Comments (4)
Given that the theoretical isochrones (so far) do not exactly match the RGB, we might consider implementing an empirical isochrone motivated by the photometry of confirmed member stars in dSphs, or based on globular cluster ridgelines.
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Good point. We have a few empirical isochrones implemented in development versions of the code. We would need to roll a new isochrone tarball to distribute them more broadly.
from ugali.
regarding downloading the isochrone from web and built that in the code, I want to point out that Sergey has code doing that and it is available in the LSST hack project:
https://github.com/LSSTDESC/LSSTDarkMatter/tree/master/satellites
see down_girardi.py and read_girardi.py where he uses BeautifulSoup to download isochrone while running python.
As for the empirical isochrone, I think both using confirmed dwarf member and the globular cluster is a good idea.
One thing we never understand is that Josh claim for SDSS dwarfs, the confirmed member is always on the top of the M92 isochrone, while for DEs dwarfs, it tends to be between the M92 and PARSEC isochrone. I think we should look into this, and also get the confirmed members in SDSS dwarfs with SDSS photometry.
from ugali.
We already have very similar code here:
https://github.com/DarkEnergySurvey/ugali/blob/master/ugali/preprocess/padova.py
Also code for dotter isochrones here:
https://github.com/DarkEnergySurvey/ugali/blob/master/ugali/preprocess/dotter.py
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Related Issues (20)
- Loading config in mcmc HOT 10
- Absolute magnitude from generic isochrone color HOT 1
- Add background density to results
- User age/metallicity bounds not respected
- Fix string type check for py2/py3 HOT 2
- Update isochrone download scripts HOT 1
- Update ugali dwarf catalogs HOT 9
- Add catalog for diffuse structures
- Typo in DECam mesa isochrone IO HOT 1
- Fix IAU name generation HOT 1
- Output Galactic coordinates with uncertainties
- Change coordinate name to equatorial
- bug in plotMembership in ugali.utils.plotting
- Surface Brightness calculation in ugali.analysis.results.py should use azimuthally-averaged half-light radius HOT 4
- ugali.stats.peak_interval appears to be calculating the interval incorrectly HOT 3
- Add Martin surface brightness to results
- Rename master branch to main
- Move to GitHub actions
- Update Johnson-Cousin transformations HOT 1
- pip install options
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