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3 results on '"Nathan Grieser"'

1. The SALT—Readout ASIC for Silicon Strip Sensors of Upstream Tracker in the Upgraded LHCb Experiment

Author

Carlos Abellan Beteta, Dimitra Andreou, Marina Artuso, Andy Beiter, Steven Blusk, Roma Bugiel, Szymon Bugiel, Antonio Carbone, Ina Carli, Bo Chen, Nadim Conti, Federico De Benedetti, Shuchong Ding, Scott Ely, Miroslaw Firlej, Tomasz Fiutowski, Paolo Gandini, Danielle Germann, Nathan Grieser, Marek Idzik, Xiaojie Jiang, Wojciech Krupa, Yiming Li, Zhuoming Li, Xixin Liang, Shuaiyi Liu, Yu Lu, Lauren Mackey, Jakub Moron, Ray Mountain, Marco Petruzzo, Hang Pham, Burkhard Schmidt, Shuqi Sheng, Elisabetta Spadaro Norella, Krzysztof Swientek, Tomasz Szumlak, Mark Tobin, Jianchun Wang, Michael Wilkinson, Hangyi Wu, Feihao Zhang, and Quan Zou

Subjects
ASIC, front-end, ADC, DSP, PLL, DLL, Chemical technology, TP1-1185
Abstract

SALT, a new dedicated readout Application Specific Integrated Circuit (ASIC) for the Upstream Tracker, a new silicon detector in the Large Hadron Collider beauty (LHCb) experiment, has been designed and developed. It is a 128-channel chip using an innovative architecture comprising a low-power analogue front-end with fast pulse shaping and a 40 MSps 6-bit Analog-to-Digital Converter (ADC) in each channel, followed by a Digital Signal Processing (DSP) block performing pedestal and Mean Common Mode (MCM) subtraction and zero suppression. The prototypes of SALT were fabricated and tested, confirming the full chip functionality and fulfilling the specifications. A signal-to-noise ratio of about 20 is achieved for a silicon sensor with a 12 pF input capacitance. In this paper, the SALT architecture and measurements of the chip performance are presented.

Published
2021
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2. Python Usage Within the LHCb Experiment

Author

Nathan Grieser

Abstract

Expanding HEP datasets and analysis challenges continues to give rise to advancing software within the ecosystem. The LHCb experiment has seen many analyzers make the change to Python-based analysis software tools, making use of many of the scikit and scikit-hep packages. Additional development of flavour-physics aimed packages is spearheaded by many users within the collaboration. A broad overview of the tools and specific applications of such tools is provided to encourage the discussion and growth within the PyHEP community.

Published
2022
Full Text
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3. The SALT—readout ASIC for silicon strip sensors of upstream tracker in the upgraded LHCb experiment

Author

Carlos Abellan Beteta, Dimitra Andreou, Marina Artuso, Andy Beiter, Steven Blusk, Roma Bugiel, Szymon Bugiel, Antonio Carbone, Ina Carli, Bo Chen, Nadim Conti, Federico De Benedetti, Shuchong Ding, Scott Ely, Miroslaw Firlej, Tomasz Fiutowski, Paolo Gandini, Danielle Germann, Nathan Grieser, Marek Idzik, Xiaojie Jiang, Wojciech Krupa, Yiming Li, Zhuoming Li, Xixin Liang, Shuaiyi Liu, Yu Lu, Lauren Mackey, Jakub Moron, Ray Mountain, Marco Petruzzo, Hang Pham, Burkhard Schmidt, Shuqi Sheng, Elisabetta Spadaro Norella, Krzysztof Swientek, Tomasz Szumlak, Mark Tobin, Jianchun Wang, Michael Wilkinson, Hangyi Wu, Feihao Zhang, Quan Zou, Beteta, C, Andreou, D, Artuso, M, Beiter, A, Blusk, S, Bugiel, R, Bugiel, S, Carbone, A, Carli, I, Chen, B, Conti, N, De Benedetti, F, Ding, S, Ely, S, Firlej, M, Fiutowski, T, Gandini, P, Germann, D, Grieser, N, Idzik, M, Jiang, X, Krupa, W, Li, Y, Li, Z, Liang, X, Liu, S, Lu, Y, Mackey, L, Moron, J, Mountain, R, Petruzzo, M, Pham, H, Schmidt, B, Sheng, S, Norella, E, Swientek, K, Szumlak, T, Tobin, M, Wang, J, Wilkinson, M, Wu, H, Zhang, F, and Zou, Q

Subjects
PLL, Chemical technology, ASIC, TP1-1185, Biochemistry, Article, Atomic and Molecular Physics, and Optics, SEE, Analytical Chemistry, front-end, ADC, DSP, DLL, Hardware_INTEGRATEDCIRCUITS, Detectors and Experimental Techniques, Electrical and Electronic Engineering, Instrumentation, Front-end
Abstract

SALT, a new dedicated readout Application Specific Integrated Circuit (ASIC) for the Upstream Tracker, a new silicon detector in the Large Hadron Collider beauty (LHCb) experiment, has been designed and developed. It is a 128-channel chip using an innovative architecture comprising a low-power analogue front-end with fast pulse shaping and a 40 MSps 6-bit Analog-to-Digital Converter (ADC) in each channel, followed by a Digital Signal Processing (DSP) block performing pedestal and Mean Common Mode (MCM) subtraction and zero suppression. The prototypes of SALT were fabricated and tested, confirming the full chip functionality and fulfilling the specifications. A signal-to-noise ratio of about 20 is achieved for a silicon sensor with a 12 pF input capacitance. In this paper, the SALT architecture and measurements of the chip performance are presented.

Published
2022

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