propstark_core

Collection of analysis and display helpers for the ProPStarK program.

Installation

Installation using pip:

pip install propstark_core

From the repository root:

Install the package from a clone with:

python -m pip install .

Pointing plots

plot_pointings plots VLA pointing footprints over a FITS integrated-intensity map. Load the catalogue boxes and pass explicit paths to the map and catalogue:

import astropy.units as u
import yaml

from propstark_core import plot_pointings

with open("data/catalogue_boxes.yml", encoding="utf-8") as catalogue_file:
    catalogue = yaml.safe_load(catalogue_file)

axes, pointings = plot_pointings(
    "data/B1_NH3_11_all_rebase3_mom0_QA_trim.fits",
    catalogue,
    "Barnard1",
    distance=301 * u.pc,
)

The complete worked example remains in pointings/image_overlay.ipynb, ready to be included in future Read the Docs documentation.

The scheduling-block list is included in installed distributions and can be read with propstark_core.load_observations_csv().

Credits

Developed by Jaime E Pineda (@jpinedaf) and Brian Svoboda (@autocorr).

Dependencies

• astropy (>=5.0)
• scipy (>=1.7)
• numpy (>=1.21)
• pyyaml
• matplotlib (>=3.4)
• radio-beam (>=0.3)
• mosaic_proposal_helper (>=0.5)
• scikit-image (>=0.9)