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grss.fit.fit_simulation.IterationParams

grss.fit.fit_simulation.IterationParams#

class grss.fit.fit_simulation.IterationParams(iter_number, x_nom, covariance, obs, rms_u, rms_w, chi_sq)#

Bases: object

Class for storing the iteration parameters for a single iteration of the orbit determination process. It is also used for plotting the residuals and chi-squared values for each iteration.

__init__(iter_number, x_nom, covariance, obs, rms_u, rms_w, chi_sq)#

Constructor for the IterationParams class

Parameters:

  • iter_number (int) – Iteration number

  • x_nom (dict) – Dictionary of nominal state vector values at the current iteration

  • covariance (array) – Covariance matrix at the current iteration

  • obs (pandas DataFrame) – Observation data for the orbit fit

  • rms_u (float) – Unweighted RMS of the residuals.

  • rms_w (float) – Weighted RMS of the residuals.

  • chi_sq (float) – Chi-squared value for the residuals

Methods

__init__(iter_number, x_nom, covariance, ...)

Constructor for the IterationParams class

plot_iteration_summary([show_logarithmic, ...])

Plot the summary of the iteration, including residuals, chi values, and chi squared values.
plot_iteration_summary(show_logarithmic=False, title=None, plot_chi_squared=False, savefig=False, figname=None, auto_close=False)#

Plot the summary of the iteration, including residuals, chi values, and chi squared values.

Parameters:

  • show_logarithmic (bool, optional) – Flag to show the plotted values on a logarithmic scale, by default False

  • title (str, optional) – Title of the plot, by default None

  • plot_chi_squared (bool, optional) – Flag to plot the chi squared values, by default False

  • savefig (bool, optional) – Flag to save the figure, by default False

  • figname (str, optional) – Name of the figure, by default None

  • auto_close (bool, optional) – Flag to automatically close the figure, by default False

Returns:

None – None

Return type:

NoneType

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