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Releases: austin-hoover/ment

v1.1.5

02 May 16:47
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Small changes to examples.

Full Changelog: v1.1.4...v1.1.5

v1.1.4

25 Apr 23:47
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  • Add 6D reconstruction example from paper "N-dimensional maximum-entropy tomography via particle sampling".
  • Add traditional 2D CT example with comparisons to FBP and SART on high-resolution images.
  • Automatically normalize projections passed to MENT.
  • Fix histogram fractional threshold.
  • Enforce learning rate between 0 and 1 in Gauss-Seidel updates
  • Create new integration method in which the density is evaluated on the entire N-dimensional grid and summed over the integration axes. This is a faster method that can work well in 2D/3D. The method can be turned on by setting integration_loop=False in ment.MENT class.

Full Changelog: v1.1.3...v1.1.4

v1.1.3

07 Mar 21:51
9564ca1
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What's Changed

  • Example 4D nonlinear ring example in #8
  • Add 4D SNS example in #9
  • Improved covariance matrix fitter
  • Improved Metropolis Hastings sampler debugger

Full Changelog: v1.1.2...v1.1.3

v1.1.2

28 Feb 00:40
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  • Improve covariance matrix fitting routines in #5

v1.1.1

26 Feb 00:57
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Fix bug when initializing MENT with no arguments.

v1.1.0

25 Feb 20:14
6a598cb
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  • Added new prior UniformSphericalPrior and added truncate option to Gaussian prior.
  • Cleaned up MCMC sampler, added noise option, added documentation
  • Added sample, and cov methods to HistogramND class.
  • Added sample, and std methods to HistogramND class.
  • Added CovFitter class to fit ND covariance matrices to measurements using evolutionary optimization.
  • Added longitudinal phase space tomography example using PyORBIT.
  • Fixed a few bugs.

Full Changelog: v1.0.2...v1.1.0

v1.0.2

05 Feb 04:06
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