FPGA-based Data Acquisition and Instrumentation in Astrophysics Experiments
FPGA-based Data Acquisition and Instrumentation in Astrophysics Experiments
Event Date:
2024-02-07T15:00:00
2024-02-07T16:00:00
Event Location:
Henn 318
Speaker:
Mandana Amiri, Experimental Cosmology Project Manager for CHIME, University of British Columbia & Parham Zarei, PhD candidate, University of British Columbia, in-person
**We welcome everyone to this event, from upper-level undergraduate students, post-docs and faculty to the general public. Come join us!**
Event Information:
Abstract:
The recent advancement of Field-Programmable-Gate-Array (FPGA) technology has made them more appealing for experimental astrophysics. These experiments typically require fast and parallel processing of huge amount of data with customizable computation in terms of signal-processing chain and bit depth. Today, FPGAs come with a variety of high-speed Analog-to-Digital data converters (ADCs), high-speed serial transceivers and configurable interfaces for standard peripherals: DDR4, PCIe, 10G Ethernet. The integration of these blocks and the programmable fabric on the same chip provides lower power consumption, higher integration (or smaller footprint) which in turn helps scalability and flexibility needed for astrophysics experiments.
Here, we present an example implementation of a 2-channel Spectrometer readout on Xilinx RFSoC 4x2 platform.
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2024-02-07T15:00:002024-02-07T16:00:00FPGA-based Data Acquisition and Instrumentation in Astrophysics ExperimentsEvent Information:
Abstract:
The recent advancement of Field-Programmable-Gate-Array (FPGA) technology has made them more appealing for experimental astrophysics. These experiments typically require fast and parallel processing of huge amount of data with customizable computation in terms of signal-processing chain and bit depth. Today, FPGAs come with a variety of high-speed Analog-to-Digital data converters (ADCs), high-speed serial transceivers and configurable interfaces for standard peripherals: DDR4, PCIe, 10G Ethernet. The integration of these blocks and the programmable fabric on the same chip provides lower power consumption, higher integration (or smaller footprint) which in turn helps scalability and flexibility needed for astrophysics experiments. Here, we present an example implementation of a 2-channel Spectrometer readout on Xilinx RFSoC 4x2 platform.Event Location:
Henn 318