Normtags and Data Certification

Overview

Teaching: 10 min
Exercises: 20 min
Questions
  • What is a normtag?

  • What is data certification?

Objectives
  • Learn what is a normtag and how to use it

  • Learn about data certification and how it relates to physics analyses

Important

This exercise is meant to be run from lxplus.cern.ch.

Please follow the setup instructions before getting started.

Normtags

A normtag is a file that defines the official luminosity calibrations and detectors to use for a given period. The normtag files are maintained by the Lumi POG and periodically updated as the calibrations are improved. It is important to always use the latest normtag in order to get the best results.

Important

Never run brilcalc without a --normtag argument unless you know exactly what you are doing.
Running brilcalc without --normtag will give you the online luminosity, which can change significantly by improvements in calibration. It is neither accurate, nor precise, nor stable.

The physics normtag is /cvmfs/cms-bril.cern.ch/cms-lumi-pog/Normtags/normtag_PHYSICS.json. Always use this normtag for pp runs. This is the only normtag which can be used for physics analyses. It covers all periods for which there is a final approved number for physics (which includes all pp running and some special runs).

The preliminary normtag is /cvmfs/cms-bril.cern.ch/cms-lumi-pog/Normtags/normtag_BRIL.json. It contains the best-available preliminary calibrations and can be used for cases when an approved number is not available yet (i.e. for 2023-2024).

3.1 Query fill 8333 using the physics normtag

Using the physics normtag, what is the recorded luminosity in picobarns for fill 8333?

3.2 Query fill 9666 using the BRIL normtag

Using the BRIL normtag, what is the recorded luminosity in picobarns for fill 9666?

Data Certification

Data collected by CMS is certified on a luminosity-section basis to determine the subset of data of good quality to be included in physics analyses. Data certification is carried out by taking into account both the operational health of the sub-detectors and scrutiny of the reconstructed physics objects by DPG and POG experts. The outcome of the certification process is regularly updated as more data gets collected, and for each new version of the data processing, by the DQM-DataCertification. One of the main deliverables of this process are JSON files listing runs and lumisection which are good for physics analysis.

Key Points

  • Make sure to use a normtag when querying brilcalc for your analysis

  • Data collected by CMS needs to be evaluated and a subset is certified as good quality data to be used for physics analysis