Data

Synchrotron Data - Ryan Petra (Nov 2016) - Extensions of Quick XAS Imaging for radiation sensitive samples

Commonwealth Scientific and Industrial Research Organisation
Ryan, Chris ; Moorhead, Gareth ; Kirkham, Robin ; Spiers, Kathryn ; Boesenberg, Ulrike ; Garrevoet, Jan ; Falkenberg, Gerald ; Paterson, David
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.25919/ypn6-gh09&rft.title=Synchrotron Data - Ryan Petra (Nov 2016) - Extensions of Quick XAS Imaging for radiation sensitive samples&rft.identifier=https://doi.org/10.25919/ypn6-gh09&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=Beamline P06 at Petra III will allow us to form XANES images at 500 nm spatial resolution and investigate schemes using various EXY axis ordering to improve the stability and reliability of XANES imaging against the effects of stage position drifts with time, thermal damage effects and energy reproducibility. The Boesenberg/ Ryan P06 experiment of 2015, achieved significant success in the first attempt at a “fast” energy axis in XAS imaging, but was limited by large overheads. The flexibility we now have will be used to investigate different compromises, such as E as the second-fastest axis, which may marry adequate spatial drift stability and reduced damage at short pixel dwell\rtimes, uneven E steps and alleviated overheads. Although much of this cannot be done routinely at XFM at the AS at this time, there is strong interest and an ongoing collaboration between XFM (Paterson), P06 and Maia/GeoPIXE development at CSIRO.Lineage: Data was produced using the Maia 384 element detector array on the P06 X-ray microprobe beamline of the Petra III Synchrotron, DESY, Hamburg, and processed using the GeoPIXE software package.&rft.creator=Ryan, Chris &rft.creator=Moorhead, Gareth &rft.creator=Kirkham, Robin &rft.creator=Spiers, Kathryn &rft.creator=Boesenberg, Ulrike &rft.creator=Garrevoet, Jan &rft.creator=Falkenberg, Gerald &rft.creator=Paterson, David &rft.date=2024&rft.edition=v1&rft_rights=Creative Commons Attribution 4.0 International Licence https://creativecommons.org/licenses/by/4.0/&rft_rights=Access to the data is restricted&rft_rights=All Rights (including copyright) CSIRO 2024.&rft_subject=GeoPIXE&rft_subject=Maia&rft_subject=SXRF&rft_subject=XFM&rft_subject=XRF&rft_subject=imaging&rft_subject=redox&rft_subject=synchrotron&rft_subject=XANES&rft_subject=Plant biochemistry&rft_subject=Plant biology&rft_subject=BIOLOGICAL SCIENCES&rft_subject=Inorganic geochemistry&rft_subject=Geochemistry&rft_subject=EARTH SCIENCES&rft_subject=Resource geoscience&rft_subject=Geology&rft_subject=Earth system sciences&rft_subject=Other earth sciences&rft_subject=Instruments and techniques&rft_subject=Synchrotrons and accelerators&rft_subject=PHYSICAL SCIENCES&rft_subject=Synchrotrons&rft.type=dataset&rft.language=English Access the data
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Beamline P06 at Petra III will allow us to form XANES images at 500 nm spatial resolution and investigate schemes using various EXY axis ordering to improve the stability and reliability of XANES imaging against the effects of stage position drifts with time, thermal damage effects and energy reproducibility. The Boesenberg/ Ryan P06 experiment of 2015, achieved significant success in the first attempt at a “fast” energy axis in XAS imaging, but was limited by large overheads. The flexibility we now have will be used to investigate different compromises, such as E as the second-fastest axis, which may marry adequate spatial drift stability and reduced damage at short pixel dwell\r
times, uneven E steps and alleviated overheads. Although much of this cannot be done routinely at XFM at the AS at this time, there is strong interest and an ongoing collaboration between XFM (Paterson), P06 and Maia/GeoPIXE development at CSIRO.
Lineage: Data was produced using the Maia 384 element detector array on the P06 X-ray microprobe beamline of the Petra III Synchrotron, DESY, Hamburg, and processed using the GeoPIXE software package.

Available: 2024-04-09

Data time period: 2016-11-01 to 2016-11-01

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Subjects
Biological Sciences | Earth Sciences | Earth System Sciences | GeoPIXE | Geochemistry | Geology | Inorganic Geochemistry | Instruments and Techniques | Maia | Other Earth Sciences | Physical Sciences | Plant Biochemistry | Plant Biology | Resource Geoscience | SXRF | Synchrotrons | Synchrotrons and Accelerators | XANES | XFM | XRF | imaging | redox | synchrotron |

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Identifiers
ACN 633 798 857