Plot fit results on denser grid
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@ -187,12 +187,13 @@ def create():
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fit = scan.get("fit")
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fit = scan.get("fit")
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if fit is not None:
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if fit is not None:
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plot_fit_source.data.update(x=x, y=fit.best_fit)
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x_fit = np.linspace(x[0], x[-1], 100)
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plot_fit_source.data.update(x=x_fit, y=fit.eval(x=x_fit))
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for i, model in enumerate(fit_params):
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for i, model in enumerate(fit_params):
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if "background" in model:
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if "background" in model:
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comps = fit.eval_components()
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comps = fit.eval_components(x=x_fit)
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plot_bkg_source.data.update(x=x, y=comps[f"f{i}_"])
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plot_bkg_source.data.update(x=x_fit, y=comps[f"f{i}_"])
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break
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break
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else:
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else:
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plot_bkg_source.data.update(x=[], y=[])
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plot_bkg_source.data.update(x=[], y=[])
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@ -205,12 +205,13 @@ def create():
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fit = scan.get("fit")
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fit = scan.get("fit")
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if fit is not None:
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if fit is not None:
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plot_fit_source.data.update(x=x, y=fit.best_fit)
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x_fit = np.linspace(x[0], x[-1], 100)
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plot_fit_source.data.update(x=x_fit, y=fit.eval(x=x_fit))
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for i, model in enumerate(fit_params):
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for i, model in enumerate(fit_params):
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if "background" in model:
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if "background" in model:
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comps = fit.eval_components()
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comps = fit.eval_components(x=x_fit)
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plot_bkg_source.data.update(x=x, y=comps[f"f{i}_"])
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plot_bkg_source.data.update(x=x_fit, y=comps[f"f{i}_"])
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break
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break
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else:
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else:
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plot_bkg_source.data.update(x=[], y=[])
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plot_bkg_source.data.update(x=[], y=[])
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