Speakers
Emmanuel Chauveau
Frédéric Perrot
Description
The **SuperNEMO demonstrator**'s unique design, combining both tracking and
calorimetry techniques, provides essential **topological informations**. Indeed,
fully reconstructing the event kinematics not only allows a powerful background
discrimination but also gives access to a variety of event topologies which can
be used to measure the different background contributions.
The SuperNEMO software relies on a range of algorithms to ensure a faithful
event reconstruction. The improved detector performance for $\gamma$ detection
coupled to new **$\gamma$-reconstruction algorithms**, based on geometrical and
Time-of-Flight criteria, will not only improve the measurements of the
$\gamma$-emitter backgrounds ($^{208}$Tl, $^{214}$Bi...) but also increase the sensitivity
for the search of $\beta\beta$-decays to the excited states.
The poster will also present how the use of topological informations in
**multivariate analysis** could improve the SuperNEMO demonstrator sensitivty, both for
the search of the **neutrinoless double beta decay** and for the background control.
Primary author
Emmanuel Chauveau
Co-author
Steven Calvez
(Laboratoire de l'Accélérateur Linéaire)
