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Multivariate probit models (MPM) have the appealing feature of capturing some of the dependence structure between the components of multidimensional binary responses. The key for the dependence modelling is the covariance matrix of an…

Methodology · Statistics 2013-11-15 Giusi Moffa , Jack Kuipers

The Monte Carlo event generators (MC) are used for the simulation of different processes in high energy physics. To achieve the best description of the data, the parameters of simulations are adjusted (tuned) with different methods. In this…

High Energy Physics - Experiment · Physics 2018-01-23 Fabian Klimpel

A new version of CARLOMAT that allows to generate automatically the Monte Carlo programs dedicated to the description of the processes e+e- -> hadrons at low center-of-mass energies is presented. The program has been substantially modified…

High Energy Physics - Phenomenology · Physics 2015-09-23 Karol Kolodziej

ISAJET is a Monte Carlo program which simulates $pp, \bar pp$ and $e^+e^-$ interactions at high energies. This document summarizes the physics underlying the program and describes how to use it. New features of Version 7.40 include…

High Energy Physics - Phenomenology · Physics 2007-05-23 H. Baer , F. E. Paige , S. D. Protopescu , X. Tata

Rate-dependent effects in the electronics used to instrument the tagger focal plane at the MAX IV Laboratory were recently investigated using the novel approach of Monte Carlo simulation to allow for normalization of high-rate experimental…

Instrumentation and Detectors · Physics 2014-03-11 M. F. Preston , L. S. Myers , J. R. M. Annand , K. G. Fissum , K. Hansen , L. Isaksson , R. Jebali , M. Lundin

The e+e- linear collider physics programme sets highly demanding requirements on the accurate determination of charged particle trajectories close to their production point. A new generation of Vertex Trackers, based on different…

High Energy Physics - Experiment · Physics 2007-05-23 Marco Battaglia , Massimo Caccia

Monte Carlo simulations are a unique tool to check the response of a detector and to monitor its performance. For a deep-sea neutrino telescope, the variability of the environmental conditions that can affect the behaviour of the data…

High Energy Astrophysical Phenomena · Physics 2021-02-03 The ANTARES Collaboration , A. Albert , M. André , M. Anghinolfi , G. Anton , M. Ardid , J. -J. Aubert , J. Aublin , B. Baret , S. Basa , B. Belhorma , V. Bertin , S. Biagi , M. Bissinger , J. Boumaaza , M. Bouta , M. C. Bouwhuis , H. Branzas , R. Bruijn , J. Brunner , J. Busto , A. Capone , L. Caramete , J. Carr , S. Cecchini , S. Celli , M. Chabab , T. N. Chau , R. Cherkaoui El Moursli , T. Chiarusi , M. Circella , A. Coleiro , M. Colomer-Molla , R. Coniglione , P. Coyle , A. Creusot , A. F. Diaz , G. de Wasseige , A. Deschamps , C. Distefano , I. Di Palma , A. Domi , C. Donzaud , D. Dornic , D. Drouhin , T. Eberl , N. El Khayati , A. Enzenhofer , A. Ettahiri , P. Fermani , G. Ferrara , F. Filippini , L. Fusco , P. Gay , H. Glotin , R. Gozzini , K. Graf , C. Guidi , S. Hallmann , H. van Haren , A. J. Heijboer , Y. Hello , J. J. Hernandez-Rey , J. Hossl , J. Hofestadt , F. Huang , G. Illuminati , C. W. James , M. de Jong , P. de Jong , M. Jongen , M. Kadler , O. Kalekin , U. Katz , N. R. Khan-Chowdhury , A. Kouchner , I. Kreykenbohm , V. Kulikovskiy , R. Lahmann , R. Le Breton , D. Lefevre , E. Leonora , G. Levi , M. Lincetto , D. Lopez-Coto , S. Loucatos , J. Manczak , M. Marcelin , A. Margiotta , A. Marinelli , J. A. Martinez-Mora , S. Mazzou , K. Melis , P. Migliozzi , M. Moser , A. Moussa , R. Muller , L. Nauta , S. Navas , E. Nezri , A. Nunez-Castineyra , B. O'Fearraigh , M. Organokov , G. E. Pavalas , C. Pellegrino , M. Perrin-Terrin , P. Piattelli , C. Poirè , V. Popa , T. Pradier , N. Randazzo , S. Reck , G. Riccobene , F. Salesa , A. Sanchez-Losa , D. F. E. Samtleben , M. Sanguineti , P. Sapienza , J. Schnabel , F. Schussler , M. Spurio , Th. Stolarczyk , B. Strandberg , M. Taiuti , Y. Tayalati , T. Thakore , S. J. Tingay , B. Vallage , V. Van Elewyck , F. Versari , S. Viola , D. Vivolo , J. Wilms , A. Zegarelli , J. D. Zornoza , J. Zuniga

This paper investigates approaches to parallelizing Bounded Model Checking (BMC) for shared memory environments as well as for clusters of workstations. We present a generic framework for parallelized BMC named Tarmo. Our framework can be…

Logic in Computer Science · Computer Science 2009-12-15 Siert Wieringa , Matti Niemenmaa , Keijo Heljanko

Inspired by the latest developments in multilevel Monte Carlo (MLMC) methods and randomised sketching for linear algebra problems we propose a MLMC estimator for real-time processing of matrix structured random data. Our algorithm is…

Numerical Analysis · Mathematics 2020-04-30 Yue Wu , Nick Polydorides

The status of the Monte Carlo programs for the simulation of the tau-lepton production and decay in high energy accelerator experiments is reviewed. In particular, the status of the following packages is discussed: (i) TAUOLA for tau-lepton…

High Energy Physics - Phenomenology · Physics 2009-11-07 Z. Was

This extended abstract briefly summarizes ongoing research activity on the evaluation and experimental validation of physics methods for photon and electron transport. The analysis includes physics models currently implemented in Geant4 as…

A set of physics models for nanodosimetry simulation is being re-engineered for use in Geant4-based simulations. This extension of Geant4 capabilities is part of a larger scale R&D project for multi-scale simulation involving adaptable,…

Computational Physics · Physics 2009-12-10 E. Gargioni , V. Grichine , M. G. Pia

We introduce Co-DETECT (Collaborative Discovery of Edge cases in TExt ClassificaTion), a novel mixed-initiative annotation framework that integrates human expertise with automatic annotation guided by large language models (LLMs). Co-DETECT…

The need for simulated data in autonomous driving applications has become increasingly important, both for validation of pretrained models and for training new models. In order for these models to generalize to real-world applications, it…

Computer Vision and Pattern Recognition · Computer Science 2019-05-21 Åsmund Brekke , Fredrik Vatsendvik , Frank Lindseth

A novel algorithm for computing the action of a matrix exponential over a vector is proposed. The algorithm is based on a multilevel Monte Carlo method, and the vector solution is computed probabilistically generating suitable random paths…

Numerical Analysis · Mathematics 2019-07-05 Juan A. Acebron , Jose R. Herrero , Jose Monteiro

A new release of the Monte Carlo program Herwig++ (version 2.3) is now available. This version includes a number of improvements including: the extension of the program to lepton-hadron collisions; the inclusion of several processes…

High Energy Physics - Phenomenology · Physics 2008-12-03 M. Bahr , S. Gieseke , M. Gigg , D. Grellscheid , K. Hamilton , S. Platzer , P. Richardson , M. H. Seymour , J. Tully

We develop a quantum Monte Carlo method for many fermions that allows the use of any one-particle basis. It projects out the ground state by random walks in the space of Slater determinants. An approximate approach is formulated to control…

Condensed Matter · Physics 2009-02-20 Shiwei Zhang , Henry Krakauer

Monte Carlo simulations are a crucial tool for the analysis and prediction of various background components in liquid xenon (LXe) detectors. With improving shielding in new experiments, the simulation of external backgrounds, such as…

Instrumentation and Detectors · Physics 2021-03-31 S. Bruenner , A. P. Colijn , M. P. Decowski , O. V. Kesber

We present the original computer code for the simulation of multi-element detection system of the compact positron-emission tomograph based on a scintillator-photodiode type of detection elements. The use of such type of detection elements…

Medical Physics · Physics 2017-05-08 Alex Fomin

A standard way to move particles in a SMC sampler is to apply several steps of a MCMC (Markov chain Monte Carlo) kernel. Unfortunately, it is not clear how many steps need to be performed for optimal performance. In addition, the output of…

Computation · Statistics 2021-08-24 Hai-Dang Dau , Nicolas Chopin