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The large side aperture of the NuSTAR telescope for unfocused photons(so-called stray light) is a known source of rich astrophysical information. Tosupport many studies based on the NuSTAR stray light data, we present a fullyautomatic method for determining detector area suitable for background analysisand free from any kind of focused X-ray flux. The method's main idea is `atrous' wavelet image decomposition, capable of detecting structures of anyspatial scale and shape, which makes the method of general use. Applied to theNuSTAR data, the method provides a detector image region with the highestpossible statistical quality, suitable for the NuSTAR stray light studies. Wedeveloped an open-source Python nuwavdet package, which implements thepresented method. The package contains subroutines to generate detector imageregion for further stray light analysis and/or to produce a list of detectorbad-flagged pixels for processing in the NuSTAR Data Analysis Software forconventional X-ray analysis.

Wavelet-based image decomposition method for NuSTAR stray light background studies