Intelligent FPGA data acquisition framework

Yunpeng Bai, Dominic Gaisbauer, Stefan Huber, Igor Konorov, Dmytro Levit, Dominik Steffen, Stephan Paul

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper we present the FPGA-based framework IFDAQ which is used for the development of the data acquisition systems for detectors in high energy physics. The framework supports Xilinx FPGA and provides a collection of the IP cores written in VHDL which use the common interconnect interface. The IP core library offers functionality required for the development of the full DAQ chain. The library consists of the SERDES-based TDC channels, an interface to a multi-channel 80MS/s 10-bit ADC, data transmission and synchronization protocol between FPGA, event builder and slow control. The functionality is distributed among FPGA modules built in the AMC form factor: front-end and data concentrator. This modular design also helps to scale and adapt the data acquisition system to the needs of the particular experiment. The first application of the IFDAQ framework is the upgrade of the read-out electronics for the straw drift chambers and the electromagnetic calorimeters of the COMPASS experiment at CERN. The framework will be presented and discussed in the context of this upgrade.

Original languageEnglish
Title of host publication2016 IEEE-NPSS Real Time Conference, RT 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509020140
DOIs
StatePublished - 12 Aug 2016
Event2016 IEEE-NPSS Real Time Conference, RT 2016 - Padova, Italy
Duration: 6 Jun 201610 Jun 2016

Publication series

Name2016 IEEE-NPSS Real Time Conference, RT 2016

Conference

Conference2016 IEEE-NPSS Real Time Conference, RT 2016
Country/TerritoryItaly
CityPadova
Period6/06/1610/06/16

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