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Analysis code for extracting the trigger information from the CMS 2010 data

Carrera, Edgar

Cite as: Carrera, Edgar; (2017). Analysis code for extracting the trigger information from the CMS 2010 data. CERN Open Data Portal. DOI:10.7483/OPENDATA.CMS.TE10.IIC8

Software Analysis Workflow CMS CERN-LHC


Description

This is an example of the C++ code (and its configuration in Python) needed to extract the trigger information from CMS Open/Legacy data. These instructions are valid to work with 2010 data. Snippets of this software can be used for physics analysis.

The examples, within the code, have plenty of in-line comments to make it more understandable and to point potential users to the original information sources. It has been put together compiling the most important pieces of already-available CMSSW software.

If downloading the files at the bottom, please always use the latest version as the older ones are deprecated.

Use with

Use this with any CMS 2010 primary dataset and/or Monte Carlo datasets.

Characteristics

2 files. 39.7 KiB in total.

System details

Use this code with the CMS Open Data VM environment or the corresponding Docker container
CMSSW_4_2_8

CMS VM Image, for 2010 CMS open data

How can you use this?

If you do not have the CERN Virtual Machine for 2010 CMS data installed, follow the instructions in step 1 at How to install a CERN Virtual Machine. Or, alternatively, install the corresponding Docker container.

To run the analysis, follow the instructions at https://github.com/cms-opendata-analyses/TriggerInfoTool/tree/2010.

If downloading the files at the bottom, please always use the latest version as the older ones are deprecated.

Source code repository

https://github.com/cms-opendata-analyses/TriggerInfoTool/tree/2010

      

Disclaimer

These open data are released under the GNU General Public License v3.0.

Logo GPL-3.0-only

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.

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