22nd Virtual IEEE Real Time Conference

Session

Oral presentations DAQ04

22 Oct 2020, 00:00

Conveners

Oral presentations DAQ04

• Christian Bohm (Stockholm University (SE))

104. Evaluation of a streaming readout solution for Jefferson Lab experiments

Dr BATTAGLIERI, Marco (INFN and Jefferson Lab)

22/10/2020, 00:00

Data Acquisition System Architectures

Oral presentation

Jefferson Lab (JLab) operates the CEBAF accelerator that provides a high energy (up to 12 GeV) and high current (up to 150 µA) polarized electron beam for fixed target experiments. JLab's mission is to provide substantial progress in understanding the Quantum Chromo Dynamics (QCD), the current theory of the spectrum and the dynamics of hadronic matter. Given the broad scientific program a...

164. Status of the Phase-2 Tracker Upgrade of the CMS experiment at the HL-LHC

CALLIGARIS, Luigi (UNESP - Universidade Estadual Paulista (BR))

22/10/2020, 00:20

Data Acquisition System Architectures

Oral presentation

The Phase-2 Upgrade of the CMS experiment is designed to prepare its detectors for operation at the High Luminosity Large Hadron Collider (HL-LHC). The upgraded collider will begin operation in 2026, featuring new challenging conditions in terms of data throughput, pile-up and radiation, reasons for which the tracker detector will be entirely replaced by a new design. We present the current...

81. Combining Triggered and Streaming Readout - The sPHENIX DAQ System

Dr PURSCHKE, Martin L. (Brookhaven National Laboratory (US))

22/10/2020, 00:40

Data Acquisition System Architectures

Oral presentation

Recently, the Streaming Readout paradigm has gained traction as a viable alternative to classic triggered readout architectures for future experiments, for example at the planned Electron-Ion Collider. The sPHENIX apparatus at the Relativistic Heavy Ion Collider, a significant upgrade of the former PHENIX detector, cannot yet implement a full streaming readout, although the (by data volume)...

155. Assessing the Requirements of a Computer-Based PET Coincidence Engine Using a Cluster of 60 Raspberry Pi

SAMSON, Arnaud (Université de Sherbrooke)

22/10/2020, 01:00

Data Acquisition System Architectures

Oral presentation

In current PET scanners, coincidence finding is often performed inside FPGAs because of their high parallelization capacities. Nowadays, the trend in PET is to multiply the number of individual detection channels, and thus the FPGAs dedicated to the coincidence engine need to be increasingly powerful. However, FPGAs have a limited number of I/O ports, and their cost becomes prohibitive for the...

8. Data Processing for the Linac Coherent Light Source

PERAZZO, Amedeo

22/10/2020, 01:20

Data Acquisition System Architectures

Oral presentation

The increase in velocity, volume, and complexity of
the data generated by the upcoming LCLS-II upgrade presents a
considerable challenge for data acquisition, data processing, and
data management. These systems face formidable challenges due
to the extremely high data throughput, hundreds of GB/s to multi-
TB/s, generated by the detectors at the experimental facilities and
to the...

38. Data Acquisition and Signal Processing for the Gamma Ray Energy Tracking Array (GRETA)

STEZELBERGER, Thorsten (Lawrence Berkeley National Lab)

22/10/2020, 01:40

Front End Electronics and Fast Digitizers

Oral presentation

The Gamma Ray Energy Tracking Array (GRETA) is a 4-π detector system, currently under development, capable of determining energy, timing and tracking of multiple gamma-ray interactions inside germanium crystals as demonstrated in GRETINA. Charge sensitive amplifiers instrument the crystals and their outputs are converted using analog to digital converters for real-time digital processing. In...