Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: UniMAP: Model-free detection of unclassified noise transients in
  LIGO-Virgo data using the Temporal Outlier Factor   Data from current gravitational wave detectors contains a high rate of
transient noise (glitches) that can trigger false detections and obscure true
astrophysical events. Existing noise-detection algorithms largely rely on
model-based methods that may miss noise transients unwitnessed by auxiliary
sensors or with exotic morphologies. We propose the Unicorn Multi-window
Anomaly-detection Pipeline (UniMAP): a model-free algorithm to identify and
characterize transient noise leveraging the Temporal Outlier Factor (TOF) via a
multi-window data-resampling scheme. We show this windowing scheme extends the
anomaly detection capabilities of the TOF algorithm to resolve noise transients
of arbitrary morphology and duration. We demonstrate the efficacy of this
pipeline in detecting glitches during LIGO and Virgo's third observing run, and
discuss potential applications.

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The categories of this paper are: bayes-an
2
The categories of this paper are: math
23
The categories of this paper are: solv-int
16
The categories of this paper are: stat
29
The categories of this paper are: funct-an
15
The categories of this paper are: nucl-ex
7
The categories of this paper are: hep-th
4
The categories of this paper are: cond-mat
22
The categories of this paper are: chao-dyn
17
The categories of this paper are: q-fin
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The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
14
The categories of this paper are: math-ph
25
The categories of this paper are: patt-sol
1
The categories of this paper are: cs
36
The categories of this paper are: cmp-lg