Changelog

v0.5.7 [24 Oct 2018]

Enhancements

  • Added ability to use weights on k-modes in get_power.

Bugfixes

  • Fixed bug on using ignore_zero_mode introduced in v0.5.6
  • Added tests for ignore_zero_mode and k_weights

v0.5.6 [23 Oct 2018]

Enhancements

  • Added ignore_zero_mode parameter to get_power.

Bugfixes

  • Removed redundant seed parameter from create_discrete_sample().

v0.5.5 [19 July 2018]

Bugfixes

  • log_bins wasn’t being passed through to angular_average correctly.

Enhancements

  • angular_average() no longer requires coords to be passed as box of magnitudes.
  • improved docs.
  • fixed source divide by zero warning in PowerBox()

v0.5.4 [30 May 2018]

Enhancements

  • Added ability to do angular averaging in log-space bins
  • When not all radial bins have co-ordinates in them, a more reasonable warning message is emitted.
  • Removed redundant bincount call when only summing, not averaging (angularly).

Bugfixes

  • Now properly deals with co-ordinates outside the bin range in angular_average (will only make a difference when bins is passed as a vector). Note that this has meant that by default the highest-valued co-ordinate in the box will not contribute to any bins any more.
  • Fixed a bunch of tests in test_power which were using the wrong power index!

Internals

  • Re-factored getting radial bins into _getbins() function.

v0.5.3 [22 May 2018]

Bugfixes

  • Fixed a bug introduced in v0.5.1 where using bin_ave=False in angular_average_nd would fail.

v0.5.2 [17 May 2018]

Enhancements

  • Added ability to calculate the variance of an angularly averaged quantity.
  • Removed a redundant calculation of the bin weights in angular_average

Internals

  • Updated version numbers of dev requirements.

v0.5.1 [4 May 2018]

Enhancements

  • Added ability to not have dimensionless power spectra from get_power.
  • Also return linearly-spaced radial bin edges from angular_average_nd
  • Python 3 compatibility

Bugfixes

  • Fixed bug where field was modified in-place unexpectedly in angular_average
  • Now correctly flattens weights before getting the field average in angular_average_nd

v0.5.0 [7 Nov 2017] ——————~ Features

  • Input boxes to get_power no longer need to have same length on every dimension.
  • New angular_average_nd function to average over first n dimensions of an array.

Enhancements

  • Huge (5x or so) speed-up for angular_average function (with resulting speedup for get_power).
  • Huge memory reduction in fft/ifft routines, with potential loss of some speed (TODO: optimise)
  • Better memory consumption in PowerBox classes, at the expense of an API change (cached properties no longer cached, or properties).
  • Modified fftshift in dft to handle astropy Quantity objects (bit of a hack really)

Bugfixes

  • Fixed issue where if the boxlength was passed as an integer (to fft/ifft), then incorrect results occurred.
  • Fixed issue where incorrect first_edge assignment in get_power resulted in bad power spectrum. No longer require this arg.

v0.4.3 [29 March 2017]

Bugfixes

  • Fixed volume normalisation in get_power.

v0.4.2 [28 March 2017]

Features

  • Added ability to cross-correlate boxes in get_power.

v0.4.1

Bugfixes

  • Fixed cubegrid return value for dft functions when input boxes have different sizes on each dimension.

v0.4.0

Features

  • Added fft/ifft wrappers which consistently return fourier transforms with arbitrary Fourier conventions.
  • Boxes now may be composed with arbitrary Fourier conventions.
  • Documentation!

Enhancements

  • New test to compare LogNormalPowerBox with standard PowerBox.
  • New project structure to make for easier location of functions.
  • Code quality improvements
  • New tests, better coverage.

Bugfixes

  • Fixed incorrect boxsize for an odd number of cells
  • Ensure mean density is correct in LogNormalPowerBox

v0.3.2

Bugfixes

  • Fixed bug in pyFFTW cache setting

v0.3.1

Enhancements

  • New interface with pyFFTW to make fourier transforms ~twice as fast. No difference to the API.

v0.3.0

Features

  • New functionality in get_power function to measure power-spectra of discrete samples.

Enhancements

  • Added option to not store discrete positions in class (just return them)
  • get_power now more streamlined and intuitive in its API

v0.2.3 [11 Jan 2017]

Enhancements

  • Improved estimation of power (in get_power) for lowest k bin.

v0.2.2 [11 Jan 2017]

Bugfixes

  • Fixed a bug in which the output power spectrum was a factor of sqrt(2) off in normalisation

v0.2.1 [10 Jan 2017]

Bugfixes

  • Fixed output of create_discrete_sample when not randomising positions.

Enhancements

  • New option to set bounds of discrete particles to (0, boxlength) rather than centring at 0.

v0.2.0 [10 Jan 2017]

Features

  • New LogNormalPowerBox class for creating log-normal fields

Enhancements

  • Restructuring of code for more flexibility after creation. Now requires cached_property package.

v0.1.0 [27 Oct 2016]

First working version. Only Gaussian fields working.