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Physicists at the Large Hadron Collider (LHC) rely on detailed simulations of particle collisions to build expectations of what experimental data may look like under different theory modeling assumptions. Petabytes of simulated data are…

High Energy Physics - Experiment · Physics 2018-02-06 Michela Paganini , Luke de Oliveira , Benjamin Nachman

The CALICE technological RPC-based SDHCAL prototype that fullfils all the requirements of compactness, hermeticity and power budget of the future lepton accelerator experiments, has been extensively tested and has provided excellent results…

Instrumentation and Detectors · Physics 2025-02-07 M. Tytgat , C. Combaret , C. Devanne , G. Garillot , G. Grenier , I. Laktineh , L. Mirabito , T. Pasquier , M. C. Fouz , H. J. Yang , W. Wu , Y. Tan , Y. Baek , D. Kim , J. Kim

The STAR detector at RHIC, due to its large uniform acceptance and excellent particle identification capabilities, has measured a variety of hadron species ($\pi^{\pm}$, $K^{\pm}$, $p$, $\bar{p}$, $K^{0}_{S}$, $\Lambda$, $\bar{\Lambda}$,…

Nuclear Experiment · Physics 2019-08-13 Sabita Das

We provide a prescription to train optimal machine-learning-based event selectors and categorizers that maximize the statistical significance of a potential signal excess in high energy physics (HEP) experiments, as quantified by any of six…

Data Analysis, Statistics and Probability · Physics 2019-11-28 Konstantin K. Matchev , Prasanth Shyamsundar

The efficiency to identify jets containing $b$-hadrons ($b$-jets) is measured using a high purity sample of dileptonic top quark-antiquark pairs ($t\bar{t}$) selected from the 36.1 fb$^{-1}$ of data collected by the ATLAS detector in 2015…

High Energy Physics - Experiment · Physics 2018-09-05 ATLAS Collaboration

A high-energy e+e- collider, such as the ILC or CLIC, is arguably the best option to complement and extend the LHC physics programme. A lepton collider will allow for exploration of Standard Model Physics, such as precise measurements of…

Instrumentation and Detectors · Physics 2013-08-22 J. S. Marshall , M. A. Thomson

The multiplicities of charged particle with transverse momentum (3 $<$ $p_T^{h^{\pm}}$ $<$ 16 $\mathrm GeV/c$) and pseudorapidity ($\mid\eta\mid$ $\leq$ 1.0) associated with direct photons and $\pi^{0}$ of high transverse momentum (8 $<$…

Nuclear Experiment · Physics 2014-11-20 Ahmed M. Hamed

We propose an algorithm, deployable on a highly-parallelized graph computing architecture, to perform rapid reconstruction of charged-particle trajectories in the high energy collisions at the Large Hadron Collider and future colliders. We…

Instrumentation and Detectors · Physics 2020-01-22 Ashutosh V. Kotwal

Modern high-energy physics experiments collect data using dedicated complex multi-level trigger systems which perform an online selection of potentially interesting events. In general, this selection suffers from inefficiencies. A further…

High Energy Physics - Experiment · Physics 2009-06-10 Victor Lendermann , Johannes Haller , Michael Herbst , Katja Krueger , Hans-Christian Schultz-Coulon , Rainer Stamen

Detectors proposed for the International Linear Collider (ILC) incorporate a tungsten sampling calorimeter (`BeamCal') intended to reconstruct showers of electrons, positrons and photons that emerge from the interaction point of the…

Particle identification is one of the core tasks in the data analysis pipeline at the Large Hadron Collider (LHC). Statistically, this entails the identification of rare signal events buried in immense backgrounds that mimic the properties…

Machine Learning · Statistics 2020-01-20 Vidhi Lalchand

A small prototype of a finely granulated digital hadron calorimeter with Resistive Plate Chambers as active elements was exposed to positive pions of 1 >. 16 GeV energy from the Fermilab test beam. The event selection separates events with…

Instrumentation and Detectors · Physics 2015-05-14 Burak Bilki , John Butler , Georgios Mavromanolakis , Ed May , Edwin Norbeck , Jose Repond , David Underwood , Lei Xia , Qingmin Zhang

The accurate and precise extraction of information from a modern particle physics detector, such as an electromagnetic calorimeter, may be complicated and challenging. In order to overcome the difficulties we propose processing the detector…

Data Analysis, Statistics and Probability · Physics 2022-02-04 Elihu Sela , Shan Huang , David Horn

In modern High Energy Physics (HEP) experiments, triggers perform the important task of selecting, in real time, the data to be recorded and saved for physics analyses. As a result, trigger strategies play a key role in extracting relevant…

Recent studies have shown that the electromagnetic shower induced by a high-energy electron, positron or photon incident along the axis of an oriented crystal develops in a space more compact than the ordinary. On the other hand, the…

Detectors proposed for the International Linear Collider (ILC) incorporate a tungsten sampling calorimeter (`BeamCal') intended to reconstruct showers of electrons, positrons and photons that emerge from the interaction point of the…

In nuclear, particle and astroparticle physics experiments, calorimeters are used to measure the properties of particles with kinetic energies that range from a fraction of 1 eV to 10^20 eV or more. These properties are not necessarily…

Instrumentation and Detectors · Physics 2018-10-17 Richard Wigmans

The calorimeter and muon systems are essential components to provide a trigger for the LHCb experiment. The calorimeter system comprises a scintillating pad detector and pre-shower, followed by electromagnetic and hadronic calorimeters. The…

Instrumentation and Detectors · Physics 2008-11-26 A. Sarti

After the current shutdown, the LHC is about to resume operation for a new data-taking period, when it will operate with increased luminosity, event rate and center of mass energy. The new conditions will impose more demanding constraints…

Instrumentation and Detectors · Physics 2019-08-13 Sebastien Prince

We investigate whether state-of-the-art classification features commonly used to distinguish electrons from jet backgrounds in collider experiments are overlooking valuable information. A deep convolutional neural network analysis of…

Data Analysis, Statistics and Probability · Physics 2021-07-07 Julian Collado , Jessica N. Howard , Taylor Faucett , Tony Tong , Pierre Baldi , Daniel Whiteson