2 citations · 2 across the 3 of their papers we have counts for
3 papers
A Comparison of Star Formation Rates by Different Tracers in Nearby Galaxies
Huynh Anh N. Le, Jong-Hak Woo, Yongquan Xue +3
We utilize a large sample of 113,000 galaxies () from the Sloan Digital Sky Survey with high-quality data to compare star formation rates (SFRs) across multiple diag…
Prediction of Star Formation Rates Using an Artificial Neural Network
Ashraf Ayubinia, Jong-hak Woo, Fatemeh Hafezianzadeh +2
In this study, we develop an artificial neural network to estimate the infrared (IR) luminosity and star formation rates (SFR) of galaxies. Our network is trained using 'true' IR l…
Machine learning-based photometric classification of galaxies, quasars, emission-line galaxies, and stars
Fatemeh Zahra Zeraatgari, Fatemeh Hafezianzade, Yanxia Zhang +4
This paper explores the application of machine learning methods for classifying astronomical sources using photometric data, including normal and emission line galaxies (ELGs; star…