The main purpose of this repository si to give the essential tools to perform a power spectrm analysis.
Here is a non-hexaustive description of some functions:
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The function powspec() calculates the classical Fourier Power Spectrum of an image where the Fourier coefficients are averaged over the azimuthal angles as a function of the wavenumber.
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The function gauss_beam() allows one to model the transfer function of a telescope by a Gaussian function.
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Functions subfits(), congrid() (in rebin.py) and imsmooth() allow respectively to cut a fits file, rebin a map and smooth a map.
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Finally, the function fbm2d() in noisegen.py allows one to create a fractional Brownian motion map, i.e. a fractal image, respecting a specific power law.
Many of these functions are strongly inspired by the mamdlib IDL library.
Clone this repository
git clone https://github.com/jfrob27/ismpy.git
and add the folder path to your PYTHONPATH.
This short library can be completed with functions in the repository pywavan
git clone https://github.com/jfrob27/pywavan.git