User-defined science module for the Fink broker.
Project description
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
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