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Related papers: HighTEA: High energy Theory Event Analyser

200 papers

The detection of ultra-high-energy (UHE) neutrinos in the EeV range is the goal of current and future in-ice radio arrays at the South Pole and in Greenland. Here, we present a deep neural network that can reconstruct the main neutrino…

Instrumentation and Methods for Astrophysics · Physics 2026-04-14 Nils Heyer , Christian Glaser , Thorsten Glüsenkamp , Martin Ravn

Electronic control units (ECUs) embedded within modern vehicles generate a large number of asynchronous events known as diagnostic trouble codes (DTCs). These discrete events form complex temporal sequences that reflect the evolving health…

Artificial Intelligence · Computer Science 2026-03-20 Hugo Math

We present a new publicly available dataset that contains simulated data of a novel calorimeter to be installed at the CERN Large Hadron Collider. This detector will have more than six-million channels with each channel capable of position,…

High Energy Physics - Experiment · Physics 2023-09-14 Roger Rusack , Bhargav Joshi , Alpana Alpana , Seema Sharma , Thomas Vadnais

In very high energy collisions, many particles are produced and distributed in the available phase space volume in various ways. With advent of new accelerator facilities (especially, for nucleus-nucleus collisions), the problem of pattern…

High Energy Physics - Experiment · Physics 2015-06-25 N. M. Astafyeva , I. M. Dremin , K. A. Kotelnikov

Chapter 5 in High-Luminosity Large Hadron Collider (HL-LHC) : Preliminary Design Report. The Large Hadron Collider (LHC) is one of the largest scientific instruments ever built. Since opening up a new energy frontier for exploration in…

A machine learning technique is used to fit multiplicity distributions in high-energy proton-proton collisions and applied to make predictions for collisions at higher energies. The method is tested with Monte Carlo event generator events.…

High Energy Physics - Experiment · Physics 2021-08-16 E. Shokr , A. De Roeck , M. A. Mahmoud

The increasing data rates in modern high-energy physics experiments such as ALICE at the LHC and the upcoming ePIC experiment at the Electron-Ion Collider (EIC) present significant challenges in real-time event selection and data storage.…

High Energy Physics - Experiment · Physics 2025-06-24 Simone Ragoni , Janet Seger , Christopher Anson , David Tlusty

The Particle Flow (PFlow) approach to calorimetry promises to deliver unprecedented jet energy resolution for experiments at future high energy colliders such as the proposed International Linear Collider (ILC). This paper describes the…

Instrumentation and Detectors · Physics 2009-11-18 M. A. Thomson

Merging the benefits of an NLO calculation with event generators is a topic of current interest. Among other things, it is advantageous to be able to generate unweighted events according to NLO matrix elements. I report on an algorithm…

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

State-of-the-art theoretical predictions accurate to next-to-leading order QCD interfaced with {\sc pythia} and {\sc herwig} are tested by comparing the unfolded $t\bar{t}$ differential data collected with the CMS detector at 8 TeV and 13…

High Energy Physics - Experiment · Physics 2019-08-13 B. Bilin

Process mining methods often analyze processes in terms of the individual end-to-end process runs. Process behavior, however, may materialize as a general state of many involved process components, which can not be captured by looking at…

Databases · Computer Science 2022-11-02 Bianka Bakullari , Wil M. P. van der Aalst

Chapter 2 in High-Luminosity Large Hadron Collider (HL-LHC) : Preliminary Design Report. The Large Hadron Collider (LHC) is one of the largest scientific instruments ever built. Since opening up a new energy frontier for exploration in…

The Large Hadron Electron Collider (LHeC) project is the proposal to use the existing LHC proton/ion beams and construct a new electron beam line to perform high-energy electron-proton/ion collisions. In this talk, we consider some of the…

High Energy Physics - Phenomenology · Physics 2015-10-02 Ilkka Helenius , Hannu Paukkunen , Néstor Armesto

Discovering novel high-entropy alloys (HEAs) with desirable properties is challenging due to the vast compositional space and complex phase formation mechanisms. Efficient exploration of this space requires a strategic approach that…

High-energy accelerators are large projects funded by public money, developed over the years and constructed via major industrial contracts both in advanced technology and in more conventional domains such as civil engineering and…

Accelerator Physics · Physics 2012-07-23 Philippe Lebrun , Peter Garbincius

We present version 2.1 of the High Energy Jets (HEJ) event generator for hadron colliders. HEJ is a Monte Carlo generator for processes at high energies with multiple well-separated jets in the final state. To achieve accurate predictions,…

High Energy Physics - Phenomenology · Physics 2022-06-01 Jeppe R. Andersen , James Black , Helen Brooks , Bertrand Ducloué , Marian Heil , Andreas Maier , Jennifer M. Smillie

The Large Hadron electron Collider (LHeC) is designed to move the field of deep inelastic scattering (DIS) to the energy and intensity frontier of particle physics. Exploiting energy recovery technology, it collides a novel, intense…

High Energy Physics - Experiment · Physics 2022-09-20 P. Agostini , H. Aksakal , S. Alekhin , P. P. Allport , N. Andari , K. D. J. Andre , D. Angal-Kalinin , S. Antusch , L. Aperio Bella , L. Apolinario , R. Apsimon , A. Apyan , G. Arduini , V. Ari , A. Armbruster , N. Armesto , B. Auchmann , K. Aulenbacher , G. Azuelos , S. Backovic , I. Bailey , S. Bailey , F. Balli , S. Behera , O. Behnke , I. Ben-Zvi , M. Benedikt , J. Bernauer , S. Bertolucci , S. S. Biswal , J. Blümlein , A. Bogacz , M. Bonvini , M. Boonekamp , F. Bordry , G. R. Boroun , L. Bottura , S. Bousson , A. O. Bouzas , C. Bracco , J. Bracinik , D. Britzger , S. J. Brodsky , C. Bruni , O. Brüning , H. Burkhardt , O. Cakir , R. Calaga , A. Caldwell , A. Calıskan , S. Camarda , N. C. Catalan-Lasheras , K. Cassou , J. Cepila , V. Cetinkaya , V. Chetvertkova , B. Cole , B. Coleppa , A. Cooper-Sarkar , E. Cormier , A. S. Cornell , R. Corsini , E. Cruz-Alaniz , J. Currie , D. Curtin , M. D'Onofrio , J. Dainton , E. Daly , A. Das , S. P. Das , L. Dassa , J. de Blas , L. Delle Rose , H. Denizli , K. S. Deshpande , D. Douglas , L. Duarte , K. Dupraz , S. Dutta , A. V. Efremov , R. Eichhorn , K. J. Eskola , E. G. Ferreiro , O. Fischer , O. Flores-Sánchez , S. Forte , A. Gaddi , J. Gao , T. Gehrmann , A. Gehrmann-De Ridder , F. Gerigk , A. Gilbert , F. Giuli , A. Glazov , N. Glover , R. M. Godbole , B. Goddard , V. Gonçalves , G. A. Gonzalez-Sprinberg , A. Goyal , J. Grames , E. Granados , A. Grassellino , Y. O. Gunaydin , Y. C. Guo , V. Guzey , C. Gwenlan , A. Hammad , C. C. Han , L. Harland-Lang , F. Haug , F. Hautmann , D. Hayden , J. Hessler , I. Helenius , J. Henry , J. Hernandez-Sanchez , H. Hesari , T. J. Hobbs , N. Hod , G. H. Hoffstaetter , B. Holzer , C. G. Honorato , B. Hounsell , N. Hu , F. Hug , A. Huss , A. Hutton , R. Islam , S. Iwamoto , S. Jana , M. Jansova , E. Jensen , T. Jones , J. M. Jowett , W. Kaabi , M. Kado , D. A. Kalinin , H. Karadeniz , S. Kawaguchi , U. Kaya , R. A. Khalek , H. Khanpour , A. Kilic , M. Klein , U. Klein , S. Kluth , M. Köksal , F. Kocak , M. Korostelev , P. Kostka , M. Krelina , J. Kretzschmar , S. Kuday , G. Kulipanov , M. Kumar , M. Kuze , T. Lappi , F. Larios , A. Latina , P. Laycock , G. Lei , E. Levitchev , S. Levonian , A. Levy , R. Li , X. Li , H. Liang , V. Litvinenko , M. Liu , T. Liu , W. Liu , Y. Liu , S. Liuti , E. Lobodzinska , D. Longuevergne , X. Luo , W. Ma , M. Machado , S. Mandal , H. Mäntysaari , F. Marhauser , C. Marquet , A. Martens , R. Martin , S. Marzani , J. McFayden , P. Mcintosh , B. Mellado , F. Meot , A. Milanese , J. G. Milhano , B. Militsyn , M. Mitra , S. Moch , M. Mohammadi Najafabadi , S. Mondal , S. Moretti , T. Morgan , A. Morreale , P. Nadolsky , F. Navarra , Z. Nergiz , P. Newman , J. Niehues , E. A. Nissen , M. Nowakowski , N. Okada , G. Olivier , F. Olness , G. Olry , J. A. Osborne , A. Ozansoy , R. Pan , B. Parker , M. Patra , H. Paukkunen , Y. Peinaud , D. Pellegrini , G. Perez-Segurana , D. Perini , L. Perrot , N. Pietralla , E. Pilicer , B. Pire , J. Pires , R. Placakyte , M. Poelker , R. Polifka , A. Polini , P. Poulose , G. Pownall , Y. A. Pupkov , F. S. Queiroz , K. Rabbertz , V. Radescu , R. Rahaman , S. K. Rai , N. Raicevic , P. Ratoff , A. Rashed , D. Raut , S. Raychaudhuri , J. Repond , A. H. Rezaeian , R. Rimmer , L. Rinolfi , J. Rojo , A. Rosado , X. Ruan , S. Russenschuck , M. Sahin , C. A. Salgado , O. A. Sampayo , K. Satendra , N. Satyanarayan , B. Schenke , K. Schirm , H. Schopper , M. Schott , D. Schulte , C. Schwanenberger , T. Sekine , A. Senol , A. Seryi , S. Setiniyaz , L. Shang , X. Shen , N. Shipman , N. Sinha , W. Slominski , S. Smith , C. Solans , M. Song , H. Spiesberger , J. Stanyard , A. Starostenko , A. Stasto , A. Stocchi , M. Strikman , M. J. Stuart , S. Sultansoy , H. Sun , M. Sutton , L. Szymanowski , I. Tapan , D. Tapia-Takaki , M. Tanaka , Y. Tang , A. T. Tasci , A. T. Ten-Kate , P. Thonet , R. Tomas-Garcia , D. Tommasini , D. Trbojevic , M. Trott , I. Tsurin , A. Tudora , I. Turk Cakir , K. Tywoniuk , C. Vallerand , A. Valloni , D. Verney , E. Vilella , D. Walker , S. Wallon , B. Wang , K. Wang , K. Wang , X. Wang , Z. S. Wang , H. Wei , C. Welsch , G. Willering , P. H. Williams , D. Wollmann , C. Xiaohao , T. Xu , C. E. Yaguna , Y. Yamaguchi , Y. Yamazaki , H. Yang , A. Yilmaz , P. Yock , C. X. Yue , S. G. Zadeh , O. Zenaiev , C. Zhang , J. Zhang , R. Zhang , Z. Zhang , G. Zhu , S. Zhu , F. Zimmermann , F. Zomer , J. Zurita , P. Zurita

Hierarchical conjunctive queries (HCQ) are a subclass of conjunctive queries (CQ) with robust algorithmic properties. Among others, Berkholz, Keppeler, and Schweikardt have shown that HCQ is the subclass of CQ (without projection) that…

Databases · Computer Science 2024-08-06 Dante Pinto , Cristian Riveros

Power grids are critical infrastructure assets that face non-technical losses (NTL) such as electricity theft or faulty meters. NTL may range up to 40% of the total electricity distributed in emerging countries. Industrial NTL detection…