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User-defined science module for the Fink broker.

Project description

pypi Build Status codecov

Fink Science

This repository contains science modules used to generate added values to alert collected by the Fink broker. It currently contains:

  • xmatch: returns the SIMBAD closest counterpart of an alert, based on position.
  • random_forest_snia: returns the probability of an alert to be a SNe Ia using a Random Forest Classifier (binary classification)

How to contribute

Learn how to design your science module, and integrate it inside the Fink broker.

Installation

If you want to install the package (broker deployment), you can just pip it:

pip install fink_science

Project details


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Files for fink-science, version 0.1.3
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