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Roman Pöschl
The next generation of collider detectors will make full use of Particle Flow Algorithms, requiring high-precision tracking and full imaging calorimeters. The latter, thanks to granularity improvements by two to three orders of magnitude compared to exis...
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Sergio Ceravolo, Francesco Colao, Camilla Curatolo, Elisa Di Meco, Eleonora Diociaiuti, Donatella Lucchesi, Daniele Paesani, Nadia Pastrone, Gianantonio Pezzullo, Alessandro Saputi, Ivano Sarra, Lorenzo Sestini and Diego Tagnani
Calorimeters, as other detectors, have to face the increasing performance demands of the new energy frontier experiments. For a future Muon Collider the main challenge is given by the Beam Induced Background that may pose limitations to the physics perfo...
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Nural Akchurin, Christopher Cowden, Jordan Damgov, Adil Hussain and Shuichi Kunori
We report a greater than factor of two improvement in the hadronic energy resolution of a simulated Cherenkov calorimeter by estimating the energy with machine learning over traditional techniques. The prompt signal formation and energy threshold propert...
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Baohua Qi and Yong Liu
Future electron-positron collider experiments aim at the precise measurement of the Higgs boson, electroweak physics and the top quark. Based on the particle-flow paradigm, a novel highly granular crystal electromagnetic calorimeter (ECAL) is proposed to...
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Dejing Du and Yong Liu
Based on the particle-flow paradigm, a new hadronic calorimeter (HCAL) with scintillating glass tiles is proposed to address major challenges from precision measurements of jets at the future lepton colliders, such as the Circular Electron Positron Colli...
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Louis Portalès
The CMS collaboration is building a high-granularity calorimeter (HGCAL) for the endcap regions as part of its planned upgrade for the High-Luminosity LHC. The calorimetric data will form part of the Level-1 trigger (hardware) of the CMS experiment, redu...
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Corrado Gatto, Gerald C. Blazey, Alexandre Dychkant, Jeffrey W. Elam, Michael Figora, Todd Fletcher, Kurt Francis, Ao Liu, Sergey Los, Cole Le Mahieu, Anil U. Mane, Juan Marquez, Michael J. Murray, Erik Ramberg, Christophe Royon, Michael J. Syphers, Robert W. Young and Vishnu Zutshi
A novel high-granularity, dual-readout calorimetric technique (ADRIANO2) is under development as part of the research program of T1604 Collaboration. (Talk Presented at the 19th International Conference on Calorimetry in Particle Physics (CALOR 2022), Un...
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Julia Gonski and on behalf of the ATLAS Liquid Argon Calorimeter Group
The High Luminosity era of the Large Hadron Collider (LHC) starting in 2029 promises exciting discovery potential, giving unprecedented sensitivity to key new physics models and precise characterization of the Higgs boson. In order to maintain current pe...
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Monika Kuffer, Maxwell Owusu, Lorraine Oliveira, Richard Sliuzas and Frank van Rijn
Gridded population datasets model the population at a relatively high spatial and temporal granularity by reallocating official population data from irregular administrative units to regular grids (e.g., 1 km grid cells). Such population data are vital f...
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Monika Kuffer, Jon Wang, Dana R. Thomson, Stefanos Georganos, Angela Abascal, Maxwell Owusu and Sabine Vanhuysse
Routine and accurate data on deprivation are needed for urban planning and decision support at various scales (i.e., from community to international). However, analyzing information requirements of diverse users on urban deprivation, we found that data a...
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Johan Mottelson and Alessandro Venerandi
Few studies have investigated the urban morphology of informal settlements at fine-grain level, limiting effective urban planning and policies targeting such areas. This study presents a high-resolution morphological analysis of five informal settlements...
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Wen Cao, Wenhao Liu, Xiaochong Tong, Jianfei Wang, Feilin Peng, Yuzhen Tian and Jingwen Zhu
To understand the complex phenomena in social space and monitor the dynamic changes in people?s tracks, we need more cross-scale data. However, when we retrieve data, we often ignore the impact of multi-scale, resulting in incomplete results. To solve th...
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Fernando Domingues Amaro, Elisabetta Baracchini, Luigi Benussi, Stefano Bianco, Cesidio Capoccia, Michele Caponero, Danilo Santos Cardoso, Gianluca Cavoto, André Cortez, Igor Abritta Costa, Rita Joanna da Cruz Roque, Emiliano Dané, Giorgio Dho, Flaminia Di Giambattista, Emanuele Di Marco, Giovanni Grilli di Cortona, Giulia D?Imperio, Francesco Iacoangeli, Herman Pessoa Lima Júnior, Guilherme Sebastiao Pinheiro Lopes, Amaro da Silva Lopes Júnior, Giovanni Maccarrone, Rui Daniel Passos Mano, Michela Marafini, Robert Renz Marcelo Gregorio, David José Gaspar Marques, Giovanni Mazzitelli, Alasdair Gregor McLean, Andrea Messina, Cristina Maria Bernardes Monteiro, Rafael Antunes Nobrega, Igor Fonseca Pains, Emiliano Paoletti, Luciano Passamonti, Sandro Pelosi, Fabrizio Petrucci, Stefano Piacentini, Davide Piccolo, Daniele Pierluigi, Davide Pinci, Atul Prajapati, Francesco Renga, Filippo Rosatelli, Alessandro Russo, Joaquim Marques Ferreira dos Santos, Giovanna Saviano, Neil John Curwen Spooner, Roberto Tesauro, Sandro Tomassini and Samuele TorelliaddShow full author listremoveHide full author list
The search for a novel technology able to detect and reconstruct nuclear and electron recoil events with the energy of a few keV
keV
has become more and more important now that large regions of high-mass dark matter (DM) candidates have been excluded. M...
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Nicolas Morange
Noble liquid calorimeters have been successfully used in particle physics experiments for decades. The project presented in this article is that of a new noble liquid calorimeter concept, where a novel design allows us to fulfil the stringent requirement...
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Chengxin Yan, Ningjiang Chen and Zhang Shuo
Containerized data centers can improve the computational density of IaaS layers. This intensive high-concurrency environment has high requirements for message scheduling and container processing. In the paper, an elastically scalable strategy for cloud c...
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Chengxin Yan, Ningjiang Chen and Zhang Shuo
Containerized data centers can improve the computational density of IaaS layers. This intensive high-concurrency environment has high requirements for message scheduling and container processing. In the paper, an elastically scalable strategy for cloud c...
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Piyush Kumar and Bhawna Gomber
The High-Luminosity LHC (HL-LHC) provides an opportunity for a pioneering physics program to harness an integrated luminosity of 4000 fb−1" role="presentation" style="position: relative;">fb-1fb-1
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of ten years of operations. This large...
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Huisheng Yu, Xinyue Zhang, Wenbo Yu, Yanpeng Gao, Yuyu Xue, Wei Sun and Dongqi Sun
Studying land comprehensive carrying capacity (LCCC) is the foundational and key requirement for determining land development planning and urban spatial development patterns of a region. However, the traditional evaluation method discounts the fuzziness ...
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Luís Fonseca, Fernando Ribeiro and José Metrôlho
In-bed posture classification has attracted considerable research interest and has significant potential to enhance healthcare applications. Recent works generally use approaches based on pressure maps, machine learning algorithms and focused mainly on f...
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Daniele Paesani, Alessandro Saputi and Ivano Sarra
Measurement of physics processes at new energy frontier experiments requires excellent spatial, time, and energy resolutions to resolve the structure of collimated high-energy jets. In a future Muon Collider, beam-induced backgrounds (BIB) represent the ...
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