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- | * in [[image_preview]] | + | * In [[joining]] - new topic from [[fitting]] |
- | Upload | + | * In [[cloning]] |
- | ---- | ||
- | * in [[table from curves]] | ||
- | Upload new screenshot of Table from curves | + | |
- | ---- | + | * about changing curves order by dragging |
- | | + | * about adjusting parameters with mouse wheel |
+ | * fit has not converged, suspicious curve | ||
- | Extract ' | ||
- | Create subsection ' | ||
- | ---- | ||
- | * in [[guess peaks]] | ||
- | ====== Guess Peaks (Pro only) ====== | ||
- | MagicPlot can approximately locate peaks in spectrum. To locate peaks click on '' | ||
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- | While '' | ||
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- | {{: | ||
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- | ===== Smoothing of Data and 2nd Derivative ===== | ||
- | Smoothing is used in order to filter narrow peaks which can be guessed from noise. MagicPlot peak guess tool is capable to smooth both data and second derivative before finding local minimums. Smoothing is used only to find peaks and does not affect the data on Fit Plot. | ||
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- | [[wp> | ||
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- | ===== The Number of Peaks ===== | ||
- | MagicPlot sorts found peaks by amplitude and suggests only a specified number of greatest peaks. You can change the number of guessed peaks with slider or by entering value in the text field with spinner. | ||
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- | ---- | ||
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- | * in [[spline]] | ||
- | ====== Using Spline for Baseline Subtraction (Pro only) ====== | ||
- | You can use cubic spline to fit and subtract baseline on Fit Plot. To create spline curve click on '' | ||
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- | Don't use splines to subtract baselines which can be good fitted by line curve (line or constant baseline). You can subtract wide peaks by mistake using spline. | ||
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- | ===== Editing Spline ===== | ||
- | Created spline has 3 anchor points by default. You can move, add and remove anchor points: | ||
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- | * Move anchor point with mouse | ||
- | * Double click on spline curve to add new anchor point | ||
- | * Double click on anchor point to remove it | ||
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- | {{: | ||
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- | ===== Fitting with Spline ===== | ||
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- | Spline anchor point (//x//, //y//) coordinates are treated as fit parameters so you can perform fitting by spline. Note that the anchor point coordinates will be varied but the number of point will remain. You also can lock some parameters (usually //x// coordinates) by setting '' | ||
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- | It is recommended to set appropriate fit intervals which contains only baseline without peaks. In such case '' | ||
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- | Set '' | ||
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- | {{: | ||
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- | ---- | ||
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- | * in [[interval statistics]] | ||
- | ====== Integrals and Statistics on Intervals ====== | ||
- | Setting intervals in '' | ||
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- | MagicPlot is capable to integrate data on selected intervals and to calculate peak moments (x mean, variance, skewness, kurtosis). Spectrum line is treated as probability distribution curve: //x// values are treated as ' | ||
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- | Statistical data and integrals are automatically updated if //x// or //y// data is changed or intervals are changed. | ||
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- | {{: | ||
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- | All statistical data is summarized in the intervals table: | ||
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- | {{: | ||
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- | ===== Managing Intervals ===== | ||
- | Move interval borders with mouse. Double click on interval to split it at desired position. Right click opens context menu from which new intervals can be created on free space and existing intervals can be deleted or split. | ||
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- | ===== Relative Integrals Calculation ===== | ||
- | MagicPlot is capable of calculation relative integrals to compare the relative intensity of spectrum lines. To compute relative integrals set '' | ||
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- | ===== Formulas ===== | ||
- | ^ Property | ||
- | | Integral | Calculated using \\ [[integration|Trapezoidal rule]] | | ||
- | | X Mean (expected value) | <m>mu = nu_1</ | ||
- | | Variance | < | ||
- | | Standard deviation | < | ||
- | | Skewness | < | ||
- | | Kurtosis | < | ||
- | | Y Sum | <m>s = sum{k}{}{y_k}</ | ||
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- | Intermediate values are calculated as follows: | ||
- | ^ Property | ||
- | | Raw moments | < | ||
- | | Normalization coefficient | <m>s = sum{k}{}{y_k}</ | ||
- | | Central moments | < | ||
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- | ---- | ||
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- | * in [[table]] | ||
- | Upload new menu screenshot | ||
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- | ===== Displaying Column Formulas in Table ===== | ||
- | MagicPlot indicates columns for which formulas or other evaluators (FFT, integral, etc.) are set with blue header color. You can see the formula in column header tool tip. | ||
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- | {{: | ||
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- | On the screenshot above: | ||
- | * Column A has no formula | ||
- | * Column B has formula, auto recalculation is off | ||
- | * Column C has formula, auto recalculation is on, so this column is not editable | ||
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- | ===== Fit Column Widths ===== | ||
- | To fit the width of one column double click on right separator line in table header. To fit selected columns widths double click one of column separators in table header. | ||
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- | ---- | ||
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- | * in [[transform xy]] | ||
- | ====== Transform X or Y Column (Pro only) ====== | ||
- | You can quick transform X or Y data on Fit Plot by using '' | ||
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- | ---- | ||
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- | * in [[shift_curves]] | ||
- | '' | ||
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- | {{: | ||
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- | ---- | ||
- | * in [[fft]] | ||
- | Upload new screenshot, update formulas | ||
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- | ---- | ||
- | * in [[calculator]] | ||
- | Update screenshot. | ||
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- | MagicPlot can be minimized to task bar while Calculator window can be still on top | ||
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- | ---- | ||
- | * in [[fit equations]] | ||
- | ====== Fit Curves Types ====== | ||
- | This is the table of predefined fit curves. | ||
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- | ^ Name ^ Formula ^ Additional Properties ^ | ||
- | | Line | <m>y = a x + b</m> | | | ||
- | | Parabola | <m>y = a x^2 + b x + c</m> | Vertex: \\ < | ||
- | | Gaussian | <m>y = a exp(−ln 2 ({x−x_0}/ | ||
- | | Gaussian-A \\ (normalized) | <m>y = sqrt({ln 2} / pi) ~ a / dx exp(−ln 2 ({x−x_0}/ | ||
- | | Lorentzian | <m>y = a 1 / {1 + ({x−x_0} / dx)^2}</ | ||
- | | Lorentzian-A \\ (normalized) | <m>y = a / {dx pi} 1 / {1 + ({x−x_0} / dx)^2}</ | ||
- | | Gauss Derivative | <m>y = −2 ln 2 {a (x−x_0)} / {dx^2} exp(−ln 2 ({x−x_0}/ | ||
- | | Lorentz Derivative | < |