In this review, we explore the historical development and future prospects of artificial
intelligence (AI) and deep learning in astronomy. We trace the evolution of connectionism in …

Astronomy, being one of the oldest observational sciences, has collected a lot of data over
the ages. In recent times, it is experiencing a huge data surge due to advancements in …

Photometric redshifts are a key component of many science objectives in the Hyper Suprime-
Cam Subaru Strategic Program (HSC-SSP). In this paper, we describe and compare the …

The application of Bayesian methods in cosmology and astrophysics has flourished over the
past decade, spurred by data sets of increasing size and complexity. In many respects …

Key cosmological applications require the three-dimensional (3D) galaxy distribution on the
entire celestial sphere. These include measuring the gravitational pull on the Local Group …

We present posterior sample redshift distributions for the Hyper Suprime-Cam Subaru
Strategic Program Weak Lensing three-year (HSC Y3) analysis. Using the galaxies' …

Forthcoming large photometric surveys for cosmology require precise and accurate
photometric redshift (photo-z) measurements for the success of their main science …

Astronomy is experiencing a rapid growth in data size and complexity. This change fosters
the development of data-driven science as a useful companion to the common model-driven …

We propose a new method to estimate the photometric redshift of galaxies by using the full
galaxy image in each measured band. This method draws from the latest techniques and …

Image simulations are essential tools for preparing and validating the analysis of current and
future wide-field optical surveys. However, the galaxy models used as the basis for these …