Filip Leonarski
1c4dfd03e2
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This is an UNSTABLE release. * jfjoch_broker: Use newer version of Google Ceres for (potential) CUDA 13 compatibility * jfjoch_broker: Improve performance of generating preview images, especially for large detectors (9M-16M) * jfjoch_viewer: Improve performance of displaying images, especially for large detectors (9M-16M) * jfjoch_viewer: Add more color schemes for better image readability * HDF5: Common mutex for reading and writing HDF5 if both operations were to happen in the same executable * HDF5: suppress warning if path (upstream group) doesn't exists when checking if leaf exists Reviewed-on: #30 Co-authored-by: Filip Leonarski <filip.leonarski@psi.ch> Co-committed-by: Filip Leonarski <filip.leonarski@psi.ch>
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Acknowledgements
Citation: F. Leonarski, M. Bruckner, C. Lopez-Cuenca, A. Mozzanica, H.-C. Stadler, Z. Matej, A. Castellane, B. Mesnet, J. Wojdyla, B. Schmitt and M. Wang "Jungfraujoch: hardware-accelerated data-acquisition system for kilohertz pixel-array X-ray detectors" (2023), J. Synchrotron Rad., 30, 227-234 doi:10.1107/S1600577522010268.
The project is supported by :
- Innosuisse via Innovation Project "NextGenDCU high data rate acquisition system for X-ray detectors in structural biology applications" (101.535.1 IP-ENG; Apr 2023 - Sep 2025).
- ETH Domain via Open Research Data Contribute project (Jan - Dec 2023)
- AMD University Program with donation of licenses of Ethernet IP cores and Vivado software
This software uses Viridis, Magma and Inferno colormaps from Matplotlib under its BSD-compatible license