Releases: hpparvi/ldtk
Releases · hpparvi/ldtk
v1.8.4
v1.7.0
- Improved the way the stellar limb is defined. LDTk now fits an LD model together with a smoothstep function to find the edge of the star. This approach should remove the need for manual edge definition completely.
- LDTk now resamples the original models to a linear sampling in mu since this makes LD coefficient estimation more straightforward.
v1.6.3
v1.6
Added ldtk.SVOFilter
filter class that creates a filter using the Spanish Virtual Observatory (SVO) Filter Profile Service (FPS). The FPS contains over 10000 named filters, and creating a filter based on the FPS data is now as simple as giving the SVOFilter
the SVO filter name.
v1.4.0
v1.3.1
v1.0
Final cleanup and bugfixes
- Fixed a Python 3 compatibility issue in saving and loading LDPSets
- Added a set of basic transmission curves (sloan g, r, i, and z passbands approximated with Boxcar filters, and Kepler response function) that can be imported from
ldtk.filters
- Upgraded the basic example notebook
- Changed to use setuptools in
setup.py
v1.0-beta.5
- Python 3 compatibility fixes.
v1.0-beta.3
Bugfixes and a square root limb darkening model provided by Rainer Wichmann.
- Bugfix: The TEFF grid for TEFF > 7000 K was faulty, now fixed.
- Bugfix: The second term in the nonlinear limb darkening model had a wrong coefficient.
- Feature: Square root limb darkening model.
v1.0-beta.2
Python 2 & 3 compatibility.