Skip to main content

Astropop's Github CI Status Astropop's Codecov Coverage Status Astropop's Documentation Status CODACY

The ASTROnomical POlarimetry and Photometry pipeline. Developed for work with IAGPOL and SPARC4 polarimeters at Observatório Pico dos Dias (Brazil), but suitable to be used in other image polarimeters around the world.

Features

This software is intended to provide a full pipeline to reduce raw polarimetry and photometry data taken with common CCD telescope cameras. It can do:

  • Create calibrate frames;

  • Calibrate images using bias/flat/dark frames;

  • Gain correction and in-processing image binnig;

  • Cosmic ray extraction (astroscrappy);

  • Align image sets;

  • Aperture and (planned) PSF photometry;

  • Calcite polarimeters;

    • Automatic pairs of stars identification;

  • Automatic photometry calibration using online catalogs.

Support and Community

We have a community of people using astropop to perform data reduction. Also, we use this community to offer support for astropop users. Join the community at astropop-users Google-Groups

Dependencies

Some of astropop dependencies (numpy, astropy, scipy, astroscrappy) need gcc to get build. Make sure gcc is installed properly in your system.

There is nothing that prevent astropop itself to run on Windows. However, due to problems that comes from dependencies, mainly numpy and astrometry.net, astropop is currently supported only on Linux and Mac.

Bellow we list all the necessary dependencies for the good working of the code. Note that this can be changed with the time.

  • astroalign;

  • astropy >= 4.3;

  • astroquery;

  • astroscrappy;

  • numpy >= 1.17;

  • scikit-image;

  • scikit-learn;

  • scipy;

  • sep.

Installation

Astropop can be downloaded from gh/sparc4-dev/astropop. It follows the stadard python package install procedure. All requirements can be installed with pip or conda.

Anaconda Environment

We recomend to use a anaconda environment to use astropop. Having the anaconda installed, use the following command to install a new <environment name> with conda dependencies:

conda create -n <environment name> -c conda-forge python=3.10 astroalign astropy astroquery astroscrappy matplotlib numpy pyyaml reproject scikit-image scikit-learn scipy sep

Once the environment is created, you can activate the environment and install the astropop with pip.

conda activate <environment name>

Stable Version

The stable version of astropop is available in PyPi and can be installed directly with pip command.

pip install astropop

Development Version

The development (unstable) version can be installed from the github code. With pip, can be done in any of the 3 ways:

pip install -U git+https://github.com/sparc4-dev/astropop

or

pip install -U https://github.com/sparc4-dev/astropop/archive/refs/heads/main.zip

or

git clone https://github.com/sparc4-dev/astropop
cd astropop
pip install -U .

Citing

ADS Reference Publications of the Astronomy Society of the Pacific arXiv preprint ASCL register

An article was published in Publications of the Astronomical Society of the Pacific, vol.131, n.996, pp.024501, which is the main reference to this work. If you do not have access to PASP, the preprint was uploaded to arXiv:1811.01408.

Also, for latex citation, you can use the following BibTex:

@article{Campagnolo_2018,
    doi = {10.1088/1538-3873/aaecc2},
        url = {https://doi.org/10.1088%2F1538-3873%2Faaecc2},
        year = 2018,
        month = {dec},
        publisher = {{IOP} Publishing},
        volume = {131},
        number = {996},
        pages = {024501},
        author = {Julio Cesar Neves Campagnolo},
        title = {{ASTROPOP}: the {ASTROnomical} {POlarimetry} and Photometry Pipeline},
        journal = {Publications of the Astronomical Society of the Pacific},
}

Documentation

Documentation (not complete yet) can be found at astropop.readthedocs.io

Metadata

Release files for astropop 0.9.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for astropop 0.9.4
File Size Uploaded
astropop-0.9.4.tar.gz 282.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for astropop 0.9.4
File Interpreter ABI Platform
astropop-0.9.4-py3-none-any.whl Python 3 none any Details

Total release size: 392.6 kB

Release files / astropop-0.9.4.tar.gz

Download URL astropop-0.9.4.tar.gz
Size 282.0 kB
Tags Source
SHA-256 checksum
How to use checksums
9f29e073d1b4ec32f02003c871683a40365467bc0978adbc6594974c66e231e0
BLAKE2b-256 checksum
How to use checksums
b6bb9b7b6cba34ec6444f8c82f7f2720ccea67fdc1e095ca0f4f4dcc0780789d
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.0 CPython/3.12.4

Release files / astropop-0.9.4-py3-none-any.whl

Download URL astropop-0.9.4-py3-none-any.whl
Size 110.7 kB
Tags Python 3
SHA-256 checksum
How to use checksums
3665d6ff9e3ac7844323d6b001582d339d4eee48160930da16ae72be20ba8900
BLAKE2b-256 checksum
How to use checksums
6dffa26c0776da6fe8ecff75bde38f58acef6d8ea1613344b393d60e408c25ca
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.1.0 CPython/3.12.4
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page