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It is noted that the magnitude of P(;3') depends on the binding structure of the system prior to the disk k being moved. The transitions involve all three binding states. In the following, we describe the Monte Carlo process.

NOTE: Always ensure that the Windows Application project is selected in Solution Explorer before you work with the Data Sources window

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Step 1. The Monte Carlo simulations for sticky disks also begin with N unbounded disks regularly placed within a unit square without overlapping. To create the oth (initial) realization of random distribution, the periodic particle positions are randomized by using the shuffling method described in Section 2.1.

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Step 2. To generate sticky disks, we do not shuffle the test disk within a small square of [o,~] x [0, ~]. Instead, the disk k makes a transition according to the breaking of its current binding state and the formation of new binding state with other disks. We evaluate the transition probability of particle k. Before changing the test disk k's binding state, we have to build a list of all possible pairs with which the test disk k could form a double-bond. We compute the normalized probabilities P((3/) according to the respective unnormalized total transition probability P(31 for (3/ = 0, 1,2. We also store the array of probabilities for the pair of disks (i, j)

(9.2.45)

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Step 3. A random number generator, between and 1, is used to generate a random number r and compared with the obtained P((3/) of the current system to decide the new binding state of the test disk. Three obvious possibilities are: (3/ = 0, 1,2 corresponding to unbounded, single-bond, and double-bond state, respectively. If r ::; P(O), then (3/ = is chosen. If P(O) < r ::; P(O) + P(l), then (3/ = 1 is chosen. If P(O) + P(l) < r ::; 1, then (3/ = 2 is chosen.

3 Select Data | Show Data Sources from the main menu bar The Data Sources window is displayed 4 Click the Add New Data Source link in the Data Sources window, or click the Add New Data Source button on the Data Sources window toolbar, or select Data | Add New Data Source from the main menu bar

::;

Step 4. The possible new location of disk k, (x~, Y~) is then determined as follows, depending on which (3/ is chosen is Step 3. If (3/ =0, the coordinates (x~, of the test disk is determined using two random number generators, each between and 1, for its x and y coordinates. If (3/ = 1, an integer random number i with equal probabilities, i = 1, 2, ... ,N, i:f- k, is generated to select the potential single-bond candidate disk. A random angle generator, between and 27f, is employed to determine . Then

where (Xi, Yi) are the coordinates of the candidate disk i and d is the diameter of the disk. If (3/ =2, a random number, between and 1, is generated. This is then used to select a candidate pair of disks (i, j) from the established pair-list according to the stored array of probabilities p(2) (i, j) to form a double-bond with the test disk k. For this double-bond state, there are only two choices for the test disk k's locations, either above or below the line as segment joining the centers of disks i and j. Then we determine (x~, follows. Let

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Xj -

This launches the Data Source Con guration Wizard The rst page, shown in Figure 71, allows you to select the source of the data

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