CHANGELOG.md

All notable changes will be documented in this file

Unreleased

Changes currently on master, but not under a tag.

Additions

• Joint-likelihood added
• PyMC3 works with the GravitationalWaveTransient likelihood
• flake8 syntax checking in CI
• Binary neutron star source model
• Allow units to be included in parameter labels
• Add nested samples to dynesty output
• Add more repr methods
• Add ability to plot max likelihood and draws from the posterior
• Document samplers in more detail
• Added the CPNest sampler
• Adds custom titles to corner plots
• Adds plotting of the prior on 1D marginal distributions of corner plots
• Adds a method to plot time-domain GW data

Changes

• Fix construct_cbc_derived_parameters
• Autocorrelation calculation moved into parent class
• Fix interpretation of kwargs for dynesty
• PowerSpectralDensity structure modified
• Fixed bug in get_open_data
• Modified how sampling in non-standard parameters is done, the non_standard_sampling_parameter_keys kwarg has been removed

Removed

• Removes the "--detectors" command line argument (not a general CLI requirement)

[0.2.2] 2018-09-04

Added

• Add functionality to sample in redshift and reconstruction of source frame masses.
• Add functionality to combine result objects.
• Enable initial values for emcee to be specified.
• Add support for eccentric BBH

Changed

• Specifying detectors by name from the default command line options has been removed.
• The prior on polarisation phase has been reduced to [0, pi].
• More prior distributions added.
• More samplers supported, pymc3
• More core likelihoods, Poisson, Student's-t
• Result print function fixed
• Add snr functions as methods of Interferometer
• The paths between imports where changed so that calls such as tupak.WaveformGenerator no longer work. Instead, we need to use tupak.gw.WaveformGenerator. This was done to keep things cleaner going forward (when, for example, there may be multiple wfg's).
• Samplers reorganised into individual files.

[0.2.1] 2018-07-18

Added

• InterferometerStrainData now handles both time-domain and frequencu-domain data
• Adds documentation on setting data (https://monash.docs.ligo.org/tupak/transient-gw-data.html)
• Checkpointing for dynesty: the sampling will be checkpointed every 10 minutes (approximately) and can be resumed.
• Add functionality to plot multiple results in a corner plot, see tupak.core.result.plot_multiple().
• Likelihood evaluations are now saved along with the posteriors.

Changed

• Changed to using setuptools for installation.
• Clean up of real data handling: all data is now windowed with a 0.4s roll off (unless set otherwise) and low-pass filtered.
• Add explicit method to create a power spectral density from time-domain data
• Clean up of PowerSpectralDensity() - addds set_from methods to handle various ways to define the PSD.
• Clean up of detectors.py: adds an InterferometerStrainData to handle strain data and InterferometerSet to handle multiple interferometers. All data setting should primarily be done through the Interferometer.set_strain_data.. methods.
• Fix the comments and units of nfft and infft and general improvement to documentation of data.
• Fixed a bug in create_time_series
• Enable marginalisation over calibration uncertainty in Inteferemeter data.
• Fixed the normalisation of the marginalised GravtitationalWaveTransient likelihood.
• Fixed a bug in the detector response.

[0.2.0] 2018-06-17

First pip installable version https://pypi.org/project/TUPAK/ .

Added

• Reoriganisation of the directory into tupak.core and tupak.gw.
• Reading of frame files.
• Major effort to update all docstrings and add some documentation.
• Marginalized likelihoods.
• Examples of searches for gravitational waves from a Supernova and using a sine-Gaussian.
• A PriorSet to handle sets of priors and allows reading in from a standardised prior file (see https://monash.docs.ligo.org/tupak/prior.html).
• A standardised file for storing detector data.

Removed

• All chainconsumer dependency as this was causing issues.