Paper | Title | Page |
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TUMIB07 | RASHPA: A Data Acquisition Framework for 2D XRays Detectors | 536 |
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Funding: Cluster of Research Infrastructures for Synergies in Physics (CRISP) co-funded by the partners and the European Commission under the 7th Framework Programme Grant Agreement 283745 ESRF ESRF research programs, along with the foreseen accelerator sources upgrade, require state-of-the-art instrumentation devices with high data flow acquisition systems. This paper presents RASHPA, a data acquisition framework targeting 2D XRay detectors. By combining a highly configurable multi link PCI Express over cable based data transmission engine and a carefully designed LINUX software stack, RASHPA aims at reaching the performances required by current and future detectors. |
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Slides TUMIB07 [0.168 MB] | |
FRCOAAB08 | The LIMA Project Update | 1489 |
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LIMA, a Library for Image Acquisition, was developed at the ESRF to control high-performance 2D detectors used in scientific applications. It provides generic access to common image acquisition concepts, from detector synchronization to online data reduction, including image transformations and storage management. An abstraction of the low-level 2D control defines the interface for camera plugins, allowing different degrees of hardware optimizations. Scientific 2D data throughput up to 250 MB/s is ensured by multi-threaded algorithms exploiting multi-CPU/core technologies. Eighteen detectors are currently supported by LIMA, covering CCD, CMOS and pixel detectors, and video GigE cameras. Control system agnostic by design, LIMA has become the de facto 2D standard in the TANGO community. An active collaboration among large facilities, research laboratories and detector manufacturers joins efforts towards the integration of new core features, detectors and data processing algorithms. The LIMA 2 generation will provide major improvements in several key core elements, like buffer management, data format support (including HDF5) and user-defined software operations, among others. | ||
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Slides FRCOAAB08 [1.338 MB] | |