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1.2.0 (unreleased)

1.1.0 (2015-08-12)

API changes

  • Remove loglmax from result of nest_lc(), which was not officially documented or supported. Use np.max(res.logl) instead.

Enhancements

  • Add Model.color() method. [#88]

Bugfixes

  • Fixed bug that caused non-reproducible behavior in nest_lc() even when np.random.seed() was called directly beforehand. [#102]
  • Fixed file I/O problems on Python 3 related to string encoding. [#83, #85, #102]
  • Fixed problem with SDSS bandpasses being stored as integers internally, preventing them from being used with models with dust. [#100, #101]
  • Fix problem where built-in source name and version strings were being dropped. [#82]
  • Minor doc fixes.

1.0.0 (2015-02-23)

API changes:

  • The API of mcmc_lc has changed significantly (the function was marked experimental in previous release).
  • [DEPRECATION] In result of fit_lc, res.cov_names changed to res.vparam_names.
  • [DEPRECATION] In result of nest_lc, res.param_names changed to res.vparam_names. This is for compatibility between the results of fit_lc and nest_lc. [#30]
  • [DEPRECATION] Deprecate flatten keyword argument in fit_lc() in favor of explicit use of flatten_result() function.

Enhancements:

  • Many new built-in models.
  • Many new built-in bandpasses.
  • New remote data fetching system. [#73]
  • SALT2 model covariance available via Model.bandfluxcov() method and modelcov=True keyword argument passed to fit_lc.
  • New simulation function, zdist, generates a distribution of redshifts given a volumetric rate function and cosmology.
  • New simulation function, realize_lcs, simulates light curve data given a model, parameters, and observations.
  • Add color-related keyword arguments to plot_lc().
  • Add tighten_ylim keyword argument to plot_lc().
  • Add chisq() function and use internally in fit_lc().
  • Add SFD98Map class for dealing with SFD (1998) dust maps persistently so that the underlying FITS files are opened only once.
  • Update get_ebv_from_map() to work with new SkyCoord class in astropy.coordinates available in astropy v0.3 onward. Previously, this function did not work with astropy v0.4.x (where older coordinates classes had been removed).
  • Update to new configuration system available in astropy v0.4 onward. This makes this release incompatible with astropy versions less than 0.4.
  • Now compatible with Python 3.
  • Increased test coverage.
  • Numerous minor bugfixes.

0.4.2 (2014-04-08)

This is a minor bugfix release.

  • Update CALSPEC FTP base URL to the "permanent" one rather than "current". This should provide a stable URL, so that spectra downloads do not fail (even if they will not necessarily be the most current).
  • Bump Vega and BD+17 spectra versions to latest CALSPEC.
  • Fix an issue with astropy.utils.data.download_file() that was preventing the astropy.utils.data.REMOTE_DATA configuration item from having an effect.

0.4.1 (2014-04-03)

This is a minor bugfix release.

  • Fix bug that caused fit_lc() and plot_lc() to fail on numpy 1.8.
  • Correct behavior of Model.minwave() and Model.maxwave() to include propagation effects.
  • Fix setup issue that caused cython to run even when C files already present.

0.4.0 (2014-03-26)

This is a non-backwards-compatible release, due to changes in the way models are defined. These changes were made after feedback on the initial design.

The most major change is a new central class Model used throughout the pacakge. A Model instance encompasses a Source and zero or more PropagationEffect instances. This is so that different source models (e.g., SALT2 or spectral time series models) can be combined with arbitrary dust models. The best way to think about this is Source and PropagationEffect define the rest-frame behavior of a SN and dust, and a Model puts these together to determine the observer-frame behavior.

  • New classes

    • sncosmo.Model: new main container class
    • sncosmo.Source: replaces existing Model
    • sncosmo.TimeSeriesSource: replaces existing TimeSeriesModel
    • sncosmo.StretchSource: replaces existing StretchModel
    • sncosmo.SALT2Source: replaces existing SALT2Model
    • sncosmo.PropagationEffect
    • sncosmo.CCM89Dust
    • sncosmo.OD94Dust
    • sncosmo.F99Dust

  • New public functions

    • sncosmo.read_griddata_ascii: Read file with phase wave flux rows
    • sncosmo.read_griddata_fits
    • sncosmo.write_griddata_fits
    • sncosmo.nest_lc: Nested sampling parameter estimation of SN model
    • sncosmo.simulate_vol (EXPERIMENTAL): simulation convenience function.

  • Built-ins

    • updated SALT2 model URLs
    • added SALT2 version 2.4 (Betoule et al 2014)

  • Improvements to sncosmo.plot_lc: flexibility and layout

  • Many bugfixes

0.3.0 (2013-11-07)

This is a release with mostly bugfixes but a few new features, designed to be backwards compatible with v0.2.0 ahead of API changes coming in the next version.

  • New functions:

    • sncosmo.get_ebv_from_map: E(B-V) at given coordinates from SFD map.
    • sncosmo.read_snana_ascii: Read SNANA ascii format files.
    • sncosmo.read_snana_fits: Read SNANA FITS format files.
    • sncosmo.read_snana_simlib: Read SNANA ascii "SIMLIB" files.

0.2 (2013-08-20)

  • New built-ins

    • Added SN 2011fe Nearby Supernova Factory data to built-in models as '2011fe'

  • Renamed functions (some with enhancements), previously "experimental":

    • sncosmo.fit_lc (previously sncosmo.fit_model)
    • sncosmo.read_lc (previously sncosmo.readlc)
    • sncosmo.write_lc (previously sncosmo.writelc)
    • sncosmo.plot_lc (previously sncosmo.plotlc)

  • New functions:

    • sncosmo.load_example_data: Example photometric data.
    • sncosmo.mcmc_lc: Markov Chain Monte Carlo parameter estimation.
    • sncosmo.animate_model: Model animation using matplotlib.animation.

  • sncosmo.fit_lc: Now uses the iminuit package for minimization by default. This requires the iminuit package to be installed, but the old minimizer (from scipy) can still be used by setting the keyword method='l-bfgs-b'.

  • sncosmo.plot_lc: Ability to plot model synthetic photometry without observed data, using the syntax::

    >>> sncosmo.plot_lc(model=model, bands=['band1', 'band2'])

  • Photometric data format is now more flexible, allowing various names for table columns.

0.1 (2013-07-15)

  • Initial release.