Machine induced backgrounds on the SuperB detector

par Dr Luis Alejandro Perez

mercredi 7 mars 2012, 11:00 → 13:00 Europe/Paris

The recent financial approval of the SuperB project open new possibilities for the flavor physics program. The new SuperB final focusing scheme for the e+e- collider will increase the instantaneous luminosity by two orders of magnitude, passing from 10^34 to 10^36 cm^-2 s^-1. This experiment will be built at a new laboratory on the Tor Vergata campus near Rome, Italy named after Nicola Cabibbo. The main focus of the physics programme rests in the study of so-called Golden Modes, these are decay channels that provide access to measurements of theoretically clean observables that can provide both stringent constraints on models of NP, and precision tests of the SM. The NP sensitive observables that SuperB will measure are complementary, and in many cases competitive, to those accessible by LHCb. Only by measuring the full set of observables at e+e- and hadron colliders (LHC) will be able to optimally elucidate details of the flavor structure at high energy. SuperB will play a crucial role in defining the landscape of flavour physics over the next 20 years. The much higher collision rate of SuperB needs a careful evaluation of the machine-related backgrounds, which is one of the leading challenges in designing the SuperB detector. Background considerations influence several aspects of the design: readout segmentation, electronics shaping time, data transmission rate, triggering and radiation hardness. With the proposed collider design, the primary sources of background are the beam-beam interaction, radiative Bhabha and pairs production and Touschek scattering. These sources give rise to primary particles that can either hit the detector directly, or generate secondary debris that enters the apparatus. I will report on the different sources of background that have been simulated within a detailed Geant4 model of the detector and beam-line to estimate their impact on the physics objectives of the SuperB project. by Dr Luis Alejandro Perez.