Stellar mass galaxy estimator
Project description
Mstar: ML Stellar Mass Estimator
Mstar is a fast and precise stellar mass estimator for the Dark Energy Survey (DES) galaxies. The algorithm consists of a machine learning code based on the Artificial Neural Networks (ANN) architecture. Checkout our github repo.
The estimator was trained on the DES deep fields matched with the COSMOS dataset. Our results were cross validated with a local volume sample, the SDSS sample matched with DES. For more information about the validation process take a look at Esteves et al. 2023
How to use
The input information is simply the galaxy redshift colors and the z-band magnitude.
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