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.