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HERA power spectrum estimation code and data formats
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Enable cross-pol power spectra *and* Python 3 support
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hera_pspec: HERA delay spectrum estimation

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The hera_pspec library provides all of the tools and data structures needed to perform a delay spectrum analysis on interferometric data. The input data can be in any format supported by pyuvdata, and the output data are stored in HDF5 containers.

For usage examples and documentation, see


Code Dependencies

For anaconda users, we suggest using conda to install astropy, numpy and scipy.

Installing hera_pspec

Clone the repo using git clone

Navigate into the directory and run python install.

Running hera_pspec

See the documentation for an overview and examples of how to run hera_pspec. There are also some example Jupyter notebooks, including examples/PS_estimation_examples.ipynb (a brief tutorial on how to create delay spectra), and examples/PSpecBeam_tutorial.ipynb (a brief tutorial on handling beam objects).

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