GratingImage

class pygrating.pygrating.GratingImage(file_name, crop=True, verbose=True)

Class to visualise CCDLAB reduced UVIT Grating image and identifying sources

crop_to_circle(rmax=2000)

Crop to central circular region. UVIT pixel scale: 1 pixel = 0.41684142 arcsec –> 2000 pix ~ 13.9 arcmin

Parameters

rmax (int) – Radius of the usable region in pixels

Returns

• data (numpy.ndarray) – Cropped image data

• data_smooth (numpy.ndarray) – Cropped smooth image data

identify_sources(prominence=3.0, plot=True)

Detects sources by averaging across dispersion axis and identifies peaks based on prominance.

Parameters

prominence (float) – Multiplication factor for measuring the prominance for the peak detection. [prominence * standard_deviation]

Returns

ypix_list – y pixels of all detected sources.

Return type

list

plot(ax=None)

Plot the image. Option to show detected sources if available.