This repository contains codes required to generate astroNN APOGEE VAC

• astroNN DR16 VAC: https://www.sdss.org/dr16/data_access/value-added-catalogs/?vac_id=the-astronn-catalog-of-abundances,-distances,-and-ages-for-apogee-dr16-stars
• astroNN DR1 7VAC: To be released publicly

python>=3.6, numpy, scipy, astropy, astroquery, galpy, astroNN, pyyaml, statsmodels, h5py, gaia_tools

zero_point are required to correct Gaia zeropoint: https://gitlab.com/icc-ub/public/gaiadr3_zeropoint

Please review the configurations stored in the following following files before running any script.

• config.py
  Global configuration for the scripts
• gaia_credential
  Gaia login if you have any
• utils.py
  Contains a few useful utility functions
• aspcap_norm.py
  A simple script to retrieve all ASPCAP normalized spectra and save to a single file

Please run the scripts in ASCENDING ORDER

• 0_dr14_reference_contspec.py
  This script continuum normalizing the original data set that the models trained on (aka dr14)
• 1_continuum_norm.py
  This script continuum normalizing all the APOGEE spectra and save them to a single fits
• 2_gaia_xmatch.py
  This script cross matching APOGEE-Gaia to get all columns and save them to a single fits
• 3_astroNN_chem_dist_ages.py
  This script uses neural network models to get abundances, distance, ages and save them to fits
• 4_orbital_parameters.py
  This script uses galpy to generate orbital parameters and save them to fits
• 5_compile_vac.py
  This script uses all the fits files we have generated and compile VAC
• 6_diagnostic_plots.py
  This script make some summary plots for the VAC

• APOKASC_cat_v6.6.1.fits.zip: https://trac.sdss.org/attachment/wiki/APOGEE2/APOKASC/Catalog/APOKASC_cat_v6.6.1.fits.zip
• kepler_low_metallicity_with_samples.fits: Internal use only

The folder astroNN_0617_run001, astroNN_constant_model_reduced, APOKASC2_BCNN_age_only_corrections0.1 are original neural network models used in DR16 VAC

We have retrained our models for DR17 VAC, the training scripts and sanity checks notebook are under the folder dr17-VAC-notebooks

The folder astroNN_0512_run002, astroNN_gaia_dr17_model_3, APOKASC2_BCNN_age_combined_dr17_4 are new neural network models used in DR17 VAC

lco_apo_median_dr17sync.npy is the clculated median difference between apo25m and lco25m

• Henry Leung - henrysky
  Contact Henry: henrysky.leung [at] utoronto.ca
• Jo Bovy - jobovy
• Ted Mackereth - jmackereth