.. include:: /substitutions.rst .. _r-factor_calculation: ============== The |R factor| ============== The reliability factor (|R factor|) is a measure for the deviation between two |IV| curves or two sets of |IV| curves. Structure optimization (\ :ref:`search<sec_search>` or :ref:`fdoptimization` sections) minimizes the |R factor| between the calculated and experimental |IV| curves. As the comparison of two curves is not an unambiguous task, multiple |R factor| implementations exist. The :ref:`RFACTORTYPE` parameter can be set in the :ref:`PARAMETERS` file to choose between Pendry's |R factor| |RP| :cite:p:`pendryReliabilityFactorsLEED1980` and :math:`R_2` :cite:p:`spornAccuracyQuantitativeLEED1998`: - |RP| compares the logarithmic derivatives of the |IV| data, using a fix for the divergence of the logarithm when the intensity approaches zero. - :math:`R_2` is based on the mean square difference of the |IV| curves (after appropriate scaling). .. note:: Using |RP| is the **default setting** and highly encouraged since tests have shown that it leads to better results than :math:`R_2` :cite:p:`spornAccuracyQuantitativeLEED1998`. .. _pendry_r: The Pendry |R factor| --------------------- The Pendry |R factor|, |RP|, can have values between 0 and 2 and is defined as :cite:p:`pendryReliabilityFactorsLEED1980,heinzElectronBasedMethods2013` .. math:: :label: eq_RP_def R_{\mathrm{P}} = \frac{\displaystyle\sum\nolimits_\mathbf{g}{\int{\mkern-5mu\left(Y^\mathrm{theo}_\mathbf{g}(E) - Y^\mathrm{exp}_\mathbf{g}(E) \right)^2 dE }}}{\displaystyle\sum\nolimits_\mathbf{g}{\int{\mkern-5mu\left(Y^\mathrm{theo}_\mathbf{g}(E)^2 + Y^\mathrm{exp}_\mathbf{g}(E)^2\right) dE}}}, where :math:`\mathbf{g}` indexes the beams for which the |R factor| is calculated, and :math:`Y(E)` is the Pendry :math:`Y` function. The |R factor| can be calculated for all beams together or for each beam individually.\ [1]_ The :math:`Y` functions in Eq. :eq:`eq_RP_def` are computed from the beam intensities :math:`I(E)`, their derivatives :math:`I'(E)=\frac{dI}{dE}`, and the imaginary part of the inner potential |V0i| (see parameter :ref:`V0_imag`) as .. math:: :label: eq_Y_def Y(E) = \frac{I(E)/I'(E)}{[I(E)/I'(E)]^2 + V_{0\mathrm{i}}^2}. The beam intensities enter Eq. :eq:`eq_Y_def` via their logarithmic derivative :math:`\frac{d}{dE}\big(\ln{I(E)}\big) = \frac{I'(E)}{I(E)}`. This makes the Pendry |R factor| insensitive to differences in the absolute intensities of the |IV| curves. The largest contributions to |RP| come from differences in the *positions* of extrema, especially *minima*. An |RP| value of zero corresponds to perfect agreement between curves. |RP| equals one for statistically uncorrelated data, while values larger than one indicate anticorrelation. For close-packed surfaces, |RP| values larger than 0.2 indicate a problem, such as an incorrect structural model. |R factor|\ s for more open, corrugated surfaces, such as missing-row-reconstructed Pt(110), may be around 0.2. |RP| values larger than 0.25–0.30 should be taken as an indication of poor correspondence between calculated and experimental beams. The best values of |RP| obtained by the `Erlangen group <https://www.fkp.physik.nat.fau.eu/research-schneider/>`__ are below 0.05.\ [2]_ Note that some smoothing algorithms applied to both experimental and calculated beams, such as the one suggested by :cite:t:`pendryReliabilityFactorsLEED1980`, artificially reduce the |R factor|, because they effectively raise the minima of the |IV| curves. At minima, where the intensities approach zero, |RP| is especially sensitive to small differences; artificially increasing the intensity at minima thus gives smaller |RP| values. Some LEED programs apply such a smoothing; in those cases smaller |R factor|\ s than those obtained with ViPErLEED will be reported, but this does not indicate a better agreement between calculated and experimental |IV| curves. .. todo:: Refer to issue where we have discussed this (viperleed-betatest #8, after moving it to main. By default, ViPErLEED applies no additional smoothing when calculating the |R factor| (e.g., during structure optimization). Thus, the :ref:`EXPBEAMS` file should already contain smoothed data. .. tip:: We highly recommend to smooth experimental data beforehand using the |IV|-curve editor of the :ref:`imagej_plugins`. Using the :ref:`RFACTORSMOOTH` parameter for smoothing the experimental |IV| curves is discouraged, as the smoothing algorithm applied there is inferior to that used by the |IV|-curve editor. .. [1] Notice that the Pendry |R factor| between two sets of beams is not the average of the |R factor|\ s between beam pairs, as sums over all beams enter both the numerator and the denominator in Eq. :eq:`eq_RP_def`. .. [2] Unpublished data by Lutz Hammer and coworkers.