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Tools for Flexible Spectroscopic Inference

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Trying to follow http://iancze.github.io/Starfish/current/example_wasp14.html : When I use the 20-line example "YAML" file listed in "Just getting set up," and run "star.py --run_index 1", I get errors like "KeyError: 'parname'...

I have been adapting Starfish for use on low resolution DeVeny and Hydra spectra with input BT-Settl models containing temperature and log g information. When I get to the optimize...

I am trying to do the first WASP14 tutorial but have not been able to generate the hdf5 data yet. I setup config file like the docs as shown ....

At (sufficiently) high spectral resolution, and with (sufficiently) rapidly rotating stars, the line broadening can be dominated by the (projected) rotational broadening, often parameterized by vsini. At low spectral resolution,...

enhancement

Starfish currently supports calibration polynomials in the flux domain, parameterized as Chebyshev polynomials (c.f. Czekala et al. 2015). In principle there could be calibration uncertainties attributable to *wavelength-domain* instrumental artifacts--...

enhancement

Hi folks, I recently emailed some Starfish quick start notes to a colleague, and thought I'd post them here in case they are useful to anyone else. More tips/tricks for...

doc

Steps to reproduce: ``` import numpy as np import Starfish from Starfish.grid_tools import PHOENIXGridInterfaceNoAlpha grid = PHOENIXGridInterfaceNoAlpha(wl_range=[900, 50000], air=False) wl = grid.wl print("Air is {}: Maximum change in wavelength {:.3f}...

bug

_The problem:_ If we implement the mixture model feature, we will probably need to use _flux-calibrated_ model spectra; in other words, the non-normalized spectra natively produced by the model grid...

This will serve as a roadmap for the implementation of the "chunking" approach, which will eventually become a major mode of operation for Starfish. The rationale for doing this is...

Currently the code can model single stars with starspots @gully (with a single temp. and fill factor). We (@tofflemire, @gully and @edgillen) want to extend that to do full modelling...