Note: SNCosmo uses Semantic Versioning for its version numbers. Specifically, this means that code written for sncosmo v1.0 will continue to work with any v1.x version. However, exact results may differ between versions in the 1.x series. (For example, due to changes in integration method.)
Dropped support for Python <3.7 (#361)
Add phase dependence option to PropagationEffect (#359)
Additions & Improvements:
Add retrained SALT2 models from the DES and Pantheon+ teams (#355)
Add TESS filter (#357)
Add P22 SALT3-NIR model (#350)
Updated SALT3 input calibration (#339)
Add Gaia filters (#351)
Improvements to code management
Add 2MASS filters (#338)
Add ATLAS filters (#336)
New zeropoint alias for improved SNANA compatibility (#318)
Add Roman filters (#218, #322)
Add the ability to a use SNANA co-add simlibs (#247)
Fix file paths for Windows users (#324)
Fix the builtins with poor spline options (#203, #328, #329)
Various improvements to code and repo management
This release mostly involves modernizing the SNCosmo build system.
Add Pan-STARRS1 bandpasses (#212)
Added support for wheels which should now be automatically uploaded to PyPI for any new release (#304).
Fixed the Zenodo integration. New SNCosmo releases should now automatically be archived to Zenodo.
Moved citations to the new CITATION.cff format. GitHub and Zenodo will now provide BibTeX entries that can be used to cite SNCosmo (#302).
Update to the emcee version 3 API. Now only compatible with emcee>=3.
Migrate from Travis CI to GitHub Actions for continuous integration/tests (#293).
Fixed the implementation of the SALT3 error model (#300).
Fixed numpy type deprecations.
Fixed the documentation for models (#299).
Add SALT3 model from Kenworthy et al. (2021)
Various documentation fixes
Add SUGAR model from Leget et al. (2020)
Add support for the iminuit 2.0 API (#291).
Update tox to work with any version of Python 3.
Fix flatten_result bug due to API change (#285).
Add Swift UVOT bandpasses.
Fix segfaults in bicubic interpolation.
Add core-collapse models from Vincenzi et al. (2019)
New Spectrum class to handle processing and fitting spectral observations.
Removed appveyor builds.
Prevent segfaults in light curve fitting when the minuit fit fails.
Add ZTF transmission functions
Corrected pyproject.toml; should help cases where the wrong numpy version was being installed.
Remove all references to the six package
Fix accidental mutation of
This version is the same as v1.8, with the exception that Python 2 support has been removed, and deprecated functions and attributes have been removed. These were deprecated in v1.5.0 (released April 2017) or before.
On Python 2, pip should automatically install sncosmo v1.8 still. If not,
salt2-h17source model has been renamed to
salt2-extended-h17to make clearer its relation to
salt2-extended. It is still available under the old name for backwards compatibility.
Fix bug in download location of
snana-*models latest versions, introduced in v1.8.0.
Fix bug in download location of
salt2-extendedmodel latest version, introduced in v1.8.0.
Add version 2.0 of many
snana-...built-in core-collapse models, based on Pierel et al. 2018 (pull request 229).
Fix compatibility with scipy 1.3+ by removing outdated import statements (pull request 238).
Fix issue affecting optimization of models with free propagation effects (pull request 236).
Add SNEMO2, SNEMO7, SNEMO15 source models from Saunders et al. (2018) to built-ins.
Add Hounsell et al. (2017) SALT2 model to built-ins.
Build system: remove build-time dependency on astropy helpers.
Correctly delete empty files created when a download fails.
Use pseudo-inverse when inverting covariance matrix for increased stability.
Fix an issue with pickling on Cython 0.26+.
Fixed problem where
data['fluxcov']was unintentionally being modified in-place when passed to
Fixed problem where
'fluxcov'not recognized as a valid name for covariance column in data in
This is a major new release. The highlight is really close compatibility of
the SALT2 model and fitting procedure with
snfit, the “official” SALT2
SALT2Source: Internal interpolation scheme of
SALT2Sourceupdated to match
snfitimplementation exactly. Test suite now tests against
Handling of model covariance updated to match that of
snfit: model covariance is fixed for each fit and fit is repeated until convergence.
wave_range. If given, data outside this range will be discarded after an initial fit and additional fits will be performed until convergence. With
wave_range=(3000., 7000.), behavior approximates that of snfit with default arguments.
Added support for covariance in photometric data measurements, and this covariance is used in
fit_lc()if present. Covariance is stored as a
'fluxcov'column in the table of measurements.
Result includes two new attributes:
data_mask, a boolean array indicating which rows in the input data were used in the final fit (since multiple fits might be performed), and
nfit, the number of fits performed.
warncan be set to False to turn off warnings about dropping bands outside model wavelength range.
Added support for reading snfit-format “covmat” files into a table of photometry:
>>> data = read_lc('filename', format='salt2', read_covmat=True) >>> data['Fluxcov'].shape == (len(data), len(data)) True
New keyword argument
expand_bands. When True, the returned band column will contain
Bandpassobjects instead of strings. (Strings converted to bandpass objects using
sncosmo.get_bandpass().) This is particularly useful for position-dependent bandpasses in the salt2 file format, such as
read_lc()reads the position from the header and feeds the position to
get_bandpass()to get a Bandpass object for the correct position.
Built-in bandpasses and magnitude systems: Many new built-in bandpasses and magnitude systems.
Configuration: The environment variable
SNCOSMO_DATA_DIRcan be used to set the path to the data directory. If set, it takes precedence over the
data_dirvariable in the configuration file (
get_ebv_from_mapdeprecated in favor of separate package sfdmap which has vastly improved performance (200x faster) for the typical case of scalar coordinates in ICRS frame.
animate_source()deprecated. This is a “fun extra” that is difficult to test and no longer seems to work.
Cython implementation of extinction functions has been factored out into a separate Python module called
extinction, which is now a dependency.
Source.bandflux()now integrate on a fixed wavelength grid of 5 angstroms regardless of the wavelength grid of the bandpass. This will result in small differences in results from previous sncosmo versions.
The internal (publicly undocumented)
Spectrumclass now acts more like
Model; in particular, its
bandflux()method now behaves the same way. As
SpectralMagSystem, this makes the integration of models and zeropoint spectra more consistent.
Experimental (non-public) support for aliases for bandpasses, such as
Sources now use cubic rather than quadratic spline interpolation internally.
Model.set_source_peakmag()added as convenience functions for
[Bugfix] Fixed missing import of
mcmc_lc()when using the
priorskeyword. [Backported to v1.3.1] [#143]
This is mostly a bugfix release, but it also drops support for Python 2.6. Python 2.7 is now the minimum supported Python version.
Updates for compatibility with AstroPy 1.2.
The registry now handles subclasses more robustly. For example, if
magsysis an instance of
SpectralMagSystem, the following used to fail:
sncosmo.register(magsys, 'name') sncosmo.get_magsystem('name')
Now this works. [#132]
SALT2Sourcehad a bug under Python 3 (only) yielding drastically wrong fluxes. Python 2 was not affected. [#138]
[API change] Registry functions moved to the top-level namespace, as follows:
sncosmo.registry.retrieve()-> deprecated, use class-specific functions such as
The old import paths will still work for backwards compatibility.
nest_lc()now uses the
nestlemodule under the hood. A new keyword
methodis available which selects different sampling methods implemented by
nestle. The new methods provide potential efficiency gains.
The MLCS2k2 model is now available as a built-in Source, with the name
Bandpasses from the Carnegie Supernova Project added to built-ins.
realize_lcs(), a new
scatterkeyword makes adding noise optional.
[Bugfix] Fix built-in Bessell bandpass definitions, which were wrong by a term proportional to inverse wavelength. This was due to misinterpretation of the trasmission units. [backported to v1.1.1] [#111]
This is a mostly bugfix release with more solid support for Python 3.
loglmaxfrom result of
nest_lc(), which was not officially documented or supported. Use
Fixed bug that caused non-reproducible behavior in
numpy.random.seed()was called directly beforehand. [#102]
Fixed problem where built-in source name and version strings were being dropped. [#82]
Minor doc fixes.
- [API change] The API of
mcmc_lchas changed significantly
(the function was marked experimental in previous release).
- [API change] The API of
[Deprecation] In result of
[Deprecation] In result of
res.vparam_names. This is for compatibility between the results of
flattenkeyword argument in
fit_lc()in favor of explicit use of
Many new built-in models.
Many new built-in bandpasses.
New remote data fetching system.
SALT2 model covariance available via
modelcov=Truekeyword argument passed to
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
tighten_ylimkeyword argument to
chisq()function and use internally in
SFD98Mapclass for dealing with SFD (1998) dust maps persistently so that the underlying FITS files are opened only once.
get_ebv_from_map()to work with new SkyCoord class in
astropy.coordinatesavailable 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.
This is 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
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
PropagationEffect define the rest-frame behavior
of a SN and dust, and a
Model puts these together to determine the
sncosmo.Model: new main container class
sncosmo.Source: replaces existing
sncosmo.TimeSeriesSource: replaces existing
sncosmo.StretchSource: replaces existing
sncosmo.SALT2Source: replaces existing
New public functions:
sncosmo.read_griddata_ascii: Read file with
phase wave fluxrows
sncosmo.nest_lc: Nested sampling parameter estimation of SN model
sncosmo.simulate_vol(EXPERIMENTAL): simulation convenience function.
updated SALT2 model URLs
added SALT2 version 2.4 (Betoule et al 2014)
sncosmo.plot_lc: flexibility and layout
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.
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.
registry is now case-independent. All of the following now work:
sncosmo.get_magsystem('AB') sncosmo.get_magsystem('Ab') sncsomo.get_magsystem('ab')
Photometric data can be unordered in time. Internally, the data are sorted before being used in fitting and typing.
Added SN 2011fe Nearby Supernova Factory data to built-in models as
Previously “experimental” functions now included:
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_lcnow 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
Plotting: Ability to plot model synthetic photometry without observed data, using the syntax:
>>> sncosmo.plot_lc(model=model, bands=['band1', 'band2'])
Photometric data format: Photometric data format is now more flexible, allowing various names for table columns.