In previous posts I have described the analysis of meteor spectra with different methods, first using conventional software then with dedicated Python scripts. Lately I have added a windows graphical user interface (GUI), which simplifies the analysis of meteor spectra (https://meteorspectroscopy.org/2020/03/27/meteor-spectra-analysis-new-version/). Now that the scripts have been tested I made them publicly available at Github (https://github.com/meteorspectroscopy).
In addition to the meteor spectra analysis script described before, I also added a script for the calibration of the camera – lens – grating combination, M_Calib:
With this script you can:
- extract images from video clips
- add images to composite spectra
- measure line positions in the spectra
- determine parameters for the transformation to an orthographic projetion with a least square fit procedure
- display the results of the fit:
Meteor spectrum analysis
The results of the previous analysis with M_Calib are used in M_Spec, the script for the analysis of meteor spectra:
This has been described before in a previous post (https://meteorspectroscopy.org/2020/03/27/meteor-spectra-analysis-new-version/), so I can keep it short here. It allows to:
- extract series of meteor spectra from video files
- apply background correction
- apply transformation to orthographic projection
- register and stack meteor spectra
- apply tilt and slant correction to spectra
- add rows to convert 2-D spectrum to uncalibrated raw spectrum
- calibrate spectrum with at least one known spectral line
- plot calibrated spectrum
The scripts can be downloaded from Github. They are arranged in a folder together with additional files for testing and a manual for detailed instruction on how to use these scripts.
The easiest way is to download a zip Folder and unzip it in a test folder:
I recommend to use different folders for calibration and spectrum analysis (eventually, the two scripts will be combined to a single one, but this may take some more time).
Try it out, comments are welcome.