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Subsections

Multidimensional histograms

The histogram feature is used to record the distribution of a set of collective variables in the form of a N-dimensional histogram. A histogram block may define the following parameters:

As with any other biasing and analysis method, when a histogram is applied to an extended-system colvar ([*]), it accesses the value of the extended coordinate rather than that of the actual colvar. This can be overridden by enabling the bypassExtendedLagrangian option. A joint histogram of the actual colvar and the extended coordinate may be collected by specifying the colvar name twice in a row in the colvars parameter (e.g. colvars myColvar myColvar): the first instance will be understood as the actual colvar, and the second, as the extended coordinate.

Grid definition for multidimensional histograms

Like the ABF and metadynamics biases, histogram uses the parameters lowerBoundary, upperBoundary, and width to define its grid. These values can be overridden if a configuration block histogramGrid { ...} is provided inside the configuration of histogram. The options supported inside this configuration block are:


next up previous contents index
Next: Probability distribution-restraints Up: Biasing and analysis methods Previous: Adaptive Linear Bias/Experiment Directed   Contents   Index
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