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pyoof 0.2.1

pyoof is a Python pacakge which performs out-of-focus (OOF) holography on astronomical beam maps for single-dish radio telescopes.

Latest Version: 0.2.3

pyoof is a Python package that contains all needed tools to perform out-of-focus (OOF) holography on astronomical beam maps for single-dish radio telescopes. It is based on the original OOF holography papers,

and software developed by Bojan Nikolic.

The pyoof package calculates the aperture phase distribution map from a set of beam maps (telescope observations), at a relatively good signal-to-noise as described by B. Nikolic. By using a nonlinear least squares minimization, a convenient set of polynomials coefficients can be found to represent the aperture distribution. Once this is calculated the aberrations on the primary dish are known.

We are currently testing the pyoof package at the Effelsberg radio telescope :satellite:.

Project Status

pyoof is still in the early-development stage. While much of the functionality is already working as intended, the API is not yet stable. Nevertheless, we kindly invite you to use and test the library and we are grateful for feedback. Note, that work on the documentation is still ongoing.

Installation

The easiest and more convenient way to install the pyoof package is via pip

pip install pyoof

The installation is also possible from the source. Clone the GitHub repository and execute!

python setup.py install

From the source you can install developer versions, be aware of that. I believe in the future :smile:, so please install Python 3. Unfortunately, a windows version of the package is currently not available.

Dependencies

So far the pyoof package uses the common Python packages, it is recommended to install the anaconda distribution first, although using pip is also fine.

pyoof has the following strict requirements:

For future versions dependencies will be reduced.

Usage

To use the pyoof package is straight forward. First define your observational data in the established fits file format and then execute!

import pyoof
from pyoof import aperture, telgeometry

# Extracting observation data and important information
oofh_data = 'path/to/file.fits'  # fits file with special format
data_info, data_obs = pyoof.extract_data_pyoof(oofh_data)

# Effelsberg telescope definition
effelsberg = [
    telgeometry.block_effelsberg,  # Blockage distribution
    telgeometry.opd_effelsberg,    # OPD function
    50.,                           # Primary dish radius
    'effelsberg'                   # Telescope name
    ]

pyoof.fit_beam(
    data_info=data_info,                   # information
    data_obs=[beam_data, u_data, v_data],  # observed beam
    method='trf',                          # opt. algorithm 'trf', 'lm' or 'dogbox'
    order_max=5,                           # it will fit from 1 to order_max
    illum_func=aperture.illum_pedestal,    # or illum_gauss
    telescope=effelsberg,                  # telescope properties
    resolution=2 ** 8,                     # standard is 2 ** 8
    box_factor=5,                          # box_size = 5 * pr, pixel resolution
    )

For the impatient :hushed: , see the Jupyter notebook example, oof_holography.ipynb.

License

pyoof is licensed under a 3-clause BSD style license - see the LICENSE.rst file.

Contact

If you have any questions about the code or theory sections, do not hesitate and raise an issue. You can also send me an email directly:

  • tcassanelli _at_ gmail.com
 
File Type Py Version Uploaded on Size
pyoof-0.2.1.tar.gz (md5) Source 2017-12-07 1MB