Inferring the spatial and energy distribution of burst sources from peak count rate data

1993 ◽  
Author(s):  
Tom Loredo ◽  
Ira Wasserman
2013 ◽  
Vol 81 ◽  
pp. 76-80 ◽  
Author(s):  
Rares Suvaila ◽  
Iolanda Osvath ◽  
Octavian Sima

Geophysics ◽  
1999 ◽  
Vol 64 (5) ◽  
pp. 1378-1392 ◽  
Author(s):  
Stephen Billings ◽  
Jens Hovgaard

A geometrical detector model of airborne gamma‐ray spectrometry is presented for data acquired using a rectangular detector of arbitrary dimensions. The detector response is modeled by calculating variations in solid angle and detector thickness for sources at different orientations. This gives the total count rate, which is then multiplied by a factor, assumed independent of orientation, to give the peak count rate. The model shows excellent agreement with experimental data collected using a 4.2-liter detector and with Monte Carlo simulations of a 16.8-liter detector. Results for the 4.2-liter crystal showed significant asymmetry. However, for a typical airborne system, with a 16.8-liter crystal, the asymmetry was weak because the detector had about the same solid angle and thickness at any azimuthal angle. The point spread function for the geometrical detector model differed significantly from a uniform detector model, the latter predicting a lower spatial resolution. This implies that surveys designed on the uniform assumption may undersample the signal between flight lines. For example, at 60 m elevation, the area that contributes 90% of the thorium signal is predicted to be 10.9 hectares (ha) for the uniform model and only 7.6 ha for the geometrical model. The model can be extended to incorporate aircraft velocity by convolving the stationary model with a rectangular function. Aircraft velocity can have a substantial influence on the modeled response if long integration times permit significant displacement of sources relative to the height of the aircraft.


2011 ◽  
Vol 48 (3) ◽  
pp. 353-358 ◽  
Author(s):  
Yoichiro SHIMAZU ◽  
Masashi TSUJI ◽  
Tadashi NARABAYASHI

2019 ◽  
Vol 44 (2) ◽  
pp. 64-71
Author(s):  
Dong-Myung Lee ◽  
Binh Do Cong ◽  
Jun-Ho Lee ◽  
In-Young Yeo ◽  
Cheol-Su Kim

2012 ◽  
Vol 73 (3) ◽  
pp. 123-138 ◽  
Author(s):  
Jonathan Knights ◽  
Murali Ramanathan

2020 ◽  
Vol 35 (2) ◽  
pp. 103-108
Author(s):  
Rui Chen ◽  
Cheng-Yuan Luo ◽  
Hai-Tao Wang ◽  
Zhi-Feng Liu ◽  
Xiong-Jie Zhang ◽  
...  

Owing to the influence of continuous running of ground water, the uranium atoms can be separated physically from their daughters for the reason of different solubilities and the uranium deposit often shows the disequilibrium feature between uranium and its daughter products (radium principally). It is important, when spectral gamma ray logging, to quantify the uranium content which can cause inaccuracy of the result. This paper, based on spectral ? ray logging method, proposes a neutron-gamma logging method to determine the coefficient of uranium-radium disequilibrium. In this method, characteristic peak count rate of uranium is taken from prompt fission neutron logging, whereas characteristic peak count rate of radium, thorium and potassium are taken from spectral gamma ray logging. Based on this method, the union logging tool including epithermal neutron, thermal neutron, and gamma detector along with D-T generator, have been developed. The experimental results, in standard model wells, show that this method is in good agreement within 7% in core assay results. It shows that the union neutron-? logging method can be used for field uranium logging jobs.


1987 ◽  
Vol 26 (04) ◽  
pp. 167-171
Author(s):  
G. Zatta ◽  
M. Gallazzi ◽  
A. De Agostini ◽  
A. Albertini ◽  
Maria Radice ◽  
...  

A sequence of RAO first-pass studies (first with 99mTc and then twice with 195mAu) was performed in 18 normal volunteers and in 12 CAD patients using two different types of collimator for medium energy: a standard collimator (MEMS) and a special high-sensitivity collimator (MEHS). The following data were compared: the peak count rate, the net LV end-diastolic counts and the LVEF. Using MEMS the end-diastolic counts acquired were so low (12% of 99mTc average value) that EF standard deviation had a mean value of 0.061 (range 0.045-0.081). With MEHS the following results were obtained: 1. the peak count rate and LV net end-diastolic counts with 195mAu were 55% and 50% respectively, of 99mTc values; 2. a good correlation was shown between LVEF values either with 99mTc and 195mAu (r =.97), or with 195mAu sequential studies (r =.98).


2015 ◽  
Vol 42 (5) ◽  
pp. 0508003 ◽  
Author(s):  
曾智龙 Zeng Zhilong ◽  
朱勇 Zhu Yong ◽  
卢麟 Lu Lin ◽  
张宝富 Zhang Baofu ◽  
吴传信 Wu Chuanxin ◽  
...  

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