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 http://hera-pspec.readthedocs.io/en/latest/.
Preferred method of installation for users is simply pip install .
(or pip install git+https://github.com/HERA-Team/hera_pspec). This will install
required dependencies. See below for manual dependency management.
If you are using conda, you may wish to install the following dependencies manually
to avoid them being installed automatically by pip::
$ conda install -c conda-forge "numpy>=1.15" "astropy>=2.0" h5py pyuvdata scipy matplotlib pyyaml
If you are developing hera_pspec, it is preferred that you do so in a fresh conda
environment. The following commands will install all relevant development packages::
$ git clone https://github.com/HERA-Team/hera_pspec.git
$ cd hera_pspec
$ conda create -n hera_pspec python=3
$ conda activate hera_pspec
$ conda env update -n hera_pspec -f ci/hera_pspec_tests.yml
$ pip install -e .
This will install extra dependencies required for testing/development as well as the standard ones.
Uses the pytest package to execute test suite.
From the source hera_pspec directory run: pytest.
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).