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Human bias is capable of changing the analysis of measured data sufficiently to alter the results of an experiment. It is incumbent upon modern experiments, especially those investigating quantities considered contentious in the broader…

The elastic neutron-${}^3\mathrm{H}$ scattering at intermediate energies is studied using rigorous integral equations solved in the momentum-space partial-wave basis. The four-particle transition operators are expanded into…

Nuclear Theory · Physics 2025-02-24 A. Deltuva

Neutrino oscillation experiments use heavy nuclear targets to achieve sufficient interaction rates. Nuclear effects are introduced in the experimental environment by the use of these targets and need to be quantified as they add to the…

Nuclear Theory · Physics 2020-09-18 Jaydip Singh , Srishti Nagu , Jyotsna Singh , R. B. Singh

An efficient approach for the simulation of ion scattering from solids is proposed. For every encountered atom, we take multiple samples of its thermal displacements among those which result in scattering with high probability to finally…

Materials Science · Physics 2011-05-18 V. A. Khodyrev , R. Andrzejewski , A. Rivera , D. O. Boerma , J. E. Prieto

New physics contributions to the (anti)neutrino-nucleon elastic scattering process can be constrained by precision measurements, with controlled Standard Model uncertainties. In a large class of new physics models, interactions involving…

High Energy Physics - Phenomenology · Physics 2024-05-24 Oleksandr Tomalak , Minerba Betancourt , Kaushik Borah , Richard J. Hill , Thomas Junk

An open source software package for simulating thermal neutron propagation in geometry is presented. In this system, neutron propagation can be treated by either the particle transport method or the ray-tracing method. Supported by an…

Computational Physics · Physics 2023-12-05 Zi-Yi Pan , Ni Yang , Ming Tang , Peixun Shen , Xiao-Xiao Cai

Event datasets are sequences of events of various types occurring irregularly over the time-line, and they are increasingly prevalent in numerous domains. Existing work for modeling events using conditional intensities rely on either using…

Machine Learning · Computer Science 2020-02-25 Tian Gao , Dharmashankar Subramanian , Karthikeyan Shanmugam , Debarun Bhattacharjya , Nicholas Mattei

Within the calibration of material models, often the numerical results of a simulation model $y$ are compared with the experimental measurements $y^*$. Usually, the differences between measurements and simulation are minimized using least…

Materials Science · Physics 2024-08-14 Thomas Most

Small-angle scattering (SAS) is a key experimental technique for analyzing nano-scale structures in various materials.In SAS data analysis, selecting an appropriate mathematical model for the scattering intensity is critical, as it…

Data Analysis, Statistics and Probability · Physics 2024-01-22 Yui Hayashi , Shun Katakami , Shigeo Kuwamoto , Kenji Nagata , Masaichiro Mizumaki , Masato Okada

Low energy photon production is an important background to many current and future precision neutrino experiments. We present a phenomenological study of t-channel radiative corrections to neutral current neutrino nucleus scattering. After…

High Energy Physics - Phenomenology · Physics 2009-09-01 James Jenkins , Terry Goldman

Random matrix theory is a useful tool in the study of the physics of multiple scattering systems, often striking a balance between computation speed and physical rigour. Propagation of waves through thick disordered media, as arises in for…

Mathematical Physics · Physics 2024-05-07 Niall Byrnes , Gary R. W. Greaves , Matthew R. Foreman

We present a theoretical study of the potential of Principal Component Analysis to analyse magnetic diffuse neutron scattering data on quantum materials. To address this question, we simulate the scattering function…

Disordered Systems and Neural Networks · Physics 2021-07-13 Robert Twyman , Stuart J Gibson , James Molony , Jorge Quintanilla

The treatment of nuclear effects in neutrino-nucleus interactions is one of the main sources of systematic uncertainty for the analysis and interpretation of data of neutrino oscillation experiments. Neutrinos interact with nuclei via…

High Energy Physics - Phenomenology · Physics 2020-01-29 Carlotta Giusti , Martin V. Ivanov

Extracting information from stochastic fields or textures is a ubiquitous task in science, from exploratory data analysis to classification and parameter estimation. From physics to biology, it tends to be done either through a power…

Instrumentation and Methods for Astrophysics · Physics 2021-12-03 Sihao Cheng , Brice Ménard

Neural simulation-based inference is a powerful class of machine-learning-based methods for statistical inference that naturally handles high-dimensional parameter estimation without the need to bin data into low-dimensional summary…

Data Analysis, Statistics and Probability · Physics 2025-06-16 ATLAS Collaboration

A version of Geant4 has been developed to treat high-energy proton radiography. This article presents the results of calculations simulating the effects of nuclear elastic scattering for various test step wedges. Comparisons with…

Instrumentation and Detectors · Physics 2014-09-19 Xu Haibo , Zheng Na

In this paper we propose and explore a method of analysis of the scattering experimental data for uniform liquid-like systems. In our pragmatic approach we are not trying to introduce by hands an artificial small parameter to work out a…

Soft Condensed Matter · Physics 2018-01-24 E. I. Kats , A. R. Muratov

Forthcoming fixed-target coherent elastic neutrino-nucleus scattering experiments aim at measurements with $\cal{O}(\text{tonne})$-scale detectors and substantially reduced systematic and statistical uncertainties. With such high quality…

High Energy Physics - Phenomenology · Physics 2023-08-30 D. Aristizabal Sierra
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