Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: The SkyLLH framework for IceCube point-source search   Hypothesis tests based on unbinned log-likelihood (LLH) functions are a
common technique used in multi-messenger astronomy, including IceCube's
neutrino point-source searches. We present the general Python-based tool
"SkyLLH", which provides a modular framework for implementing and executing
log-likelihood functions to perform data analyses with multi-messenger
astronomy data. Specific SkyLLH framework features for a new and improved
time-integrated IceCube point-source analysis are highlighted, including the
support for kernel density estimation (KDE) based probability density
functions. In addition, the support for a variety of point-source analysis
types, such as stacked and time-variable searches, will be presented.

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The categories of this paper are: adap-org
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The categories of this paper are: q-alg
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The categories of this paper are: stat
4
The categories of this paper are: cond-mat
31
The categories of this paper are: ao-sci
32
The categories of this paper are: atom-ph
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The categories of this paper are: physics
37
The categories of this paper are: supr-con
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The categories of this paper are: solv-int
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The categories of this paper are: plasm-ph
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The categories of this paper are: gr-qc
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The categories of this paper are: cs
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The categories of this paper are: econ
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The categories of this paper are: math-ph
0
The categories of this paper are: hep-ph
27
The categories of this paper are: comp-gas