From a6b68b216a35268bb0bc6bf853ba38b7f1e3db0e Mon Sep 17 00:00:00 2001 From: Jaron Kent-Dobias Date: Mon, 25 Oct 2021 14:24:49 +0200 Subject: More fully describe the fit. --- ising_scaling.tex | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/ising_scaling.tex b/ising_scaling.tex index 035c190..594588b 100644 --- a/ising_scaling.tex +++ b/ising_scaling.tex @@ -564,7 +564,9 @@ parametric form evaluated at the same points, $\theta=0$ and $\theta=\theta_0$, weighted by the uncertainty in the value of the known coefficients or by a machine-precision cutoff, whichever is larger. We also add the difference between the predictions for $A_\mathrm{YL}$ and $\xi_\mathrm{YL}$ and their -known numeric values, again weighted by their uncertainty. +known numeric values, again weighted by their uncertainty. In order to +encourage convergence, we also add to the cost the weighted coefficients +$j!g_j$ and $j!G_j$. A Levenberg--Marquardt algorithm is performed on the cost function to find a parameter combination which minimizes it. As larger polynomial order in the -- cgit v1.2.3-70-g09d2