Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Construction of a Calibrated Probabilistic Classification Catalog:
  Application to 50k Variable Sources in the All-Sky Automated Survey   With growing data volumes from synoptic surveys, astronomers must become more
abstracted from the discovery and introspection processes. Given the scarcity
of follow-up resources, there is a particularly sharp onus on the frameworks
that replace these human roles to provide accurate and well-calibrated
probabilistic classification catalogs. Such catalogs inform the subsequent
follow-up, allowing consumers to optimize the selection of specific sources for
further study and permitting rigorous treatment of purities and efficiencies
for population studies. Here, we describe a process to produce a probabilistic
classification catalog of variability with machine learning from a multi-epoch
photometric survey. In addition to producing accurate classifications, we show
how to estimate calibrated class probabilities, and motivate the importance of
probability calibration. We also introduce a methodology for feature-based
anomaly detection, which allows discovery of objects in the survey that do not
fit within the predefined class taxonomy. Finally, we apply these methods to
sources observed by the All Sky Automated Survey (ASAS), and unveil the
Machine-learned ASAS Classification Catalog (MACC), which is a 28-class
probabilistic classification catalog of 50,124 ASAS sources. We estimate that
MACC achieves a sub-20% classification error rate, and demonstrate that the
class posterior probabilities are reasonably calibrated. MACC classifications
compare favorably to the classifications of several previous domain-specific
ASAS papers and to the ASAS Catalog of Variable Stars, which had classified
only 24% of those sources into one of 12 science classes. The MACC is publicly
available at http://www.bigmacc.info.

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The categories of this paper are: cmp-lg
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The categories of this paper are: hep-lat
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The categories of this paper are: quant-ph
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The categories of this paper are: atom-ph
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The categories of this paper are: math-ph
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The categories of this paper are: solv-int
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The categories of this paper are: acc-phys
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The categories of this paper are: cond-mat
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The categories of this paper are: alg-geom
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The categories of this paper are: chem-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: mtrl-th
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The categories of this paper are: funct-an
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The categories of this paper are: plasm-ph
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The categories of this paper are: bayes-an
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The categories of this paper are: hep-ex