Changeset 5ed76f8 in sasview for src/sas/sasgui/guiframe


Ignore:
Timestamp:
Apr 7, 2017 1:11:41 AM (8 years ago)
Author:
Paul Kienzle <pkienzle@…>
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
Message:

docs: use latex in equations rather than unicode + rst markup

File:
1 edited

Legend:

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  • src/sas/sasgui/guiframe/media/graph_help.rst

    rf9b0c81 r5ed76f8  
    99 
    1010SasView generates three different types of graph window: one that displays *1D data* 
    11 (ie, 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*. 
     11(i.e., $I(Q)$ vs $Q$), one that displays *1D residuals* (ie, the difference between the 
     12experimental data and the theory at the same $Q$ values), and *2D color maps*. 
    1313 
    1414Graph window options 
     
    4242plot window. 
    4343 
    44 .. note::  
     44.. note:: 
    4545    *If a residuals graph (when fitting data) is hidden, it will not show up 
    4646    after computation.* 
     
    138138style and size. *Remove Text* will remove the last annotation added. To change 
    139139the legend. *Window Title* allows a custom title to be entered instead of Graph 
    140 x.  
     140x. 
    141141 
    142142Changing scales 
     
    226226^^^^^^^^^^^^^^^^^^^ 
    227227 
    228 Linear fit performs a simple ( y(x)=ax+b ) linear fit within the plot window. 
     228Linear fit performs a simple $y(x)=ax+b$ linear fit within the plot window. 
    229229 
    230230In the *Dataset Menu* (see Invoking_the_dataset_menu_), select *Linear Fit*. A 
     
    234234 
    235235This option is most useful for performing simple Guinier, XS Guinier, and 
    236 Porod type analyses, for example, to estimate Rg, a rod diameter, or incoherent 
     236Porod type analyses, for example, to estimate $R_g$, a rod diameter, or incoherent 
    237237background level, respectively. 
    238238 
     
    319319^^^^^^^^^^^^^^^^^^^^^^^^^ 
    320320 
    321 This operation will perform an average in constant Q-rings around the (x,y) 
     321This operation will perform an average in constant $Q$ rings around the (x,y) 
    322322pixel location of the beam center. 
    323323 
     
    331331^^^^^^^^^^^^^^^^^^^^^^^ 
    332332 
    333 This operation averages in constant Q-arcs. 
    334  
    335 The width of the sector is specified in degrees (+/- |delta|\|phi|\) each side 
    336 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), 
     333This operation averages in constant $Q$ arcs. 
     334 
     335The width of the sector is specified in degrees ($\pm\delta|\phi|$) each side 
     336of the central angle $\phi$. 
     337 
     338Annular average [:math:`\phi`] 
     339^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ 
     340 
     341This operation performs an average between two $Q$ values centered on (0,0), 
    342342and averaged over a specified number of pixels. 
    343343 
    344 The data is returned as a function of angle (|phi|\) in degrees with zero 
     344The data is returned as a function of angle $\phi$ in degrees with zero 
    345345degrees at the 3 O'clock position. 
    346346 
     
    356356^^^^^^^^^^^^^^^^^^^ 
    357357 
    358 This operation computes an average I(Qx) for the region of interest. 
     358This operation computes an average $I(Q_x)$ for the region of interest. 
    359359 
    360360When editing the slicer parameters, the user can control the length and the 
    361361width the rectangular slicer. The averaged output is calculated from constant 
    362 bins with rectangular shape. The resultant Q values are nominal values, that 
     362bins with rectangular shape. The resultant $Q$ values are nominal values, that 
    363363is, the central value of each bin on the x-axis. 
    364364 
     
    366366^^^^^^^^^^^^^^^^^^^ 
    367367 
    368 This operation computes an average I(Qy) for the region of interest. 
     368This operation computes an average $I(Q_y)$ for the region of interest. 
    369369 
    370370When editing the slicer parameters, the user can control the length and the 
    371371width the rectangular slicer. The averaged output is calculated from constant 
    372 bins with rectangular shape. The resultant Q values are nominal values, that 
     372bins with rectangular shape. The resultant $Q$ values are nominal values, that 
    373373is, the central value of each bin on the x-axis. 
    374374 
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