ALIS4D SST

Further work: * implement proper PSF to use in logPost * implement new posterior in pyod that uses PSF in posterior calculation

Running the analysis from terminal

python run_analysis.py data/Sat_coord_20200401T195300.mat corr plot

Just add on more keywords at the end for options, they are

• corr: run correlation with spacetrack catalogue
• od: orbit determination using minimization
• mcmc: orbit determination using Markov Chain Monte Carlo
• plot: generate plots
• sgp4: use sgp4 mean elements for orbit determination
• orekit: use orekit for orbit determination
• sgp4-state: use sgp4 but with a TEME state for orbit determination (default)
• override: override the caches if they exist
• forward: do a forward propagation of the MCMC results (needs mcmc to have completed)

Using the code in python

#!/usr/bin/env python

import matplotlib.pyplot as plt
import alis4dsst as a4

sources, time0, state0 = a4.io.load_track('Sat_coord_20200401T195000b.mat', 1, 1)
fig, ax = a4.plots.track(sources)

plt.show()

Example runs

python run_analysis.py data/Sat_coord_20200401T195000b.mat corr plot
python run_analysis.py data/Sat_coord_20200401T195000b.mat od sgp4-state mcmc forward plot

When used for publications

Contact at least one of the following:

• Daniel Kastinen <daniel.kastinen@irf.se>
• Tima Sergienko <tima@irf.se>
• Urban Braendstroem <urban.brandstrom@irf.se>
• Petrus Hyvönen <Petrus.Hyvonen@sscspace.com>
• Johan Kero <kero@irf.se>