Percival: An International Collaboration to Develop a MAPS-based Soft X-ray Imager

Wunderer, C.; Marras, A.; Bayer, M.; Correa, Jonathan; Lange, S.; Shevyakov, I.; Viti, M.; Xia, Q.; Zimmer, M.; Cautero, G.; Gianoncelli, Alessandra; Giuressi, D.; Menk, R.H.; Stebel, L.; Yousef, Hazem; Tartoni, N.; Marchal, J.; Rees, Nick; Thompson, J. A.; Turchetta, R.; Sedgwick, I.; Das, D.; Marsh, B.; Graafsma, H.

doi:10.1080/08940886.2014.930808

Cited by 15 publications

(11 citation statements)

References 2 publications

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“…Images of these Airy patterns were measured with the old chip in the TwinMic beamline at Elettra Light source, as explained in [2] and [8]. A clear difference between the response from the different pixel types was visible.…”

Section: Sensitivitymentioning

confidence: 99%

Characterisation of a PERCIVAL monolithic active pixel prototype using synchrotron radiation

et al. 2016

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A: PERCIVAL ("Pixelated Energy Resolving CMOS Imager, Versatile And Large") is a monolithic active pixel sensor (MAPS) based on CMOS technology. Is being developed by DESY, RAL/STFC, Elettra, DLS, and PAL to address the various requirements of detectors at synchrotron radiation sources and Free Electron Lasers (FELs) in the soft X-ray regime. These requirements include high frame rates and FELs base-rate compatibility, large dynamic range, single-photon counting capability with low probability of false positives, high quantum efficiency (QE), and (multi-)megapixel arrangements with good spatial resolution. Small-scale back-sideilluminated (BSI) prototype systems are undergoing detailed testing with X-rays and optical photons, in preparation of submission of a larger sensor.A first BSI processed prototype was tested in 2014 and a preliminary result -first detection of 350eV photons with some pixel types of PERCIVAL -reported at this meeting a year ago.Subsequent more detailed analysis revealed a very low QE and pointed to contamination as a possible cause. In the past year, BSI-processed chips on two more wafers were tested and their response to soft X-ray evaluated. We report here the improved charge collection efficiency (CCE) of different PERCIVAL pixel types for 400eV soft X-rays together with Airy patterns, response to a flat field, and noise performance for such a newly BSI-processed prototype sensor.

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Section: Sensitivitymentioning

confidence: 99%

Characterisation of a PERCIVAL monolithic active pixel prototype using synchrotron radiation

et al. 2016

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“…PERCIVAL [60][61][62][63][64], a large-area CMOS sensor for low-energy x-rays, has a seven-row readout architecture. PERCIVAL [60][61][62][63][64], a large-area CMOS sensor for low-energy x-rays, has a seven-row readout architecture.…”

Section: Row Addressingmentioning

confidence: 99%

Technology Needs for Modular Pixel Detectors

Guerrini¹

2017

Analog Electronics for Radiation Detection

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“…Indexed after geometry refinement Gd:Lysozyme [22] (4N5R) 391,000 42% (164,000) 56% (218,000) Cathepsin B [24] (4HWY) 358,000 56% (201,000) 59% (210,000) DgkA [25] 180,000 60% (109,000) 78% (140,500) Rhodopsin-Arrestin [26] (4ZWJ) 11,000 20% (2,200) 80% (8,800) For data from two published data sets, Gd:Lysozyme [22] (Dataset 1, Ref. [27]) and Cathepsin B [24], the indexing rate improved noticeably after geometry refinement.…”

Section: Improvement In Sfx Data Qualitymentioning

confidence: 99%

“…The first step in geometry calibration is to verify the starting detector geometry by forming a "virtual" powder diffraction pattern by summing all measured diffraction patterns 8 and, if necessary, altering the panel positions such that concentric powder diffraction rings line up with one other. This check enables coarse errors in detector geometry to be corrected.…”

Section: Data Collection and Initial Processingmentioning

confidence: 99%

“…Each pulse can measure a different crystal, and diffraction patterns can be measured at the pulse repetition rate, which so far has been up to 120 Hz. Detectors developed for such applications typically consist of several small detector modules tiled together to cover a larger area, for example the CSPAD detector [3,4], pnCCD [5], MPCCD [6], AGIPD [7] and Percival [8] detectors. Other segmented X-ray detector systems are either planned or under development, including detectors for synchrotron applications.…”

Section: Introductionmentioning

confidence: 99%

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Accurate determination of segmented X-ray detector geometry

Yefanov¹,

Mariani²,

Gati³

et al. 2015

Opt. Express

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Recent advances in X-ray detector technology have resulted in the introduction of segmented detectors composed of many small detector modules tiled together to cover a large detection area. Due to mechanical tolerances and the desire to be able to change the module layout to suit the needs of different experiments, the pixels on each module might not align perfectly on a regular grid. Several detectors are designed to permit detector sub-regions (or modules) to be moved relative to each other for different experiments. Accurate determination of the location of detector elements relative to the beam-sample interaction point is critical for many types of experiment, including X-ray crystallography, coherent diffractive imaging (CDI), small angle X-ray scattering (SAXS) and spectroscopy. For detectors with moveable modules, the relative positions of pixels are no longer fixed, necessitating the development of a simple procedure to calibrate detector geometry after reconfiguration. We describe a simple and robust method for determining the geometry of segmented X-ray detectors using measurements obtained by serial crystallography. By comparing the location of observed Bragg peaks to the spot locations predicted from the crystal indexing procedure, the position, rotation and distance of each module relative to the interaction region can be refined. We show that the refined detector geometry greatly improves the results of experiments. #245734Received 17 Boutet, M. Messerschmidt, and I. Schlichting, "De novo protein crystal structure determination from X-ray freeelectron laser data," Nature 505(7482), 244-247 (2013). 23. M. Schmidt, K. Pande, S. Basu, and J. Tenboer, "Room temperature structures beyond 1.5 Å by serial femtosecond crystallography," Struct. Dyn. 2(4), 041708 (2015).

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Percival: An International Collaboration to Develop a MAPS-based Soft X-ray Imager

Cited by 15 publications

References 2 publications

Characterisation of a PERCIVAL monolithic active pixel prototype using synchrotron radiation

Characterisation of a PERCIVAL monolithic active pixel prototype using synchrotron radiation

Technology Needs for Modular Pixel Detectors

Accurate determination of segmented X-ray detector geometry

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