The goal of FindFeaturesSpecImg is to identify main geometrical features in a Spectral Image.
Its main application is the auxiliary telescope of LSST aiming at measuring star spectra to extract atmospheric transmission.
In particular it is proposed to feed Spectractor with the diffraction order 0 Star position in the image included the orientation angle of its first
- author : Sylvie Dagoret-Campagne
- affiliation : LAL/IN2P3/CNRS puis IJCLAB/IN2P3/CNRS
- creation date : December 10 th 2019
- update : December 13 th 2019
- update : February 25th 2020
Spectractor is written in Python 3.7 It needs the numpy, skimage, astropy, modules for science computations, and also logging and coloredlogs.
- numpy
- matplotlib
- astropy
- skimage
...
in a shell, run the command :
python runFeaturesExtractorSpecimg.py input_image_filename
or
python runFeaturesExtractorSpecLampimg.py -c config/opticalbench.ini tests/data/10_CCD1_20200206164429_red.fits
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input : fit filename of the input image
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output : an ascii file containing the position of the identified order 0 stars, plus some criteria Notice some default parameters are in file parameters.py, which may be changed in config files
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more input arguments :
- config file path
- runFeaturesExtractorSpecimg.py : Original Image analyser
- FeaturesExtractor/featuresextractor.py
- runFeaturesExtractorSpecLampimg.py : Analyser developped for test bench
- FeaturesExtractor/featuresextractor_lambdam.py