<commit_before># SLTimer
[![Build Status](https://travis-ci.org/DarkEnergyScienceCollaboration/SLTimer.svg?branch=master)](https://travis-ci.org/DarkEnergyScienceCollaboration/SLTimer)[![Coverage Status](https://coveralls.io/repos/github/DarkEnergyScienceCollaboration/SLTimer/badge.svg?branch=master)](https://coveralls.io/github/DarkEnergyScienceCollaboration/SLTimer?branch=master)

Time delay measurement from LSST light curves.

In the first instance (DC1), SLTimer will be a simple python class for calling community-developed time delay estimation algorithms, to enable early testing of DM-produced light curves in the [Twinkles project](https://github.com/DarkEnergyScienceCollaboration/Twinkles), and to check the Evil Team's simulated light curves in the [2nd Time Delay Challenge](http://timdelaychallenge.org). 

![Example mock multi-filter LSST data from the 2nd Time Delay Challenge](https://raw.githubusercontent.com/DarkEnergyScienceCollaboration/SLTimeDelayChallenge/master/docs/TDC2/figs/example_lcs.png?token=<PASSWORD>)

## Demos

* **[Basic time delay estimation on some standard test data](https://github.com/DarkEnergyScienceCollaboration/SLTimer/blob/master/notebooks/Demo.ipynb)** (under construction)


## People

* [<NAME>](https://github.com/DarkEnergyScienceCollaboration/SLTimer/issues/new?body=@TomGlanzman) (SLAC)
* [<NAME>](https://github.com/DarkEnergyScienceCollaboration/SLTimer/issues/new?body=@drphilmarshall) (SLAC)


## License, Contributing etc

This is open source software, available under the BSD license. If you are interested in this project, please do drop us a line via the hyperlinked contact names above, or by [writing us an issue](https://github.com/DarkEnergyScienceCollaboration/SLTimer/issues/new). To get started contributing to the SLTimer project, fork the repo and work through the [installation notes](https://github.com/DarkEnergyScienceCollaboration/SLTimer/blob/master/INSTALL.md). Pull requests are always welcome!
<commit_msg>Added Milan as contributor<commit_after># SLTimer
[![Build Status](https://travis-ci.org/DarkEnergyScienceCollaboration/SLTimer.svg?branch=master)](https://travis-ci.org/DarkEnergyScienceCollaboration/SLTimer)[![Coverage Status](https://coveralls.io/repos/github/DarkEnergyScienceCollaboration/SLTimer/badge.svg?branch=master)](https://coveralls.io/github/DarkEnergyScienceCollaboration/SLTimer?branch=master)

Time delay measurement from LSST light curves.

In the first instance (DC1), SLTimer will be a simple python class for calling community-developed time delay estimation algorithms, to enable early testing of DM-produced light curves in the [Twinkles project](https://github.com/DarkEnergyScienceCollaboration/Twinkles), and to check the Evil Team's simulated light curves in the [2nd Time Delay Challenge](http://timdelaychallenge.org). 

![Example mock multi-filter LSST data from the 2nd Time Delay Challenge](https://raw.githubusercontent.com/DarkEnergyScienceCollaboration/SLTimeDelayChallenge/master/docs/TDC2/figs/example_lcs.png?token=<PASSWORD>%3D%3D)

## Demos

* **[Basic time delay estimation on some standard test data](https://github.com/DarkEnergyScienceCollaboration/SLTimer/blob/master/notebooks/Demo.ipynb)** (under construction)


## People

* [<NAME>](https://github.com/DarkEnergyScienceCollaboration/SLTimer/issues/new?body=@TomGlanzman) (SLAC)
* [<NAME>](https://github.com/DarkEnergyScienceCollaboration/SLTimer/issues/new?body=@drphilmarshall) (SLAC)
* [<NAME>](https://github.com/DarkEnergyScienceCollaboration/SLTimer/issues/new?body=@milanwilliams) (<NAME>, San Jose)


## License, Contributing etc

This is open source software, available under the BSD license. If you are interested in this project, please do drop us a line via the hyperlinked contact names above, or by [writing us an issue](https://github.com/DarkEnergyScienceCollaboration/SLTimer/issues/new). To get started contributing to the SLTimer project, fork the repo and work through the [installation notes](https://github.com/DarkEnergyScienceCollaboration/SLTimer/blob/master/INSTALL.md). Pull requests are always welcome!

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