Emulation of a prototype FPGA track finder for the CMS Phase-2 upgrade with the CIDAF emulation framework

Emulation of a prototype FPGA track finder for the CMS Phase-2 upgrade with the CIDAF emulation framework
复制标题

DOI:
10.1109/rtc.2016.7543110
复制
发表时间:
2016-08
期刊:
2016 IEEE-NPSS Real Time Conference (RT)
影响因子:
--
通讯作者:
C. Amstutz;F. Ball;M. Balzer;J. Brooke;L. Calligaris;D. Cieri;E. Clement;G. Hall;T. Harbaum;K. Harder;P. Hobson;G. Iles;T. James;K. Manolopoulos;T. Matsushita;A. Morton;D. Newbold;S. Paramesvaran;M. Pesaresi;I. Reid;A. Rose;O. Sander;T. Schuh;C. Shepherd-Themistocleous;A. Shtipliyski;S. Summers;A. Tapper;I. Tomalin;K. Uchida;P. Vichoudis;M. Weber
C. Amstutz;F. Ball;M. Balzer;J. Brooke;L. Calligaris;D. Cieri;E. Clement;G. Hall;T. Harbaum;K. Harder;P. Hobson;G. Iles;T. James;K. Manolopoulos;T. Matsushita;A. Morton;D. Newbold;S. Paramesvaran;M. Pesaresi;I. Reid;A. Rose;O. Sander;T. Schuh;C. Shepherd-Themistocleous;A. Shtipliyski;S. Summers;A. Tapper;I. Tomalin;K. Uchida;P. Vichoudis;M. Weber
中科院分区:
其他
文献类型:
--
作者:
C. Amstutz;F. Ball;M. Balzer;J. Brooke;L. Calligaris;D. Cieri;E. Clement;G. Hall;T. Harbaum;K. Harder;P. Hobson;G. Iles;T. James;K. Manolopoulos;T. Matsushita;A. Morton;D. Newbold;S. Paramesvaran;M. Pesaresi;I. Reid;A. Rose;O. Sander;T. Schuh;C. Shepherd-Themistocleous;A. Shtipliyski;S. Summers;A. Tapper;I. Tomalin;K. Uchida;P. Vichoudis;M. Weber

文献摘要

被引文献

相似文献

CMS合作正在准备对其探测器进行重大升级,以便从2026年开始在LHC的高亮度运行期间运行。升级后的跟踪器电子设备将在几微秒的延迟内重建带电粒子的轨迹,以便它们可以被1级触发器使用。一个仿真框架,CIDAF,已被开发,以提供一个参考建议的基于FPGA的实现这个跟踪发现器,它采用了时间复用(TM)的数据处理技术。
The CMS collaboration is preparing a major upgrade of its detector, so it can operate during the high luminosity run of the LHC from 2026. The upgraded tracker electronics will reconstruct the trajectories of charged particles within a latency of a few microseconds, so that they can be used by the level-1 trigger. An emulation framework, CIDAF, has been developed to provide a reference for a proposed FPGA-based implementation of this track finder, which employs a Time-Multiplexed (TM) technique for data processing.