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After we run the second fit with Sherpa, we currently recalculate the fitted model (fit_model) manually, instead of reading it directly from the Sherpa objects. We need to figure out how to do this directly with Sherpa.
I believe that all we have to do is
fit_model=tdata.eval_model(tmodel)
but when I compare this array to the result of our manually calculated fit_model array, there is a difference in numerical accuracy, with the manual one seeming more accurate. We have to check why that is and whether we can change that.
The text was updated successfully, but these errors were encountered:
After we run the second fit with Sherpa, we currently recalculate the fitted model (
fit_model
) manually, instead of reading it directly from the Sherpa objects. We need to figure out how to do this directly with Sherpa.I believe that all we have to do is
but when I compare this array to the result of our manually calculated
fit_model
array, there is a difference in numerical accuracy, with the manual one seeming more accurate. We have to check why that is and whether we can change that.The text was updated successfully, but these errors were encountered: