This is an Analysis Framework that is composed of a set of python macros with the objective to manage the reading and analysis of the samples of the 2016 open data release.
The Framework is divided into two main functionalities, with examples:
In the first part, a set of seven analysis examples, (W, Z, H and beyond SM analysis) has been included.
Those analysis are macros in python with defined cuts that produce a set of histograms.
The code is fully customisable by the user, like: samples to use, histograms to produce, the cuts to apply.
The second part of the framework, always in python, is responsable to take those histograms and produce plots in a final publication-style, with the correct normalisations, colours, legends and style in general.
The code is fully customisable too, leaving the opportunity to the user to select the samples to use, histograms to produce, style to apply.
Use this with ATLAS Data and MC Data for 2016 open data release
1 files. 26.3 KiB in total.
Use this code with ATLAS Virtual Machines for 2016 open data release V1.1
How can you use this?
More documentation is available at ATLAS GitHub repository: