astrohanp / ml-in-galaxy-evolution

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ml-in-galaxy-evolution

This repository is meant to be a compilation of papers published with the applications of machine learning in galaxy evolution. The following lists are not exhaustive.


Table of Contents

Section List


Photometric Redshift Estimation

Title Year ADS link
ANNz: estimating photometric redshifts using artificial neural networks 2004 https://ui.adsabs.harvard.edu/abs/2004PASP..116..345C/abstract
Estimating Photometric Redshifts Using Support Vector Machines 2005 https://ui.adsabs.harvard.edu/abs/2005PASP..117...79W/abstract

Spectroscopic Redshift Estimation

Title Year ADS link
Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data 2018 https://ui.adsabs.harvard.edu/abs/2018arXiv180909622S/abstract
Spectroscopic and Photometric Redshift Estimation by Neural Networks For the China Space Station Optical Survey (CSS-OS) 2021 https://ui.adsabs.harvard.edu/abs/2021arXiv210102532Z/abstract

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