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[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

[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.