#### SANS@Tools

#### SANS@MLZ

### Useful Links

qtisas

visualisation, reduction, analysis, global fit

**QtiSAS**(previously*QtiKWS*) is the cross-compiled program designed for the graphical visualisation, reduction, analysis, and fit of data produced by a small-angle neutron scattering (SANS) instrument.- but most of tools could be used for data analysis generated by
*any SANS instrument*or*data having nothing to do with SANS*. *QtiPlot*(until 2012) was open source platform independent alternative to proprietary scientific software like*Origin*,*SigmaPlot*,*Regressi*or*Igor Pro*. Several open-source programs like*Scidavis*and*Mantid*are a fork of QtiPlot too.- The numerical routines have been written in
*C/C++*whereas the menu interface has been written in*Qt/C++*. GNU-licensed mathematical library GSL is used for the implementation of mathematical algorithms. - Tables, matrixes, 2D and 3D graphs could be saved as a single project file and easy accessible by the built project explorer.

user-friendly approach for **SANS data reduction**.

- Behind current version there are many years of intensive user- and instrument operation as well as source evolution.

powerful **import/export tool** for the radial averaged datasets.
During the import/export process several actions can be performed on the data:

**convertation to other SAS-presentation**(Guinier, Zimm, Porod, logI, logQ, Debye, 1Moment, 2Momen, Guinier-Rod, Guinier-Disk);**removing blocks**of points at the beginning, end, or inside the q-range, as well as all negative points;- simple
**arithmetic operations**on data can be done; **linear and progressive binning**tools are available;**SANS resolution**column could be added to datasets…

- An advance of the fitting with QtiSAS is the runtime compilation of a fitting function in Fit.Compile.
- Program has possibility to check code of the function, change , and recompile it as a new function.
- The user-friendly interface Fit.Compile allows to create and compile a function of any complexity.
- GSL numerical algorithms could be easily integrated in the function body. The fitting function is written in C/C++, but option of calling of FORTRAN functions is implemented.

- classical fitting of a data set by a mathematical function is realised in the default
**Simply Fit**mode of the fitting interface. - In the
**SANS mode**is allowed to fit a dataset taking into account**polydispersity**[of any parameter of a fitting function] and/or the**instrument resolution**. - Simultaneously fit of several curves with a mixture of global (common) and individual parameters are implemented in
**Global Fit**mode. - Many datasets could be fitted/re-fitted “step-by-step” in
**Batch Fit**(Set-by-Set) mode. This option is especially important for time resolved measurements, when datasets should be analyzed in the same way. - Powerful
**Function Simulator**simplifies the estimation of initial fitting parameters and the presentation of the obtained fitting curve(s).

*TODO*: slowly rest of tools will be ported from QtiKWS to QtiSAS

**Fit.Matrix(s):**Global Fit of Matrix(s)**SANS.Box:**previously*DAN Black Box***Matrix.Calculator:**previously*DANP.ASCII-2D.2D-Calculator***Header.Reader:**previously*DANP.Header.Reader***CSV.Reader:**previously*DANP.CSV.Reader*

qtisas.txt · Last modified: 2021/12/07 15:05 by Vitaliy Pipich