py21cmwedge allows for quick computation of the footprint of a radio array in the (u,v) plane. This is especially useful to determine the amount of foreground leakage in image based power spectrum analysis due to "Multi-Baseline Mode Mixing."
This package's outputs can compars directly to FHD (Fast Holographic Deconvolution) and Eppsilon (error propagated power spectrum with interleaved observed noise)
The comparison between outputs made by this package and FHD, and FHD+Eppsilon are contained in the IPython notebooks in the notebooks subfolder and viewable directly on GitHub.
A list of the notebooks and what information they include:
-
DFT_Kernel_Effects
An analysis of the kernel of a Healpix Pixel when perfoming a DFT from the sky to the (u,v) plane.
-
Beam_Gridding
A comparison of how this package and FHD grid the Beam, a single baseline and two baselines onto the UV plane.
-
Rotation_Synthesis
A demonstration of how rotation synthesis is handled at the [u,v,w] level with this package
-
UVF_Uniform_Comparion
A comparison of how this pacakge and FHD+Eppsilon grid entire arrays in uniform weighting
For anaconda users, prerequisites can be installed using conda to install astropy, numpy and scipy and conda-forge
for healpy (conda install -c conda-forge healpy).
This package requires the following packages :
- numpy > 1.10
- scipy
- astropy > 1.2
- healpy
- nose
After cloning this repository, installation can be accomplished by executing one of the following inside the py21cmwedge directory
pip install . or python setup.py install