Data processing programs for aerial gamma-ray data

1985 ◽  
Author(s):  
Joseph S. Duval1
Keyword(s):  
Data Processing ◽  
Gamma Ray

scholarly journals A python code for automatic construction of Fischer plots using proxy data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daming Yang ◽  
Yongjian Huang ◽  
Zongyang Chen ◽  
Qinghua Huang ◽  
Yanguang Ren ◽  
...  
Keyword(s):  
Data Processing ◽  
Open Source ◽  
Lake Level ◽  
Gamma Ray ◽  
Data Series ◽  
Proxy Data ◽  
Cycle Number ◽  
Automatic Construction ◽  
Natural Gamma ◽  
Graphic Representations

AbstractFischer plots are widely used in paleoenvironmental research as graphic representations of sea- and lake-level changes through mapping linearly corrected variation of accumulative cycle thickness over cycle number or stratum depth. Some kinds of paleoenvironmental proxy data (especially subsurface data, such as natural gamma-ray logging data), which preserve continuous cyclic signals and have been largely collected, are potential materials for constructing Fischer Plots. However, it is laborious to count the cycles preserved in these proxy data manually and map Fischer plots with these cycles. In this paper, we introduce an original open-source Python code “PyFISCHERPLOT” for constructing Fischer Plots in batches utilizing paleoenvironmental proxy data series. The principle of constructing Fischer plots based on proxy data, the data processing and usage of the PyFISCHERPLOT code and the application cases of the code are presented. The code is compared with existing methods for constructing Fischer plots.

Use of 214Pb Photopeaks for Radon Removal: Utilising Current Airborne Gamma-Ray Spectrometer Technology and Data Processing

2005 ◽  
Vol 36 (3) ◽  
pp. 322-328 ◽  
Author(s):  
Pavel Jurza ◽  
Ian Campbell ◽  
Philip Robinson ◽  
Rainer Wackerle ◽  
Pat Cunneen ◽  
...  
Keyword(s):  
Data Processing ◽  
Gamma Ray ◽  
Gamma Ray Spectrometer

scholarly journals The Cherenkov Telescope Array production system for data-processing and Monte Carlo simulation

2019 ◽  
Vol 214 ◽  
pp. 03052
Author(s):  
Luisa Arrabito ◽  
Konrad Bernlöhr ◽  
Johan Bregeon ◽  
Paolo Cumani ◽  
Tarek Hassan ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Data Processing ◽  
Production System ◽  
Gamma Ray ◽  
High Energy ◽  
Data Driven ◽  
Telescope Array ◽  
Cherenkov Telescopes ◽  
Cherenkov Telescope ◽  
La Palma

The Cherenkov Telescope Array (CTA) is the next-generation instrument in the field of very high energy gamma-ray astronomy. It will be composed of two arrays of Imaging Atmospheric Cherenkov Telescopes, located at La Palma (Spain) and Paranal (Chile). The construction of CTA has just started with the installation of the first telescope on site at La Palma and the first data expected by the end of 2018. The scientific operations should begin in 2022 for a duration of about 30 years. The overall amount of data produced during these operations is around 27 PB per year. The associated computing power for data processing and Monte Carlo (MC) simulations is of the order of hundreds of millions of CPU HS06 hours per year. In order to cope with these high computing requirements, we have developed a production system prototype based on the DIRAC framework, that we have intensively exploited during the past 6 years to handle massive MC simulations on the grid for the CTA design and prototyping phases. CTA workflows are composed of several inter-dependent steps, which we used to handle separately within our production system. In order to fully automatize the whole workflows execution, we have partially revised the production system by further enhancing the data-driven behavior and by extending the use of meta-data to link together the different steps of a workflow. In this contribution we present the application of the production system to the last years MC campaigns as well as the recent production system evolution, intended to obtain a fully data-driven and automatized workflow execution for efficient processing of real telescope data.

scholarly journals Data-processing strategies for crossed-strip gamma-ray detectors

2008 ◽  
Author(s):  
Heather L. Durko ◽  
Benjamin S. McDonald ◽  
Sepideh Shokouhi ◽  
Lars R. Furenlid ◽  
Harrison H. Barrett ◽  
...  
Keyword(s):  
Data Processing ◽  
Gamma Ray ◽  
Gamma Ray Detectors ◽  
Processing Strategies
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