Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Probabilistic Cross-Identification in Crowded Fields as an Assignment
  Problem   One of the outstanding challenges of cross-identification is multiplicity:
detections in crowded regions of the sky are often linked to more than one
candidate associations of similar likelihoods. We map the resulting maximum
likelihood partitioning to the fundamental assignment problem of discrete
mathematics and efficiently solve the two-way catalog-level matching in the
realm of combinatorial optimization using the so-called Hungarian algorithm. We
introduce the method, demonstrate its performance in a mock universe where the
true associations are known, and discuss the applicability of the new procedure
to large surveys.

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The categories of this paper are: nlin
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The categories of this paper are: hep-lat
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
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The categories of this paper are: supr-con
5
The categories of this paper are: gr-qc
20
The categories of this paper are: acc-phys
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The categories of this paper are: patt-sol
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The categories of this paper are: alg-geom
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The categories of this paper are: stat
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The categories of this paper are: q-fin
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The categories of this paper are: dg-ga
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The categories of this paper are: hep-ex
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The categories of this paper are: hep-th
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The categories of this paper are: cs
33
The categories of this paper are: plasm-ph