Simulated pile-up dataset MinBias_TuneCP5_13TeV-pythia8 in GEN-SIM format for 2018 collision data
/MinBias_TuneCP5_13TeV-pythia8/RunIIFall18GS-IdealGeometry_102X_upgrade2018_design_v9-v1/GEN-SIM, CMS Collaboration
Cite as: CMS Collaboration (2019). Simulated pile-up dataset MinBias_TuneCP5_13TeV-pythia8 in GEN-SIM format for 2018 collision data. CERN Open Data Portal. DOI:10.7483/OPENDATA.CMS.9GLS.YHZ9
Dataset Simulated Standard Model Physics Minimum Bias CMS 13TeV pp CERN-LHC
Description
Simulated dataset MinBias_TuneCP5_13TeV-pythia8 in GEN-SIM format (see CMS Monte Carlo production overview) for 2018 collision data. Events are sampled from this dataset and added to simulated data to make them comparable with the 2018 collision data, see the guide to pile-up simulation.
See the description of the simulated dataset names in: About CMS simulated dataset names.
This simulated dataset corresponds to the collision data that was collected by the CMS experiment in 2018 and it was released in the context of data science sample production.
Dataset characteristics
100000 events. 5 files. 18.0 GiB in total.System details
102X_upgrade2018_design_v9CMSSW_10_2_5
How were these data generated?
These data were processed with (see also CMS Monte Carlo production overview):
Step GEN-SIM
Release: CMSSW_10_2_12_patch1
Global Tag: 102X_upgrade2018_design_v9
Generators: pythia8
Production script
(preview)
Generator parameters
(preview)
(link)
Configuration file
for SIM
(link)
How were these data validated?
These data were generated in context of machine learning and they have been validated through general CMS validation procedures.
How can you use these data?
You can access these data through the CMS Virtual Machine. See the instructions for setting up the Virtual Machine and getting started in
Disclaimer
These open data are released under the Creative Commons Zero v1.0 Universal license.
Neither the experiment(s) ( CMS ) nor CERN endorse any works, scientific or otherwise, produced using these data.
This release has a unique DOI that you are requested to cite in any applications or publications.
