v0.3.0

CherenkovDeconvolution v0.3.0

Diff since v0.2.2

New modular API and extensive documentation.

v0.2.2

CherenkovDeconvolution v0.2.2

Diff since v0.2.1

Least-squares step size uses minimum-norm regularization instead of RUN's Tikhonov matrix.

v0.2.1

CherenkovDeconvolution v0.2.1

Diff since v0.2.0

• IBU can use step sizes
• A new adaptive step size based on a least-squares objective is added
• Adaptive step sizes can be forced to decay

v0.2.0

CherenkovDeconvolution v0.2.0

Diff since v0.1.0

Fix dependencies and enable pre-compilation

Registered at Julia's General Repository

This first registered version contains our enhanced version of the Dortmund Spectrum Estimation Algorithm (DSEA+), the Regularized Unfolding (RUN) method, and the Iterative Bayesian Unfolding (IBU).

This version requires Julia-0.7 or above.

DSAA Experiments on Deconvolution

This release reflects the status of our experiments on deconvolution, as published in the DSAA conference proceedings:

@inproceedings{bunse2018unification,
  author = {Bunse, Mirko and Piatkowski, Nico and Ruhe, Tim and Rhode, Wolfgang and Morik, Katharina},
  title = {Unification of Deconvolution Algorithms for Cherenkov Astronomy},
  booktitle = {5th IEEE International Conference on Data Science and Advanced Analytics (DSAA)},
  year = {2018},
  note = {To appear}
}

Note that this status depends on Julia-v0.6.