Simulator for astronomical stellar crowded fields – GlencoeSim

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 :

Snapshots

Comparison of real and simulated image

 People

Martin Blazekmartin.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.