000001096 001__ 1096
000001096 005__ 20180813074426.0
000001096 037__ $$aBELLE2-MTHESIS-2018-004
000001096 041__ $$aspa
000001096 100__ $$aAlejandro De Yta Hernández
000001096 245__ $$aStudy of multivariate techniques in the search of the decay channel $B^{0} \rightarrow D^{-}\pi{-}\mu^{+}\mu^{+}$ at the Belle II experiment
000001096 260__ $$aMexico City$$bCINVESTAV$$c2017
000001096 300__ $$amult. p
000001096 500__ $$aPresented on 17 08 2017
000001096 502__ $$aMSc$$bMexico City, CINVESTAV$$c2017
000001096 520__ $$aIn this work, we apply and compare three different multivariate classification methods based on machine learning techniques in order to study the decay channel B 0 → D − π − μ + μ + in the Bell II experiment, located in the B-factory SuperKEKB. In this channel the total lepton number L is violated by two units, ∆L = 2. Up to now, there is no experimental evidence of this process. However, if measured, it would be a direct proof of the Majorana nature of the neutrinos. The non-observation of this kind of processes can be turned out into important constraints on the Majorana neutrinos masses and mixings parameters. To carry out this study, a Monte Carlo sample of the decay channel of interest was generated using the Basf2 framework.
000001096 700__ $$a Eduard de la Cruz Burelo$$edir.
000001096 8560_ $$falejandro.de.yta.hernandez@desy.de
000001096 8564_ $$uhttps://docs.belle2.org/record/1096/files/BELLE2-MTHESIS-2018-004.pdf
000001096 980__ $$aTHESIS