Climbing Mountains: Building a Data Capture and Correction System for JUNGFRAU 9M
Graeme Winter, Nick E Devenish, James O'Hea, Gary Yendell

TL;DR
This paper describes the development of a new data capture and correction system for the JUNGFRAU 9M detector using modern hardware to improve efficiency and compatibility.
Contribution
The paper introduces a novel data capture system using the NVIDIA Grace Hopper Superchip for the JUNGFRAU 9M detector.
Findings
A system using the NVIDIA Grace Hopper Superchip was developed for JUNGFRAU 9M data capture and correction.
The new system uses mainstream technologies like CUDA and allows for parallel data capture and analysis.
The approach aims to align with the specific needs of Diamond Light Source beamline I24.
Abstract
The JUNGFRAU detector is a charge integrating, high-frame-rate, imaging detector developed by the PSI detector group, originally to support the SwissFEL Aramis beamline. The detector includes adaptive gain switching to give single photon sensitivity whilst also allowing sufficient analogue dynamic range to record ∼10,000 12keV photons. The use of adaptive gains requires a multi-stage data correction procedure, factoring in the pedestal and gain value for each pixel for each gain mode: at 2kHz frame rate this makes for a non-trivial undertaking. At the SLS a data capture system for this has been developed, JUNGFRAUJOCH which uses a number of Xilinx FPGA boards to read the UDP data stream and perform the correction and the initial stage of data compression, before reading out to the CPU for compression. Whilst this is an effective solution, the technology choice of FPGA high level…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsShakespeare, Adaptation, and Literary Criticism · Freedom of Expression and Defamation · Spatial and Cultural Studies
