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| This is part of the multicolvar module |
This quantity can be used to calculate functions of the distribution of collective variables for the atoms that lie in a particular, user-specified part of of the cell.
Each of the base quantities calculated by a multicolvar can can be assigned to a particular point in three dimensional space. For example, if we have the coordination numbers for all the atoms in the system each coordination number can be assumed to lie on the position of the central atom. Because each base quantity can be assigned to a particular point in space we can calculate functions of the distribution of base quantities in a particular part of the box by using:
\[ \overline{s}_{\tau} = \frac{ \sum_i f(s_i) w(x_i,y_i,z_i) }{ \sum_i w(x_i,y_i,z_i) } \]
where the sum is over the collective variables, \(s_i\), each of which can be thought to be at \( (x_i,y_i,z_i)\). The function \( w(x_i,y_i,z_i) \) measures whether or not the system is in the subregion of interest. It is equal to:
\[ w(x_i,y_i,z_i) = \int_{xl}^{xu} \int_{yl}^{yu} \int_{zl}^{zu} \textrm{d}x\textrm{d}y\textrm{d}z K\left( \frac{x - x_i}{\sigma} \right)K\left( \frac{y - y_i}{\sigma} \right)K\left( \frac{z - z_i}{\sigma} \right) \]
where \(K\) is one of the kernel functions described on histogrambead and \(\sigma\) is a bandwidth parameter. The function \((s_i)\) can be any of the usual LESS_THAN, MORE_THAN, WITHIN etc that are used in all other multicolvars.
When AROUND is used with the DENSITY action the number of atoms in the specified region is calculated
When the label of this action is used as the input for a second you are not referring to a scalar quantity as you are in regular collective variables. The label is used to reference the full set of quantities calculated by the action. This is usual when using MultiColvar functions. Generally when doing this the previously calculated multicolvar will be referenced using the DATA keyword rather than ARG.
This Action can be used to calculate the following scalar quantities directly. These quantities are calculated by employing the keywords listed below. These quantities can then be referenced elsewhere in the input file by using this Action's label followed by a dot and the name of the quantity. Some of them can be calculated multiple times with different parameters. In this case the quantities calculated can be referenced elsewhere in the input by using the name of the quantity followed by a numerical identifier e.g. label.lessthan-1, label.lessthan-2 etc. When doing this and, for clarity we have made it so that the user can set a particular label for each of the components. As such by using the LABEL keyword in the description of the keyword input you can customize the component name
| Quantity | Keyword | Description |
| vmean | VMEAN | the norm of the mean vector. The output component can be referred to elsewhere in the input file by using the label.vmean |
| between | BETWEEN | the number/fraction of values within a certain range. This is calculated using one of the formula described in the description of the keyword so as to make it continuous. You can calculate this quantity multiple times using different parameters. |
| lessthan | LESS_THAN | the number of values less than a target value. This is calculated using one of the formula described in the description of the keyword so as to make it continuous. You can calculate this quantity multiple times using different parameters. |
| mean | MEAN | the mean value. The output component can be referred to elsewhere in the input file by using the label.mean |
| morethan | MORE_THAN | the number of values more than a target value. This is calculated using one of the formula described in the description of the keyword so as to make it continuous. You can calculate this quantity multiple times using different parameters. |
| sum | SUM | the sum of values |
| ATOM | the atom whose vicinity we are interested in examining. For more information on how to specify lists of atoms see Groups and Virtual Atoms |
| DATA | The multicolvar that calculates the set of base quantities that we are interested in |
| SIGMA | the width of the function to be used for kernel density estimation |
| KERNEL | ( default=gaussian ) the type of kernel function to be used |
| XLOWER | ( default=0.0 ) the lower boundary in x relative to the x coordinate of the atom (0 indicates use full extent of box). |
| XUPPER | ( default=0.0 ) the upper boundary in x relative to the x coordinate of the atom (0 indicates use full extent of box). |
| YLOWER | ( default=0.0 ) the lower boundary in y relative to the y coordinate of the atom (0 indicates use full extent of box). |
| YUPPER | ( default=0.0 ) the upper boundary in y relative to the y coordinate of the atom (0 indicates use full extent of box). |
| ZLOWER | ( default=0.0 ) the lower boundary in z relative to the z coordinate of the atom (0 indicates use full extent of box). |
| ZUPPER | ( default=0.0 ) the upper boundary in z relative to the z coordinate of the atom (0 indicates use full extent of box). |
| NUMERICAL_DERIVATIVES | ( default=off ) calculate the derivatives for these quantities numerically |
| NOPBC | ( default=off ) ignore the periodic boundary conditions when calculating distances |
| SERIAL | ( default=off ) do the calculation in serial. Do not use MPI |
| LOWMEM | ( default=off ) lower the memory requirements |
| TIMINGS | ( default=off ) output information on the timings of the various parts of the calculation |
| OUTSIDE | ( default=off ) calculate quantities for colvars that are on atoms outside the region of interest |
| VMEAN | calculate the norm of the mean vector. The final value can be referenced using label.vmean. You can use multiple instances of this keyword i.e. VMEAN1, VMEAN2, VMEAN3... The corresponding values are then referenced using label.vmean-1, label.vmean-2, label.vmean-3... |
| MEAN | take the mean of these variables. The final value can be referenced using label.mean. You can use multiple instances of this keyword i.e. MEAN1, MEAN2, MEAN3... The corresponding values are then referenced using label.mean-1, label.mean-2, label.mean-3... |
| LESS_THAN | calculate the number of variables less than a certain target value. This quantity is calculated using \(\sum_i \sigma(s_i)\), where \(\sigma(s)\) is a switchingfunction. The final value can be referenced using label.lessthan. You can use multiple instances of this keyword i.e. LESS_THAN1, LESS_THAN2, LESS_THAN3... The corresponding values are then referenced using label.lessthan-1, label.lessthan-2, label.lessthan-3... |
| MORE_THAN | calculate the number of variables more than a certain target value. This quantity is calculated using \(\sum_i 1.0 - \sigma(s_i)\), where \(\sigma(s)\) is a switchingfunction. The final value can be referenced using label.morethan. You can use multiple instances of this keyword i.e. MORE_THAN1, MORE_THAN2, MORE_THAN3... The corresponding values are then referenced using label.morethan-1, label.morethan-2, label.morethan-3... |
| BETWEEN | calculate the number of values that are within a certain range. These quantities are calculated using kernel density estimation as described on histogrambead. The final value can be referenced using label.between. You can use multiple instances of this keyword i.e. BETWEEN1, BETWEEN2, BETWEEN3... The corresponding values are then referenced using label.between-1, label.between-2, label.between-3... |
| HISTOGRAM | calculate how many of the values fall in each of the bins of a histogram. This shortcut allows you to calculates NBIN quantities like BETWEEN. The final value can be referenced using label.histogram. You can use multiple instances of this keyword i.e. HISTOGRAM1, HISTOGRAM2, HISTOGRAM3... The corresponding values are then referenced using label.histogram-1, label.histogram-2, label.histogram-3... |
| SUM | calculate the sum of all the quantities. The final value can be referenced using label.sum. You can use multiple instances of this keyword i.e. SUM1, SUM2, SUM3... The corresponding values are then referenced using label.sum-1, label.sum-2, label.sum-3... |
The following commands tell plumed to calculate the average coordination number for the atoms that have x (in fractional coordinates) within 2.0 nm of the com of mass c1. The final value will be labeled s.mean.
COM ATOMS=1-100 LABEL=c1 COORDINATIONNUMBER SPECIES=1-100 R_0=1.0 LABEL=c AROUND DATA=c ATOM=c1 XLOWER=-2.0 XUPPER=2.0 SIGMA=0.1 MEAN LABEL=s
1.8.14