Gamma-Ray Spectrometry as a Tool for Exploring Archaeological Nuclear Facilities: A Case Study from the Nevada Test Site Nuclear Rocket Development Station

2020 ◽  
Vol 6 (2) ◽  
pp. 297-321
Author(s):  
Ben W. McGee
Keyword(s):  
Gamma Ray ◽  
Test Site ◽  
Gamma Ray Spectrometry ◽  
Nevada Test Site ◽  
Nuclear Facilities ◽  
Nuclear Rocket

scholarly journals Application of Gamma-ray Spectrometry in Discovering the Granitic Monument of King Pepi I: A Case Study from Hierakonpolis, Aswan, Egypt

2018 ◽  
Vol 176 (4) ◽  
pp. 1639-1647 ◽  
Author(s):  
Akram Aziz ◽  
Tamer Attia ◽  
Liam McNamara ◽  
Renee Friedman
Keyword(s):  
Gamma Ray ◽  
Gamma Ray Spectrometry

Using in situ gamma ray spectrometry (GRS) exploration of buried archaeological structures: A case study from NW Spain

2018 ◽  
Vol 34 ◽  
pp. 247-254 ◽  
Author(s):  
Jorge Sanjurjo-Sánchez ◽  
Carlos Arce Chamorro ◽  
Carlos Alves ◽  
Jose Carlos Sánchez-Pardo ◽  
Rebeca Blanco-Rotea ◽  
...  
Keyword(s):  
Gamma Ray ◽  
Gamma Ray Spectrometry ◽  
Nw Spain

Airborne gamma-ray spectrometry inversion: Case study at Mara Rosa Magmatic Arc, Brazil

2021 ◽  
Author(s):  
Jessica D. Weihermann ◽  
Saulo P. Oliveira ◽  
Yaoguo Li ◽  
Francisco J. F. Ferreira ◽  
Adalene M. Silva
Keyword(s):  
Gamma Ray ◽  
Gamma Ray Spectrometry ◽  
Magmatic Arc

Integration of geologic, geochemical, and geophysical data of the Cement oil field, Oklahoma, using spatial array processing

Geophysics ◽  
1983 ◽  
Vol 48 (10) ◽  
pp. 1305-1317 ◽  
Author(s):  
Patricia Termain Eliason ◽  
Terrence J. Donovan ◽  
Pat S. Chavez
Keyword(s):  
Gamma Ray ◽  
Array Processing ◽  
Data Interpretation ◽  
Test Site ◽  
Oil Field ◽  
Pictorial Representation ◽  
Gamma Ray Spectrometry ◽  
Rectangular Array ◽  
Data Set ◽  
Contour Maps

Geologic, geochemical, and geophysical measurements were made at the Cement oil field, Oklahoma, test site using airborne and spaceborne sensors coupled with ground‐based data collection. The data collected include (1) airborne gamma‐ray spectrometry ([Formula: see text], [Formula: see text], [Formula: see text], and total intensity channels), (2) low‐altitude aeromagnetic profiles, (3) precision gravity measurements, (4) images from the Landsat multispectral scanner (MSS) systems and U-2 photography, and (5) geologic and topographic maps. In order to reduce, analyze, display, and correlate the information, it was necessary to transform the data from vector space to raster space (a two‐dimensional image array) with fixed resolution and array dimension. With the data in array form, spatial array processing techniques were applied to (1) correct geometrically the data for proper registration, (2) perform areal interpolation and smoothing, (3) display the data as images, and (4) perform integration and correlation studies. Each data set was transformed into a rectangular array covering approximately 0.3 degrees of latitude and longitude, with each picture element encompassing [Formula: see text]. Because most variables only sparsely populate the raw image array (i.e., flight line data), the data were interpolated and smoothed using spatial filtering techniques to construct continuous images. The individual data sets were displayed as black and white continuous tone images, color coded to form color contour maps, or manipulated to generate shaded‐relief models. Methods for correlation and data interpretation were systematically investigated by using all available sources. Predetermined factual information (“prior knowledge” correlation statistics) was used to establish grounds for correlation and better define the limits of the data. This kind of data manipulation provided an enhanced pictorial representation of the geologic, geochemical, and geophysical anomalies previously documented at Cement.

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