scholarly journals Survey of Thermal Plasma Composition in Saturn's Magnetosphere Using Time-of-Flight Data From Cassini/CAPS

2018 ◽  
Vol 123 (8) ◽  
pp. 6494-6513 ◽  
Author(s):  
M. Felici ◽  
C. S. Arridge ◽  
R. J. Wilson ◽  
A. J. Coates ◽  
M. Thomsen ◽  
...  
2019 ◽  
Author(s):  
Cornelius Pieterse ◽  
Michiel B. De Kock ◽  
Wesley D. Robertson ◽  
Hans C. Eggers ◽  
R. J. Dwayne Miller

Deconvolution of low-resolution time-of-flight data has numerous advantages including the ability to extract additional information from the experimental data. We augment the well-known Lucy-Richardson deconvolution algorithm by various Bayesian prior distributions and show that a prior of second-differences of the signal outperforms the standard Lucy-Richardson algorithm, accelerating the rate of convergence by more than a factor of four, while preserving the peak amplitude ratios of a similar fraction of the total peaks. A novel stopping criterion and boosting mechanism is implemented to ensure these methods converge to a similar entropy, and that local minima are avoided, respectively. Improvement by a factor of two in mass resolution allows more accurate quantification of the spectra. The general method is demonstrated in this paper by the deconvolution of fragmentation peaks of the DHB matrix, as well as the BTP thermometer ion, following femtosecond ultraviolet laser desorption.


Author(s):  
Malcolm Reynolds ◽  
Jozef Dobos ◽  
Leto Peel ◽  
Tim Weyrich ◽  
Gabriel J Brostow
Keyword(s):  

2019 ◽  
Vol 151 (24) ◽  
pp. 244307
Author(s):  
Cornelius L. Pieterse ◽  
Michiel B. de Kock ◽  
Wesley D. Robertson ◽  
Hans C. Eggers ◽  
R. J. Dwayne Miller

2011 ◽  
Author(s):  
Alexander Seitel ◽  
Thiago R. dos Santos ◽  
Sven Mersmann ◽  
Jochen Penne ◽  
Anja Groch ◽  
...  

1969 ◽  
Vol 76 (1) ◽  
pp. 135-149 ◽  
Author(s):  
J.F. Colwell ◽  
S.R. Lehinan ◽  
P.H. Miller ◽  
W.L. Whittemore

2015 ◽  
Vol 742 ◽  
pp. 118-122
Author(s):  
Liu Yang ◽  
Chun Guang Xu ◽  
Xin Liang Li ◽  
Ye Huang

The aim of this paper is to determine the efficacy of the ring-shaped array used for imaging the objects inside the array. Hyperbola algorithm and ellipse algorithm which are conventionally used in the field of guided wave for locating the defects are developed and combined here to extract the image. Meanwhile, much more phase information is added in this process. Fan-shaped ultrasound radiation is generated separately by the 45 rectangular ultrasonic transducers which are circular embedded in the wall of a container. The time of flight data and the attenuation data are obtained and stored in the A-scan wave of each receiving transducer, subsequently, they are applied for reconstructing the image of all tested objects. The validity of the combined measuring method with phase information is demonstrated by imaging the distributed polyurethane objects.


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