Copyright 2017- Gautham Narayan ([email protected])

WDmodel is a DA White Dwarf model atmosphere fitting code. It fits observed spectrophotometry of DA White Dwarfs to infer intrinsic model atmosphere parameters in the presence of dust and correlated spectroscopic flux calibration errors, thereby determining full SEDs for the white dwarf. Its primary scientific purpose is to establish a network of faint (V = 16.5--19 mag) standard stars, suitable for LSST and other wide-field photometric surveys, and tied to HST and the CALSPEC system, defined by the three primary standards, GD71, GD153 and G191B2B.

Click on the badges above for code, licensing and documentation.

The code has been tested on Python 3.6 on both OS X (El Capitan, Sierra and High Sierra) and Linux (Debian-derivatives). Python 3.6 is highly recommended. Python 2.7 should work, but consider upgrading because this package's dependencies are dropping 2.7 support. Send us email or open an issue if you need help!

We've published the results from our combined Cycle 22 and Cycle 20 data, while ramping up for Cycle 25!

You can read about the analysis in Narayan et al., 2019

and the data in Calamida et al., 2019

The data from Cycle 20 and 22 are available on Zenodo

You can read also the first version of our preliminary analysis of four of the Cycle 20 objects here

That analysis was intended as a proof-of-concept and used custom IDL routines from Jay Holberg (U. Arizona) to infer DA intrinsic parameters and custom python code to fit the reddening parameters. This code is intended to (significantly) improve on that analysis.