Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Modular Deep Learning Pipeline for Galaxy-Scale Strong Gravitational
  Lens Detection and Modeling   Upcoming large astronomical surveys are expected to capture an unprecedented
number of strong gravitational lensing systems in the Universe. Deep learning
is emerging as a promising practical tool in detection and quantification of
these galaxy-scale image distortions. However, absence of large quantities of
representative data from current astronomical surveys requires development of
robust forward modeling of synthetic lensing images. Using a realistic and
unbiased sample of the strong lenses created by using state-of-the-art
extragalactic catalogs, we train a modular deep learning pipeline for
uncertainty-quantified detection and modeling with intermediate image
processing components for denoising and deblending the lensing systems. We
demonstrate a higher degree of interpretability and controlled systematics due
to domain-specific task modules that are trained with different stages of
synthetic image generation. For lens detection and modeling, we obtain
semantically meaningful latent spaces that separate classes and provide
uncertainty estimates that explain the misclassified images and provide
uncertainty bounds on the lens parameters. In addition, we obtain an improved
performance---lens detection (classification) improved from 82% with the
baseline to 94%, while the lens modeling (regression) accuracy improved by 25%
over the baseline model.

35
The categories of this paper are: mtrl-th
21
The categories of this paper are: adap-org
27
The categories of this paper are: comp-gas
24
The categories of this paper are: dg-ga
2
The categories of this paper are: math
25
The categories of this paper are: patt-sol
33
The categories of this paper are: plasm-ph
30
The categories of this paper are: q-alg
31
The categories of this paper are: ao-sci
14
The categories of this paper are: math-ph
28
The categories of this paper are: alg-geom
5
The categories of this paper are: gr-qc
12
The categories of this paper are: nucl-th
26
The categories of this paper are: bayes-an
34
The categories of this paper are: chem-ph
4
The categories of this paper are: cond-mat