| Home > Publications database > Integrated Detector Control and Calibration Processing at the European XFEL > print |
| 001 | 289141 | ||
| 005 | 20211110132542.0 | ||
| 020 | _ | _ | |a 978-3-95450-148-9 |
| 037 | _ | _ | |a PUBDB-2015-05267 |
| 041 | _ | _ | |a English |
| 100 | 1 | _ | |a Muennich, Astrid |0 P:(DE-H253)PIP1017900 |b 0 |e Corresponding author |
| 111 | 2 | _ | |a International Conference on Accelerator and Large Experimental Control Systems |g ICALEPS |c Melbourne |d 2015-10-18 - 2015-10-23 |w Australia |
| 245 | _ | _ | |a Integrated Detector Control and Calibration Processing at the European XFEL |
| 260 | _ | _ | |c 2015 |
| 300 | _ | _ | |a WEPGF050 |
| 336 | 7 | _ | |a Conference Paper |0 33 |2 EndNote |
| 336 | 7 | _ | |a conferenceObject |2 DRIVER |
| 336 | 7 | _ | |a Contribution to a conference proceedings |b contrib |m contrib |0 PUB:(DE-HGF)8 |s 1456900584_12462 |2 PUB:(DE-HGF) |
| 336 | 7 | _ | |a INPROCEEDINGS |2 BibTeX |
| 520 | _ | _ | |a The European X-ray Free Electron Laser is a high-intensity X-ray light source currently being constructed in the area of Hamburg, that will provide spatially coherent X-rays in the energy range between 0.25 keV and 25 keV. The machine will deliver 10 trains/s, consisting of up to 2700 pulses, with a 4.5 MHz repetition rate. The LPD, DSSC and AGIPD detectors are being developed to provide high dynamic-range Mpixel imaging capabilities at the mentioned repetition rates. A consequence of these detector characteristics is that they generate raw data volumes of up to 15 Gbyte/s. In addition the detector's on-sensor memory-cell and multi-/non-linear gain architectures pose unique challenges in data correction and calibration, requiring online access to operating conditions and control settings. We present how these challenges are addressed within XFEL's control and analysis framework Karabo, which integrates access to hardware conditions, acquisition settings (also using macros) and distributed computing. Implementation of control and calibration software is mainly in Python, using self-optimizing (py) CUDA code, numpy and iPython parallels to achieve near-real time performance for calibration application. |
| 536 | _ | _ | |a 632 - Detector technology and systems (POF3-632) |0 G:(DE-HGF)POF3-632 |c POF3-632 |f POF III |x 0 |
| 536 | _ | _ | |a 631 - Accelerator R & D (POF3-631) |0 G:(DE-HGF)POF3-631 |c POF3-631 |f POF III |x 1 |
| 693 | _ | _ | |a XFEL |e Experiments at XFEL |1 EXP:(DE-H253)XFEL-20150101 |0 EXP:(DE-H253)XFEL-Exp-20150101 |5 EXP:(DE-H253)XFEL-Exp-20150101 |x 0 |
| 700 | 1 | _ | |a Hauf, Steffen |0 P:(DE-H253)PIP1017888 |b 1 |
| 700 | 1 | _ | |a Kuster, Markus |0 P:(DE-H253)PIP1011922 |b 2 |
| 700 | 1 | _ | |a Lang, Philipp-Michael |0 P:(DE-H253)PIP1022272 |b 3 |
| 700 | 1 | _ | |a Heisen, Burkhard |0 P:(DE-H253)PIP1012426 |b 4 |
| 700 | 1 | _ | |a Januschek, Friederike |0 P:(DE-H253)PIP1005478 |b 5 |
| 700 | 1 | _ | |a Raab, Natascha |0 P:(DE-H253)PIP1021015 |b 6 |
| 700 | 1 | _ | |a Rueter, Tonn |0 P:(DE-H253)PIP1021999 |b 7 |
| 700 | 1 | _ | |a Turcato, Monica |0 P:(DE-H253)PIP1005920 |b 8 |
| 700 | 1 | _ | |a Sztuk-Dambietz, Jolanta |0 P:(DE-H253)PIP1005470 |b 9 |
| 856 | 4 | _ | |u https://icalepcs.synchrotron.org.au/papers/wepgf050.pdf |
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| 913 | 1 | _ | |a DE-HGF |b Forschungsbereich Materie |l Materie und Technologie |1 G:(DE-HGF)POF3-630 |0 G:(DE-HGF)POF3-632 |2 G:(DE-HGF)POF3-600 |v Detector technology and systems |x 0 |4 G:(DE-HGF)POF |3 G:(DE-HGF)POF3 |
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| 914 | 1 | _ | |y 2015 |
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| 920 | 1 | _ | |0 I:(DE-H253)Eur_XFEL-20120731 |k Eur.XFEL |l European XFEL |x 0 |
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