Auriga

Auriga neural net predicts age, extinction, and distance to stellar populations

Installation:

pip install auriga (requires Python3)

Keywords:

``` positional arguments: tableIn Input table with Gaia DR2 source ids and cluster ids

optional arguments: -h, --help show this help message and exit --tutorial Use included test.fits or test.csv files as inputs --tableOut TABLEOUT Prefix of the csv file into which the cluster properties should be written, default tableIn-out --iters ITERS Number of iterations of each cluster is passed through Auriga to generate the errors, default 10 --localFlux Download necessary flux from Gaia archive for all source ids, default True --saveFlux SAVEFLUX If downloading flux, prefix of file where to save it, default empty --silent Suppress print statements, default False --cluster CLUSTER Column with cluster membership --sourceid SOURCEID Column with Gaia DR2 source id, --gaiaFluxErrors If loading flux, whether uncertainties in Gaia bands have been converted from flux to magnitude, default True --g G If loading flux, column for G magnitude --bp BP If loading flux, column for BP magnitude --rp RP If loading flux, column for RP magnitude --j J If loading flux, column for J magnitude --h H If loading flux, column for H magnitude --k K If loading flux, column for K magnitude --parallax PARALLAX If loading flux, column for parallax --eg EG If loading flux, column for uncertainty in G magnitude --ebp EBP If loading flux, column for uncertainty in BP magnitude --erp ERP If loading flux, column for uncertainty in RP magnitude --ej EJ If loading flux, column for uncertainty in J magnitude --eh EH If loading flux, column for uncertainty in H magnitude --ek EK If loading flux, column for uncertainty in K magnitude --eparallax EPARALLAX If loading flux, column for uncertainty in parallax --gf GF If uncertainties have not been converted to magnitudes, column for G flux --bpf BPF If uncertainties have not been converted to magnitudes, column for BP flux --rpf RPF If uncertainties have not been converted to magnitudes, column for RP flux --egf EGF If uncertainties have not been converted to magnitudes, column for uncertainty in G flux --ebpf EBPF If uncertainties have not been converted to magnitudes, column for uncertainty in BP flux --erpf ERPF If uncertainties have not been converted to magnitudes, column for uncertainty in RP flux --memoryOnly Store table only in memory without saving to disk --ver VER Version of Gaia data to download, default DR3

```

Examples:

Downloading photometry from the Gaia Archive for the sources defined in the fits table, saving the fluxes, and generating the outputs auriga test.fits --tableOut test-out --saveFlux test --tutorial

Using previously downloaded fluxes to generate predictions. 20 implementations of each cluster are generated instead of 10, to estimate the uncertainties in the cluster parameters auriga test.csv --localFlux --iters=20 --tutorial

Using previously downloaded fluxes, defining all the necessary columns ``` auriga test.fits --localFlux --gaiaFluxErrors --g photgmeanmag --bp photbpmeanmag \ --rp photrpmeanmag --j jm --h hm --k ksm --ej jmsigcom --eh hmsigcom \ --ek ksmsigcom --eparallax parallaxerror --tutorial --silent

Using from within a code, outside of a command line from auriga.auriga import getClusterAge t=Table.read('test.csv') out=getClusterAge(t,localFlux=True) out=getClusterAge('test.csv',tutorial=True,memoryOnly=True) ```

Required packages:

• Astropy
• Astroquery
• Pytorch
• Pandas