Skip to main content

bayer-masked spectroscopic image reduction package

Project description

Capture, display and convert RAW DSLR astronomical images

This package was developed for astro-spectroscopic student projects at the Dresden Gönnsdorf observatory.

There are method to

Installation

apt-get install gphoto2
pip install algol-bayer

Capture DSLR raw images

Capture and display as histograms

Capture a sequence of DSLR raw images using increasing exposure times and display the images as histogram.

bayer_capture_histograms.sh

Capture and display as spectra

Capture a sequence of DSLR raw images and try to display them as spectra.

bayer_capture_sequence.sh 

Display raw DSLR images and spectra

Display raw DSLR image as histogram

alt text

bayer_display_histogram --help

Display raw DSLR image as spectrum

There is a published paper explaining how this works. It can be found online or in the docs/article folder.

alt text

bayer_display_spectrum --help

Display fits images and spectra

Display fits image as histogram

alt text

fits_display_histogram --help

Display fits image as spectrum

alt text

There is a published paper explaining how this works. It can be found online or in the docs/article folder.

fits_display_spectrum --help

Dark and flat correction

An example of how to do this can be found in tests/test_darkflat.py

Create master dark

... or a master-flat-dark from a set of dark images.

fits_create_master_dark --help

Create master flat

... from a master-flat-dark and a set of flat images.

fits_create_master_flat --help

Apply master dark and master flat to light images

fits_apply_darks_and_flats --help

Conversions

Debayer a 2d into a 3d fits file

fits_debayer --help

Links

Project details


Download files

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

Source Distribution

algol_bayer-2024.12.1.tar.gz (14.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

algol_bayer-2024.12.1-py3-none-any.whl (18.7 kB view details)

Uploaded Python 3

File details

Details for the file algol_bayer-2024.12.1.tar.gz.

File metadata

  • Download URL: algol_bayer-2024.12.1.tar.gz
  • Upload date:
  • Size: 14.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.10.12

File hashes

Hashes for algol_bayer-2024.12.1.tar.gz
Algorithm Hash digest
SHA256 99c59a9d527388b84adf5205e7db9642ea77fe4cd1b6ff48bcee237e8d439143
MD5 014c452b7921bde94804630e5b5c76d4
BLAKE2b-256 2eaad47c0f92e3f49290d592d13d595c490ef3f5eca2e6e422621287998b51a7

See more details on using hashes here.

File details

Details for the file algol_bayer-2024.12.1-py3-none-any.whl.

File metadata

File hashes

Hashes for algol_bayer-2024.12.1-py3-none-any.whl
Algorithm Hash digest
SHA256 a6af4f02680a5b43527f57d8ea053c2b332b05f7d4397816ac6445968d457731
MD5 e977d40cb4496a2ffc505ef8401c04f5
BLAKE2b-256 a71b3791153f5afec0eb4610f417674aad5ed4c7b2dc597be1774e6fa25881ce

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page