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Newer version available (2.1)

Released:

A Simple CCD Images Reducer for the Paris Observatory.

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Project description

What does astro_reduce do?

astro_reduce reduces astronomical CCD images in FITS format by treating raw images with dark and flat field images. It keeps the intermediate images produced along the reduction process.

Optionally, it can interpolate missing dark field images from the available ones, and also convert the intermediate and reduced images to PNG format for easy inspection.

To operate, astro_reduce needs to be launched from a directory organized in a standardized fashion (see Nomenclature and configuration file paragraph below).

Note: It is highly recommended to back up your raw data before using astro_reduce, and to inspect the intermediate images produced by astro_reduce before considering the final reduced images.

Installing

Use the setup.py file with python3 setup.py install --user to install the program locally. You should then include ~/.local/bin (or ~/Library/Python/3.7/bin for Mac users) to your path in order to invoke astro_reduce from the console.

Dependencies

astro_reduce depends on the click, astropy, numpy, scipy and matplotlib (only for the --tmppng and --redpng options) Python packages, which are all available through the PyPI.

Usage

In the directory containing the .json configuration file (see the Configuration file paragraph below), launch the reduction with:

astro_reduce [OPTIONS] CONF_FILE

You will then find the intermediate reduction files in the tmp/ directory, and your reduced images in the reduced/ directory.

astro_reduce has been tested on Linux and Mac platforms, and has yet to be tested on Windows.

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Options

-v, --verbose : Enables verbose mode (recommended).
-t, --tmppng : Write PNG format of intermediary images after reduction (useful for inspection after reduction).
-r, --redpng : Write PNG format of reduced images after reduction (idem --tmppng).
-i, --interpolate : Interpolate existing dark field images if some are missing.
-c, --cross : Realign across series of same object, filter and exposure
--help : Show help message.

Directory structure and configuration file

Initial folder structure

astro_reduce will operate in a folder which must contain:

A darks/ folder, containing the dark field FITS files, with names according to [DARK_NAME]_[EXPOSURE_TIME_IN_MS]_[NUMBER].fits. Here [DARK_NAME] is the dark field file identifier (read in the configuration file, see next paragraph), and [NUMBER] is the number of the image in a series of dark fields of same exposure.
A flats/ folder, containing the flat field FITS files, with names according to [FLAT_NAME]_[FILTER]_[EXPOSURE_TIME_IN_MS]_[NUMBER].fits. Here [FLAT_NAME] is the flat field file identifier (also read in the configuration file), [FILTER] is one of the filters specified in the configuration file, and [NUMBER] is the number of the image in a series of flats of same exposure and filter.
An objects/ folder, containing all the object images, with names according to [OBJECT_NAME]_[SERIES_NUMBER]_[FILTER]_[EXPOSURE_TIME_IN_MS]_[NUMBER].fits. Here, [OBJECT_NAME] is one of those read in the configuration file, and [SERIES_NUMBER] is the number of the series (images taken with same object, exposure and filter).

Note:

All of the bits in brackets are mandatory for each file name,
Seeing this nomenclature, you should refrain from using _ in object names,
fit and other derivatives can be used as extensions for the FITS files.

Configuration file

For a series of images to reduce, the configuration file must specify:

all the exposure times (in ms) of all the images taken (including those of dark and flat fields),
filters,
object names,
flat and dark image identifiers.

All of this information is contained in a .json file and organized as follows:

Note:

Of course, all objects or flats need not be imaged with every filter or every exposure time,
It suffices to specify each exposure time and filter used once,
Also, numbers of images in series need not start with 0 or 1 (see the example directory below),
For the time being, the configuration file is not checked for consistency with the data before reduction. Thus reducing images with unspecified filters or filters with no corresponding flat field images may lead to crashes.

Example directory structure and configuration file

Say you observed the following objects on August 17th 2017:

the NGC4993 galaxy (at two different moments of the night, hence two series),
the B612 asteroid,
Regulus to serve as a reference star for photometry of NGC4993.

You will thus have two series of NGC4993 images (filter V throughout and 30s exposures), and one series for both Regulus (filters V and Clear, exposure time 1s) and the asteroid (both filters, exposure time 5s).

You also have dark field images (whose file names start with dark) for each exposure time (0.5s, 1s, 5s and 30s), and flat fields (whose file names start with FLAT) for each filter, taken with exposures of 0.5s.

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