Under Construction
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 code 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 in prep. Esteves et al. 2023
You can check out some validation plots made during fall at Fermilab 2022.
- Make Plot Functions
- Check python2 compatibility
- review API
- Make an example notebook
- Finish readme
The input information is simply the galaxy redshift colors and the z-band magnitude.