.. _magnetism: Polarisation/Magnetic Scattering ================================ Spherical Polarimetry in SANS: This description allows for freedom in field/polarisation axis away from the detector plane i.e. allows in-beam direction or AC or rotational fields. For magnetic systems, the scattering length density (SLD = $\beta$) is a combination of the nuclear and magnetic SLD. For polarised neutrons, the resulting effective SLD depends on the spin state of the neutron before and after being scattered in the sample. Models in Sasview, which define a SLD parameter, can be evaluated also as magnetic models introducing the magnetisation (vector) $\mathbf{M}=M (\sin\theta_M \cos \phi_M, \sin \theta_M \sin \phi_M,\cos\theta_M )$ and the associated magnetic SLD given by the simple relation $\beta_M= b_H M$, where $b_H=\dfrac{\gamma r_0}{2\mu_B}=2.7$ fm denotes the magnetic scattering length and $M=\lvert \mathbf{M} \rvert$ the magnetisation magnitude, where $\gamma = -1.913$ is the gyromagnetic ratio, $\mu_B$ is the Bohr magneton, $r_0$ is the classical radius of electron. It is assumed that the magnetic SLD in each region of the model is uniformly for nuclear scattering and has one effective magnetisation orientation The external field $\mathbf{H}=H \mathbf{P}$ coincides with the polarisation axis $\mathbf{P}=(\sin\theta_P \cos \phi_P, \sin \theta_P \sin \phi_P,\cos\theta_P )$ for the neutrons, which is the quantisation axis for the Pauli spin operator. .. figure:: mag_img/M_angles_pic.png .. note:: The polarisation axis at the sample position is the determining factor and determines the scattering geometry. Before and after the field at the sample position, the polarisation turns adiabatically to the guide field of the instrument. This operation does not change the observed spin-resolved scattering at the detector. Anyway the magnetic field is the vector defining a symmetry axis of the system and the magnetisation vector will orient with respect to the field. .. note:: For AC oscillating/rotation field varying in space with time, you can coupling the magnetisation with the field axis via a constrained fit. This will allow to easily parametrise a phase shift of the magnetisation lagging behind a magnetic field varying from time frame to time frame. Anyway the magnetic field is the vector defining a symmetry axis of the system and the magnetisation vector will most often orient symmetrically with respect to the field. The neutrons are polarised parallel (+) or antiparallel (-) to $\mathbf{P}$. One can distinguish 4 spin-resolved cross sections: * Non-spin-flip (NSF) $(+ +)$ and $(- -)$ * Spin-flip (SF) $(+ -)$ and $(- +)$ The spin-dependent magnetic scattering length densities are defined as (see Moon, Riste, Koehler) .. math:: \beta_{M, s_{in} s_{out}} = b_H\sigma \cdot \mathbf{M_\perp} where $\sigma$ is the Pauli spin, and $s_{in/out}$ describes the spin state of the neutron before and after the sample. For magnetic neutron scattering, only the magnetisation component or Halpern-Johnson vector $\mathbf{M_\perp}$ perpendicular to the scattering vector $\mathbf{Q}=q \mathbf{n}=q (\cos\theta, \sin \theta,0)$ contributes to the magnetic scattering: .. math:: \mathbf{M_\perp} = \mathbf{n} [\mathbf{n} \cdot \mathbf{M}] -\mathbf{M} with $\mathbf{n}$ the unit scattering vector and $\theta$ denotes the angle between $\mathbf{Q}$ and the x-axis. .. figure:: mag_img/mag_vector.png The two NSF cross sections are given by .. math:: I^{\pm\pm} = N^2 \mp \mathbf{P}\cdot(N^{\ast}\mathbf{M_\perp} +N\mathbf{M_\perp}^{\ast}) + (\mathbf{P}\cdot \mathbf{M_\perp})^2 and the two SF channels: .. math:: I^{\pm\mp} = \mathbf{M_\perp}\cdot \mathbf{M_\perp} - (\mathbf{P}\cdot \mathbf{M_\perp})^2 \mp i \mathbf{P}\cdot \mathbf{M_\perp} \times \mathbf{M_\perp}^{\ast} with $i=\sqrt{-1}$, and $^{\ast}$ denoting the complex conjugate quantity, and $\times$ and $\cdot$ the vector and scalar product, respectively. The polarisation axis at the sample position is the determining factor and determines the scattering geometry. For the NSF scattering the component of the Halpern-Johnson vector parallel to $P$ contributes .. math:: \mathbf{M}_{\perp,\parallel P } = ( \mathbf{P}\cdot \mathbf{M}_{\perp }) \mathbf{P} The component perpendicular to the polarisation gives rise to SF scattering. The perpendicular plane is constructed with the two vectors .. math:: \mathbf{M}_{\perp,\perp P } = \mathbf{M}_{\perp } - (\mathbf{P}\cdot \mathbf{M}_{\perp }) \mathbf{P} and a third vector perpendicular to both $\mathbf{P}$ and $\mathbf{M}_{\perp,\perp P } $ : .. math:: \mathbf{O} = \mathbf{M}_{\perp} \times \mathbf{P} - \mathbf{M}_{\perp,\perp P } = [\mathbf{n}\cdot(\mathbf{M}\times\mathbf{P})(\mathbf{n}-\mathbf{P}\times\mathbf{n})] For symmetric, collinear spin structures ($\mathbf{M}_{\perp}^{\ast}=\mathbf{M}_{\perp}^{\ast}$), $\mathbf{O}\cdot \mathbf{O}^{\ast}=0$ since $\mathbf{M}_{\perp} \times \mathbf{P} \cdot \mathbf{M}_{\perp} \times \mathbf{P} = \mathbf{M}_{\perp,\perp P }$. Depending on the spin state of the neutrons, the scattering length densities, including the nuclear scattering length density $(\beta{_N})$ are for the non-spin-flip states .. math:: \beta_{\pm\pm} = \beta_N \mp b_H \mathbf{P}\cdot \mathbf{M}_{\perp } and for spin-flip states .. math:: \beta_{\pm\mp} = -b_H (\lvert\mathbf{M}_{\perp,\perp P }\rvert \pm i \mathbf{n}\cdot (\mathbf{M}\times \mathbf{P} (1-\mathbf{P}\cdot\mathbf{n})) with .. math:: \lvert\mathbf{M}_{\perp,\perp P }\rvert= (\mathbf{M}_{\perp,\perp P } \cdot \mathbf{M}_{\perp,\perp P })^{1/2} =(M_{\perp,x}^2+M_{\perp,y}^2+M_{\perp,z}^2-(M_{\perp,x} P_x+ M_{\perp,y} P_y + M_{\perp,z} P_z )^2 )^{1/2}. Every magnetic scattering cross section can be constructed from an incoherent mixture of the 4 spin-resolved spin states depending on the efficiency parameters before ($u_i$) and after ($u_f$) the sample. For a half-polarised experiment(SANSPOL with $u_f=0.5$) or full (longitudinal) polarisation analysis, the accessible spin states are measured independently and a simultaneous analysis of the measured states is performed, tying all the model parameters together except $u_i$ and $u_f$, which are set based on the (known) polarisation efficiencies of the instrument. .. note:: The values of the 'up_frac_i' ($u_i$) and 'up_frac_f' ($u_f$) must be in the range 0 to 1. The parameters 'up_frac_i' and 'up_frac_f' can be easily associated to polarisation efficiencies 'e_in/out' (of the instrument). Efficiency values range from 0.5 (unpolarised beam) to 1 (perfect optics). For 'up_frac_i/f' <0.5 a cross section is constructed with the spin reversed/flipped with respect to the initial supermirror polariser. The actual polarisation efficiency in this case is however 'e_in/out' = 1-'up_frac_i/f'. The user input parameters are: =========== ================================================================ sld_M0 $b_H M_0$ sld_mtheta $\theta_M$ sld_mphi $\phi_M$ up_frac_i $u_i$ polarisation efficiency *before* the sample up_frac_f $u_f$ = polarisation efficiency *after* the sample p_theta $\theta_P$ p_phi $\phi_P$ =========== ================================================================ .. note:: P.S. of Dirk: This is the most general description of magnetic SANS ever written and will supersede prior art! Works for fully magnetically saturated systems. If you figure out how to implement an isotropic ensemble of particle magnetisation ( similar for orientations). This is needed to generate two populations with spin pointing in opposite directions in order to describe field-dependence correctly, i.e. the different variation of mean magnetisation vs square mean quantities. With proper generalised orientation distribution, you cover all "normal" use cases (except of the fancy stuff one have to simulate). References ---------- .. [#] R. M. Moon and T. Riste and W. C. Koehler, *Phys. Rev.*, 181 (1969) 920. *Document History* | 2015-05-02 Steve King | 2017-11-15 Paul Kienzle | 2018-06-02 Adam Washington | 2019-03-29 Dirk Honecker