{{ title }}
{{ description }}
| Summary | ||
| Number of parameters | {{ n_params }} | |
| Number of data points | {{ n_data_points }} | |
| Functions | ||
| Form | {{ equation }} | |
| Initial Parameters | {% if list_params %}{{ initial_guess }} | {% else %}Too many parameters to display | {% endif %}
{% if initial_plot_available %}
{% else %}
{{ initial_plot }}
{% endif %}
{% if is_best_fit %}
This is the best fit of the minimizers used.
{% 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 | {% if list_params %}{{ min_params }} | {% else %}Too many parameters to display | {% endif %}
{% 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 %}