155 citations · 1.4k across the 33 of their papers we have counts for
33 papers
Estimation of Photometric Redshifts. II. Identification of Out-of-Distribution Data with Neural Networks
Joongoo Lee, Min-Su Shin
In this study, we propose a three-stage training approach of neural networks for both photometric redshift estimation of galaxies and detection of out-of-distribution (OOD) objects…
A new approach to feature-based asteroid taxonomy in 3D color space: 1. SDSS photometric system
Dong-Goo Roh, Hong-Kyu Moon, Min-Su Shin +1
The taxonomic classification of asteroids has been mostly based on spectroscopic observations with wavelengths spanning from the VIS to the NIR. VIS-NIR spectra of 2500 aster…
Estimation of Photometric Redshifts. I. Machine Learning Inference for Pan-STARRS1 Galaxies Using Neural Networks
Joongoo Lee, Min-Su Shin
We present a new machine learning model for estimating photometric redshifts with improved accuracy for galaxies in Pan-STARRS1 data release 1. Depending on the estimation range of…
New Photometric Pipeline to Explore Temporal and Spatial Variability with KMTNet DEEP-South Observations
Seo-Won Chang, Yong-Ik Byun, Min-Su Shin +6
The DEEP-South photometric census of small Solar System bodies produces massive time-series data of variable, transient or moving objects as a by-product. To fully investigate unex…
Implications of Strong Intergalactic Magnetic Fields for Ultra-High-Energy Cosmic-Ray Astronomy
Rafael Alves Batista, Min-Su Shin, Julien Devriendt +2
We study the propagation of ultra-high-energy cosmic rays in the magnetised cosmic web. We focus on the particular case of highly magnetised voids (), using the u…
Ram pressure stripping in elliptical galaxies: II. magnetic field effects
Min-Su Shin, Mateusz Ruszkowski
We investigate the effects of magnetic fields and turbulence on ram pressure stripping in elliptical galaxies using ideal magnetohydrodynamics simulations. We consider weakly-magne…