{{ title }}


{{ description }}



{% if list_params %} {% else %} {% endif %}
Summary
Number of parameters {{ n_params }}
Number of data points {{ n_data_points }}
Functions
Form {{ equation }}
Initial Parameters{{ initial_guess }}Too many parameters to display
{% if initial_plot_available %} {% else %}

{{ initial_plot }}

{% endif %}

{% if is_best_fit %}

This is the best fit of the minimizers used.

{% endif %}
{% if list_params %} {% else %} {% endif %}
Summary
Minimizer {{ minimizer }}
Accuracy {{ accuracy }}
Runtime {{ runtime }} seconds
Energy Usage {{ energy }}
Number of iterations {{ iteration_count }}
Number of function evaluations {{ func_evals }}
Functions
Form {{ equation }}
Fitted Parameters{{ min_params }}Too many parameters to display
{% if fitted_plot_available %} {% else %}

{{ fitted_plot }}

{% endif %} {% if pdf_plot_available %}

Estimated posterior pdf of each parameter

The vertical red line on each pdf shows the Scipy curve fit parameter estimate, with the dashed vertical red lines indicating the 2 sigma error of the fit. The area between the dashed lines is used to calculate the confidence in the MCMC fit.

{% else %}

{{ pdf_plot }}

{% endif %}