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The detection of air-shower events via radio signals requires to develop a trigger algorithm for a clean discrimination between signal and background events in order to reduce the data stream coming from false triggers. In this contribution…

Instrumentation and Methods for Astrophysics · Physics 2018-12-11 Florian Führer , Tom Charnock , Anne Zilles , Matias Tueros

We show how a careful analysis of the behaviour of a parton shower Monte Carlo in the vicinity of the soft and collinear regions allows one to formulate a modified MC@NLO-matching prescription that reduces the number of negative-weight…

High Energy Physics - Phenomenology · Physics 2020-08-26 R. Frederix , S. Frixione , S. Prestel , P. Torrielli

The leptonic decays of the heavy gauge bosons W and/or Z provide a clear experimental signature at hadron colliders. The production of accompanying jets is an excellent signal to probe QCD, while also being the main background to many…

High Energy Physics - Phenomenology · Physics 2015-03-18 Flavia A. Dias , Emily Nurse , Gavin Hesketh

We present the first purely event-based, energy-efficient approach for object detection and categorization using an event camera. Compared to traditional frame-based cameras, choosing event cameras results in high temporal resolution (order…

Computer Vision and Pattern Recognition · Computer Science 2019-04-30 Bharath Ramesh , Andres Ussa , Luca Della Vedova , Hong Yang , Garrick Orchard

The matrix element technique provides a superior statistical sensitivity for precision measurements of important parameters at hadron colliders, such as the mass of the top quark or the cross section for the production of Higgs bosons. The…

High Energy Physics - Experiment · Physics 2014-11-20 Oleg Brandt , Gaston Gutierrez , Michael H. L. S. Wang , Zhenyu Ye

We report on a high-precision calculation of the Bhabha process in QED, of interest for precise luminosity determination of low-energy electron-positron colliders. The calculation is based on the matching of exact next-to-leading order…

High Energy Physics - Phenomenology · Physics 2007-05-23 G. Balossini , C. M. Carloni Calame , G. Montagna , O. Nicrosini , F. Piccinini

This paper presents a product to sum approach for a fast and efficient matrix filling in a hierarchical finite-element method (FEM). Due to the existence of a coupling factor arising from the material and Jacobian inhomogeneities in curved…

Numerical Analysis · Mathematics 2017-03-29 Ehsan Khodapanah

Large logarithms that arise in cross sections due to the collinear and soft singularities of QCD are traditionally treated using parton showers or analytic resummation. Parton showers provide a fully-differential description of an event but…

High Energy Physics - Phenomenology · Physics 2020-01-08 Gillian Lustermans , Andreas Papaefstathiou , Wouter J. Waalewijn

Momentum-space derivatives of matrix elements can be related to their coordinate-space moments through the Fourier transform. We derive these expressions as a function of momentum transfer $Q^2$ for asymptotic in/out states consisting of a…

High Energy Physics - Lattice · Physics 2016-10-10 Chris Bouchard , Chia Cheng Chang , Kostas Orginos , David Richards

In this article we present a neural network based model to emulate matrix elements. This model improves on existing methods by taking advantage of the known factorisation properties of matrix elements. In so doing we can control the…

High Energy Physics - Phenomenology · Physics 2021-12-01 Daniel Maître , Henry Truong

Multi-scale architecture, including hierarchical vision transformer, has been commonly applied to high-resolution semantic segmentation to deal with computational complexity with minimum performance loss. In this paper, we propose a novel…

Computer Vision and Pattern Recognition · Computer Science 2024-06-17 Jiwon Yoo , Jangwon Lee , Gyeonghwan Kim

Matrix completion tackles the task of predicting missing values in a low-rank matrix based on a sparse set of observed entries. It is often assumed that the observation pattern is generated uniformly at random or has a very specific…

Machine Learning · Statistics 2025-03-18 Yudong Chen , Xumei Xi , Christina Lee Yu

Monte Carlo event generators for hard hadronic collisions depend on the evolution of parton showers backwards from a high-scale subprocess to the hadronization scale. The evolution is treated as a branching process with a sequence of…

High Energy Physics - Phenomenology · Physics 2024-04-16 Stefano Frixione , Bryan R. Webber

Optimization of the SPHERE-3 detector configuration, designed to study the mass composition of primary cosmic rays in the energy range 1--1000 PeV by registering Cherenkov light reflected from the snow surface, requires simulation of a…

Instrumentation and Methods for Astrophysics · Physics 2026-03-11 V. A. Ivanov , V. I. Galkin , E. A. Bonvech , O. V. Cherkesova , D. V. Chernov , T. A. Kolodkin , N. O. Ovcharenko , D. A. Podgrudkov , T. M. Roganova , M. D. Ziva

New machine learning based algorithms have been developed and tested for Monte Carlo integration based on generative Boosted Decision Trees and Deep Neural Networks. Both of these algorithms exhibit substantial improvements compared to…

High Energy Physics - Phenomenology · Physics 2017-07-04 Joshua Bendavid

In this paper, we develop efficient and accurate algorithms for evaluating $\varphi(A)$ and $\varphi(A)b$, where $A$ is an $N\times N$ matrix, $b$ is an $N$ dimensional vector and $\varphi$ is the function defined by…

Numerical Analysis · Mathematics 2021-01-26 Siyu Yang , Dongping Li

A large part of the geometry of array antennas is often partially defined by finite translational symmetries. Applying the method of moments (MoM) with the RWG-like element on an appropriately structured mesh to these arrays results in an…

Numerical Analysis · Mathematics 2026-02-18 Lucas Åkerstedt , Harald Hultin , B. L. G. Jonsson

A novel algorithm to reconstruct neutrino-induced particle showers within the ANTARES neutrino telescope is presented. The method achieves a median angular resolution of $6^\circ$ for shower energies below 100 TeV. Applying this algorithm…

High Energy Astrophysical Phenomena · Physics 2017-06-29 ANTARES Collaboration , A. Albert , M. André , M. Anghinolfi , G. Anton , M. Ardid , J. -J. Aubert , T. Avgitas , B. Baret , J. Barrios-Martí , S. Basa , V. Bertin , S. Biagi , R. Bormuth , S. Bourret , M. C. Bouwhuis , R. Bruijn , J. Brunner , J. Busto , A. Capone , L. Caramete , J. Carr , S. Celli , T. Chiarusi , M. Circella , J. A. B. Coelho , A. Coleiro , R. Coniglione , H. Costantini , P. Coyle , A. Creusot , A. Deschamps , G. De Bonis , C. Distefano , I. Di Palma , A. Domi , C. Donzaud , D. Dornic , D. Drouhin , T. Eberl , I. El Bojaddaini , D. Elsässer , A. Enzenhöfer , I. Felis , F. Folger , L. A. Fusco , S. Galatà , P. Gay , V. Giordano , H. Glotin , T. Grégoire , R. Gracia Ruiz , K. Graf , S. Hallmann , H. van Haren , A. J. Heijboer , Y. Hello , J. J. Hernández-Rey , J. Hößl , J. Hofestädt , C. Hugon , G. Illuminati , C. W. James , M. de Jong , M. Jongen , M. Kadler , O. Kalekin , U. Katz , D. Kießling , A. Kouchner , M. Kreter , I. Kreykenbohm , V. Kulikovskiy , C. Lachaud , R. Lahmann , D. Lefèvre , E. Leonora , M. Lotze , S. Loucatos , M. Marcelin , A. Margiotta , A. Marinelli , J. A. Martínez-Mora , R. Mele , K. Melis , T. Michael , P. Migliozzi , A. Moussa , E. Nezri , M. Organokov , G. E. Păvălaş , C. Pellegrino , C. Perrina , P. Piattelli , V. Popa , T. Pradier , L. Quinn , C. Racca , G. Riccobene , A. Sánchez-Losa , M. Saldaña , I. Salvadori , D. F. E. Samtleben , M. Sanguineti , P. Sapienza , F. Schüssler , C. Sieger , M. Spurio , Th. Stolarczyk , M. Taiuti , Y. Tayalati , A. Trovato , D. Turpin , C. Tönnis , B. Vallage , V. Van Elewyck , F. Versari , D. Vivolo , A. Vizzoca , J. Wilms , J. D. Zornoza , J. Zúñiga

We evaluate the theoretical uncertainties in next-to-leading order plus parton shower predictions for top quark pair production and decay in hadronic collisions. Our work is carried out using the Herwig 7 event generator and presents an…

High Energy Physics - Phenomenology · Physics 2020-01-08 Kyle Cormier , Simon Plätzer , Christian Reuschle , Peter Richardson , Stephen Webster

This work concerns elementwise-transformations of spiked matrices: $Y_n = n^{-1/2} f( \sqrt{n} X_n + Z_n)$. Here, $f$ is a function applied elementwise, $X_n$ is a low-rank signal matrix, and $Z_n$ is white noise. We find that principal…

Statistics Theory · Mathematics 2025-04-21 Michael J. Feldman
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