Observations of the galactic center with the GSFC Low-Energy Gamma-Ray Spectrometer: Preliminary results

1982 ◽  
Author(s):  
W. S. Paciesas ◽  
T. L. Cline ◽  
B. J. Teegarden ◽  
J. Tueller ◽  
P. Durouchoux ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Galactic Center ◽  
Low Energy ◽  
Preliminary Results ◽  
Gamma Ray Spectrometer ◽  
Energy Gamma

C-SPRINT: a prototype Compton camera system for low energy gamma ray imaging

2002 ◽  
Author(s):  
J.W. LeBlanc ◽  
N.H. Clinthorne ◽  
C.-H. Hua ◽  
E. Nygard ◽  
W.L. Rogers ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Low Energy ◽  
Compton Camera ◽  
Camera System ◽  
Gamma Ray Imaging ◽  
Energy Gamma

scholarly journals Constraints on the late X-ray radiation from the low-energy gamma-ray burst of December 3, 2003: INTEGRAL data

2006 ◽  
Vol 32 (5) ◽  
pp. 297-301 ◽  
Author(s):  
S. Yu. Sazonov ◽  
A. A. Lutovinov ◽  
E. M. Churazov ◽  
R. A. Sunyaev
Keyword(s):  
Gamma Ray ◽  
Low Energy ◽  
Gamma Ray Burst ◽  
X Ray ◽  
Energy Gamma ◽  
Integral Data

Gamma-Ray Spectrum Analysis of Chang’E-1 for Lunar Detection

2010 ◽  
Vol 133 (5) ◽  
Author(s):  
Xu HongKun ◽  
Fang Fang ◽  
Ni Shijun ◽  
He Jianfeng ◽  
You Lei
Keyword(s):  
Spectral Characteristic ◽  
Spectrum Analysis ◽  
Gamma Ray ◽  
Low Energy ◽  
Elemental Abundance ◽  
Nuclear Engineering ◽  
Gamma Ray Spectrometer ◽  
Lunar Prospector ◽  
Spectrometer Data ◽  
Wavelet Methods

Gamma-ray spectrum analysis was essential for radioactive environmental monitoring, and it had been widely used in many areas of nuclear engineering. However, for the low-energy region of gamma-ray spectrum, weak peaks were contained in the fast-decreasing background, so it was difficult to extract characteristic information from original spectra. In order to get a better analytic result based on wavelet methods in frequency domain, we had processed the gamma-ray spectrometer data of Chang’E-1 and well extracted some useful information of spectral characteristic peaks. Then, we preliminarily mapped the distribution of net peak counts for potassium on lunar surface, which indirectly reflected the distribution of elemental abundance. At last, we compared our analytic result with that of Apollo and Lunar Prospector and found some consistencies and differences.

scholarly journals Convolutional Neural Networks for Low Energy Gamma-Ray Air Shower Identification with HAWC

2021 ◽  
Author(s):  
Ian Watson ◽  
Anushka Udara Abeysekara ◽  
Andrea Albert ◽  
Ruben Alfaro ◽  
César Alvarez ◽  
...  
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Gamma Ray ◽  
Low Energy ◽  
Air Shower ◽  
Energy Gamma

Low Energy Gamma Ray Imager (LEGRI)

1995 ◽  
pp. 183-187 ◽  
Author(s):  
F. Ballesteros ◽  
G. Bernabeu ◽  
A. Giménez ◽  
J. Fabregat ◽  
F. Pérez ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Low Energy ◽  
Energy Gamma
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