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Monte Carlo maximum likelihood (MCML) provides an elegant approach to find maximum likelihood estimators (MLEs) for latent variable models. However, MCML algorithms are computationally expensive when the latent variables are…

Computation · Statistics 2020-08-05 Jaewoo Park , Murali Haran

Monte Carlo event generators are a critical tool for the interpretation of data obtained by neutrino experiments. Several modern event generators are available which are well-suited to the GeV energy scale used in studies of accelerator…

Nuclear Theory · Physics 2021-11-29 Steven Gardiner

We describe the Monte Carlo event generator WOPPER for four fermion production through W-pairs including resummed leading logarithmic QED radiative corrections.

High Energy Physics - Experiment · Physics 2007-05-23 Harald Anlauf , Hans Dieter Dahmen , Angelika Himmler , Panagiotis Manakos , Thorsten Ohl , Thomas Mannel

Apple Neural Engine (ANE) is a dedicated neural processing unit (NPU) present in every Apple Silicon chip. Mixture-of-Experts (MoE) LLMs improve inference efficiency via sparse activation but are challenging for NPUs in three ways: expert…

Machine Learning · Computer Science 2026-04-22 Afsara Benazir , Felix Xiaozhu Lin

EDDE is a Monte Carlo event generator, under construction, for different Exclusive Double Diffractive Events. The program is based on the extended Regge-eikonal approach for "soft" processes. Standard Model and its extensions are used for…

High Energy Physics - Phenomenology · Physics 2007-05-23 V. A. Petrov , R. A. Ryutin , A. E. Sobol , J. -P. Guillaud

Muon production requirements for a muon collider are presented. Production of muons from pion decay is studied. Lithium lenses and solenoids are considered for focussing pions from a target, and for matching the pions into a decay channel.…

acc-phys · Physics 2014-10-09 R. B. Palmer , J. C. Gallardo , R. C. Fernow , Y. Torun , D. Neuffer , D. Winn

We developed a Monte Carlo event generator for production of nucleon configurations in complex nuclei consistently including effects of Nucleon-Nucleon (NN) correlations. Our approach is based on the Metropolis search for configurations…

Nuclear Theory · Physics 2013-05-14 M. Alvioli , H. -J. Drescher , M. Strikman

Neutrino telescopes are opening new opportunities in observational high energy astrophysics. In these detectors, atmospheric muons from primary cosmic ray interactions in the atmosphere play an important role. They provide the most abundant…

Instrumentation and Methods for Astrophysics · Physics 2009-08-03 G. Carminati , M. Bazzotti , S. Biagi , S. Cecchini , T. Chiarusi , A. Margiotta , M. Sioli , M. Spurio

One of purposes for High Energy accelerator experiments is confrontation of theory and measurements in ever new realms. Any new agreement extends theory applicability domain, any discrepancy hints to unexplained. That calls for better…

High Energy Physics - Phenomenology · Physics 2025-07-23 Z. Was

Monte Carlo event generators are an essential tool for data analysis in collider physics. To include subleading quantum corrections, these generators often need to produce negative weight events, which leads to statistical dilution of the…

High Energy Physics - Phenomenology · Physics 2020-10-21 Benjamin Nachman , Jesse Thaler

This paper is a long write-up of ERATO. ERATO is a Monte Carlo event generator describing four fermion production at LEP2 and beyond. All tree-order processes leading to four fermions are included, taking into account all relevant QCD…

High Energy Physics - Phenomenology · Physics 2009-10-28 Costas G. Papadopoulos

Recently, various cross sections of e+e- annihilation into hadrons were accurately measured in the energy range from 0.37 to 1.39 GeV with the CMD-2 detector at the VEPP-2M collider. In the pi+pi- channel a systematic uncertainty of 0.6%…

High Energy Physics - Phenomenology · Physics 2009-01-07 A. B. Arbuzov , G. V. Fedotovich , F. V. Ignatov , E. A. Kuraev , A. L. Sibidanov

Monte Carlo generation of high energy particle collisions is a critical tool for both theoretical and experimental particle physics, connecting perturbative calculations to phenomenological models, and theory predictions to full detector…

High Energy Physics - Phenomenology · Physics 2020-09-23 Philip Ilten

The MUonE experiment aims at providing a novel determination of the leading hadronic contribution to the muon anomalous magnetic moment through the study of elastic muon-electron scattering. Since the initial-state electrons are bound in a…

High Energy Physics - Phenomenology · Physics 2024-05-31 G. Abbiendi , E. Budassi , C. M. Carloni Calame , A. Gurgone , F. Piccinini

EDDE is a Monte Carlo event generator for different Exclusive and Semi-Inclusive Double Diffractive processes. The program is based on the extended Regge-eikonal approach for "soft" processes. Standard Model and its extensions are used for…

High Energy Physics - Phenomenology · Physics 2007-11-15 V. A. Petrov , R. A. Ryutin , A. E. Sobol , J. -P. Guillaud

This paper describes a new multipurpose event generator, ESEPP, which has been developed for the Monte Carlo simulation of unpolarized elastic scattering of charged leptons on protons. The generator takes into account the lowest-order QED…

The status of Monte Carlo system for the simulation of tau-lepton production and decay in high-energy accelerator experiments is reviewed. Since previous tau-lepton conference in 2008 some practical modifications have been introduced: (i)…

High Energy Physics - Phenomenology · Physics 2015-03-17 Zbigniew Was

Monte Carlo event generators are in a modern terminology the digital twins of collider-based particle physics experiment. We give an introduction into the application of MC generators for particle physics, discuss their different components…

High Energy Physics - Phenomenology · Physics 2025-09-29 Jürgen Reuter

In view of the forthcoming experiments at high energy $e^+ e^-$ colliders, LEP2 and beyond, the process $e^+ e^- \to W^+ W^- \to 4f$ has been investigated for {\it off-shell} $W$'s. After deriving the matrix element for the process within…

High Energy Physics - Phenomenology · Physics 2009-10-28 G. Montagna , O. Nicrosini , G. Passarino , F. Piccinini

The increasing interest in TinyML, i.e., near-sensor machine learning on power budgets of a few tens of mW, is currently pushing toward enabling TinyML-class training as opposed to inference only. Current training algorithms, based on…

Hardware Architecture · Computer Science 2023-05-09 Yvan Tortorella , Luca Bertaccini , Luca Benini , Davide Rossi , Francesco Conti