atlas-ftag-tools 0.1.16

ATLAS Flavour Tagging Tools

ATLAS FTAG Python Tools

This is a collection of Python tools for working with files produced with the FTAG ntuple dumper. The code is intended to be used a library for other projects. Please see the example notebook for usage.

Quickstart

Installation

If you want to use this package without modification, you can install from pypi using pip.

pip install atlas-ftag-tools

To additionally install the development dependencies (for formatting and linting) use

pip install atlas-ftag-tools[dev]

Development

If you plan on making changes to teh code, instead clone the repository and install the package from source in editable mode with

python -m pip install -e .

Include development dependencies with

python -m pip install -e ".[dev]"

You can set up and run pre-commit hooks with

pre-commit install
pre-commmit run --all-files

To run the tests you can use the pytest or coverage command, for example

coverage run --source ftag -m pytest --show-capture=stdout

Running coverage report will display the test coverage.

Usage

Please see the example notebook for full usage. Additional functionality is also documented below.

Calculate WPs

This package contains a script to calculate tagger working points (WPs). The script is working_points.py and can be run after installing this package with

wps \
    --ttbar "path/to/ttbar/*.h5" \
    --tagger GN120220509 \
    --fx 0.1

Both the --tagger and --fx options accept a list if you want to get the WPs for multiple taggers.

If you want to use the ttbar WPs get the efficiencies and rejections for the zprime sample, you can add --zprime "path/to/zprime/*.h5" to the command. Note that a default selection of $p_T > 250 ~GeV$ to jets in the zprime sample.

If instead of defining the working points for a series of signal efficiencies, you wish to calculate a WP corresponding to a specific background rejection, the --rejection option can be given along with the desired background.

By default the working points are printed to the terminal, but you can save the results to a YAML file with the --outfile option.

See wps --help for more options and information.

Calculate efficiency at discriminant cut

The same script can be used to calculate the efficiency and rejection values at a given discriminant cut value. The script working_points.py can be run after intalling this package as follows

wps \
    --ttbar "path/to/ttbar/*.h5" \
    --tagger GN120220509 \
    --fx 0.1
    --disc_cuts 1.0 1.5

The --tagger, --fx, and --outfile follow the same procedure as in the 'Calculate WPs' script as described above.

H5 Utils

Create virtual file

This package contains a script to easily merge a set of H5 files. A virtual file is a fast and lightweight way to wrap a set of files. See the h5py documentation for more information on virtual datasets.

The script is vds.py and can be run after installing this package with

vds <pattern> <output path>

The <pattern> argument should be a quotes enclosed glob pattern, for example "dsid/path/*.h5"

See vds --help for more options and information.

h5move

A script to move/rename datasets inside an h5file. Useful for correcting discrepancies between group names. See h5move.py for more info.

h5split

A script to split a large h5 file into several smaller files. Useful if output files are too large for EOS/grid storage. See h5split.py for more info.