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Related papers: Particle identification

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We discuss aspects of antihydrogen studies, that relate to particle physics ideas and techniques, within the context of the ALPHA experiment at CERN's Antiproton Decelerator facility. We review the fundamental physics motivations for…

Isotopic composition measurements of singly charged cosmic rays (CR) provide essential insights into CR transport in the Galaxy. The Alpha Magnetic Spectrometer (AMS-02) can identify singly charged isotopes up to about 10 GeV/n. However,…

High Energy Astrophysical Phenomena · Physics 2024-04-25 Marta Borchiellini , Leandro Mano , Fernando Barão , Manuela Vecchi

In the forward end-cap of the Belle II spectrometer, particle identification is provided by a proximity focusing RICH detector with an aerogel radiator (ARICH). The ARICH's primary function is to effectively distinguish between pions and…

Instrumentation and Detectors · Physics 2023-08-09 Luka Santelj

In beam test experiments have been carried out for particle identification using digital pulse shape analysis in a 500~$\mu$m thick Neutron Transmutation Doped (nTD) silicon detector with an indigenously developed FPGA based 12 bit…

Instrumentation and Detectors · Physics 2018-05-09 K. Mahata , A. Shrivastava , J. A. Gore , S. K. Pandit , V. V. Parkar , K. Ramachandran , A. Kumar , S. Gupta , P. Patale

For the International Large Detector (ILD) at the planned International Linear Collider (ILC) a Time Projection Chamber (TPC) is foreseen as the main tracking detector. To achieve the required point resolution, Micro Pattern Gaseous…

Instrumentation and Detectors · Physics 2019-02-15 Uli Einhaus , Uwe Krämer , Paul Malek

The Electron-ion collider in China (EicC) is a proposed future electron-ion collider designed to achieve a high luminosity, with a center-of-mass energy ranging from 15 to 20 GeV. Excellent particle identification (PID) with extensive…

Instrumentation and Detectors · Physics 2026-05-25 Xin Li , Yuxiang Zhao , Yutie Liang , Xu Sun

The ALICE Collaboration is proposing a completely new apparatus, ALICE~3, for the LHC Runs~5 and beyond. In this context, a key subsystem for high-energy charged particle identification will be a proximity-focusing ring-imaging Cherenkov…

We present studies of electron identification (eID) in the MPD experiment at NICA using machine learning techniques. The goal is to improve electron identification efficiency while preserving high purity, which is crucial for dielectron…

High Energy Physics - Experiment · Physics 2026-01-07 Sudhir Pandurang Rode

Track finding and fitting algorithm in the ALICE Time projection chamber (TPC) based on Kalman-filtering is presented. Implementation of particle identification (PID) using d$E$/d$x$ measurement is discussed. Filtering and PID algorithm is…

Data Analysis, Statistics and Probability · Physics 2007-05-23 M. Ivanov , K. Safarik , Y. Belikov , J. Bracinik

The AMS spectrometer will be installed on the International Space Station in 2005. Among other improvements over the first version of the instrument, a ring imaging Cherenkov detector (RICH) will be added and should open a new window for…

Instrumentation and Detectors · Physics 2009-11-07 G. Boudoul

The lepton identification is essential for the physics programs at high-energy frontier, especially for the precise measurement of the Higgs boson. For this purpose, a Toolkit for Multivariate Data Analysis (TMVA) based lepton…

Instrumentation and Detectors · Physics 2017-10-11 Dan Yu , Manqi Ruan , Vincent Boudry , Henri Videau

Particle flows of high particle concentration are important in many fields, including chemical processing, pharmaceutical processing, energy conversion and powder transport. However, despite decades of research and industrial application,…

Fluid Dynamics · Physics 2013-11-06 Frank Shaffer , Balaji Gopalan

From particle identification to the discovery of the Higgs boson, deep learning algorithms have become an increasingly important tool for data analysis at the Large Hadron Collider (LHC). We present an innovative end-to-end deep learning…

We propose a method to organize experimental data from particle collision experiments in a general format which can enable a simple visualisation and effective classification of collision data using machine learning techniques. The method…

High Energy Physics - Phenomenology · Physics 2019-04-15 S. V. Chekanov

Pseudorapidity distributions of charged particles produced in heavy ion collisions are a powerful tool to characterize the global properties of the created system. They have been measured in a wide range of energies at the GSI, AGS, SPS and…

Nuclear Experiment · Physics 2007-12-04 F. Prino

Plasma impedance probes (PIPs) are a type of RF probe that primarily measure electron density. This work introduces two advancements: a streamlined analytical model for interpreting PIP-monopole measurements and techniques for achieving…

Plasma Physics · Physics 2023-07-27 John W. Brooks , Erik M. Tejero , Matthew C. Paliwoda , Michael S. McDonald

We first briefly describe the history and motivation behind Cherenkov and scintillation light detection. We then discuss the instrumentation needed to detect these photons as it applies to both photodetectors and readout electronics. One of…

Instrumentation and Detectors · Physics 2025-12-01 V. A. Li , O. A. Akindele , M. Bondin , S. R. Durham , J. A. Foot , M. J. Ford , S. -W. Stradleigh

The design of detector concepts has been driven for a long time by requirements on transverse momentum, impact parameter and jet energy resolutions, as well as hermeticity. Only rather recently it has been realised that the ability to…

Instrumentation and Detectors · Physics 2021-12-21 Ulrich Einhaus

The design of detector concepts has been driven for a long time by requirements on transverse momentum, impact parameter and jet energy resolutions, as well as hermeticity. Only rather recently it has been realised that the ability to…

High Energy Physics - Experiment · Physics 2021-10-29 Ulrich Einhaus
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