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Dive into the research topics where Murray John Jensen is active.

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Featured researches published by Murray John Jensen.


SRI 2009, 10TH INTERNATIONAL CONFERENCE ON RADIATION INSTRUMENTATION | 2010

The Maia Spectroscopy Detector System: Engineering for Integrated Pulse Capture, Low-Latency Scanning and Real-Time Processing

Robin Kirkham; Paul Dunn; A. Kuczewski; D. P. Siddons; R. Dodanwela; Gareth Moorhead; C.G. Ryan; G. De Geronimo; R. Beuttenmuller; Donald A. Pinelli; M. Pfeffer; P. Davey; Murray John Jensen; David Paterson; M. D. de Jonge; Daryl L. Howard; M. Küsel; J. McKinlay

The Maia detector system is engineered for energy dispersive x‐ray fluorescence spectroscopy and elemental imaging at photon rates exceeding 107/s, integrated scanning of samples for pixel transit times as small as 50μs and high definition images of 108 pixels and real‐time processing of detected events for spectral deconvolution and online display of pure elemental images. The system developed by CSIRO and BNL combines a planar silicon 384 detector array, application‐specific integrated circuits for pulse shaping and peak detection and sampling and optical data transmission to an FPGA‐based pipelined, parallel processor. This paper describes the system and the underpinning engineering solutions.


Journal of Physics: Conference Series | 2014

Maia X-ray fluorescence imaging: Capturing detail in complex natural samples

C.G. Ryan; D. P. Siddons; Robin Kirkham; Z. Li; M. D. de Jonge; David Paterson; A. Kuczewski; Daryl L. Howard; Paul Dunn; G. Falkenberg; U. Boesenberg; G. De Geronimo; Louise Fisher; A Halfpenny; Melvyn Lintern; Enzo Lombi; K A Dyl; Murray John Jensen; Gareth Moorhead; James S. Cleverley; Robert M. Hough; Bélinda Godel; Stephen J. Barnes; Simon A. James; Kathryn Spiers; M Alfeld; G. Wellenreuther; Z Vukmanovic; Stacey J. Borg

Motivated by the challenge of capturing complex hierarchical chemical detail in natural material from a wide range of applications, the Maia detector array and integrated realtime processor have been developed to acquire X-ray fluorescence images using X-ray Fluorescence Microscopy (XFM). Maia has been deployed initially at the XFM beamline at the Australian Synchrotron and more recently, demonstrating improvements in energy resolution, at the P06 beamline at Petra III in Germany. Maia captures fine detail in element images beyond 100 M pixels. It combines a large solid-angle annular energy-dispersive 384 detector array, stage encoder and flux counter inputs and dedicated FPGA-based real-time event processor with embedded spectral deconvolution. This enables high definition imaging and enhanced trace element sensitivity to capture complex trace element textures and place them in a detailed spatial context. Maia hardware and software methods provide per pixel correction for dwell, beam flux variation, dead-time and pileup, as well as off-line parallel processing for enhanced throughput. Methods have been developed for real-time display of deconvoluted SXRF element images, depth mapping of rare particles and the acquisition of 3D datasets for fluorescence tomography and XANES imaging using a spectral deconvolution method that tracks beam energy variation.


American Mineralogist | 2010

Reduced As components in highly oxidized environments: Evidence from full spectral XANES imaging using the Maia massively parallel detector

Barbara Etschmann; C.G. Ryan; Joël Brugger; Robin Kirkham; Robert M. Hough; G. F. Moorhead; D. P. Siddons; G. De Geronimo; A. Kuczewski; Paul Dunn; David Paterson; M. D. de Jonge; Daryl L. Howard; P. Davey; Murray John Jensen

Abstract Synchrotron X-ray fluorescence (SXRF) and X-ray absorption spectroscopy (XAS) have become standard tools to measure element concentration, distribution at micrometer- to nanometer-scale, and speciation (e.g., nature of host phase; oxidation state) in inhomogeneous geomaterials. The new Maia X-ray detector system provides a quantum leap for the method in terms of data acquisition rate. It is now possible to rapidly collect fully quantitative maps of the distribution of major and trace elements at micrometer spatial resolution over areas as large as 1 × 5 cm2. Fast data acquisition rates also open the way to X-ray absorption near-edge structure (XANES) imaging, in which spectroscopic information is available at each pixel in the map. These capabilities are critical for studying inhomogeneous Earth materials. Using a 96-element prototype Maia detector, we imaged thin sections of an oxidized pisolitic regolith (2 × 4.5 mm2 at 2.5 × 2.5 μm2 pixel size) and a metamorphosed, sedimentary exhalative Mn-Fe ore (3.3 × 4 mm2 at 1.25 × 5 μm2). In both cases, As K-edge XANES imaging reveals localized occurrence of reduced As in parts of these oxidized samples, which would have been difficult to recognize using traditional approaches.


Journal of Physics: Conference Series | 2009

High-throughput X-ray fluorescence imaging using a massively parallel detector array, integrated scanning and real-time spectral deconvolution

C.G. Ryan; D. P. Siddons; G. F. Moorhead; Robin Kirkham; G. De Geronimo; B E Etschmann; A. Dragone; Paul Dunn; A. Kuczewski; P. Davey; Murray John Jensen; J M Ablett; J. Kuczewski; R Hough; David Paterson

A step improvement in X-ray fluorescence imaging performance is demonstrated through close integration of a large detector array, dedicated data acquisition, stage control and real-time parallel data processing, to achieve efficient elemental imaging with <1 ms per pixel, image sizes in excess of 4 megapixels, full-spectral data collection and spectral deconvolution, at detected photon rates up to 6 M/s, in prototype tests at the NSLS using a 96 detector array.


Proceedings of SPIE | 2013

The Maia detector array and x-ray fluorescence imaging system: locating rare precious metal phases in complex samples

C.G. Ryan; D. P. Siddons; Robin Kirkham; Z. Li; M. D. de Jonge; David Paterson; James S. Cleverley; A. Kuczewski; Paul Dunn; Murray John Jensen; G. De Geronimo; Daryl L. Howard; Bélinda Godel; K. A. Dyl; Louise Fisher; R. H. Hough; Stephen J. Barnes; P. A. Bland; Gareth Moorhead; Simon A. James; Kathryn Spiers; G. Falkenberg; U. Boesenberg; G. Wellenreuther

X-ray fluorescence images acquired using the Maia large solid-angle detector array and integrated real-time processor on the X-ray Fluorescence Microscopy (XFM) beamline at the Australian Synchrotron capture fine detail in complex natural samples with images beyond 100M pixels. Quantitative methods permit real-time display of deconvoluted element images and for the acquisition of large area XFM images and 3D datasets for fluorescence tomography and chemical state (XANES) imaging. This paper outlines the Maia system and analytical methods and describes the use of the large detector array, with a wide range of X-ray take-off angles, to provide sensitivity to the depth of features, which is used to provide an imaging depth contrast and to determine the depth of rare precious metal particles in complex geological samples.


Archive | 1993

An object monitoring system

Glen William Auty; Peter Corke; Paul Dunn; Ian Barry Macintyre; Dennis Charles Mills; Benjamin Francis Simons; Murray John Jensen; Rodney Lavis Knight; David Stuart Pierce; Ponnampalam Balakumar


Nuclear Instruments & Methods in Physics Research Section B-beam Interactions With Materials and Atoms | 2010

The Maia 384 detector array in a nuclear microprobe: A platform for high definition PIXE elemental imaging

C.G. Ryan; Robin Kirkham; D. P. Siddons; Paul Dunn; Jamie S. Laird; A. Kuczewski; G. F. Moorhead; G. De Geronimo; P. Davey; Murray John Jensen; David Paterson; M. D. de Jonge; Daryl L. Howard; Robert M. Hough


Cameras and Systems for Electronic Photography and Scientific Imaging | 1995

Image acquisition system for traffic monitoring applications

Glen William Auty; Peter Corke; Paul Dunn; Murray John Jensen; Ian Barry Macintyre; Dennis Charles Mills; Hao Nguyen; Ben Simons


Microscopy and Microanalysis | 2018

Maia Mapper: High Definition XRF Imaging of Geological Samples at Intermediate Spatial Scales

C.G. Ryan; Robin Kirkham; David Parry; Gareth Moorhead; Murray John Jensen; Steve Hogan; Andrew Faulks; Paul Dunn; Roshan Dodanwela; Louise Fisher; Mark A. Pearce; Pete Siddons; Anthony Kuczewski; Ulf Lundstrom; Alexia Trolliet; Ning Gao


Microscopy and Microanalysis | 2018

The Maia Detector Journey: Development, Capabilities and Applications

C.G. Ryan; D. P. Siddons; Robin Kirkham; A. Kuczewski; Paul Dunn; G. De Geronimo; A. Dragone; Z. Li; G. F. Moorhead; Murray John Jensen; David Paterson; M. D. de Jonge; Daryl L. Howard; R. Dodanwela; G. A. Carini; R. Beuttenmuller; Donald A. Pinelli; Louise Fisher; Robert M. Hough; A Pagès; Simon A. James; P. Davey

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Paul Dunn

Commonwealth Scientific and Industrial Research Organisation

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C.G. Ryan

Commonwealth Scientific and Industrial Research Organisation

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Robin Kirkham

Commonwealth Scientific and Industrial Research Organisation

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A. Kuczewski

Brookhaven National Laboratory

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D. P. Siddons

Brookhaven National Laboratory

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P. Davey

Commonwealth Scientific and Industrial Research Organisation

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G. De Geronimo

Brookhaven National Laboratory

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