Clarify error definitions
@@ -47,7 +47,7 @@ Uniformly for both methods most estimators compute the same basic quantities:
Quantity Definition
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norm Best fit norm with respect to the reference spectral model
-norm_err Symmetric error on the norm derived from the Hessian matrix
+norm_err Symmetric error on the norm derived from the Hessian matrix. Given as difference to the best fit norm.
stat Fit statistics value of the best fit hypothesis
stat_null Fit statistics value of the null hypothesis
ts Difference in fit statistics (`stat - stat_null` )
@@ -62,9 +62,9 @@ In addition, the following optional quantities can be computed:
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Quantity Definition
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-norm_errp Positive error of the norm
-norm_errn Negative error of the norm
-norm_ul Upper limit of the norm
+norm_errp Positive error of the norm, given as difference to the best fit norm
+norm_errn Negative error of the norm, given as difference to the best fit norm
+norm_ul Upper limit of the norm, fiven as abolsute value
norm_scan Norm scan
stat_scan Fit statistics scan
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