skyllh 23.1.0

The SkyLLH framework is an open-source Python3-based package licensed under the GPLv3 license. It provides a modular framework for implementing custom likelihood functions and executing log-likelihood ratio hypothesis tests. The idea is to provide a class structure tied to the mathematical objects of the likelihood functions.

SkyLLH

[Full documentation].

The SkyLLH framework is an open-source Python3-based package licensed under the GPLv3 license. It provides a modular framework for implementing custom likelihood functions and executing log-likelihood ratio hypothesis tests. The idea is to provide a class structure tied to the mathematical objects of the likelihood functions, rather than to entire abstract likelihood models.

Installation

Using pip

The latest skyllh release can be installed from PyPI repository:

pip install skyllh

The current development version can be installed using pip:

pip install git+https://github.com/icecube/skyllh.git#egg=skyllh 

Optionally, the editable package version with a specified reference can be installed by:

pip install -e git+https://github.com/icecube/skyllh.git@[ref]#egg=skyllh 

where

• -e is an editable flag
• [ref] is an optional argument containing a specific commit hash, branch name or tag

Cloning from GitHub

The skyllh (and an optional private i3skyllh) package can be installed by cloning the GitHub repository and adding it to the Python path:

import sys

sys.path.insert(0, '/path/to/skyllh')
sys.path.insert(0, '/path/to/i3skyllh')  # optional

i3skyllh

The i3skyllh package provides complementary pre-defined common analyses and datasets for the IceCube Neutrino Observatory detector in a private repository.