A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC

J. Kvapil; G. Borca-Tasciuc; H. Bossi; K. Chen; Y. Chen; Y. Corrales Morales; H. Da Costa; C. Da Silva; C. Dean; J. Durham; S. Fu; C. Hao; P. Harris; O. Hen; H. Jheng; Y. Lee; P. Li; X. Li; Y. Lin; M. X. Liu; A. Olvera; M. L. Purschke; M. Rigatti; G. Roland; J. Schambach; Z. Shi; N. Tran; N. Wuerfel; B. Xu; D. Yu; H. Zhang

doi:10.1088/1748-0221/19/02/C02066

A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC

J. Kvapil, G. Borca-Tasciuc, H. Bossi, K. Chen, Y. Chen, Y. Corrales Morales, H. Da Costa, C. Da Silva, C. Dean, J. Durham, S. Fu, C. Hao, P. Harris, O. Hen, H. Jheng, Y. Lee, P. Li, X. Li, Y. Lin, M. X. LiuA. Olvera, M. L. Purschke, M. Rigatti, G. Roland, J. Schambach, Z. Shi, N. Tran, N. Wuerfel, B. Xu, D. Yu, H. Zhang

Research output: Contribution to journal › Article › peer-review

Abstract

The RHIC interaction rate at sPHENIX will reach around 3 MHz in pp collisions and requires the detector readout to reject events by a factor of over 200 to fit the DAQ bandwidth of 15 kHz. Some critical measurements, such as heavy flavor production in pp collisions, often require the analysis of particles produced at low momentum. This prohibits adopting the traditional approach, where data rates are reduced through triggering on rare high momentum probes. We explore a new approach based on real-time AI technology, adopt an FPGA-based implementation using a custom designed FELIX-712 board with the Xilinx Kintex Ultrascale FPGA, and deploy the system in the detector readout electronics loop for real-time trigger decision.

Original language	English (US)
Article number	C02066
Journal	Journal of Instrumentation
Volume	19
Issue number	2
DOIs	https://doi.org/10.1088/1748-0221/19/02/C02066
State	Published - Feb 1 2024

All Science Journal Classification (ASJC) codes

Instrumentation
Mathematical Physics

Keywords

Detector control systems (detector and experiment monitoring and slow-control systems, architecture, hardware, algorithms, databases)
Trigger algorithms
Trigger concepts and systems (hardware and software)

Access to Document

10.1088/1748-0221/19/02/C02066

Cite this

Kvapil, J., Borca-Tasciuc, G., Bossi, H., Chen, K., Chen, Y., Corrales Morales, Y., Da Costa, H., Da Silva, C., Dean, C., Durham, J., Fu, S., Hao, C., Harris, P., Hen, O., Jheng, H., Lee, Y., Li, P., Li, X., Lin, Y., ... Zhang, H. (2024). A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC. Journal of Instrumentation, 19(2), Article C02066. https://doi.org/10.1088/1748-0221/19/02/C02066

@article{d2c43385027e4634b1ebd5976b126d07,

title = "A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC",

abstract = "The RHIC interaction rate at sPHENIX will reach around 3 MHz in pp collisions and requires the detector readout to reject events by a factor of over 200 to fit the DAQ bandwidth of 15 kHz. Some critical measurements, such as heavy flavor production in pp collisions, often require the analysis of particles produced at low momentum. This prohibits adopting the traditional approach, where data rates are reduced through triggering on rare high momentum probes. We explore a new approach based on real-time AI technology, adopt an FPGA-based implementation using a custom designed FELIX-712 board with the Xilinx Kintex Ultrascale FPGA, and deploy the system in the detector readout electronics loop for real-time trigger decision.",

keywords = "Detector control systems (detector and experiment monitoring and slow-control systems, architecture, hardware, algorithms, databases), Trigger algorithms, Trigger concepts and systems (hardware and software)",

author = "J. Kvapil and G. Borca-Tasciuc and H. Bossi and K. Chen and Y. Chen and {Corrales Morales}, Y. and {Da Costa}, H. and {Da Silva}, C. and C. Dean and J. Durham and S. Fu and C. Hao and P. Harris and O. Hen and H. Jheng and Y. Lee and P. Li and X. Li and Y. Lin and Liu, {M. X.} and A. Olvera and Purschke, {M. L.} and M. Rigatti and G. Roland and J. Schambach and Z. Shi and N. Tran and N. Wuerfel and B. Xu and D. Yu and H. Zhang",

note = "Publisher Copyright: {\textcopyright} 2024 The Author(s)",

year = "2024",

month = feb,

day = "1",

doi = "10.1088/1748-0221/19/02/C02066",

language = "English (US)",

volume = "19",

journal = "Journal of Instrumentation",

issn = "1748-0221",

publisher = "IOP Publishing Ltd.",

number = "2",

}

Kvapil, J, Borca-Tasciuc, G, Bossi, H, Chen, K, Chen, Y, Corrales Morales, Y, Da Costa, H, Da Silva, C, Dean, C, Durham, J, Fu, S, Hao, C, Harris, P, Hen, O, Jheng, H, Lee, Y, Li, P, Li, X, Lin, Y, Liu, MX, Olvera, A, Purschke, ML, Rigatti, M, Roland, G, Schambach, J, Shi, Z, Tran, N, Wuerfel, N, Xu, B, Yu, D & Zhang, H 2024, 'A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC', Journal of Instrumentation, vol. 19, no. 2, C02066. https://doi.org/10.1088/1748-0221/19/02/C02066

TY - JOUR

T1 - A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC

AU - Kvapil, J.

AU - Borca-Tasciuc, G.

AU - Bossi, H.

AU - Chen, K.

AU - Chen, Y.

AU - Corrales Morales, Y.

AU - Da Costa, H.

AU - Da Silva, C.

AU - Dean, C.

AU - Durham, J.

AU - Fu, S.

AU - Hao, C.

AU - Harris, P.

AU - Hen, O.

AU - Jheng, H.

AU - Lee, Y.

AU - Li, P.

AU - Li, X.

AU - Lin, Y.

AU - Liu, M. X.

AU - Olvera, A.

AU - Purschke, M. L.

AU - Rigatti, M.

AU - Roland, G.

AU - Schambach, J.

AU - Shi, Z.

AU - Tran, N.

AU - Wuerfel, N.

AU - Xu, B.

AU - Yu, D.

AU - Zhang, H.

PY - 2024/2/1

Y1 - 2024/2/1

N2 - The RHIC interaction rate at sPHENIX will reach around 3 MHz in pp collisions and requires the detector readout to reject events by a factor of over 200 to fit the DAQ bandwidth of 15 kHz. Some critical measurements, such as heavy flavor production in pp collisions, often require the analysis of particles produced at low momentum. This prohibits adopting the traditional approach, where data rates are reduced through triggering on rare high momentum probes. We explore a new approach based on real-time AI technology, adopt an FPGA-based implementation using a custom designed FELIX-712 board with the Xilinx Kintex Ultrascale FPGA, and deploy the system in the detector readout electronics loop for real-time trigger decision.

AB - The RHIC interaction rate at sPHENIX will reach around 3 MHz in pp collisions and requires the detector readout to reject events by a factor of over 200 to fit the DAQ bandwidth of 15 kHz. Some critical measurements, such as heavy flavor production in pp collisions, often require the analysis of particles produced at low momentum. This prohibits adopting the traditional approach, where data rates are reduced through triggering on rare high momentum probes. We explore a new approach based on real-time AI technology, adopt an FPGA-based implementation using a custom designed FELIX-712 board with the Xilinx Kintex Ultrascale FPGA, and deploy the system in the detector readout electronics loop for real-time trigger decision.

KW - Detector control systems (detector and experiment monitoring and slow-control systems, architecture, hardware, algorithms, databases)

KW - Trigger algorithms

KW - Trigger concepts and systems (hardware and software)

UR - http://www.scopus.com/inward/record.url?scp=85186107507&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85186107507&partnerID=8YFLogxK

U2 - 10.1088/1748-0221/19/02/C02066

DO - 10.1088/1748-0221/19/02/C02066

M3 - Article

AN - SCOPUS:85186107507

SN - 1748-0221

VL - 19

JO - Journal of Instrumentation

JF - Journal of Instrumentation

IS - 2

M1 - C02066

ER -

A demonstrator for a real-time AI-FPGA-based triggering system for sPHENIX at RHIC

Abstract

All Science Journal Classification (ASJC) codes

Keywords

Access to Document

Other files and links

Fingerprint

Cite this