Skip to main content

Proper Astronomic Image Analysis

Project description

Proper image treatments

QuatroPe Build Status Documentation Status codecov Python 3.8 License ascl:1904.025 Code style: black

This code is inspired on Zackay & Ofek 2017 papers How to coadd images? (see References below).

  • It can perform a PSF estimation using Karhunen-Löeve expansion, which is based on Lauer 2002 work.

  • It can perform the statistical proper coadd of several images.

  • It can also perform a proper-subtraction of images.

  • Images need to be aligned and registered, or at least astroalign must be installed.

  • Contains a nice plot module for PSF visualization (needs matplotlib)

Installation

To install from PyPI

$ pip install properimage

Quick usage

PSF estimation

>>> from properimage import singleimage as si
>>> with si.SingleImage(frame, smooth_psf=False) as sim:
...     a_fields, psf_basis = sim.get_variable_psf(inf_loss=0.15)

Proper-subtraction of images

To create a proper-subtraction of images:

>>> from properimage import propersubtract as ps
>>> D, P, Scorr, mask = ps.subtract(ref=ref_path, new=new_path, smooth_psf=False, fitted_psf=True,
...                             align=False, iterative=False, beta=False, shift=False)

Where D, P, Scorr refer to the images defined by the same name in Zackay & Ofek paper.

For the full documentation refer to readthedocs.

Rerefences

Zackay, B., & Ofek, E. O. (2017). How to Coadd Images. I. Optimal Source Detection and Photometry of Point Sources Using Ensembles of Images. The Astrophysical Journal, 836(2), 187. Arxiv version

Zackay, B., & Ofek, E. O. (2017). How to Coadd Images. II. A Coaddition Image that is Optimal for Any Purpose in the Background-dominated Noise Limit. The Astrophysical Journal, 836(2), 188. Arxiv version

Zackay, B., Ofek, E. O., & Gal-Yam, A. (2016). Proper Image Subtrraction-Optimal Transient Detection, Photometry, and Hypothesis Testing. The Astrophysical Journal, 830(1), 27.

Lauer, T. (2002, December). Deconvolution with a spatially-variant PSF. In Astronomical Data Analysis II (Vol. 4847, pp. 167-174). International Society for Optics and Photonics.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Files for properimage, version 0.7.1
Filename, size File type Python version Upload date Hashes
Filename, size properimage-0.7.1-py3-none-any.whl (121.0 kB) File type Wheel Python version py3 Upload date Hashes View
Filename, size properimage-0.7.1.tar.gz (34.0 kB) File type Source Python version None Upload date Hashes View

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page