This page (revision-3) was last changed on 07-Dec-2016 14:14 by PeterYoung

This page was created on 17-Mar-2010 21:43 by PeterYoung

Only authorized users are allowed to rename pages.

Only authorized users are allowed to delete pages.

Page revision history

Version Date Modified Size Author Changes ... Change note
3 07-Dec-2016 14:14 1 KB PeterYoung to previous
2 17-Mar-2010 21:59 1 KB PeterYoung to previous | to last
1 17-Mar-2010 21:43 771 bytes PeterYoung to last

Page References

Incoming links Outgoing links
NarrowWorksheet7
NarrowWorksheet7

Version management

Difference between version and

At line 3 changed one line
The results of the fitting process can be checked using the widget-based routine eis_fit_viewer:
Since eis_auto_fit may fit many thousands of spectra for a single raster it is important to be able to quickly assess how accurate the fits were. The widget-based routine 'eis_fit_viewer' takes as inputs the fit structure and the original window data and allows the fits to be compared with the original data.
At line 5 added 2 lines
The calling procedure is:
At line 7 changed one line
The top 3 graphic windows in the GUI show line intensity, line velocity and line width (FWHM). Note the vertical bands in the velocity window – this is due to the orbital variation of the lines on the detector (see Worksheet 7a).
and a large graphic user interface (GUI) appears containing five graphics windows.
At line 11 added 2 lines
The top 3 graphic windows in the GUI show line intensity, line velocity and line width (FWHM). Underneath each window are text boxes that allow the image to be scaled using minimum and maximum values. The 'Auto' button automatically scales the images to preset values.
At line 11 changed one line
The bottom-right window shows a histogram of the selected images pixels for either intensity, velocity or line width.
The bottom-right window shows a histogram of the selected image pixels for intensity, velocity, line width or chi^2.
Strange line fits will stand out in one or more of the intensity, velocity or line width maps through an anomalously high or low value. By clicking on such pixels one can see the original spectrum with the fit over-plotted. A bad fit may result from missing pixels in the data, line blending or simply be due to interesting physics going on.
This page (revision-3) was last changed on 07-Dec-2016 14:14 by PeterYoungTop