Cargando…

Advanced machine-learning solutions in LHCb: operations and data analysis

Detalles Bibliográficos
Autor principal:	Anderlini, Lucio
Lenguaje:	eng
Publicado:	2018
Materias:	Talk
Acceso en línea:	http://cds.cern.ch/record/2624260

Ejemplares similares

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

Machine Learning for the LHCb Simulations
por: Anderlini, Lucio
Publicado: (2021)

The LHCb Upgrade
por: Anderlini, Lucio
Publicado: (2013)

Use of advanced ML techniques in operations and data analysis at LHCb
por: Sokoloff, Michael David
Publicado: (2017)

Tetra-and Pentaquark studies at LHCb
por: Anderlini, Lucio
Publicado: (2019)

$B^+_c$ Physics at LHCb
por: Anderlini, Lucio
Publicado: (2015)

Spectroscopy with the HL-LHC and the LHCb experiment
por: Anderlini, Lucio
Publicado: (2018)

Hadron Spectroscopy Results from LHCb
por: Anderlini, Lucio
Publicado: (2017)

$\Upsilon$(nS) polarization measurement at LHCb
por: Anderlini, Lucio
Publicado: (2017)

Fixed target collisions with the LHCb experiment
por: Anderlini, Lucio
Publicado: (2017)

Lamarr the LHCb Ultra-Fast Simulation Framework
por: Anderlini, Lucio
Publicado: (2022)

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

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

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

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

Machine Learning in the LHCb trigger system
por: Gligorov, Vladimir
Publicado: (2015)

LHCb: Lessons learned from operation of the VELO
por: Hutchcroft, David
Publicado: (2018)

Machine learning photons separation in the LHCb calorimeter
por: Ratnikov, Fedor, et al.
Publicado: (2017)

Machine learning and advances in data quality monitoring
por: Klaver, Suzanne
Publicado: (2021)

Mass and lifetime at LHCb
por: Anderlini, L
Publicado: (2014)

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)

Quantum Machine Learning for b-jet tagging at LHCb
por: Nicotra, Davide
Publicado: (2021)

$B_c$ physics at LHCb
por: Anderlini, L
Publicado: (2013)

LHCb Silicon Tracker operations and performance with first data
por: Needham, M
Publicado: (2010)

Machine Learning for the LHCb Simulation
por: Anderlini, Lucio
Publicado: (2021)

Machine Learning techniques used in LHCb analyses and online applications
por: Dendek, Adam Mateusz
Publicado: (2019)

Deep learning solutions for 2D calorimetric cluster reconstruction at LHCb
por: Mazurek, Michal
Publicado: (2020)

LHCb Commissioning and Operation
por: Wiedner, D
Publicado: (2010)

The LHCb DIRAC-based production and data management operations systems
por: Stagni, F
Publicado: (2011)

QCD measurements and (double) charm production at LHCb
por: Anderlini, L
Publicado: (2012)

LHCb VELO and Silicon Tracker: Operational experience, performance and lessons learned
por: Pais, Preema Rennee
Publicado: (2019)

Machine Learning in Velo LHCb monitoring and calibration in Run I and II
por: Majewski, Maciej Witold
Publicado: (2019)

Operation and Performance of the LHCb Experiment
por: de Simone, P
Publicado: (2011)

Operation and Performance of the LHCb Experiment
por: Alessio, F
Publicado: (2010)

Particle identiﬁcation at LHCb : New calibration techniques and machine learning classiﬁcation algorithms
por: Poluektov, Anton
Publicado: (2018)

Studies of b hadron decays to final states containing charmonia at LHCb
por: Anderlini, L
Publicado: (2013)

Distributed Data Analysis in LHCb
por: Paterson, Stuart Keble
Publicado: (2007)

The RICH detectors of LHCb; Description and Operation
por: Papanestis, A
Publicado: (2013)

Operation and Performance LHCb Vertex Detector
por: Bowcock, T
Publicado: (2010)

Cannot write session to /tmp/vufind_sessions/sess_jjmui5m1rip597m192lcq7k6n5