PolarOnionPeeling

Apply polar onion peeling method for analyzing velocity map imaging (VMI) data.

https://github.com/adinatan/PolarOnionPeeling

Versione 1.7.0.1 (17,4 MB)
1,1K download
(3)
25 ott 2021

Al momento, stai seguendo questo contributo

The code implements the method shown at "Toward real-time charged-particle image reconstruction using polar onion-peeling" by G.M. Roberts et-al, Rev. Sci. Instr. 80, 053104 (2009). It supports images of up to 4K and accepts arbitrary (even) beta parameters. Specific quadrants of the image can be selected in the analysis in case of image asymmetries. NaN values can be used for masking unwanted pixels or areas.
For more info regarding the method see: https://doi.org/10.1063/1.3126527

Cita come

Adi Natan (2026). PolarOnionPeeling (https://github.com/adinatan/PolarOnionPeeling), GitHub. Recuperato .

Riconoscimenti

Ispirato: cart2tripolar

Categorie

Scopri di più su Particle & Nuclear Physics in Help Center e MATLAB Answers

Informazioni generali

Compatibilità della release di MATLAB

  • Compatibile con qualsiasi release

Compatibilità della piattaforma

  • Windows
  • macOS
  • Linux
Apri in una nuova scheda

Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione Pubblicato Note della release
1.7.0.1

Added documentation regarding the tripol function
1.7.0.0

supports negative values (difference images)
1.6.0.0

......
Support in NaN values for masking the raw images was added, the code is restructured for better readability and a sample script to demonstrate how it works was added.
corrected link in the file description and included PESR - the radial projection of the raw data in the output
1.5.0.0

The code supports images of up to 4K. bld_lut.m was added for radial basis set generation of arbitrary size. Code improvements include applying better matrix inversion method, avoiding divergences at the origin artifacts and other minor improvements.
1.4.0.0

Faster code, some minor debugging for the case of all zeros data, improved support in higher Legendre polynomials up to the floating point accuracy limit.
1.3.0.0

added Matlab version control to use the proper interpolator name.
1.2.0.0

Added support in specific image quadrants analysis in case of image asymmetries. Improved documentation and warnings\errors handling.
1.1.0.0

The code now supports higher order Legendre polynomials, this was done with the help of Adam Chatterley.
1.0.0.0

Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.
Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.