#1205 closed defect (fixed)
4.2 set weighting choice seems to be ignored.
Reported by: | richardh | Owned by: | mathieu |
---|---|---|---|
Priority: | blocker | Milestone: | SasView 4.2.1 |
Component: | SasView | Keywords: | |
Cc: | Work Package: | SasView QA and testing |
Description
Comparing fit results between 4.2 and 5.0, noticed (see #1204) that the set weighting option in 4.2 has no effect on the fit results, whereas it does in 5.0
Further investigation required.
Change History (9)
comment:1 Changed 6 years ago by smk78
comment:2 Changed 6 years ago by richardh
In the test I did the cylinder length stayed around 160.5 ang regardless of weighting scheme in 4.2, but in 5.0 was 160.5 (weights dI), 104 (weights none), 148 (sqrtI) and 205 (weights I(Q)) ang. So what is 5.0 doing differently, or is 4.2 acting up?
comment:3 Changed 6 years ago by richardh
3.1.2 and 4.1.2 behave in same way for me as 4.2, so perhaps the issue lies in 5.0 after all?
comment:4 Changed 6 years ago by butler
- Priority changed from critical to blocker
comment:5 Changed 6 years ago by pkienzle
Issue confirmed for current master.
Change the weighting and hit compute and the residuals plot is updated appropriately, however, the fit seems to use the data weights regardless of the GUI setting.
comment:6 Changed 6 years ago by Paul Kienzle <pkienzle@…>
comment:7 Changed 6 years ago by pkienzle
Sasview PR# 199.
comment:8 Changed 6 years ago by GitHub <noreply@…>
- Resolution set to fixed
- Status changed from new to closed
comment:9 Changed 6 years ago by butler
- Milestone changed from SasView 4.3.0 to SasView 4.2.1
Changing the weighting option does change the appearance of the residuals plot.
Moreover, if you sub-select and fit a region of the data with poorer error bars you DO find that the fit parameters change markedly depending on the weighting scheme chosen. For example, load the ISIS_Polymer_Blend_RT2 data and limit the fitted region to between 0.15 - 0.254. As you include more and more of the data below 0.15 the fit parameters vary less with the weighting scheme chosen as @richardh describes.