gwcs.wcs.NoConvergence

class gwcs.wcs.NoConvergence(*args, best_solution=None, accuracy=None, niter=None, divergent=None, slow_conv=None)

Bases: Exception

An error class used to report non-convergence and/or divergence of numerical methods. It is used to report errors in the iterative solution used by the all_world2pix().

Variables:

  • best_solution (numpy.ndarray) – Best solution achieved by the numerical method.

  • accuracy (numpy.ndarray) – Estimate of the accuracy of the best_solution.

  • niter (int) – Number of iterations performed by the numerical method to compute best_solution.

  • divergent (None, numpy.ndarray) – Indices of the points in best_solution array for which the solution appears to be divergent. If the solution does not diverge, divergent will be set to None.

  • slow_conv (None, numpy.ndarray) – Indices of the solutions in best_solution array for which the solution failed to converge within the specified maximum number of iterations. If there are no non-converging solutions (i.e., if the required accuracy has been achieved for all input data points) then slow_conv will be set to None.