Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Resolving Galactic binaries in LISA data using particle swarm
  optimization and cross-validation   The space-based gravitational wave (GW) detector LISA is expected to observe
signals from a large population of compact object binaries, comprised
predominantly of white dwarfs, in the Milky Way. Resolving individual sources
from this population against its self-generated confusion noise poses a major
data analysis problem. We present an iterative source estimation and
subtraction method to address this problem based on the use of particle swarm
optimization (PSO). In addition to PSO, a novel feature of the method is the
cross-validation of sources estimated from the same data using different signal
parameter search ranges. This is found to greatly reduce contamination by
spurious sources and may prove to be a useful addition to any multi-source
resolution method. Applied to a recent mock data challenge, the method is able
to find $O(10^4)$ Galactic binaries across a signal frequency range of
$[0.1,15]$ mHz, and, for frequency $\gtrsim 4$ mHz, reduces the residual data
after subtracting out estimated signals to the instrumental noise level.

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The categories of this paper are: mtrl-th
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The categories of this paper are: q-fin
15
The categories of this paper are: nucl-ex
1
The categories of this paper are: cs
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The categories of this paper are: eess
21
The categories of this paper are: adap-org
3
The categories of this paper are: physics
29
The categories of this paper are: funct-an
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The categories of this paper are: supr-con
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The categories of this paper are: plasm-ph
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The categories of this paper are: acc-phys
12
The categories of this paper are: nucl-th
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The categories of this paper are: comp-gas
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The categories of this paper are: econ
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The categories of this paper are: bayes-an
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The categories of this paper are: chao-dyn