micropolarray 1.0.1

micropolarizer array data utilities

micropolarray

Python module for loading and using micropolarizer array and polarcam images.

Installation

Run the following command inside a terminal. If an error message about wheels appear, launch it again.

pip install git+https://github.com/Hevil33/micropolarray_master

You can run the test.py script to verify the correct installation of the micopolarray package.

Usage

import micropolarray
import numpy as np


# Can initialize images from np arrays or fitsfilenames.
# If multiple filenames are used then the average is taken 


micropolimage_from_file = micropolarray.MicroPolarizerArrayImage("test_data/image.fits.fits")

micropolimage_from_nparray = micropolarray.MicroPolarizerArrayImage(np.ones(shape=(30,30)))

image = micropolarray.MicroPolarizerArrayImage(image)

Multiple useful members can be used to get polarization parameters

angle_of_linear_polarization = image.AoLP.data  # Get the angle of linear polarization

Stokes_I, Stokes_Q, Stokes_U = self.Stokes_vec  # Get the stokes vector components as np.ndarray

pol_0_image = image.single_pol_subimages[image.angle_dic[0]]

demosaiced_image = image.demosaic() 

binned_image = image.rebin(binning=4)  # binned 4x4 image

If demodulation matrices are available, it is easy to get demodulated images

demodulator = ml.Demodulator(demodulation_tensor_path)

demo_image = image.demodulate(demodulator) # This image is now demodulated