Changeset 5ed76f8 in sasview for src/sas/sasgui/guiframe
- Timestamp:
- Apr 7, 2017 3:11:41 AM (8 years ago)
- Branches:
- master, ESS_GUI, ESS_GUI_Docs, ESS_GUI_batch_fitting, ESS_GUI_bumps_abstraction, ESS_GUI_iss1116, ESS_GUI_iss879, ESS_GUI_iss959, ESS_GUI_opencl, ESS_GUI_ordering, ESS_GUI_sync_sascalc, magnetic_scatt, release-4.2.2, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload
- Children:
- fca1f50
- Parents:
- 727c05f
- File:
-
- 1 edited
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src/sas/sasgui/guiframe/media/graph_help.rst
rf9b0c81 r5ed76f8 9 9 10 10 SasView generates three different types of graph window: one that displays *1D data* 11 (i e, I(Q) vs Q), one that displays *1D residuals* (ie, the difference between the12 experimental data and the theory at the same Qvalues), and *2D color maps*.11 (i.e., $I(Q)$ vs $Q$), one that displays *1D residuals* (ie, the difference between the 12 experimental data and the theory at the same $Q$ values), and *2D color maps*. 13 13 14 14 Graph window options … … 42 42 plot window. 43 43 44 .. note:: 44 .. note:: 45 45 *If a residuals graph (when fitting data) is hidden, it will not show up 46 46 after computation.* … … 138 138 style and size. *Remove Text* will remove the last annotation added. To change 139 139 the legend. *Window Title* allows a custom title to be entered instead of Graph 140 x. 140 x. 141 141 142 142 Changing scales … … 226 226 ^^^^^^^^^^^^^^^^^^^ 227 227 228 Linear fit performs a simple ( y(x)=ax+b )linear fit within the plot window.228 Linear fit performs a simple $y(x)=ax+b$ linear fit within the plot window. 229 229 230 230 In the *Dataset Menu* (see Invoking_the_dataset_menu_), select *Linear Fit*. A … … 234 234 235 235 This option is most useful for performing simple Guinier, XS Guinier, and 236 Porod type analyses, for example, to estimate Rg, a rod diameter, or incoherent236 Porod type analyses, for example, to estimate $R_g$, a rod diameter, or incoherent 237 237 background level, respectively. 238 238 … … 319 319 ^^^^^^^^^^^^^^^^^^^^^^^^^ 320 320 321 This operation will perform an average in constant Q-rings around the (x,y)321 This operation will perform an average in constant $Q$ rings around the (x,y) 322 322 pixel location of the beam center. 323 323 … … 331 331 ^^^^^^^^^^^^^^^^^^^^^^^ 332 332 333 This operation averages in constant Q-arcs.334 335 The width of the sector is specified in degrees ( +/- |delta|\|phi|\) each side336 of the central angle (|phi|\).337 338 Annular average [ |phi| View]339 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 340 341 This operation performs an average between two Q-values centered on (0,0),333 This operation averages in constant $Q$ arcs. 334 335 The width of the sector is specified in degrees ($\pm\delta|\phi|$) each side 336 of the central angle $\phi$. 337 338 Annular average [:math:`\phi`] 339 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 340 341 This operation performs an average between two $Q$ values centered on (0,0), 342 342 and averaged over a specified number of pixels. 343 343 344 The data is returned as a function of angle (|phi|\)in degrees with zero344 The data is returned as a function of angle $\phi$ in degrees with zero 345 345 degrees at the 3 O'clock position. 346 346 … … 356 356 ^^^^^^^^^^^^^^^^^^^ 357 357 358 This operation computes an average I(Qx)for the region of interest.358 This operation computes an average $I(Q_x)$ for the region of interest. 359 359 360 360 When editing the slicer parameters, the user can control the length and the 361 361 width the rectangular slicer. The averaged output is calculated from constant 362 bins with rectangular shape. The resultant Qvalues are nominal values, that362 bins with rectangular shape. The resultant $Q$ values are nominal values, that 363 363 is, the central value of each bin on the x-axis. 364 364 … … 366 366 ^^^^^^^^^^^^^^^^^^^ 367 367 368 This operation computes an average I(Qy)for the region of interest.368 This operation computes an average $I(Q_y)$ for the region of interest. 369 369 370 370 When editing the slicer parameters, the user can control the length and the 371 371 width the rectangular slicer. The averaged output is calculated from constant 372 bins with rectangular shape. The resultant Qvalues are nominal values, that372 bins with rectangular shape. The resultant $Q$ values are nominal values, that 373 373 is, the central value of each bin on the x-axis. 374 374
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