Recent Releases of vespa

vespa - TESS compatibility

This version of vespa is what has been used to analyze TESS candidates, together with isochrones v1.2.2.

Changes: * fpp.ini now includes "band" and "cadence" arguments; if not provided, they will default to Kepler values.
* fixed some bugs in KDE generation * Changed default isochrone set to "MIST" (from "dartmouth") * Improved TRILEGAL web call to use python instead of old perl script

- Jupyter Notebook
Published by timothydmorton almost 7 years ago

vespa - Tests upgrade, minor bugfixes

This release updates (some of) the unit tests to use the unittest.TestCase framework, as well as the following minor bugfixes:

  • Force constraint masks to be ndarrays, to enable bootstrapping uncertainty calculation with calcfpp to work.
  • Fix a bug with lazy loading of the StarModel object in vespa Population objects
  • Add docstrings for calcfpp script arguments
  • Fix a bug to allow PopulationSet.load to work.

- Jupyter Notebook
Published by timothydmorton over 7 years ago

vespa - v0.5: Isochrones 1.0+ compatibility

This release finally allows vespa to be compatible with the latest versions of isochrones. This required many changes, but most of it is under the hood. There have also been a number of other bug fixes and general tidying up. The most significant usage change is that the calcfpp script now no longer runs the stellar model fits; it is now expected that you first execute starfit --all <candidate_directory> and then calcfpp <candidate_directory>.

Changes/improvements/bugfixes:

  • Unit tests are updated and working again.
  • Default stellar models are now MIST.
  • ColormatchMultipleStarPopulation and SpectroscopicStarPopulation are now completely removed; they were outdated and have already been functionally replaced by Observed_BinaryPopulation and Observed_TriplePopulation.
  • The get_ichrone convenience function now allows easier instantiation of the desired set of stellar models by passing a string, which allows for better lazy initialization of many objects, and removes the need to initialize Isochrone objects upon import.
  • HDF file handling is improved, to avoid unintentionally leaving files open after pandas reads.
  • Now uses emee.autocorr rather than acor to test convergence of trapezoidal model fit.
  • Adds TransitSignal.from_ascii function to allow a TransitSignal to be loaded straight from a text file.
  • Reads sample columns from StarModel appropriately for isochrones > 1.0 (e.g., Teff_0_0, etc.)
  • TransitSignal.from_ini is cleaned up and slimmed down. This function no longer executes the stellar model fitting; it just assumes they have been done and reads them in (and complains if they are not).
  • The kepler module is now compatible with the DR25 data release. Included in these updates are corrections to the TTV corrections and stellar parameter provenance when setting the priors for star fits.

Known issues

  • Documentation is not yet fully updated.
  • There is still no sanity-checking of isochrones stellar model fits built in; always check the quality of the model fits (e.g., by eyeballing mist_corner_single_observed.png) to avoid being misled by the model fits and ending up with a wrongly validated planet.

- Jupyter Notebook
Published by timothydmorton almost 8 years ago

vespa - Requiring isochrones==0.9.1

The only patch in this version update is requiring version 0.9.1 of isochrones, has been upgraded to 1.0 with a slightly different API for StarModel objects that makes it at present incompatible with vespa.

- Jupyter Notebook
Published by timothydmorton over 9 years ago

vespa - Bug fixes, updated unit tests

Minor bug fixes, including fixing a bug when trying to include only a single contrast curve file in fpp.ini when running calcfpp. Updated unit tests. Also basic Python 3 compatibility (though not tested).

- Jupyter Notebook
Published by timothydmorton over 9 years ago

vespa - Bug fix

Fixed a small bug regarding including the photfile config variable in the fpp.ini file. Now photfile can be an absolute path, and also now it doesn't break.

- Jupyter Notebook
Published by timothydmorton almost 11 years ago

vespa - First public release

This is the first public release of this package, accompanying this K2 Campaign 1 planet characterization paper. Public testing/comments/criticisms welcome; this package is far from perfected, but the goal is for it to be a useful tool for the community for Kepler/K2/TESS/etc.

- Jupyter Notebook
Published by timothydmorton about 11 years ago