Abstract
The ALICE experiment at the CERN LHC will feature several upgrades for Run 3, one of which is a new Inner Tracking System (ITS). The ITS upgrade is currently under development and commissioning, and will be installed during the ongoing long shutdown 2. A number of factors will have an impact on the performance and readout efficiency of the ITS in run 3, and to that end, a simulation model of the readout logic in the ALPIDE pixel sensor chips for the ITS was developed, using the SystemC library for system level modeling in C++. This simulation model is three orders of magnitude faster than a normal HDL simulation of the chip and facilitates simulations of an increased number of events for a large portion of the detector. In this paper, we present simulation results, where we have been able to quantify detector performance under different running conditions. The results are used for system configuration as well as for the ongoing development of the readout electronics.
Highlights
The ALICE experiment will be operating at increased luminosities in the third run of the LHC
The Inner Tracking System (ITS) detector consists of 24 120 ALPIDE chips arranged in seven cylindrical layers, which are grouped in an Inner Barrel (IB) comprising the three innermost layers, and an Outer Barrel (OB) for the remaining four layers
Interaction rates of 50 kHz for Pb–Pb and 200 kHz pp are planned for ALICE in Run-3, using periodic triggers, and possibly with higher rates for pp
Summary
The ALICE experiment will be operating at increased luminosities in the third run of the LHC. In preparation for this, upgrades to the experiment are installed during the Long Shutdown 2 (LS2) of the LHC, which is currently ongoing. The layers are constructed from long and narrow staves of ALPIDE chips that run along the length of the barrels. The data from the sensor chips are read out by 192 Readout Unit (RU) boards, one RU per stave. These factors are not just limited to operating conditions such as run type and event rates, and include a number of sensor configuration parameters
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