Fink Science

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

xmatch: perform a crossmatch of the stream with external catalogs
- cdsxmatch: returns the SIMBAD closest counterpart of an alert, based on position using the CDS xmatch service (online).
- gcvs: returns the closest counterpart of an alert in the General Catalog of Variable Stars.
- vsx: returns the closest counterpart of an alert in the International Variable Star Index.
random_forest_snia: returns the probability of an alert to be a SNe Ia using a Random Forest Classifier (binary classification)
snn: returns the probability of an alert to be a SNe Ia using SuperNNova. Two pre-trained models:
- snn_snia_vs_nonia: Ia vs core-collapse SNe
- snn_sn_vs_all: SNe vs. anything else (variable stars and other categories in the training)
microlensing: returns the predicted class (among microlensing, variable star, cataclysmic event, and constant event) & probability of an alert to be a microlensing event in each band using LIA.
asteroids: Determine if the alert is a Solar System Object (experimental).
nalerthist: Number of detections contained in each alert (current+history). Upper limits are not taken into account.
kilonova: returns the probability of an alert to be a kilonova using a Random Forest Classifier (binary classification).

You will find README in each subfolder describing the module.

How to contribute

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

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

pip install fink_science

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution for fink-science 0.4.8
File	Size	Uploaded
fink-science-0.4.8.tar.gz	30.0 MB	Aug 11, 2021	Details

Table of built distributions (wheels) for fink-science 0.4.8
File	Interpreter	ABI	Platform	Reset
fink_science-0.4.8-py3-none-any.whl 30.4 MB Aug 11, 2021	Python 3	none	any	Details

Total release size: 60.4 MB

Download URL	fink-science-0.4.8.tar.gz
Size	30.0 MB
Tags	Source
SHA-256 checksum How to use checksums	`089e903ba541be0a7a9be73e79da069f4772d3d8b36e70e20a21c7506a7504af`
BLAKE2b-256 checksum How to use checksums	`7285e78f5df05006a0b5ebc2f438e94027052350c87f4dc6509c5fe172fc1cf7`
Upload date	Aug 11, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.4.2 requests/2.25.1 setuptools/50.3.2 requests-toolbelt/0.8.0 tqdm/4.60.0 CPython/3.7.1`

Download URL	fink_science-0.4.8-py3-none-any.whl
Size	30.4 MB
Tags	Python 3
SHA-256 checksum How to use checksums	`307a06c06c5b5db1d0480834622fc945f6b3f3d6b274f3c6a75d6ef15b4a906f`
BLAKE2b-256 checksum How to use checksums	`67e5139031aad769b3595dc9c142ce1ebeff09c349b98c38917b0549bce4fcb2`
Upload date	Aug 11, 2021
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/1.12.1 pkginfo/1.4.2 requests/2.25.1 setuptools/50.3.2 requests-toolbelt/0.8.0 tqdm/4.60.0 CPython/3.7.1`