Cargando…

Direct online reconstruction

Detalles Bibliográficos
Autor principal:	Van Veghel, Maarten
Lenguaje:	eng
Publicado:	2022
Materias:	Conferences
Acceso en línea:	http://cds.cern.ch/record/2812832

Ejemplares similares

Direct Online Reconstruction at the LHCb experiment
por: Van Veghel, Maarten
Publicado: (2022)

Use of hardware acceleration for online event reconstruction for Run 3 and later
por: Schmidt, Marten Ole
Publicado: (2021)

GPUs online
por: Concas, Matteo
Publicado: (2022)

Online Bookkeeper
por: RIBEIRO, Andre
Publicado: (2000)

Summary - Online Computing
por: Vande Vyvre, Pierre
Publicado: (2004)

The MICE Online Systems
por: Coney, Linda
Publicado: (2012)

Online/offline development for LLP
por: Usachov, Andrii
Publicado: (2022)

Track Summary: Online Computing
por: Mommsen, Remi
Publicado: (2012)

Upgrade of the LHC Experiment Online Systems
por: Smith, Wesley
Publicado: (2012)

CMS experience with online and offline Databases
por: Pfeiffer, Andreas
Publicado: (2012)

Offline Processing in the Online Computer Farm
por: Granado Cardoso, Luis
Publicado: (2012)

Triggering and online calibration with machine learning techniques
por: Gligorov, Vladimir
Publicado: (2020)

GPUs in trigger and reconstruction algorithms
por: Boettcher, Thomas
Publicado: (2021)

Monitoring reconstruction software in LHCb
por: Hou, Yingrui
Publicado: (2021)

ATLAS: Jet and missing ET reconstruction
por: Loch, Peter
Publicado: (2020)

CMS: Jet and missing ET reconstruction
por: Dordevic, Milos
Publicado: (2020)

Managing the CMS Online Software integrity through development and production cycles
por: ORSINI, Luciano
Publicado: (2015)

Samba and CERNBox: Providing online access to Windows-based users at CERN
por: Lo Presti, Giuseppe
Publicado: (2021)

Tau reconstruction and identification performance in ATLAS and CMS
por: Neutelings, Izaak
Publicado: (2020)

Porting CMS Heterogeneous Pixel Reconstruction to Kokkos
por: Kortelainen, Matti
Publicado: (2021)

Implementation of ACTS into sPHENIX Track Reconstruction
por: Osborn, Joe
Publicado: (2021)

Usage of GPUs in ALICE Online and Offline processing during LHC Run 3
por: Rohr, David
Publicado: (2021)

Lepton and Photon reconstruction and identification performance in ATLAS and CMS.
por: Jain, Shilpi
Publicado: (2020)

Highlight: ALICE: reconstruction and TPC calibration in Run 3
por: Hellbar, Ernst
Publicado: (2021)

Direct neutrino mass measurement
por: Lasserre, Thierry
Publicado: (2019)

A novel reconstruction framework for an imaging calorimeter for HL-LHC
por: Cristella, Leonardo
Publicado: (2021)

The use of Boosted Decision Trees for Energy Reconstruction in JUNO experiment
por: Gavrikov, Arsenii
Publicado: (2021)

Performance of CUDA Unified Memory in CMS Heterogeneous Pixel Reconstruction
por: Kwok, Ka Hei Martin
Publicado: (2021)

End-To-End Solution for Integrated Workload and Data Management using glideinWMS and Globus Online
por: Mhashilkar, Parag
Publicado: (2012)

Improvements to ATLAS Inner Detector Track reconstruction for LHC Run-3
por: Schillaci, Zachary Michael
Publicado: (2021)

FPGA-based real-time data processing for accelerating reconstruction at LHCb
por: Lazzari, Federico
Publicado: (2021)

Deep learning based low-dose synchrotron radiation CT reconstruction
por: Li, Ling
Publicado: (2021)

Graph Variational Autoencoder for Detector Reconstruction and Fast Simulation in High-Energy Physics
por: Hariri, Ali
Publicado: (2021)

Graph Neural Network for Object Reconstruction in Liquid Argon Time Projection Chambers
por: Hewes, Jeremy Edmund
Publicado: (2021)

Improvements for reconstruction of physics objects with HL-LHC detector upgrades for ATLAS and CMS
por: Di Florio, Adriano
Publicado: (2021)

Direct and indirect constraints on the Higgs self coupling
por: Manzoni, Stefano
Publicado: (2020)

Accelerating End-to-End Deep Learning for Particle Reconstruction using CMS open data
por: Di Croce, Davide
Publicado: (2021)

Event vertex reconstruction with deep neural networks for the DarkSide-20k experiment
por: Goicoechea Casanueva, Victor
Publicado: (2021)

A Deep Learning approach to LHCb Calorimeter reconstruction using a Cellular Automaton
por: Valls Canudas, Nuria
Publicado: (2021)

Artificial Neural Networks on FPGAs for Real-Time Energy Reconstruction of the ATLAS LAr Calorimeters
por: Calvet, Thomas
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_g18i0fd9rmjhhr7csit8kd99bf