Skip to content

Supernova classification Pipeline Leveraging Attributes of Supernova Hosts (SPLASH): A machine learning pipeline that classifies supernovae by first inferring their host's properties

License

Notifications You must be signed in to change notification settings

Adam-Boesky/astro_SPLASH

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

96 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Supernova classification Pipeline Leveraging Attributes of Supernova Hosts (SPLASH)

SPLASH classifies supernovae by using photometry to infer their host properties, and then using those properties (along with host-supernova angular separation) to predict supernova classes.

Here we are classifying supernova detections from ZTF in real time!

Here's the scientific paper INSERT PAPER!

Installation

The pacakge can be installed from the python package index with

pip install astro_SPLASH

About

Supernova classification Pipeline Leveraging Attributes of Supernova Hosts (SPLASH): A machine learning pipeline that classifies supernovae by first inferring their host's properties

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages