gammaloop 0.3.3

Computation of differential cross-sections using Local Unitarity.

See www.alphaloop.ch for details on the theoretical framework and related literature.

See the wiki for more information on the project.

TL;DR: I want to be running γLoop already!

We salute the eagerness of our users!

If you want to jump right in, run the following to immediately start integrating the scalar three-loop mercedes diagram,

git clone https://github.com/alphal00p/gammaloop.git && cd gammaloop
./bin/compile.sh
./bin/gammaloop example/cards/scalar_mercedes.gL

or a one-loop hexagon diagram from the scattering process $\gamma \gamma \rightarrow \gamma \gamma \gamma \gamma$ (through a top-quark loop) with:

./bin/gammaloop examples/cards/physical_1L_AA_AAAA.gL

You can also generate diagrams for the computation of cross-sections or amplitudes with:

> ./bin/gammaloop -c "import_model sm;\
generate_amplitude d d~ > d d~ e+ e- | u d g ghg e- a QED=2 [{2} QCD=2];\
output MyProcess -exp -mr -ef mathematica --yaml_only;"
[...]
INFO    : A total of 2214 graphs have been generated in 00:00:49.142.

You can then visualize all diagrams with:

> cd ./MyProcess/sources/amplitudes/GL_ddx_ddxepem/drawings/dot
> make -j &> /dev/null
> ls feynman_diagrams.pdf

and import their corresponding symbolic expressions from:

> ls ./MyProcess/sources/amplitudes/GL_ddx_ddxepem/expressions
[...] GL1016_exp.json  GL1223_exp.json  GL1426_exp.json  GL1816_exp.json [...]
> head -2 ./MyProcess/sources/amplitudes/GL_ddx_ddxepem/expressions/GL84_exp.json
[
  "-2/3 𝑖 ee^2 G^6 Metric[mink[4,6],mink[4,13]] Metric[mink[4,7],mink[4,12]] Metric[mink[4,8],mink[4,11]] Metric[mink[4,9],[mink[4,10]] T[coad[8,10],cof[3,9],dind[cof[3,8]]] T[coad[8,13],cof[3,12],dind[cof[3,11]]] [...]",

which can be further processed to your liking using e.g. Mathematica, Symbolica and / or spenso.

Process generation syntax is detailed on γLoop's wiki.

Installation

> Requirements

The installation may be successful with older versions than the ones indicated below, but it was not tested.

• Rust: v1.81+ You can easily install Rust with this one-liner

• Python3: v3.12+ (equipped with pip, and the python-devel dependency)

• GNU gcc: v14+

• git

Windows users are encouraged to use WSL 2.

> Installation using pip

pip install gammaloop
gammaloop --build_dependencies

> Installation from sources

git clone https://github.com/alphal00p/gammaloop.git
cd gammaloop
./bin/compile.sh --release

The relevant binaries will then be in ./bin/ and the gammaloop python module is located at ./python/gammaloop.

Note: Alternatively, the dependencies can be built within a python virtual environment as follows:

./bin/build_dependencies.sh clean
./bin/build_dependencies.sh with_venv
# From within a `bash` shell, use the command below
source `./bin/gammaloop -venv`
# From within a `fish` shell, use the command below
. (./bin/gammaloop -venv).fish

Tests

> Testing an installation from pip

From within the installation directory of the gammaloop module, which you can cd into with e.g.:

bash -c 'cd `python -c "import os; import gammaloop; print(os.path.dirname(gammaloop.__file__))"`; pwd'

You can test your gammaLoop installation by running (incl. only tests with a maximum runtime of 15 seconds):

python -m pytest --max-runtime 15.0

> Testing an installation from sources

From within the installation directory, run:

/bin/run_tests.sh python
/bin/run_tests.sh rust

Usage

There are three entry points to the GammaLoop functionalities:

1. Preferred method is through the Python command-line interface gammaloop.

2. Alternatively, the same functionalities can be accessed programmatically, e.g. in a Jupyter notebook, through the Python API, by importing the gammaloop library.

3. Finally, expert users may also find it useful to steer some of functionalities directly from the rust binary gammaloop_rust_cli.

Both executables gammaloop and gammaloop_rust_cli are made available as scripts in the bin directory. The gammaloop Python module is also exposed after installation and ready to be imported by custom Python scripts.

1. Usage from the Python command-line interface: ./gammaloop

GammaLoop is typically used through the python command-line interface gammaloop. Place your list of commands in a file named e.g. cmd.gL, for instance:

# Content of file 'cmd.gL'
import_model sm --format ufo
export_model ./sm.yaml --format yaml

and run it with:

./bin/gammaloop cmd.gL

You can find more information on the syntax of the available commands in the wiki and by running:

./bin/gammaloop --help

to get an overview of available commands and:

./bin/gammaloop -c "help import_model"

to get help on any specific command.

You can find example of command files in the <MODULE_PATH>/data/run_cards/ directory.

2. Usage from within a Jupyter notebook: the Python API

Follow the example jupyter notebook given in example to get started with the Python API.

cd <GAMMALOOP_INSTALLATION_DIRECTORY>/examples/jupyter
jupyter notebook steer_gammaloop.ipynb

3. Usage from the rust binary executable: ./gammaloop_rust_cli

All typical usecases of GammaLoop are available through the Python command-line interface mentioned earlier. However, expert users might want to steer the Monte-Carlo integration directly using the gammaloop_rust_cli binary. This is possible throught the gammaloop_rust_cli binary, which can be used as follows:

./bin/gammaloop_rust_cli --config <MODULE_PATH>/gammaloop/data/run_cards/rust_run_config.yaml

Note: You have to manually define your desired external momenta in this default rust_run_config.yaml file.

You will find more information on the content of the run configuration file and steering options in the wiki and by running:

./bin/gammaloop_rust_cli --help