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0001 \page ExampleB01 Example B01
0002
0003 ## Importance sampling
0004
0005 The example uses importance sampling or the weight window technique
0006 according to an input parameter. It uses scoring in both cases.
0007 Importance values or weight windows are defined according to the mass
0008 geometry. In this example the weight window technique is configured such
0009 that it behaves equivalent to importance sampling: The window is actually
0010 not a window but simply the inverse of the importance value and only
0011 one energy region is used that covers all energies in the problem.
0012 The user may change the weight window configuration by changing the
0013 initialization of the weight window algorithm in example,cc.
0014 Different energy bounds for the weight window technique may be specified
0015 in B01DetectorConstruction.
0016
0017 The executable takes one optional argument: 0 or 1. Without argument or
0018 with argument: 0, the importance sampling is applied with argument: 1,
0019 the weight window technique is applied.
0020
0021 See also [Category "biasing"](../../html/Examples_biasing.html) documentation.
0022
