Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Lightweight HI source finding for next generation radio surveys   Future deep HI surveys will be essential for understanding the nature of
galaxies and the content of the Universe. However, the large volume of these
data will require distributed and automated processing techniques. We introduce
LiSA, a set of python modules for the denoising, detection and characterization
of HI sources in 3D spectral data. LiSA was developed and tested on the Square
Kilometer Array Science Data Challenge 2 dataset, and contains modules and
pipelines for easy domain decomposition and parallel execution. LiSA contains
algorithms for 2D-1D wavelet denoising using the starlet transform and flexible
source finding using null-hypothesis testing. These algorithms are lightweight
and portable, needing only a few user-defined parameters reflecting the
resolution of the data. LiSA also includes two convolutional neural networks
developed to analyse data cubes which separate HI sources from artifacts and
predict the HI source properties. All of these components are designed to be as
modular as possible, allowing users to mix and match different components to
create their ideal pipeline. We demonstrate the performance of the different
components of LiSA on the SDC2 dataset, which is able to find 95% of HI sources
with SNR > 3 and accurately predict their properties.

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The categories of this paper are: patt-sol
14
The categories of this paper are: math-ph
3
The categories of this paper are: physics
8
The categories of this paper are: hep-ex
22
The categories of this paper are: chao-dyn
18
The categories of this paper are: econ
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
11
The categories of this paper are: hep-lat
12
The categories of this paper are: nucl-th
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The categories of this paper are: bayes-an
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The categories of this paper are: alg-geom
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The categories of this paper are: comp-gas
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The categories of this paper are: mtrl-th
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The categories of this paper are: eess
5
The categories of this paper are: gr-qc