Gordon W. McCann, Nathan Turi, Daniel Bazin, Till Schaeffeler, Michael Z. Serikow, Pranjal Singh, Daniela Ramirez Chavez
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引用次数: 0
Abstract
The analysis of Active Target Time Projection Chamber (AT-TPC) data is a complex operation that requires sophisticated algorithms that need to adapt to various non-uniform datasets. This article describes a new analysis framework called Spyral that leverages the powerful tools provided by the Python environment, while remaining flexible and accessible to new users and offering scalable performance on high performance computing platforms. The processes followed to analyze the data are described, and the quality of the results obtained are checked against previously existing analysis software.
期刊介绍:
Section A of Nuclear Instruments and Methods in Physics Research publishes papers on design, manufacturing and performance of scientific instruments with an emphasis on large scale facilities. This includes the development of particle accelerators, ion sources, beam transport systems and target arrangements as well as the use of secondary phenomena such as synchrotron radiation and free electron lasers. It also includes all types of instrumentation for the detection and spectrometry of radiations from high energy processes and nuclear decays, as well as instrumentation for experiments at nuclear reactors. Specialized electronics for nuclear and other types of spectrometry as well as computerization of measurements and control systems in this area also find their place in the A section.
Theoretical as well as experimental papers are accepted.