Cargando…

Deep learning solutions for 2D calorimetric cluster reconstruction at LHCb

Detalles Bibliográficos
Autor principal:	Mazurek, Michal
Lenguaje:	eng
Publicado:	2020
Materias:	Talk
Acceso en línea:	http://cds.cern.ch/record/2742660

Ejemplares similares

Calibration of the LHCb calorimetric system
por: Pereima, Dmitrii
Publicado: (2017)

Deep Learning approach to Cellular Automaton CALO reconstruction in LHCb
por: Valls Canudas, Nuria
Publicado: (2021)

New simulation software technologies at the LHCb Experiment at CERN
por: Mazurek, Michal
Publicado: (2021)

Performance Study of Alternative Calorimeter Clustering Solutions for Allen in LHCb
por: Valls Canudas, Nuria
Publicado: (2023)

The LHCb simulation software Gauss and its Gaussino core framework
por: Mazurek, Michal
Publicado: (2023)

Gauss and Gaussino: the LHCb simulation software and its new experiment agnostic core framework
por: Mazurek, Michal
Publicado: (2022)

Machine learning and parallelism in the reconstruction of LHCb and its upgrade
por: De Cian, Michel
Publicado: (2016)

Machine learning and parallelism in the reconstruction of LHCb and its upgrade
por: Stahl, Marian
Publicado: (2016)

Advanced Machine-Learning Solutions in LHCb Operations and Data Analysis
por: Ratnikov, Fedor
Publicado: (2017)

Advanced machine-learning solutions in LHCb: operations and data analysis
por: Anderlini, Lucio
Publicado: (2018)

LHCb reconstruction and PID
por: Santana Rangel, Murilo
Publicado: (2020)

LHCb RICH Reconstruction
por: Buszello, Claus Peter
Publicado: (2007)

Jet reconstruction with LHCb
por: Bursche, Albert
Publicado: (2012)

LHCb Run 2 trigger and upgrade reconstruction
por: Whitehead, Mark Peter
Publicado: (2018)

Data Persistency Solution for LHCb
por: Frank, M
Publicado: (2000)

Trigger and reconstruction for the LHCb upgrade
por: Stahl, Sascha
Publicado: (2017)

Optimization of the LHCb track reconstruction
por: Storaci, Barbara
Publicado: (2015)

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

Reconstruction at 30 MHz for the LHCb upgrade
por: Santana Rangel, Murilo
Publicado: (2019)

SIMD studies in the LHCb reconstruction software
por: Campora Perez, Daniel Hugo, et al.
Publicado: (2015)

Trigger, reconstruction and physics performances in LHCb
por: Lazzeroni, Cristina
Publicado: (2006)

Reconstruction and Analysis Software Environment of LHCb
por: Koppenburg, Patrick
Publicado: (2005)

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

A 2D FPGA-based clustering algorithm for the LHCb silicon pixel detector running at 30 MHz
por: Bassi, Giovanni
Publicado: (2019)

Evaluation of Cluster File Systems for the LHCb Experiment
por: Caicedo Carvajal, J M, et al.
Publicado: (2010)

Vertex, Track Reconstruction & Luminosity Monitoring at LHCb
por: Wang, Jianchun
Publicado: (2007)

Event Reconstruction and Physics Performance of the LHCb Experiment
por: Xie, Yuehong
Publicado: (2005)

Tracking and Vertex reconstruction at LHCb for Run II
por: Yin, Hang
Publicado: (2017)

First performance of the real-time reconstruction at LHCb
por: Cervenkov, Daniel
Publicado: (2022)

From prototypes to large scale detectors: how to exploit the Gaussino simulation framework for detectors studies, with a detour into machine learning
por: Mazurek, Michal
Publicado: (2023)

Machine Learning @ LHCb
por: Delaney, Blaise Raheem
Publicado: (2020)

Machine Learning at LHCb
por: Derkach, Denis
Publicado: (2017)

Machine learning at LHCb
por: Kazeev, Nikita
Publicado: (2018)

D decays at LHCb
por: Burr, Chris
Publicado: (2018)

Fast parallel Primary Vertex reconstruction for the LHCb Upgrade
por: Reiss, Florian
Publicado: (2020)

Performance of the LHCb trigger and full real-time reconstruction in Run2 of the LHC
por: Polci, Francesco
Publicado: (2019)

Real-time alignment and reconstruction in Run 2 and its performance at the LHCb experiment
por: Davis, Adam
Publicado: (2017)

Real-time physics, alignment and reconstruction in the LHCb trigger
por: Pearce, Alex
Publicado: (2018)

Full offline reconstruction in real-time with the LHCb detector
por: Dziurda, Agnieszka
Publicado: (2016)

Tracking with the LHCb Spectrometer: Detector Performance and Track Reconstruction
por: Tuning, Niels
Publicado: (2006)

Cannot write session to /tmp/vufind_sessions/sess_vslvi5eqa79b2bqmndob6ckpfa