Fitting of the CC model magnetic flux rope model (250 experiments, 50 repeats)

Fittings of noisy magnetic field simulated data created using the Circular-Cylindrical analytical magnetic flux rope model (DOI 10.3847/0004-637X/823/1/27), and fitted with the "magnetic-flux-rope-models" Python library, created by Jordi Jumilla Lorenz. The dataset includes 250 different combinations of parameters, created with the Latin Hypercube Sampling method. Every experiment has 50 repeats, in which the random seed has been modified. The random seed controls the randomness of the Gaussian noise added to the magnetic field time series. Every simulation consisted of a time series of 13 data points for each of the x, y and z components of the magnetic field, with a total of 39 points.