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Next-generation high-energy electron-positron colliders, operating as Higgs factories, require an unprecedented jet energy resolution for precision measurements of Higgs and Z/W bosons. To address this challenge, a conceptual design is…

Instrumentation and Detectors · Physics 2026-03-10 Baohua Qi , Fangyi Guo , Shu Li , Yong Liu , Manqi Ruan , Weizheng Song , Shengsen Sun , Yifang Wang , Yuexin Wang , Haijun Yang , Yang Zhang , Zhiyu Zhao

A novel technique for longitudinal segmentation of shashlik calorimeters has been tested in the CERN West Area beam facility. A 25 tower very fine samplings e.m. calorimeter has been built with vacuum photodiodes inserted in the first 8…

In this paper, gradient-based optimization methods are combined with finite-element modeling for improving electric devices. Geometric design parameters are considered by affine decomposition of the geometry or by the design element…

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…

An iron- plastic-scintillator shashlik calorimeter with a 4.3 $X_0$ longitudinal segmentation was tested in November 2016 at the CERN East Area facility with charged particles up to 5 GeV. The performance of this detector in terms of…

The recent upgrade of the LHCb experiment pushes data processing rates up to 40 Tbit/s. Out of the whole reconstruction sequence, one of the most time consuming algorithms is the calorimeter reconstruction. It aims at performing a…

High Energy Physics - Experiment · Physics 2022-12-22 Núria Valls Canudas , Míriam Calvo Gómez , Xavier Vilasís-Cardona , Elisabet Golobardes Ribé

The CALICE collaboration is developing highly granular calorimeters for experiments at a future lepton collider primarily to establish technologies for particle flow event reconstruction. These technologies also find applications elsewhere,…

Instrumentation and Detectors · Physics 2017-06-28 Yong Liu

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…

A sampling calorimeter equipped with gaseous sensor layers with digital readout is near perfect for "Particle Flow Algorithm" approach, since it is homogeneous over large surfaces, robust, cost efficient, easily segmentable to any readout…

Instrumentation and Detectors · Physics 2015-06-19 Y. Haddad , M. Ruan , V. Boudry

The energy calibration of calorimeters at collider experiments, such as the ones at the CERN Large Hadron Collider, is crucial for achieving the experiments physics objectives. Standard calibration approaches have limitations that become…

We report the machine learning (ML)-based approach allowing thermoelectric generator (TEG) efficiency evaluation directly from 5 parameters: 2 physical properties - carriers density and energy gap, and 3 engineering parameters - external…

Materials Science · Physics 2024-08-23 Anastasiia Tukmakova , Patrizio Graziosi

In the realm of high-energy physics, the longevity of calorimeters is paramount. Our research introduces a deep learning strategy to refine the calibration process of calorimeters used in particle physics experiments. We develop a…

Machine Learning · Computer Science 2024-11-07 S. Ali , A. S. Ryzhikov , D. A. Derkach , F. D. Ratnikov , V. O. Bocharnikov

The original dual-readout calorimeter prototype (DREAM), constructed two decades ago, has proven instrumental in advancing our understanding of calorimetry. It has facilitated a multitude of breakthroughs by leveraging signals from…

Instrumentation and Detectors · Physics 2024-08-29 N. Akchurin , J. Cash , J. Damgov , X. Delashaw , K. Lamichhane , M. Harris , M. Kelley , S. Kunori , H. Mergate-Cacace , T. Peltola , O. Schneider , J. Sewell

The precise reconstruction of properties of photons and electrons in modern high energy physics detectors, such as the CMS or Atlas experiments, plays a crucial role in numerous physics results. Conventional geometrical algorithms are used…

High Energy Physics - Experiment · Physics 2023-11-30 Polina Simkina , Fabrice Couderc , Julie Malclès , Mehmet Özgür Sahin

In this work we consider the problem of determining the identity of hadrons at high energies based on the topology of their energy depositions in dense matter, along with the time of the interactions. Using GEANT4 simulations of a…

We present an end-to-end reconstruction algorithm to build particle candidates from detector hits in next-generation granular calorimeters similar to that foreseen for the high-luminosity upgrade of the CMS detector. The algorithm exploits…

Instrumentation and Detectors · Physics 2022-10-03 Shah Rukh Qasim , Nadezda Chernyavskaya , Jan Kieseler , Kenneth Long , Oleksandr Viazlo , Maurizio Pierini , Raheel Nawaz

The FCAL collaboration is preparing large scale prototypes of special calorimeters to be used in the very forward region at a future linear electron positron collider for a precise and fast luminosity measurement and beam-tuning. These…

Instrumentation and Detectors · Physics 2017-03-08 V. Ghenescu , Y. Benhammou

We present a study of a CMOS test sensor which has been designed, fabricated and characterised to investigate the parameters required for a binary readout electromagnetic calorimeter. The sensors were fabricated with several enhancements in…

Hadronic calorimeters with dual readout measure both scintillation and Cherenkov lights produced in their active media. They offer improvements in energy resolution and, therefore, have become increasingly interesting due to the need for…

Instrumentation and Detectors · Physics 2025-01-14 S. V. Chekanov , S. Eno , S. Magill , C. Palmer , L. Wu