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<!DOCTYPE html />
<html>
<head>
<title>FATS: Feature Analysis for time series</title>
<LINK href="isadora2.css" rel="stylesheet" type="text/css">
<link rel="stylesheet" href="webfonts.css" media="screen" />
<script type="text/javascript" src="http://ajax.googleapis.com/ajax/libs/jquery/1.7.1/jquery.min.js"></script>
<script type="text/javascript" src="/is/js/release/kveik.1.4.24.js?1"></script>
<script type="text/javascript" src="/is/contrib/jquery/plugins/jquery.color.min.js?1"></script>
<STYLE TYPE="text/css">
<!--
BODY
{
text-align:justify;
}
-->
</STYLE>
</head>
<body>
<div class="wrap1"><div class="wrap2"><div id="borderWrapper">
<div class="centerContent">
<div class="header fullWidth hideOverflow">
<div class="logo centerText">
<a href="./index.html">
<img src="logo2.png" alt="Lars Tornøe" width= 125%/><br />
<img src="harvard.gif" width=8% /><a class="menu" href="http://iacs.seas.harvard.edu">IACS, Harvard University</a>
</div>
<div class="topMenu medium halfWidth floatRight">
<ul class="ul2">
<!-- class="_active" -->
<li><a class="menu2" href="./index.html" >Home</a></li>
<li><a class="menu2" href="http://isadoranun.github.io/tsfeat/FeaturesDocumentation.html" target="_blank">Docs</a></li>
<li><a class="menu2" href="http://arxiv.org/abs/1506.00010" target="_blank">Paper</a></li>
<li><a class="menu2" href="https://github.com/isadoranun/FATS" target="_blank">Github</a></li>
</ul>
</div>
</div>
<br><br>
<div class="about">
<div class="left">
<div class="_isElement" id="_isElement_img">
<div class="centerText">
<img src="FATS2.png" alt="" width='410'/>
<!-- <img src="synthetic.png" alt="" width='410'/> -->
</div>
<br><br>
<!-- <hr width="500"> -->
</div>
</div>
<div class="right">
<div class="module">
<p class="intro"> <strong>FATS</strong> (Feature Analysis for Time Series) is a Python library for feature extraction from time series data. </p>
<p>In particular, we focus on one application: feature extraction for astronomical light curve data, although the library is generalizable for other uses</p>
<p>For a deeper understanding of <strong>FATS</strong> the user can visit the <a class="DownloadLC" href="http://arxiv.org/abs/1506.00010">arXiv article</a> , the <a class="DownloadLC" href="http://isadoranun.github.io/tsfeat/FeaturesDocumentation.html">documentation</a> or the <a class="DownloadLC" href="https://github.com/isadoranun/FATS">code</a>.</p>
<p>Download the python package from <a href="https://pypi.python.org/pypi/FATS" class="DownloadLC">https://pypi.python.org/pypi/FATS</a> or install it directly at the terminal as follows:</p>
<p><code>$ pip install FATS</code></p>
<p>How to cite <strong>FATS</strong>:
<ul style="list-style-type:disc">
<li>directly use the <a class="DownloadLC" href="http://adsabs.harvard.edu/cgi-bin/nph-bib_query?bibcode=2015arXiv150600010N&data_type=BIBTEX&db_key=PRE&nocookieset=1"><font color="#82CAFF">Bibtex</font></a> entry</li>
<li>copy the following formatted citation:
<code>
\bibitem[Nun et al.(2015)]{2015arXiv150600010N} Nun, I., Protopapas, P., Sim, B., et al.\ 2015, arXiv:1506.00010
</code>
</li>
</ul>
</div>
</div>
</div>
<div class="footer">
<p><strong>Isadora Nun </strong><a href="mailto:[email protected]" class="menu">[email protected]</a> & <strong>Pavlos Protopapas </strong><a href="mailto:[email protected]" class="menu">[email protected]</a></p></div>
</div>
</div>
</div>
</div>
</div>
</body>
</html>