Changeset a0637de in sasview for src/sas


Ignore:
Timestamp:
Apr 29, 2015 12:55:39 PM (10 years ago)
Author:
smk78
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, costrafo411, magnetic_scatt, release-4.1.1, release-4.1.2, release-4.2.2, release_4.0.1, ticket-1009, ticket-1094-headless, ticket-1242-2d-resolution, ticket-1243, ticket-1249, ticket885, unittest-saveload
Children:
8b55460
Parents:
3bc575d
Message:

Work in progress

Location:
src/sas/perspectives/fitting/media
Files:
4 edited

Legend:

Unmodified
Added
Removed
  • src/sas/perspectives/fitting/media/fitting.rst

    r790ff60 ra0637de  
    55   :maxdepth: 1 
    66 
    7    Fitting Perspective <perspectives/fitting/fitting_help> 
     7   Fitting Perspective <fitting_help> 
    88 
    9    Polydispersity Distributions <perspectives/fitting/pd_help> 
     9   Polydispersity Distributions <pd_help> 
    1010 
    11    Smearing Computation <perspectives/fitting/sm_help> 
     11   Smearing Computation <sm_help> 
    1212 
    13    Polarisation/Magnetic Scattering <perspectives/fitting/mag_help> 
     13   Polarisation/Magnetic Scattering <mag_help> 
     14 
     15   SasView Optimisers <Bumps/doc/guide/index> 
  • src/sas/perspectives/fitting/media/fitting_help.rst

    r3bc575d ra0637de  
    2626=================== 
    2727 
    28 Load_a_File_ 
     28Preparing_to_fit_data_ 
    2929 
    3030Single_Fit_ 
     
    4848.. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 
    4949 
    50 ..  _Load_a_File: 
    51  
    52 Load a File 
    53 ----------- 
    54  
    55 From Menu go to *Data* -> *Load Data File(or Folder)* . Select a file/folder  
    56 from the menu bar and click on Open button. Data contained in the file will be  
    57 displayed. To cancel the loading click on *cancel* . In case a file can not be  
    58 loaded, an error message will be displayed on the statusbar. 
     50.. _Preparing_to_fit_data: 
     51 
     52Preparing to fit data 
     53--------------------- 
     54 
     55To fit some data you must first load some data, activate one or more data sets, 
     56then send those data sets to the fitting perspective. 
     57 
     58Instructions on how to do this are in the User Documentation section *Loading* 
     59*Data*. 
     60 
     61SasView can fit data in one of three ways: 
     62 
     63*  in *Single* fit mode 
     64*  in *Simultaneous* fit mode 
     65*  in *Batch* fit mode 
     66 
     67These modes of operation are described below. 
    5968 
    6069.. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 
     
    392401--------------- 
    393402 
    394 Model Documentation <models/model_functions> 
     403See *Model Documentation*. 
    395404 
    396405.. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 
  • src/sas/perspectives/fitting/media/pd_help.rst

    rce62e75 ra0637de  
    4040 
    4141Note that this computation is very time intensive thus applying polydispersion/ 
    42 angular distrubtion for more than one paramters or increasing Npts values  
     42angular distribution for more than one parameters or increasing Npts values 
    4343might need extensive patience to complete the computation. Also note that  
    4444even though it is time consuming, it is safer to have larger values of Npts  
     
    4747The following five distribution functions are provided 
    4848 
    49 *  *Rectangular_Distribution_* 
    50 *  *Array_Distribution_* 
    51 *  *Gaussian_Distribution_* 
    52 *  *Lognormal_Distribution_* 
    53 *  *Schulz_Distribution_* 
     49*  *Rectangular Distribution* 
     50*  *Array Distribution* 
     51*  *Gaussian Distribution* 
     52*  *Lognormal Distribution* 
     53*  *Schulz Distribution* 
    5454 
    55 .. _Rectangular_Distribution: 
     55.. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 
    5656 
    5757Rectangular Distribution 
     
    7474.. image:: pd_image004.jpg 
    7575 
    76 .. _Array_Distribution: 
     76.. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 
    7777 
    7878Array Distribution 
     
    9696given in the control panel, for example ‘radius = 60’, will be ignored. 
    9797 
    98 .. _Gaussian_Distribution: 
     98.. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 
    9999 
    100100Gaussian Distribution 
     
    112112.. image:: pd_image006.jpg 
    113113 
    114 .. _Lognormal_Distribution: 
     114.. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 
    115115 
    116116Lognormal Distribution 
     
    140140p increases, requiring higher values of Nsigmas and Npts. 
    141141 
    142 .. _Schulz_Distribution: 
     142.. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 
    143143 
    144144Schulz Distribution 
  • src/sas/perspectives/fitting/media/sm_help.rst

    rce62e75 ra0637de  
    2828-------------------- 
    2929 
    30 Slit_Smearing_  
    31  
    32 Pinhole_Smearing_ 
    33  
    34 2D_Smearing_ 
    35  
    36 .. _Slit_Smearing: 
     30The following three smearing algorithms are provided 
     31 
     32*  *Slit Smearing* 
     33*  *Pinhole Smearing* 
     34*  *2D Smearing* 
     35 
     36.. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 
    3737 
    3838Slit Smearing 
     
    7474Equation 4 
    7575 
    76 Numerical Implementation of Equation 4 
    77 -------------------------------------- 
     76Numerical Implementation of Equation 4: 
     77--------------------------------------- 
    7878 
    7979Case 1 
     
    127127*Is* in *j* < *p* or *j* > *N-1*. 
    128128 
    129 .. _Pinhole_Smearing: 
     129.. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 
    130130 
    131131Pinhole Smearing 
     
    147147weighting matrix, and considered on *Is* computation. 
    148148 
    149 .. _2D_Smearing: 
     149.. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 
    150150 
    1511512D Smearing 
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