A probability is calculated for each variable by comparing the observed value with expected distributions obtained from Monte Carlo events. The likelihood L is calculated as the product of these probabilities. Using the same approach a likelihood is also calculated for the event being a background event (L ). A relative likelihood is then calculated for the event. For example, the relative likelihood that the event is a would be:
(5.1) |
Where is the expected ratio of preselected background to signal cross-sections calculated from Monte Carlo. Events with are selected as events and those with are selected as events. Events can be selected as both of these. The combination of preselection and likelihood selection rejects over 99.5% of the background and is approximately 90% efficient for and events.