Code and Coding

Analysis Code

Below are available versions of XPCS code in MatLab. Run XPCS_MainGUI.m to start the program. Please, contact Sebastian if you have suggestions or problems.

November 06, 2010 File:XPCS beta2.4.zip

• Added ability to remove image during mask editing to see the mask only
• Fixed error while hiding the mask
• Added image maping including: linear, square root, logarithmic, and tone mapping. Replaced XPCS_LogCheck function with new XPCS_mapScale function
• Added image coloring including: Gray, Spectrum, Rainbow, Heat, and Cool
• Added interactive tools: arrow, zoom, pan, data coursor, reset view
• Remembers which file was loaded last or if the entire file list has been loaded, so that Analysis and movies do not have to reaload the same images
• Edit XPCS_maskOpenFile function to take advantage of checking last file opened and also added capability to call function with specific file without calling dialog box
• Changed how images are displayed by adding an extra scaled image, which can be reused to display, instead of repeatedly calculating the image map
• Modified how the mask.thedata variable read in works; can now store many images, instead if reloading a specific frame
• Modified Main file list to store number of frames per file
• Created a new movieGUI, to control playing several frames of several files.
• Added pause time option and autoscale option in movie control
• Added movie export capability
• Modified XPCS_openFolder to load only .hdf and .fits files from the specified folder

October 25, 2010 File:XPCS beta2.2.zip

• Redefined how XPCS_fileReader and XPCS_convImgSize functions are called to expand their applicability
• Simplified Code using the previous functions
• Changed how XPCS_movie function works, allowing reading of multiple, multi-image .fits files

October 21, 2010 File:XPCS beta2.1.zip

• Basic tool to load .hdf and .fits files and analyze within a desired region.
• Import/export masks
• Draw masks with rectangles, circles, polygons, or freehand
• Define masked based on certain threshold value
• Play movie of data
• Define the setup using; automatically calculates q-scale across CCD
• Backround subtraction via automatically scaled images or defined values
• Define independed data sets for analysis
• Average over defined images
• Autocorrelation and normalized difference method both compared to first or previous image

Coding Tips and Tricks

Out of Memory problems in Matlab 32-bit version