague , D. Teyssier , T. Tuuva , M. Tytgat , I. Vai , N. Vanegas , R. Venditti , P. Verwilligen , W. Vetens , A. K. Virdi , P. Vitulo , A. Wajid , D. Wang , K. Wang , I. J. Watson , N. Wickramage , W. Jang , D. D. C. Wickramarathna , S. Yang , Y. Yang , U. Yang , J. Yongho , I. Yoon , Z. You , I. Yu , S. Zaleski

The Inert Doublet Model (IDM) is a simple extension of the Standard Model, introducing an additional Higgs doublet that brings in four new scalar particles. The lightest of the IDM scalars is stable and is a good candidate for a dark matter…

High Energy Physics - Phenomenology · Physics 2022-11-01 Jan Klamka , Aleksander Filip Zarnecki

GeV gamma ray is an important observation target of DArk Matter Particle Explorer (DAMPE) for indirect dark matter searching and high energy astrophysics. We present in this work a set of accurate instrument response functions of DAMPE…

This work is the second part of a simulation study investigating the processing of densely packed and moving granular assemblies by positron emission particle tracking (PEPT). Since medical PET scanners commonly used for PEPT are very…

Theoretical predictions in high energy physics are routinely provided in the form of Monte Carlo generators. Comparisons of predictions from different programs and/or different initialization set-ups are often necessary. MC-TESTER can be…

High Energy Physics - Phenomenology · Physics 2007-05-23 P. Golonka , T. Pierzchala , Z. Was

CRESST-II, standing for Cryogenic Rare Events Search with Superconducting Thermometers phase II, is an experiment searching for Dark Matter. In the LNGS facility in Gran Sasso, Italy, a cryogenic detector setup is operated in order to…

In order to develop a high spatial resolution (micron level) thermal neutron detector, a detector assembly composed of cerium doped lithium glass microfibers, each with a diameter of 1\,$\mu$m, is proposed, where the neutron absorption…

Instrumentation and Detectors · Physics 2016-06-14 Song Yushou , Joseph Conner , Xiaodong Zhang , Jason P. Hayward

Monte Carlo techniques, including MCMC and other methods, are widely used in Bayesian inference to generate sets of samples from a parameter space of interest. The Python GetDist package provides tools for analysing these samples and…

Instrumentation and Methods for Astrophysics · Physics 2025-08-11 Antony Lewis

Cosmic-Ray Neutron Sensing (CRNS) is a novel technique for determining environmental water content by measuring albedo neutrons in the epithermal to fast energy range with moderated neutron detectors. We have investigated the response…

Instrumentation and Detectors · Physics 2018-08-01 M. Köhli , M. Schrön , U. Schmidt

$P$-type high-purity germanium (HPGe) detectors are widely used across many scientific domains, and current data analysis methods have served well in many use cases. However, applications like low-background experiments that search for rare…

Instrumentation and Detectors · Physics 2026-03-10 P. Zhang , W. Dai , Q. Zhang , F. Hagemann , O. Schulz , C. Alvarez-Garcia , L. Yang , Q. Yue , Z. Zeng , J. Cheng , H. Ma

The CRESST experiment aims for a detection of dark matter in the form of WIMPs. These particles are expected to scatter elastically off the nuclei of a target material, thereby depositing energy on the recoiling nucleus. CRESST uses…

Geant4 is a Monte Carlo radiation transport toolkit that is becoming a tool of generalized application in areas such as high-energy physics, nuclear physics, astroparticle physics, or medical physics. Geant4 provides an optical physics…

Astrophysics · Physics 2009-06-23 João Costa , Mário Pimenta , Bernardo Tomé

Crystallization processes at the mesoscopic scale, where faceted, dendritic growth, and multigrain formation can be observed, are of particular interest within materials science and metallurgy. These processes are highly nonlinear,…

Machine Learning · Computer Science 2024-05-28 Pol Timmer , Koen Minartz , Vlado Menkovski