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1.
Rev Sci Instrum ; 89(7): 073303, 2018 Jul.
Article in English | MEDLINE | ID: mdl-30068099

ABSTRACT

In this work, two compact, permanent magnet, electron spectrometers have been built to measure the electron beam energy at the Dual Axis Radiographic Hydrodynamic Test facility. Using H- and OH- anions, the spectrometers were calibrated at the Special Technologies Laboratory in Santa Barbara, California (USA). The spectrometers were mounted on a custom drift tube that allows the magnet assemblies to be translated, which increases the path length of the electrons traveling through the magnetic field and therefore increases the upper bound of the measurable electron kinetic energy. The measurable range of electron kinetic energies is between 2.8 MeV-4.1 MeV for the first spectrometer and 14.1 MeV-21.1 MeV for the second spectrometer, with an overall measurement uncertainty of 0.32%.

2.
J Fluoresc ; 25(6): 1801-12, 2015 Nov.
Article in English | MEDLINE | ID: mdl-26429345

ABSTRACT

The rate equations found in frequency domain fluorescence spectroscopy are the same as those found in electronics under analog filter theory. Laplace transform methods are a natural way to solve the equations, and the methods can provide solutions for arbitrary excitation functions. The fluorescence terms can be modelled as circuit components and cascaded with drive and detection electronics to produce a global transfer function. Electronics design tools such as SPICE can be used to model fluorescence problems. In applications, such as remote sensing, where detection electronics are operated at high gain and limited bandwidth, a global modelling of the entire system is important, since the filter terms of the drive and detection electronics affect the measured response of the fluorescence signals. The techniques described here can be used to separate signals from fast and slow fluorophores emitting into the same spectral band, and data collection can be greatly accelerated by means of a frequency comb driver waveform and appropriate signal processing of the response. The simplification of the analysis mathematics, and the ability to model the entire detection chain, make it possible to develop more compact instruments for remote sensing applications.

3.
Rev Sci Instrum ; 85(6): 063504, 2014 Jun.
Article in English | MEDLINE | ID: mdl-24985816

ABSTRACT

Energy asymmetry of inter-detector crosstalk from Compton scattering can be exploited to infer the direction to a gamma source. A covariance approach extracts the correlated crosstalk from data streams to estimate matched signals from Compton gammas split over two detectors. On a covariance map the signal appears as an asymmetric cross diagonal band with axes intercepts at the full photo-peak energy of the original gamma. The asymmetry of the crosstalk band can be processed to determine the direction to the radiation source. The technique does not require detector shadowing, masking, or coded apertures, thus sensitivity is not sacrificed to obtain the directional information. An angular precision of better than 1° of arc is possible, and processing of data streams can be done in real time with very modest computing hardware.

4.
Rev Sci Instrum ; 84(1): 013502, 2013 Jan.
Article in English | MEDLINE | ID: mdl-23387645

ABSTRACT

The covariance method exploits fluctuations in signals to recover information encoded in correlations which are usually lost when signal averaging occurs. In nuclear spectroscopy it can be regarded as a generalization of the coincidence technique. The method can be used to extract signal from uncorrelated noise, to separate overlapping spectral peaks, to identify escape peaks, to reconstruct spectra from Compton continua, and to generate secondary spectral fingerprints. We discuss a few statistical considerations of the covariance method and present experimental examples of its use in gamma spectroscopy.

7.
Phys Rev A ; 51(2): R898-R901, 1995 Feb.
Article in English | MEDLINE | ID: mdl-9911778
8.
Phys Rev A ; 50(2): 1593-1606, 1994 Aug.
Article in English | MEDLINE | ID: mdl-9911053
13.
Phys Rev A Gen Phys ; 40(2): 676-682, 1989 Jul 15.
Article in English | MEDLINE | ID: mdl-9902197
14.
Phys Rev A Gen Phys ; 39(7): 3223-3227, 1989 Apr 01.
Article in English | MEDLINE | ID: mdl-9901622
15.
Phys Rev Lett ; 59(20): 2291-2294, 1987 Nov 16.
Article in English | MEDLINE | ID: mdl-10035505
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