dirac-institute / classe Goto Github PK
View Code? Open in Web Editor NEWClassification Engine for Lightcurves
Classification Engine for Lightcurves
A running list of methods + algorithms to chase up and explore:
Possibly useful papers/reviews:
I can think of three main objectives the light curve classification engine might have:
All three require slightly different approaches, I think. For example, for transient follow-up, one might want to minimize the false-positive rate on certain transients, but this unlikely a good objective for basing population studies off a classifier.
The solution might be to build a system that makes acceptable trade-offs, but that requires defining what those trade-offs are and what our minimum requirements on each objective is.
Are there other objectives I've not thought of?
Things we need to be aware of or worry about:
Will need to add more as we think of them.
Generate an overview of papers that classify RR-Lyr from their light curves and the techniques they use
Here's an initial (very broad, quite cursory) list of mostly very recent literature in this domain, as a starting point. This is not comprehensive, so additions are welcome:
*https://journals.aps.org/prd/abstract/10.1103/PhysRevD.95.104059
My cursory reading is that there is a lot already out there on this topic, and it seems to me that perhaps the Berkeley group around Josh Bloom has done the most comprehensive development of a transient classification system so far.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.