08.02.2018; Vortrag

Zbigniew Was: Lessons from Machine Learning of Higgs CP measurements in H -> tautau; tau ->3pi nu, for the TauSpinner algorithm and 'truth' simulation of leptons

Institutsseminar
15:00 - 16:00 Uhr
ASB, E19
Zellescher Weg 19
01069 Dresden
Zbigniew Was [Krakow IFJ PAN]

In recent papers  we have looked for the Higgs CP parity measurement in  the cascade decay H --> tau+tau- ; tau+- --> 3(2)pi nu. The sensitive observable is of multi dimensional nature. Machine learning approach enabled to nicely integrate information available in each kinematical variable into valid estimator. To start the design and to confirm correctness of the estimate, weighted event sample was used. For that purpose, the TauSpinner algorithm was  used. This result of interest in itself, underline importance for future Monte Carlo programs to emulate fully differential distributions. Comments in context of the observables relying on precisely reconstructed leptons will be made.

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Joany Manjarres Ramos
Letzte Änderung: 13.11.2017