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Typically used as a tool for Monte Carlo simulation of high energy physics experiments, GEANT4 is increasingly being employed for the simulation of complex radiotherapy treatments. Often the specification of components within a clinical…

Medical Physics · Physics 2011-05-06 Christopher M Poole , Iwan Cornelius , Jamie V Trapp , Christian M Langton

The Booster Neutrino Experiment (MiniBooNE) searches for numu-to-nue oscillations using the O(1 GeV) neutrino beam produced by the Booster synchrotron at the Fermi National Accelerator Laboratory (FNAL). The Booster delivers protons with 8…

High Energy Physics - Experiment · Physics 2013-05-29 MiniBooNE Collaboration

The Geant4 toolkit is the leading software for the simulation of particle transport through matter, widely used in nuclear physics, high-energy physics, and medical physics. However, the initial learning curve for new developers can be…

High Energy Physics - Experiment · Physics 2026-01-14 Jing Liu

In Monte Carlo particle transport codes, it is often important to adjust reaction cross sections to reduce the variance of calculations of relatively rare events, in a technique known as non-analogous Monte Carlo. We present the theory and…

Computational Physics · Physics 2011-12-09 Marcus H. Mendenhall , Robert A. Weller

Based on the hadron transport frames, detailed simulations are carried out to discuss $\phi$, $\Omega$ productions and the significant enhancements in the very low $p_T$ region for some of the soft spectra in RHIC. Elastic interactions are…

Nuclear Theory · Physics 2007-06-25 Hong Miao , Chongshou Gao

We present a novel Python tool for the analysis of Geant4 simulations that enhances our understanding of coherent phenomena occurring during the interaction of charged particles with crystal planes. This tool compares the total energy of…

A R&D project, named Nano5, has been recently launched to study an architectural design in view of addressing new experimental issues related to particle transport in high energy physics and other related physics disciplines with Geant4. In…

A Monte Carlo framework, MaGe, has been developed based on the Geant4 simulation toolkit. Its purpose is to simulate physics processes in low-energy and low-background radiation detectors, specifically for the Majorana and Gerda $^{76}$Ge…

An event reweighting technique incorporated in multivariate training algorithm has been developed and tested using the Artificial Neural Networks (ANN) and Boosted Decision Trees (BDT). The event reweighting training are compared to that of…

Data Analysis, Statistics and Probability · Physics 2008-11-26 Hai-Jun Yang , Tiesheng Dai , Alan Wilson , Zhengguo Zhao , Bing Zhou

The plain text geometry description syntax in Geant4 has been extended to incorporate optical properties for bulk materials and surface interfaces. This extension enables users to configure and execute comprehensive optical simulations…

High Energy Physics - Experiment · Physics 2026-05-07 Ariestotle Raj Maharjan , Jianchen Li , Jing Liu

Neutrino oscillation experiments use Monte Carlo event generators to predict neutrino-nucleus interactions. Cross section uncertainties are typically implemented by varying the parameters of the model(s) used in the generator. We study the…

High Energy Physics - Phenomenology · Physics 2025-12-03 Jean Wolfs , Chris M. Marshall

Experiments measuring fission observables encounter false coincidences arising from timing overlap of separate fission product decays. Simulations of both fission observables and particles in detector systems exist, but have not yet been…

Instrumentation and Detectors · Physics 2025-06-10 Liam Walker , Jack Shire , Jacob Jaffe , Payton Sprando , Jack Olinger , Alexander Chemey

Matrix element reweighting is a powerful experimental technique widely employed to maximize the amount of information that can be extracted from a collider data set. We present a procedure that allows to automatically evaluate the weights…

High Energy Physics - Phenomenology · Physics 2011-02-02 P. Artoisenet , V. Lemaître , F. Maltoni , O. Mattelaer

As simulation system, the variety of physics processes implemented is one of the most important functionalities. In that sense, Geant4 is one of the most powerful simulation toolkits. Its flexibility and expansibility brought by…

Computational Physics · Physics 2007-05-23 K. Murakami , K. Amako , H. Hirayama , Y. Namito , T. Sasaki , M. Asai , T. Koi

In the past decade IceCube's observations have revealed a flux of astrophysical neutrinos extending to $10^{7}~\rm{GeV}$. The forthcoming generation of neutrino observatories promises to grant further insight into the high-energy neutrino…

High Energy Physics - Phenomenology · Physics 2022-06-15 Ibrahim Safa , Jeffrey Lazar , Alex Pizzuto , Oswaldo Vasquez , Carlos A. Argüelles , Justin Vandenbroucke

The expected high sensitivities of future neutrino oscillation experiments will allow precision tests of unified theories of flavour. In order to compare GUT scale predictions for neutrino masses, leptonic mixing angles and CP violating…

High Energy Physics - Phenomenology · Physics 2007-05-23 Stefan Antusch

The generation of unit-weight events for complex scattering processes presents a severe challenge to modern Monte Carlo event generators. Even when using sophisticated phase-space sampling techniques adapted to the underlying transition…

High Energy Physics - Phenomenology · Physics 2022-05-18 Katharina Danziger , Timo Janßen , Steffen Schumann , Frank Siegert

A macroscopic reconstruction is developed to infer iRPC performance using Geant4 observables and one experimental anchor. The Geant4 energy deposition is used to estimate the primary ionization yield, while the efficiency turn-on is modeled…

Instrumentation and Detectors · Physics 2025-12-17 V. O. Ramirez-Beltran , Cecilia Uribe Estrada , Mauricio Flores Geronimo , François Lagarde

We are given a set of elements in a metric space. The distribution of the elements is arbitrary, possibly adversarial. Can we weigh the elements in a way that is resistant to such (adversarial) manipulations? This problem arises in various…

Machine Learning · Computer Science 2026-02-18 Damien Berriaud , Roger Wattenhofer