To cope with the challenging environment of the planned high luminosity upgrade of the Large Hadron Collider (HL-LHC), scheduled to start operation in the late 2020s, CMS will replace its entire tracking system. The requirements for the tracker are largely determined by the long operation time of 10 years with a peak instantaneous luminosity of up to 7.5 × 1034 cm−2 s−1 in the ultimate performance scenario. In particular, the Inner Tracker (IT) is being completely redesigned featuring a front-end chip capable to deal with hit rates of up to 3.38 GHz/cm2. The communication between the front-end and the back-end electronics occurs through an optical link based on a custom Low-power Gigabit Transceiver which sends data at 10 and 2.5 Gbps on the uplink and downlink, respectively. The number of pixels has been increased by a factor of 6 with respect to the present detector, resulting in an unprecedented number of channels of about two billion, and covering a pseudorapidity region up to 4. This represents a challenging requirement for the data acquisition system since it needs to efficiently configure, monitor, and calibrate them. A dedicated data acquisition system, written in C++ and based on a custom µTCA board to handle trigger, data, and detector control, equipped with an FPGA, was developed to fully test and characterize the IT modules on a bench and with beam tests. In this note, we will describe the system architecture and its scalability to the final system which will be based on custom back-end boards equipped with FPGAs and CPUs.

Dinardo, M. (2024). The CMS Inner Tracker DAQ system for the High Luminosity upgrade of LHC: from single-chip testing, to large-scale assembly qualification. In 26th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2023 (pp.1-9). EDP Sciences [10.1051/epjconf/202429502028].

The CMS Inner Tracker DAQ system for the High Luminosity upgrade of LHC: from single-chip testing, to large-scale assembly qualification

Dinardo M. E.
2024

Abstract

To cope with the challenging environment of the planned high luminosity upgrade of the Large Hadron Collider (HL-LHC), scheduled to start operation in the late 2020s, CMS will replace its entire tracking system. The requirements for the tracker are largely determined by the long operation time of 10 years with a peak instantaneous luminosity of up to 7.5 × 1034 cm−2 s−1 in the ultimate performance scenario. In particular, the Inner Tracker (IT) is being completely redesigned featuring a front-end chip capable to deal with hit rates of up to 3.38 GHz/cm2. The communication between the front-end and the back-end electronics occurs through an optical link based on a custom Low-power Gigabit Transceiver which sends data at 10 and 2.5 Gbps on the uplink and downlink, respectively. The number of pixels has been increased by a factor of 6 with respect to the present detector, resulting in an unprecedented number of channels of about two billion, and covering a pseudorapidity region up to 4. This represents a challenging requirement for the data acquisition system since it needs to efficiently configure, monitor, and calibrate them. A dedicated data acquisition system, written in C++ and based on a custom µTCA board to handle trigger, data, and detector control, equipped with an FPGA, was developed to fully test and characterize the IT modules on a bench and with beam tests. In this note, we will describe the system architecture and its scalability to the final system which will be based on custom back-end boards equipped with FPGAs and CPUs.
paper
Computer Science, Interdisciplinary Applications
English
26th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2023 - MAY 08-12, 2023
2023
26th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2023
6-mag-2024
2024
295
1
9
02028
open
Dinardo, M. (2024). The CMS Inner Tracker DAQ system for the High Luminosity upgrade of LHC: from single-chip testing, to large-scale assembly qualification. In 26th International Conference on Computing in High Energy and Nuclear Physics, CHEP 2023 (pp.1-9). EDP Sciences [10.1051/epjconf/202429502028].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/605263
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