Changeset a0637de in sasview
- Timestamp:
- Apr 29, 2015 12:55:39 PM (10 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, 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
- Location:
- src/sas/perspectives/fitting/media
- Files:
-
- 4 edited
Legend:
- Unmodified
- Added
- Removed
-
src/sas/perspectives/fitting/media/fitting.rst
r790ff60 ra0637de 5 5 :maxdepth: 1 6 6 7 Fitting Perspective < perspectives/fitting/fitting_help>7 Fitting Perspective <fitting_help> 8 8 9 Polydispersity Distributions <p erspectives/fitting/pd_help>9 Polydispersity Distributions <pd_help> 10 10 11 Smearing Computation < perspectives/fitting/sm_help>11 Smearing Computation <sm_help> 12 12 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 26 26 =================== 27 27 28 Load_a_File_28 Preparing_to_fit_data_ 29 29 30 30 Single_Fit_ … … 48 48 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 49 49 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 52 Preparing to fit data 53 --------------------- 54 55 To fit some data you must first load some data, activate one or more data sets, 56 then send those data sets to the fitting perspective. 57 58 Instructions on how to do this are in the User Documentation section *Loading* 59 *Data*. 60 61 SasView 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 67 These modes of operation are described below. 59 68 60 69 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ … … 392 401 --------------- 393 402 394 Model Documentation <models/model_functions> 403 See *Model Documentation*. 395 404 396 405 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ -
src/sas/perspectives/fitting/media/pd_help.rst
rce62e75 ra0637de 40 40 41 41 Note that this computation is very time intensive thus applying polydispersion/ 42 angular distr ubtion for more than one paramters or increasing Npts values42 angular distribution for more than one parameters or increasing Npts values 43 43 might need extensive patience to complete the computation. Also note that 44 44 even though it is time consuming, it is safer to have larger values of Npts … … 47 47 The following five distribution functions are provided 48 48 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* 54 54 55 .. _Rectangular_Distribution:55 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 56 56 57 57 Rectangular Distribution … … 74 74 .. image:: pd_image004.jpg 75 75 76 .. _Array_Distribution:76 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 77 77 78 78 Array Distribution … … 96 96 given in the control panel, for example ââ¬Ëradius = 60ââ¬â¢, will be ignored. 97 97 98 .. _Gaussian_Distribution:98 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 99 99 100 100 Gaussian Distribution … … 112 112 .. image:: pd_image006.jpg 113 113 114 .. _Lognormal_Distribution:114 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 115 115 116 116 Lognormal Distribution … … 140 140 p increases, requiring higher values of Nsigmas and Npts. 141 141 142 .. _Schulz_Distribution:142 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 143 143 144 144 Schulz Distribution -
src/sas/perspectives/fitting/media/sm_help.rst
rce62e75 ra0637de 28 28 -------------------- 29 29 30 Slit_Smearing_ 31 32 Pinhole_Smearing_ 33 34 2D_Smearing_ 35 36 .. _Slit_Smearing:30 The following three smearing algorithms are provided 31 32 * *Slit Smearing* 33 * *Pinhole Smearing* 34 * *2D Smearing* 35 36 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 37 37 38 38 Slit Smearing … … 74 74 Equation 4 75 75 76 Numerical Implementation of Equation 4 77 -------------------------------------- 76 Numerical Implementation of Equation 4: 77 --------------------------------------- 78 78 79 79 Case 1 … … 127 127 *Is* in *j* < *p* or *j* > *N-1*. 128 128 129 .. _Pinhole_Smearing:129 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 130 130 131 131 Pinhole Smearing … … 147 147 weighting matrix, and considered on *Is* computation. 148 148 149 .. _2D_Smearing:149 .. ZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZZ 150 150 151 151 2D Smearing
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