Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The EB Factory Project I. A Fast, Neural Net Based, General Purpose
  Light Curve Classifier Optimized for Eclipsing Binaries   We describe a new neural-net based light curve classifier and provide it with
documentation as a ready-to-use tool for the community. While optimized for
identification and classification of eclipsing binary stars, the classifier is
general purpose, and has been developed for speed in the context of upcoming
massive surveys such as LSST. A challenge for classifiers in the context of
neural-net training and massive data sets is to minimize the number of
parameters required to describe each light curve. We show that a simple and
fast geometric representation that encodes the overall light curve shape,
together with a chi-square parameter to capture higher-order morphology
information results in efficient yet robust light curve classification,
especially for eclipsing binaries. Testing the classifier on the ASAS light
curve database, we achieve a retrieval rate of 98\% and a false-positive rate
of 2\% for eclipsing binaries. We achieve similarly high retrieval rates for
most other periodic variable-star classes, including RR Lyrae, Mira, and delta
Scuti. However, the classifier currently has difficulty discriminating between
different sub-classes of eclipsing binaries, and suffers a relatively low
($\sim$60\%) retrieval rate for multi-mode delta Cepheid stars. We find that it
is imperative to train the classifier's neural network with exemplars that
include the full range of light curve quality to which the classifier will be
expected to perform; the classifier performs well on noisy light curves only
when trained with noisy exemplars. The classifier source code, ancillary
programs, a trained neural net, and a guide for use, are provided.

30
The categories of this paper are: q-alg
9
The categories of this paper are: nlin
14
The categories of this paper are: math-ph
15
The categories of this paper are: nucl-ex
4
The categories of this paper are: cond-mat
0
The categories of this paper are: hep-ph
29
The categories of this paper are: funct-an
10
The categories of this paper are: q-bio
19
The categories of this paper are: eess
25
The categories of this paper are: patt-sol
26
The categories of this paper are: bayes-an
36
The categories of this paper are: cmp-lg
16
The categories of this paper are: stat
11
The categories of this paper are: hep-lat
5
The categories of this paper are: gr-qc
1
The categories of this paper are: cs