Simulation and Optimization Studies of the LHCb Beetle Readout ASIC and Machine Learning Approach for Pulse Shape Reconstruction
| Autor: | Wenbin Qian, Jan Buytaert, Christopher Parkes, Kazuyoshi Carvalho Akiba, Patrick Koppenburg, Sebastian Sitko, Tomasz Szumlak, Mark Richard James Williams, Karol Hennessy, Maciej Witold Majewski, Agnieszka Oblakowska-Mucha, Pawel Kopciewicz, William Barter, Jaap Velthuis, Thomas Latham, Lars Eklund |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Silicon
Computer science Physics::Instrumentation and Detectors TP1-1185 Accelerator Physics and Instrumentation Machine learning computer.software_genre Tracking (particle physics) Biochemistry Signal Article Analytical Chemistry Machine Learning Application-specific integrated circuit sensor optimization particle tracking detectors readout systems Animals Computer Simulation Electrical and Electronic Engineering Instrumentation Signal processing Large Hadron Collider business.industry Chemical technology Detector Signal Processing Computer-Assisted Acceleratorfysik och instrumentering Tracking system Chip Accelerators and Storage Rings Atomic and Molecular Physics and Optics Coleoptera Artificial intelligence business computer Particle Physics - Experiment |
| Zdroj: | Sensors Volume 21 Issue 18 Sensors, Vol 21, Iss 6075, p 6075 (2021) Sensors (Basel, Switzerland) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s21186075 |
| Popis: | The optimization of the Beetle readout ASIC and the performance of the software for the signal processing based on machine learning methods are presented. The Beetle readout chip was developed for the LHCb (Large Hadron Collider beauty) tracking detectors and was used in the VELO (Vertex Locator) during Run 1 and 2 of LHC data taking. The VELO, surrounding the LHC beam crossing region, was a leading part of the LHCb tracking system. The Beetle chip was used to read out the signal from silicon microstrips, integrating and amplifying it. The studies presented in this paper cover the optimization of its electronic configuration to achieve the lower power consumption footprint and the lower operational temperature of the sensors, while maintaining a good condition of the analogue response of the whole chip. The studies have shown that optimizing the operational temperature is possible and can be beneficial when the detector is highly irradiated. Even a single degree drop in silicon temperature can result in a significant reduction in the leakage current. Similar studies are being performed for the future silicon tracker, the Upstream Tracker (UT), which will start operating at LHC in 2021. It is expected that the inner part of the UT detector will suffer radiation damage similar to the most irradiated VELO sensors in Run 2. In the course of analysis we also developed a general approach for the pulse shape reconstruction using an ANN approach. This technique can be reused in case of any type of front-end readout chip. |
| Databáze: | OpenAIRE |
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