Speaker
Description
Obtaining quality physics results requires high-statistics
data with low background contamination. The task of maximizing
the signal as well as accurate estimation of combinatorial background
is especially important at the start-up of the experiment when the
amount of data is rather limited. The MPD experiment at the NICA collider
will have to deal with such issues in its first run.
In the talk, the task of reconstruction of lambda hyperons with their
weak decay into a proton and a negative pion is considered using
Monte Carlo generated event sample of central Au + Au collisions at
\sqrt{s_{NN}} = 9 GeV. Two approaches for evaluating the combinatorial
beckground in the invariant mass spectra of decay products are presented:
like-sign pair combinations and event mixing.
Background-subtracted and efficiency-corrected hyperon distributions
are presented demonstrating the MPD performance in the future collider
run.
