Status of MEGAlib´s real-time analysis tool Realta

Author

Zoglauer, Andreas ; Galloway, Michelle ; Amman, Mark ; Boggs, Steven E.

Author_Institution

Space Sci. Lab., Univ. of California at Berkeley, Berkeley, CA, USA

fYear

2011

fDate

23-29 Oct. 2011

Firstpage

1344

Lastpage

1348

Abstract

Realta is the real-time analyzer of MEGAlib, a software tool to simulate and analyze the data from soft-to-medium-energy gamma-ray detectors in space and on the ground. Realta encompasses the complete data analysis path which ranges from coincidence determination, Compton scatter and pair creation event reconstruction, event selection, image reconstruction to spectral identification. Realta is highly multi-threaded to fully utilize today´s multi-core CPUs and to enable real-time processing. Taking advantage of the versatility of MEGAlib, Realta can be applied to a wide variety of gamma-ray detectors (pixel detectors, strip detectors) and measurement scenarios (near field 2D and 3D, far field). Realta and MEGAlib are open source, freely available, written in C++, and based on ROOT.

Keywords

C++ language; Compton effect; coincidence techniques; data analysis; gamma-ray detection; high energy physics instrumentation computing; image reconstruction; multi-threading; multiprocessing systems; position sensitive particle detectors; public domain software; real-time systems; semiconductor counters; software tools; C++; Compton scatter; MEGAlib real-time analysis tool; ROOT; Realta tool; coincidence determination; data analysis; event selection; image reconstruction; multicore CPU; multithreaded CPU; pair creation event reconstruction; pixel detector; real-time analyzer; real-time processing; soft-to-medium-energy gamma-ray detector; software tool; spectral identification; strip detector; IP networks; Image reconstruction; Irrigation; Real time systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2011 IEEE

Conference_Location

Valencia

ISSN

1082-3654

Print_ISBN

978-1-4673-0118-3

Type

conf

DOI

10.1109/NSSMIC.2011.6154613

Filename

6154613