pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process

Citation Metadata

Title title

pandas DataFrames of the DYToMuMu_M-20_CT10_TuneZ2star_v2_8TeV process

Author author

1. Author Name

   Saala, Timo

   Author Affiliation

   University of Bonn, Faculty of Mathematics and Natural Sciences, Physikalisches Institut

Dataset Contact datasetContact

1. Dataset Contact Name

   Saala, Timo

   Dataset Contact Affiliation

   University of Bonn, Faculty of Mathematics and Natural Sciences, Physikalisches Institut

   Dataset Contact Email

   tsaala@uni-bonn.de

Ds Description dsDescription

1. Ds Description Value

   This dataset contains pandas DataFrames that represent filtered versions of CMS Open Data (in the form of ROOT files) available on the CERN OpenData Portal. This dataset specifically contains data from a DYToMuMu process (Drell-Yan process resulting in two Muons in the final state), which is a simulated process created during the 2012 LHC run. <br> <br> A total of 121 (99 for real collision data) relevant variables are contained in the filtered pandas DataFrames that can be found here. A list of variables can be found below, for a full explanation of them, please refer to the following paper (PLACEHOLDER, REFERENCE PAPER HERE): <br> nEvent, runNum, lumisection, evtNum; <br> nMuon, vecMuon_PT, vecMuon_Eta, vecMuon_Phi, vecMuon_PTErr, vecMuon_Q, vecMuon_StaPt, vecMuon_StaEta, vecMuon_StaPhi, vecMuon_TrkIso03, vecMuon_EcalIso03, vecMuon_HcalIso03; <br> nVertex, vecVertex_nTracksfit, vecVertex_ndof, vecVertex_Chi2, vecVertex_X, vecVertex_Y, vecVertex_Z; <br> nEle, vecEle_PT, vecEle_Eta, vecEle_Phi, vecEle_Q, vecEle_TrkIso03, vecEle_EcalIso03, vecEle_HcalIso03, vecEle_D0, vecEle_Dz; <br> nTau, vecTau_PT, vecTau_Eta, vecTau_Phi, vecTau_Q, vecTau_RawIso3Hits, vecTau_RawIsoMVA3oldDMwoLT, vecTau_RawIsoMVA3oldDMwLT, vecTau_RawIsoMVA3newDMwoLT, vecTau_RawIsoMVA3newDMwLT; <br> nPhoton, vecPhoton_PT, vecPhoton_Eta, vecPhoton_Phi, vecPhoton_Hovere, vecPhoton_Sthovere, vecPhoton_HasPixelSeed, vecPhoton_IsConv, vecPhoton_PassElectronVeto; <br> nMctruth, vecMctruth_PT, vecMctruth_Eta, vecMctruth_Phi, vecMctruth_Id_1, vecMctruth_Id_2, vecMctruth_X_1, vecMctruth_X_2, vecMctruth_PdgId, vecMctruth_Status, vecMctruth_Y, vecMctruth_Mass, vecMctruth_Mothers.first, vecMctruth_Mothers.second; <br> nJets, vecJet_PT, vecJet_Eta, vecJet_Phi, vecJet_D0, vecJet_Dz, vecJet_nCharged, vecJet_nNeutrals, vecJet_nParticles, vecJet_Beta, vecJet_BetaStar, vecJet_dR2Mean, vecJet_Q, vecJet_Mass, vecJet_Area, vecJet_Energy, vecJet_chEmEnergy, vecJet_neuEmEnergy, vecJet_chHadEnergy, vecJet_neuHadEnergy, vecJet_ID, vecJet_Num, vecJet_mcFlavor, vecJet_GenPT, vecJet_GenEta, vecJet_GenPhi, vecJet_GenMass, vecJet_flavorMatchPT, vecJet_JEC, vecJet_MatchIdx; <br> nPF, vecPF_PT, vecPF_Eta, vecPF_Phi, vecPF_Mass, vecPF_E, vecPF_Q, vecPF_PfType, vecPF_EcalE, vecPF_HcalE, vecPF_ndof, vecPF_Chi2, vecPF_pvId, vecPF_X, vecPF_Y, vecPF_Z, vecPF_JetNum; <br> fMET_PT, fMET_Eta, fMET_Phi; <br> HLT_Mu17_Mu8, HLT_Mu24, HLT_MET120_v, HLT_Ele27, HLT_HT350. <br> <br> For the datasets containing data from real collisions at the LHC, the following variables are NOT contained: <br> nMctruth, vecMctruth_PT, vecMctruth_Eta, vecMctruth_Phi, vecMctruth_Id_1, vecMctruth_Id_2, vecMctruth_X_1, vecMctruth_X_2, vecMctruth_PdgId, vecMctruth_Status, vecMctruth_Y, vecMctruth_Mass, vecMctruth_Mothers.first, vecMctruth_Mothers.second; <br> vecJet_mcFlavor, vecJet_GenPT, vecJet_GenEta, vecJet_GenPhi, vecJet_GenMass, vecJet_flavorMatchPT, vecJet_JEC, vecJet_MatchIdx <br>

Subject subject

1. Computer and Information Science
2. Physics

Free Keyword freeKeyword

1. Free Keyword Value

   High Energy Physics

2. Free Keyword Value

   Deep Learning

Publication publication

1. Publication Relation Type

   Cites

   Publication Citation

   CMS collaboration (2017). Simulated dataset DYToMuMu_M-20_CT10_8TeV-powheg-pythia6 in AODSIM format for 2012 collision data. CERN Open Data Portal. DOI:10.7483/OPENDATA.CMS.UQL1.0C31

   Publication IDType

   doi

   Publication IDNumber

   10.7483/OPENDATA.CMS.UQL1.0C31

   Publication URL

   https://opendata.cern.ch/record/7741

2. Publication Relation Type

   IsCitedBy

   Publication Citation

   Timo Saala and Matthias Schott. Introduction to the Usage of Open Data from the Large Hadron Collider for Computer Scientists in the Context of Machine Learning. https://arx2501.06896iv.org/abs/ . 2025

   Publication IDType

   arXiv

   Publication IDNumber

   2501.06896

   Publication URL

   https://arxiv.org/abs/2501.06896

Notes Text notesText

This dataset is derived from datasets found on the CERN OpenData portal. The original dataset is a simulated dataset from the 2012 run at the LHC, representing a Drell-Yan process resulting in two final state Muons. <br> The accompanying thumbnail picture was taken from the CMS Collaboration: https://cds.cern.ch/record/2841512

Language language

1. English

Producer producer

1. Producer Name

   Schott Matthias

   Producer Affiliation

   University of Bonn, Faculty of Mathematics and Natural Sciences, Physikalisches Institut

Contributor contributor

1. Contributor Type

   Data Manager

   Contributor Name

   Saala Timo

2. Contributor Type

   Project Leader

   Contributor Name

   Schott Matthias

Depositor depositor

Saala, Timo

Date Of Deposit dateOfDeposit

2024-12-23

Kind Of Data kindOfData

1. Tabular Data (pandas DataFrames)

Software software

1. Software Name

   pandas

   Software Version

   1.1.3

Related Material relatedMaterial

1. A GitHub repository containing all necessary code and a tutorial in order to re-produce the given dataset, or produce more data from either the same or different original CMS Open Data can be found <a href="https://github.com/TSaala/OpenDataToDataFrame"> here </a>

Data Sources dataSources

1. CMS collaboration (2017). Simulated dataset DYToMuMu_M-20_CT10_8TeV-powheg-pythia6 in AODSIM format for 2012 collision data. CERN Open Data Portal. https://doi.org/10.7483/OPENDATA.CMS.UQL1.0C31

Characteristic Of Sources characteristicOfSources

CMS Open Data from the CERN OpenData Portal

Access To Sources accessToSources

Website: https://opendata.cern.ch/ Documentation: https://opendata.cern.ch/search?q=&f=type%3ADocumentation&l=list&order=desc&p=1&s=10&sort=mostrecent Everything is openly accessible