This package creates artificial images of stellar fields including simulations of Point-Spread Functions, spatial stellar distributions and darkframe (noise). Knowledge of original stellar positions and noise statistical distribution is useful for tests of reverse algorithms such as Blind Image Deconvolution, especially in case of stellar globular clusters. Software is implemented in MATLAB code.
What’s new :
- 2016-01-27: Version 1.5 Uploaded
- 2016-01-11: New features – instrumental artifacts and realistic luminosity functions
- 2015-11-07: New GUI implemented
- 2015-09-23: Version 1.3 Uploaded – Added spatial distribution according to King’s law and help files
- 2015-06-05: Version 1.2 Uploaded
- 2015-06-01: Upgraded algorithm to modify signal with Poisson noise dependent on signal values
- 2015-02-14: Block diagram for visualization of algorithm
- 2015-01-25: Graphical User Interface in Matlab created for GlencoeSim
- 2014-12-15: Main algorithms implemented in Matlab
- 2014-11-03: Work on project started
Download latest version :
- GlencoeSim v1.5 – Linux web installer
- GlencoeSim v1.5 – .mlappinstall file as Matlab library/application
- Block diagram of algorithm
Snapshots
People
Martin Blazek – martin.blazek [at] fel.cvut.cz – PhD. student under supervision of Petr Pata
Acknowledgements
This work is supported by Grant no. GA14-25251S “Nonlinear imaging systems with spatially variant point spread function” of the Grant Agency of the Czech Republic and by the Grant Agency of the Czech Technical University in Prague, grant No. SGS13/212/OHK3/3T/13 “Advanced Algorithms for Processing and Analysis of Scienti c Image Data”. This project uses Matlab programming language by Mathworks.