Difference between revisions of "Result estimators"
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#Implicit estimators, based the expected frequency of events | #Implicit estimators, based the expected frequency of events | ||
Implicit estimators are derived from analog estimators, with the purpose of | Implicit estimators are derived from analog estimators, with the purpose of | ||
| − | obtaining better statistics. | + | obtaining better statistics. |
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== Analog estimators == | == Analog estimators == | ||
Revision as of 16:22, 19 November 2015
The Monte Carlo transport simulation is run to obtain statistical estimates for integrals of the form:
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where $f$ is a response function that can be evaluated at an arbitrary position
of the phase space, most typically a reaction cross section. These estimates
are based on the collection of simulated events (collisions, track-lengths,
surface crossings, etc.) that occur during the course of the simulated
random walk.
The estimates can be divided into:
- Analog estimates, based on recorded simulated physical events
- Implicit estimators, based the expected frequency of events
Implicit estimators are derived from analog estimators, with the purpose of obtaining better statistics.
