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HAMMER: Reweighting tool for simulated data samples

Modern flavour physics experiments, such as Belle II or LHCb, require large samples of generated Monte Carlo events. Monte Carlo events often are processed in a sophisticated chain that includes a simulation of the detector response. The generation and reconstruction of large samples is resource-int...

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Detalles Bibliográficos
Autores principales: Duell, Stephan, Bernlochner, Florian, Ligeti, Zoltan, Papucci, Michele, Robinson, Dean
Lenguaje:eng
Publicado: SISSA 2017
Materias:
Acceso en línea:https://dx.doi.org/10.22323/1.282.1074
http://cds.cern.ch/record/2287330
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author Duell, Stephan
Bernlochner, Florian
Ligeti, Zoltan
Papucci, Michele
Robinson, Dean
author_facet Duell, Stephan
Bernlochner, Florian
Ligeti, Zoltan
Papucci, Michele
Robinson, Dean
author_sort Duell, Stephan
collection CERN
description Modern flavour physics experiments, such as Belle II or LHCb, require large samples of generated Monte Carlo events. Monte Carlo events often are processed in a sophisticated chain that includes a simulation of the detector response. The generation and reconstruction of large samples is resource-intensive and in principle would need to be repeated if e.g. parameters responsible for the underlying models change due to new measurements or new insights. To avoid having to regenerate large samples, we work on a tool, The Helicity Amplitude Module for Matrix Element Reweighting (HAMMER), which allows one to easily reweight existing events in the context of semileptonic b → q ` ̄ ν ` analyses to new model parameters or new physics scenarios.
id oai-inspirehep.net-1597644
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2017
publisher SISSA
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spelling oai-inspirehep.net-15976442019-10-15T15:21:38Zdoi:10.22323/1.282.1074http://cds.cern.ch/record/2287330engDuell, StephanBernlochner, FlorianLigeti, ZoltanPapucci, MicheleRobinson, DeanHAMMER: Reweighting tool for simulated data samplesParticle Physics - PhenomenologyComputing and ComputersModern flavour physics experiments, such as Belle II or LHCb, require large samples of generated Monte Carlo events. Monte Carlo events often are processed in a sophisticated chain that includes a simulation of the detector response. The generation and reconstruction of large samples is resource-intensive and in principle would need to be repeated if e.g. parameters responsible for the underlying models change due to new measurements or new insights. To avoid having to regenerate large samples, we work on a tool, The Helicity Amplitude Module for Matrix Element Reweighting (HAMMER), which allows one to easily reweight existing events in the context of semileptonic b → q ` ̄ ν ` analyses to new model parameters or new physics scenarios.SISSAoai:inspirehep.net:15976442017
spellingShingle Particle Physics - Phenomenology
Computing and Computers
Duell, Stephan
Bernlochner, Florian
Ligeti, Zoltan
Papucci, Michele
Robinson, Dean
HAMMER: Reweighting tool for simulated data samples
title HAMMER: Reweighting tool for simulated data samples
title_full HAMMER: Reweighting tool for simulated data samples
title_fullStr HAMMER: Reweighting tool for simulated data samples
title_full_unstemmed HAMMER: Reweighting tool for simulated data samples
title_short HAMMER: Reweighting tool for simulated data samples
title_sort hammer: reweighting tool for simulated data samples
topic Particle Physics - Phenomenology
Computing and Computers
url https://dx.doi.org/10.22323/1.282.1074
http://cds.cern.ch/record/2287330
work_keys_str_mv AT duellstephan hammerreweightingtoolforsimulateddatasamples
AT bernlochnerflorian hammerreweightingtoolforsimulateddatasamples
AT ligetizoltan hammerreweightingtoolforsimulateddatasamples
AT papuccimichele hammerreweightingtoolforsimulateddatasamples
AT robinsondean hammerreweightingtoolforsimulateddatasamples