Cite this as (APA format)
De Keyser, J. (2024). Supplementary material for: Mass calibration of Rosetta’s ROSINA/DFMS mass spectrometer - Software (Version 20240417) [Computer software]. Royal Belgian Institute for Space Aeronomy. https://doi.org/10.18758/71021093
Retrieved: 10:13 15 Jun 2025 (UTC)
Users of this DOI are kindly encouraged to contact the author(s) for help and cooperation towards further successful utilisation.
Technical info
| Resource format | ZIP |
|---|---|
| Resource size | 74.7 kB |
Additional info
| Data last updated | July 12, 2024 |
|---|---|
| Metadata last updated | July 12, 2024 |
| Created | July 12, 2024 |
Program files (MATLAB 2022a)
Main program
- dm_analysis.m : Driver routine for computing the mass calibration.
Auxiliary routines
- dm_analysis_beam_shift.m : This routine defines the beam shift for the commanded mass-over-charge values.
- dm_analysis_dispersion.m : This routine defines the dispersion factor for the commanded mass-over-charge values.
- dm_analysis_read_mass_peak_data.m, dm_analysis_read_position_and_attitude.m, dm_analysis_read_temperature.m : These routines read data files from the “data” folder.
- dm_analysis_pixAB.m : This routine determines the pixel difference between channels A and B for all the commanded mass-over-charge values.
- dm_analysis_enrich_mass_peak_data.m : This routine associates temperature, position, and attitude data with the data for the peaks.
- dm_analysis_filter_peak_data.m, dm_analysis_remove_outliers.m, fit_skewed_normal_distribution.m, running_average.m, running_median.m, running_signed_median.m : These routines are used in filtering the peak data according to various criteria, and to remove outliers.
- dm_analysis_find_time_interval.m : This routine finds the time interval to be used, containing all the data.
- expl_optimization.m, BFGS_optimization.m, find_orthonormal_complement.m : These routines implement the optimization technique, which is exploratory optimization, that in turns uses BFGS steepest descent optimization. These routines allow constraints to be specified.
- dm_analysis_plot_consistency.m, dm_analysis_plot_convergence.m, dm_analysis_plot_correlation.m, dm_analysis_plot_dp0_poly.m, dm_analysis_plot_fitting.m, dm_analysis_plot_overview.m, dm_analysis_plot_pixAB.m, dm_analysis_plot_residual_distributions.m : These routines create various types of plots. The resulting figures are written to the output folder.
- dm_analysis_write.m : This routine writes the calibration file that is the result of the computation into a file in the output folder.
- julian_day.m : Routine for obtaining the Julian Day for a specified calendar date.
- fit_linear_spline.m : This routine computes a piecewise linear spline fit to the given data, while imposing a smoothness condition and constraints on the fitted function.
- histogram_1d.m : This routine constructs a histogram of a monovariate distributed quantity.
- mim_random.m, mim_random_generate.m, mim_random_length.m : These routines handle random number generation, which is used by the exploratory optimization technique.
Usage:
Copy the MatLab files in a directory, for instance, “work”. Make that directory the current directory. Type “dm_analysis” on the command line (no arguments). MatLab then runs the program.