Master'sOpen Access

CMS HGCAL veri toplama sistemi'nde FPGA tabanlı autorecovery mantığının geliştirilmesi ve geçerlenmesi

2025
1 views
1 downloads
Advisor: Dr. Öğr. Üyesi Bora Akgün

Abstract (EN)

This thesis presents the design, implementation and validation of the FPGA-based Autorecovery Block that safeguards the data acquisition (DAQ) chain of the High Granularity Calorimeter against faulty packets and link errors. Operating at a clock frequency of 40 MHz, the Autorecovery Block monitors errors emitted by the ECON-D data concentrator ASICs. Four independent error counters track timeout, bunch crossing mismatch, event number mismatch, and buffer overflow conditions. When a counter hits its programmable threshold, the Autorecovery Block issues a recovery command. Many of the block's static parameters were converted into field-configurable ones by expanding the DAQ firmware's existing IPbus infrastructure. The error priority list, thresholds, routing map, and individual ECON-D mute status are made configurable via control registers. Status registers, on the other hand, enable monitoring of a block's internal diagnostics and support testing. The Autorecovery Block was validated on a Serenity carrier board equipped with an AMD Kintex™ UltraScale+™ KU15P Field Programmable Gate Array. The block's main functions were tested in its isolated form. The block acted on errors injected over 1024 consecutive clock cycles with 100% recovery command trigger rate. It was later embedded in a broader firmware structure and tested with emulated errors, achieving a 100% success rate again.

Author

Dr. Rauf Ozan Akpınar

How to Cite

Rauf Ozan Akpınar (Master Thesis). CMS HGCAL veri toplama sistemi'nde FPGA tabanlı autorecovery mantığının geliştirilmesi ve geçerlenmesi, 2025, Boğaziçi University.

Keywords

License

Tüm Hakları Saklıdır

This work is shared under the specified license terms.

More theses from Boğaziçi University