bug fixes

doc/manual/DatenRed.tex

@@ -29,7 +29,7 @@ \section{Correction and Normalization of SANS-Raw data}
 \item scattering of the isolated sample $I_S$
 \end{enumerate}
 Furthermore the detector elements can have different efficiencies $\epsilon_i$.
-To determine the differential cross-section of of the sample all the different
+To determine the differential cross-section of the sample all the different
 contribution to the total scattering intensity have to be considered and determined
 separately by different measurements. The quantity to be known is the scattering
 contribution of the isolated sample $I_S$, which in general can not be measured directly.

doc/manual/SASfit_absInt.tex

@@ -71,7 +71,7 @@ \section{Fitting absolute intensities}
 For fitting a form factor to experimental data one needs next to the size parameter also a
 scaling parameter. For the simplest case this is done by choosing as a distribution function
 \texttt{Delta}. \texttt{Delta} simply multiplies a constant value $N$ to the form factor.
-The meaning and the unit of $N$ now depends on the unit of the cross-section, wether it is
+The meaning and the unit of $N$ now depends on the unit of the cross-section, whether it is
 normalized or not normalized on the sample volume. \SASfit calculates in the case of
 a form factor of \texttt{Sphere} with \texttt{Delta} as a distribution function
 \begin{align}
@@ -339,7 +339,7 @@ \section{Moments of scattering curves and size distribution}
 values for each scattering contribution having a size distribution
 and also for the sum of all scattering contributions. Next to the
 integral structural parameters also the different moments of the
-size distribution up the the $8^\textrm{th}$ moment are supplied.
+size distribution up the $8^\textrm{th}$ moment are supplied.
 
 \section{Volume fractions}
 \label{sec:volumefraction}

doc/manual/SASfit_ch2_EllipsoidalObj.tex

@@ -210,7 +210,7 @@ \subsection{triaxial ellipsoidal core shell structure}
 \begin{center}
 \includegraphics[width=0.768\textwidth,height=0.588\textwidth]{../images/form_factor/Ellipsoid/triax_ellipsoidal_core_shell.png}
 \end{center}
-\caption{Form factor of an triaxial ellipsoidal core shell with semi
+\caption{Form factor of a triaxial ellipsoidal core shell with semi
 axis $a$, $b$ and $c$ and a shell thickness $t$.}
 \label{fig:I_triax_ellipsoidal_core_shell}
 \end{figure}

doc/manual/SASfit_ch2_cylindricalObj.tex

@@ -131,7 +131,7 @@ \subsection{Porod's approximation for a long cylinder \cite{Porod1948}}
 \includegraphics[width=0.668\textwidth,height=0.488\textwidth]{../images/form_factor/cylindrical_obj/LongCylinder.png}
 \end{center}
 \caption{Scattering intensity of a cylinder with radius $R=10$ nm and lengths of $L=20$ nm
-and $L=50$ nm. Next to Porod's axproximation for long cylinders also
+and $L=50$ nm. Next to Porod's approximation for long cylinders also
 the exact integral solution is shown for comparison.
 The scattering length density contrast is set to 1.}
 \label{fig:LongCylinder}
@@ -183,7 +183,7 @@ \subsection{Porod's approximation for a flat cylinder \cite{Porod1948}}
 \includegraphics[width=0.668\textwidth,height=0.488\textwidth]{../images/form_factor/cylindrical_obj/FlatCylinder.png}
 \end{center}
 \caption{Scattering intensity of a cylinder with radius $R=10$ nm and lengths of $L=2$ nm
-and $L=20$ nm. Next to Porod's axproximation for flat cylinders also
+and $L=20$ nm. Next to Porod's approximation for flat cylinders also
 the exact integral solution is shown for comparison.
 The scattering length density contrast is set to 1.}
 \label{fig:FlatCylinder}
@@ -233,7 +233,7 @@ \subsection{Porod's approximations for cylinder \cite{Porod1948}}
 \includegraphics[width=0.55\textwidth,height=0.4\textwidth]{../images/form_factor/cylindrical_obj/PorodCylinder.png}
 \end{center}
 \caption{Scattering intensity of a cylinder with radius $R=10$ nm and lengths of $L=2$ nm,
-$L=20$ nm, and $L=50$ nm. Next to Porod's axproximation for a cylinders also
+$L=20$ nm, and $L=50$ nm. Next to Porod's approximation for a cylinders also
 the exact integral solution is shown for comparison.
 The scattering length density contrast is set to 1.}
 \label{fig:PorodCylinder}
@@ -552,7 +552,7 @@ \subsection{partly aligned cylindrical shell \cite{Hayter1984}}
 \begin{align}
 p(\theta) & = \sum_{l=0,even}^\infty \frac{2l+1}{2} \left\langle P_l\right\rangle\, P_l(\cos(\theta))
 \end{align}
-Due to the symmetrie $p(\theta)=p(\pi-\theta)$ all terms with odd values for $l$ are zero and only the
+Due to the symmetry $p(\theta)=p(\pi-\theta)$ all terms with odd values for $l$ are zero and only the
 even terms needs to be considered. For this form factor the first three terms up to $l=6$ are implemented.
 As $\int_0^\pi p(\theta) \sin\theta \, d\theta =1$ the zero order parameter is one $\left\langle P_0 \right\rangle=1$.
 

doc/manual/SASfit_ch2_otherObj.tex

@@ -6,8 +6,8 @@ \subsection{DLS\_Sphere\_RDG}  ~\\
 signal $g_2(t)-1 = g_1^2(t)$ of a DLS (dynamic light scattering)
 measurement. The $Q$ dependent contribution to the relaxation
 signal by particles of different radius $R$ is considered by
-weighting $g_2(t)-1$ with the form factor of sperical particles in
-Raylay-Debye-Gans approximation:
+weighting $g_2(t)-1$ with the form factor of spherical particles in
+Rayleigh-Debye-Gans approximation:
 \begin{align}
    I_\text{DLS\_Sphere\_RDG} (t,\eta,T,Q) &=  \int\limits_0^\infty N(R) \; K^2_\text{sp}(Q,R)
    \: e^{-D Q^2t} \; dR
@@ -272,8 +272,8 @@ \subsection{SuperParStroboPsi}  ~\\
 magnetic field due to phase shifts in the amplifier.
 If the neutron polarization can follow adiabatically the varying magnetic field needs to be verified
 experimentally. Therefore we introduce here a parameter $a_\text{ad} \in [0;1]$ which takes into account
-wether ($a_\text{ad}=1$) or not ($a_\text{ad}=0$) the neutron spin adiabatically follows the change
-of of magnetic field direction ($\text{sgn}(B(t))$).
+whether ($a_\text{ad}=1$) or not ($a_\text{ad}=0$) the neutron spin adiabatically follows the change
+of magnetic field direction ($\text{sgn}(B(t))$).
 \begin{align}
 \BM{r}_\text{ad} =
 \left(

doc/manual/SASfit_ch2_polymers_micelles.tex

@@ -10,7 +10,7 @@ \subsection{Gaussian chain}
 \includegraphics[width=0.744\textwidth,height=0.823\textwidth]{Walk3d_0.png}
 \end{center}
 \caption{The underlying model for a polymer chain is an
-isotropic random walk on the euclidean lattice $\mathbb{Z}^3$.
+isotropic random walk on the Euclidean lattice $\mathbb{Z}^3$.
 This picture shows three different walks after 10 000 unit steps,
 all three starting from the origin. \label{fig:RandomWalk3D}}
 \end{figure}
@@ -99,7 +99,7 @@ \subsection{Gaussian chain}
 
 \SASfit has implemented the generalized form of a Gaussian (\texttt{generalized Gaussian coil}) coil and the standard
 Debye formula \texttt{Gauss}. In both cases three version are implemented which only differ in their parametrization of
-the forward scattering. In case of the the Debye-formula also the polydisperse \texttt{GaussPoly} is implemented.
+the forward scattering. In case of the Debye-formula also the polydisperse \texttt{GaussPoly} is implemented.
 
 \textcolor[rgb]{1.00,1.00,1.00}{Gauss}\\
 \subsubsection{Gauss \cite{Debye1947}}
@@ -212,7 +212,7 @@ \subsubsection{Polydisperse flexible polymers with Gaussian statistics \cite{Ped
 \end{figure}
 
 \textcolor[rgb]{1.00,1.00,1.00}{Gauss}\\
-\subsubsection{generalalized Gaussian coil \cite{Hammouda,Hammouda2012,Hammouda1993,Hammouda2016}}
+\subsubsection{generalized Gaussian coil \cite{Hammouda,Hammouda2012,Hammouda1993,Hammouda2016}}
 \label{sect:generalized_gaussian_coil}
 ~\\
 The scattering function for the generalized Gaussian coil is according to eq.\ \ref{eq:generalizedGauss}

doc/manual/SASfit_ch3.tex

@@ -156,7 +156,7 @@ \subsection{van der Waals one-fluid approximation}
 \label{sec:SQvdW1}
 ~\\
 This approximation is similar to the scaling approximation introduced by Gazzillo
-et al. \cite{Gazzillo1999}. The exact formular is given by
+et al. \cite{Gazzillo1999}. The exact formula is given by
 %\begin{subequations}
 \begin{align}
 \frac{d\sigma_i}{d\Omega}(Q) =

doc/manual/SASfit_history.tex

@@ -1,5 +1,10 @@
 \appendix{History}
 \begin{description}
+\item[201x-xx-xx] \SASfit 0.94.10
+    \begin{itemize}
+    \item bug fix in the algorithm for calculating the resolution parameter in case of averaging neighbouring data points
+    \item plugin implementation of several variants of helices
+    \end{itemize}
 \item[2017-08-16] \SASfit 0.94.9
     \begin{itemize}
     \item changed scaling of SESANS correlation functions by factor $1/(2\pi)^2$

doc/manual/SASfit_pluginsFF_anisotropic.tex

@@ -726,11 +726,11 @@ \subsubsection{P'(Q): Kholodenko's worm} ~\\
 \label{fig:KholodenkoWorm}
 \end{figure}
 
-By using the analogy between Dirac’s fermions
+By using the analogy between Dirac's fermions
 and semi-flexible polymers
 Kholodenko \cite{kholodenko93} could give a simple expression for the
 scattering behaviour of wormlike structures. The form factor $P_0(Q)$ resulting
-from Kholodenko’s approach is designed to reproduce
+from Kholodenko's approach is designed to reproduce
 correctly the rigid-rod limit and the random-coil limit.
 Defining $x = 3L/l_b$ ($L$: contour length, $l_b$: Kuhn length), it is given by
 \begin{align}