2 papers
astro-ph.GA2024
Photometric Analysis for Predicting Star Formation Rates in Large Galaxies Using Machine Learning and Deep Learning Techniques
Satvik Raghav, Prasanth Ayitapu, Sathwik Narkedimilli +2
Star formation rates (SFRs) are a crucial observational tracer of galaxy formation and evolution. Spectroscopy, which is expensive, is traditionally used to estimate SFRs. This stu…
astro-ph.SR2024
Predicting Stellar Metallicity: A Comparative Analysis of Regression Models for Solar Twin Stars
Sathwik Narkedimilli, Satvik Raghav, Sujith Makam +2
The research focuses on determining the metallicity ([Fe/H]) predicted in the solar twin stars by using various regression modeling techniques which are, Random Forest, Linear Regr…