prose 3.0.2

Modular image processing pipelines for Astronomy

prose

Modular image processing pipelines for Astronomy

prose is a Python package to build image processing pipelines for Astronomy. Beyond featuring the blocks to build pipelines from scratch, it provides pre-implemented ones to perform common tasks such as automated calibration, reduction and photometry.

powered by astropy and photutils!

Example

Here is a quick example pipeline to characterize the point-spread-function (PSF) of an example image

import matplotlib.pyplot as plt
from prose import Sequence, blocks
from prose.simulations import example_image

# getting the example image
image = example_image()

sequence = Sequence(
    [
        blocks.PointSourceDetection(),  # stars detection
        blocks.Cutouts(shape=21),  # cutouts extraction
        blocks.MedianEPSF(),  # PSF building
        blocks.Moffat2D(),  # PSF modeling
    ]
)

sequence.run(image)

# plotting
image.show()  # detected stars

# effective PSF parameters
image.epsf.params

While being run on a single image, a Sequence is designed to be run on list of images (paths) and provides the architecture to build powerful pipelines. For more details check Quickstart and What is a pipeline?

Installation

latest

prose is written for python 3 and can be installed from pypi with:

pip install prose

For the latest version

pip install 'prose @ git+https://github.com/lgrcia/prose'

Contributions

See our contributions guidelines