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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

Algorithms based on the particle flow approach are becoming increasingly utilized in collider experiments due to their superior jet energy and missing energy resolution compared to the traditional calorimeter-based measurements. Such…

High Energy Physics - Experiment · Physics 2015-03-20 Andrey Elagin , Pavel Murat , Alexandre Pranko , Alexei Safonov

In High Energy Physics experiments Particle Flow (PFlow) algorithms are designed to provide an optimal reconstruction of the nature and kinematic properties of the particles produced within the detector acceptance during collisions. At the…

Data Analysis, Statistics and Probability · Physics 2021-02-10 Francesco Armando Di Bello , Sanmay Ganguly , Eilam Gross , Marumi Kado , Michael Pitt , Lorenzo Santi , Jonathan Shlomi

The current developments for future electron-positron colliders are driven by the Particle Flow concept. In these developments, high granularity calorimeters play a central role. This presentation will focus on a new Particle Flow Algorithm…

Instrumentation and Detectors · Physics 2020-06-17 B. Li , R. Été , G. Grenier , I. Laktineh

The software compensation algorithms developed for the CALICE Analog Hadron Calorimeter are extended to incorporate time information on the cell level, and the performance is studied in GEANT4 simulations with a detector model of a…

Instrumentation and Detectors · Physics 2022-08-30 Christian Graf , Frank Simon

Using detailed simulations of calorimeter showers as training data, we investigate the use of deep learning algorithms for the simulation and reconstruction of particles produced in high-energy physics collisions. We train neural networks…

In the particle-flow approach information from all available sub-detector systems is combined to reconstruct all stable particles. The global event reconstruction has been shown to improve, in particular, the resolution of jet energy and…

Nuclear Experiment · Physics 2019-08-13 Matthew Nguyen

We investigate the effect of longitudinal and transverse calorimeter segmentation on event-by-event software compensation for hadronic showers. To factorize out sampling and electronics effects, events are simulated in which a single…

Instrumentation and Detectors · Physics 2022-02-01 Coralie Neubüser , Jan Kieseler , Paul Lujan

An improved weighting algorithm applied to hadron showers has been developed for a fine grained LAr calorimeter. The new method uses tabulated weights which depend on the density of energy deposited in individual cells and in a surrounding…

Instrumentation and Detectors · Physics 2009-11-10 C. Issever , K. Borras , D. Wegener

One of the most important requirements for a detector at the ILC is good jet energy resolution. It is widely believed that the particle flow approach to calorimetry is the key to achieving the ILC goal of a di-jet invariant mass resolution…

Instrumentation and Detectors · Physics 2009-02-16 M. A. Thomson

This paper describes the implementation and performance of a particle flow algorithm applied to 20.2 fb$^{-1}$ of ATLAS data from 8 TeV proton-proton collisions in Run 1 of the LHC. The algorithm removes calorimeter energy deposits due to…

High Energy Physics - Experiment · Physics 2017-08-15 ATLAS Collaboration

The granularity of calorimeter has been revolutionary boosted for future collider experiments. The calorimeter has been pushed to a stage that the sub structure of showers especially hadronic showers can be recorded to a high precision. New…

Instrumentation and Detectors · Physics 2014-12-11 Manqi Ruan

A neural network for software compensation was developed for the highly granular CALICE Analogue Hadronic Calorimeter (AHCAL). The neural network uses spatial and temporal event information from the AHCAL and energy information, which is…

We provide details on the implementation of a machine-learning based particle flow algorithm for CMS. The standard particle flow algorithm reconstructs stable particles based on calorimeter clusters and tracks to provide a global event…

Data Analysis, Statistics and Probability · Physics 2023-02-20 Joosep Pata , Javier Duarte , Farouk Mokhtar , Eric Wulff , Jieun Yoo , Jean-Roch Vlimant , Maurizio Pierini , Maria Girone

The studies presented in this paper provide a first experimental test of the Particle Flow Algorithm (PFA) concept using data recorded in high granularity calorimeters. Pairs of overlaid pion showers from CALICE 2007 test beam data are…

Instrumentation and Detectors · Physics 2015-03-19 The CALICE Collaboration

In the reconstruction of physics events at future e$^+$e$^-$ colliders the calorimeter design has a crucial role in the overall detector performance. The reconstruction of events with many jets in their final state sets stringent…

High Energy Physics - Experiment · Physics 2022-06-22 Marco T. Lucchini , Lorenzo Pezzotti , Giacomo Polesello , Christopher G. Tully

This paper discusses the hadronic energy reconstruction of two combined electromagnetic and hadronic calorimeter systems using physics prototypes of the CALICE collaboration: the silicon-tungsten electromagnetic calorimeter (Si-W ECAL) and…

Instrumentation and Detectors · Physics 2018-07-01 Yasmine Israeli

The energy resolution of a highly granular 1 m3 analogue scintillator-steel hadronic calorimeter is studied using charged pions with energies from 10 GeV to 80 GeV at the CERN SPS. The energy resolution for single hadrons is determined to…

Instrumentation and Detectors · Physics 2012-09-28 CALICE Collaboration , C. Adloff , J. Blaha , J. -J. Blaising , C. Drancourt , A. Espargilière , R. Gaglione , N. Geffroy , Y. Karyotakis , J. Prast , G. Vouters , K. Francis , J. Repond , J. Smith , L. Xia , E. Baldolemar , J. Li , S. T. Park , M. Sosebee , A. P. White , J. Yu , T. Buanes , G. Eigen , Y. Mikami , N. K. Watson , T. Goto , G. Mavromanolakis , M. A. Thomson , D. R. Ward , W. Yan , D. Benchekroun , A. Hoummada , Y. Khoulaki , M. Benyamna , C. Cârloganu , F. Fehr , P. Gay , S. Manen , L. Royer , G. C. Blazey , A. Dyshkant , J. G. R. Lima , V. Zutshi , J. -Y. Hostachy , L. Morin , U. Cornett , D. David , G. Falley , K. Gadow , P. Göttlicher , C. Günter , B. Hermberg , S. Karstensen , F. Krivan , A. -I. Lucaci-Timoce , S. Lu , B. Lutz , S. Morozov , V. Morgunov , M. Reinecke , F. Sefkow , P. Smirnov , M. Terwort , A. Vargas-Trevino , N. Feege , E. Garutti , I. Marchesini , M. Ramilli , P. Eckert , T. Harion , A. Kaplan , H. -Ch. Schultz-Coulon , W. Shen , R. Stamen , A. Tadday , B. Bilki , E. Norbeck , Y. Onel , G. W. Wilson , K. Kawagoe , P. D. Dauncey , A. -M. Magnan , M. Wing , F. Salvatore , E. Calvo Alamillo , M. -C. Fouz , J. Puerta-Pelayo , V. Balagura , B. Bobchenko , M. Chadeeva , M. Danilov , A. Epifantsev , O. Markin , R. Mizuk , E. Novikov , V. Rusinov , E. Tarkovsky , N. Kirikova , V. Kozlov , P. Smirnov , Y. Soloviev , P. Buzhan , B. Dolgoshein , A. Ilyin , V. Kantserov , V. Kaplin , A. Karakash , E. Popova , S. Smirnov , C. Kiesling , S. Pfau , K. Seidel , F. Simon , C. Soldner , M. Szalay , M. Tesar , L. Weuste , J. Bonis , B. Bouquet , S. Callier , P. Cornebise , Ph. Doublet , F. Dulucq , M. Faucci Giannelli , J. Fleury , H. Li , G. Martin-Chassard , F. Richard , Ch. de la Taille , R. Pöschl , L. Raux , N. Seguin-Moreau , F. Wicek , M. Anduze , V. Boudry , J-C. Brient , D. Jeans , P. Mora de Freitas , G. Musat , M. Reinhard , M. Ruan , H. Videau , B. Bulanek , J. Zacek , J. Cvach , P. Gallus , M. Havranek , M. Janata , J. Kvasnicka , D. Lednicky , M. Marcisovsky , I. Polak , J. Popule , L. Tomasek , M. Tomasek , P. Ruzicka , P. Sicho , J. Smolik , V. Vrba , J. Zalesak , B. Belhorma , H. Ghazlane , T. Takeshita , S. Uozumi , J. Sauer , S. Weber , C. Zeitnitz

In high energy physics, the ability to reconstruct particles based on their detector signatures is essential for downstream data analyses. A particle reconstruction algorithm based on learning hypergraphs (HGPflow) has previously been…

High Energy Physics - Experiment · Physics 2025-05-02 Nilotpal Kakati , Etienne Dreyer , Anna Ivina , Francesco Armando Di Bello , Lukas Heinrich , Marumi Kado , Eilam Gross

In general-purpose particle detectors, the particle-flow algorithm may be used to reconstruct a comprehensive particle-level view of the event by combining information from the calorimeters and the trackers, significantly improving the…

Data Analysis, Statistics and Probability · Physics 2021-06-10 Joosep Pata , Javier Duarte , Jean-Roch Vlimant , Maurizio Pierini , Maria Spiropulu
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