Speaker
Renata Kopecna
(CERN)
Description
We present a novel method for sorting events. So far, single variables like multiplicity or flow vector magnitude were used for sorting events. We present a method that takes into account the whole azimuthal angle distribution rather than a single variable. This method studies the angular distribution via the algorithm proposed in [1]. There, the algorithm was initially used for distinguishing good scientific authors from the bad ones using their citation record.
We sort events according to their angular record. The algorithm compares and sorts different azimuthal angle histograms according to their similarity, using the Bayesian concept of probability. It allows us to determine the good measure of the event shape. Its simplicity allows many different ways of event analysis. Moreover, it provides a multiplicity-independent insight.
The algorithm is implemented in a code entitled ESSTER and we present its functionality on simple examples. We discuss the advantages and disadvantages of this approach and the possible usage in femtoscopy and other more exclusive experimental studies.
$[$1$]$ S. Lehmann, A.D.Jackson, B. Lautrup: Measures and Mismeasures of Scientific Quality, Arxiv: physics/0512238
Authors
Boris Tomasik
(Univerzita Mateja Bela (SK))
Renata Kopecna
(CERN)