Development of Readout Electronics for a Digital Tracking Calorimeter

Groettvik, Ola Slettevoll; Alme, J.; Barthel, Rene; Bodova, Tea; Borshchov, V.N.; Brink, A. van den; Eikeland, Viljar Nilsen; Herland, Alf Kristoffer; Kolk, N. van der; Nesbo, S. V.; Peitzmann, T.; Röhrich, D.; Tambave, Ganesh Jagannath; Tymchuk, I.; Ullaland, K.

doi:10.22323/1.370.0090

Cited by 2 publications

(6 citation statements)

References 4 publications

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“…there is a pileup of events in that frame. With minimum-bias triggers, there are no empty frames 6 since only interaction events are triggered on, and minimum-bias triggers have smaller pileup values 7 . Pileup values larger than three are rarely observed for minimum-bias triggers or periodic triggers with 5 µs period.…”

Section: Simulation Resultsmentioning

confidence: 99%

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System simulations for the ALICE ITS detector upgrade

et al. 2020

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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.

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Section: Simulation Resultsmentioning

confidence: 99%

“…As a final remark, the simulation model has also been used to simulate data rates and readout efficiency for the proton-CT project at the University of Bergen (UiB) [7] and the planned Forward Calorimeter (FoCal) in ALICE.…”

Section: Discussionmentioning

confidence: 99%

System simulations for the ALICE ITS detector upgrade

et al. 2020

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“…The 5 μs frame time represents a lowest limit which should never be reached in a real case scenario. System C-simulations [46] with these numbers gave a data rate of roughly 1.4 Gbit/s for each layer [47], as shown in Figure 6.…”

Section: Conceptual Designmentioning

confidence: 99%

“…The pRU is based on a Xilinx Kintex Ultrascale FPGA. The FPGA's native I/O primitives provide high enough bandwidth to handle the 108 data links without employing multi-gigabit transceiver pins reducing the need for a larger and more expensive FPGA [47]. Figure 8 shows the functional block diagram of the pRU.…”

Section: Readout Electronicsmentioning

confidence: 99%

“…The pDTPClient stores data in shared memory regions of the host machines and announces them to the subsequent processors. Preliminary measurements for the raw transport between pRU and host machine have been presented in Grøttvik et al [47]. For further processing, reconstruction, and storage of data, the pRU data is handled by a parser/decoder application which unpacks and sorts ALPIDE chip data as prerequisite for further processing and monitoring of the data.…”

Section: Readout Performancesmentioning

confidence: 99%

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A High-Granularity Digital Tracking Calorimeter Optimized for Proton CT

Alme¹,

Barnaföldi²,

Barthel³

et al. 2020

Front. Phys.

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A typical proton CT (pCT) detector comprises a tracking system, used to measure the proton position before and after the imaged object, and an energy/range detector to measure the residual proton range after crossing the object. The Bergen pCT collaboration was established to design and build a prototype pCT scanner with a high granularity digital tracking calorimeter used as both tracking and energy/range detector. In this work the conceptual design and the layout of the mechanical and electronics implementation, along with Monte Carlo simulations of the new pCT system are reported. The digital tracking calorimeter is a multilayer structure with a lateral aperture of 27 cm × 16.6 cm, made of 41 detector/absorber sandwich layers (calorimeter), with aluminum (3.5 mm) used both as absorber and carrier, and two additional layers used as tracking system (rear trackers) positioned downstream of the imaged object; no tracking upstream the object is included. The rear tracker's structure only differs from the calorimeter layers for the carrier made of ∼200 μm carbon fleece and carbon paper (carbon-epoxy sandwich), to minimize scattering. Each sensitive layer consists of 108 ALICE pixel detector (ALPIDE) chip sensors (developed for ALICE, CERN) bonded on a polyimide flex and subsequently bonded to a larger flexible printed circuit board. Beam tests tailored to the pCT operation have been performed using high-energetic (50-220 MeV/u) proton and ion beams at the

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Development of Readout Electronics for a Digital Tracking Calorimeter

Cited by 2 publications

References 4 publications

System simulations for the ALICE ITS detector upgrade

System simulations for the ALICE ITS detector upgrade

A High-Granularity Digital Tracking Calorimeter Optimized for Proton CT

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