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Title: The ADAQ framework: An integrated toolkit for data acquisition and analysis with real and simulated radiation detectors

Abstract

Here, the ADAQ framework is a collection of software tools that is designed to streamline the acquisition and analysis of radiation detector data produced in modern digital data acquisition (DAQ) systems and in Monte Carlo detector simulations. The purpose of the framework is to maximize user scientific pro-ductivity by minimizing the effort and expertise required to fully utilize radiation detectors in a variety of scientific and engineering disciplines. By using a single set of tools to span the real and simulation domains, the framework eliminates redundancy and provides an integrated workflow for high-fidelity comparison between experimental and simulated detector performance. Built on the ROOT data analysis framework, the core of the ADAQ framework is a set of Cþþ and Python libraries that enable high-level control of digital DAQ systems and detector simulations with data stored into standardized binary ROOT files for further analysis. Two graphical user interface programs utilize the libraries to create powerful tools: ADAQAcquisition handles control and readout of real-world DAQ systems and ADAQAnalysis provides data analysis and visualization methods for experimental and simulated data. At present, the ADAQ framework supports digital DAQ hardware from CAEN S.p.A. and detector simulations performed in Geant4; however, the modular design willmore » facilitate future extension to other manufacturers and simulation platforms.« less

Authors:
 [1]
  1. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Publication Date:
Research Org.:
Univ. of Michigan, Ann Arbor, MI (United States)
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA), Office of Nonproliferation and Verification Research and Development (NA-22); USDOE Office of Science (SC), Fusion Energy Sciences (FES)
Contributing Org.:
Department of Nuclear Science and Engineering and the Plasma Science and Fusion Center, MIT, Cambridge, MA 02139, USA
OSTI Identifier:
1367516
Alternate Identifier(s):
OSTI ID: 1341760
Grant/Contract Number:  
NA0002534; FG02-94ER54235; FC02-99ER54512
Resource Type:
Accepted Manuscript
Journal Name:
Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment
Additional Journal Information:
Journal Volume: 815; Journal Issue: C; Journal ID: ISSN 0168-9002
Publisher:
Elsevier
Country of Publication:
United States
Language:
English
Subject:
73 NUCLEAR PHYSICS AND RADIATION PHYSICS; data acquisition and analysis; radiation detection; waveform digitization; detector readout; detector simulation

Citation Formats

Hartwig, Zachary S. The ADAQ framework: An integrated toolkit for data acquisition and analysis with real and simulated radiation detectors. United States: N. p., 2016. Web. doi:10.1016/j.nima.2016.01.017.
Hartwig, Zachary S. The ADAQ framework: An integrated toolkit for data acquisition and analysis with real and simulated radiation detectors. United States. https://doi.org/10.1016/j.nima.2016.01.017
Hartwig, Zachary S. Wed . "The ADAQ framework: An integrated toolkit for data acquisition and analysis with real and simulated radiation detectors". United States. https://doi.org/10.1016/j.nima.2016.01.017. https://www.osti.gov/servlets/purl/1367516.
@article{osti_1367516,
title = {The ADAQ framework: An integrated toolkit for data acquisition and analysis with real and simulated radiation detectors},
author = {Hartwig, Zachary S.},
abstractNote = {Here, the ADAQ framework is a collection of software tools that is designed to streamline the acquisition and analysis of radiation detector data produced in modern digital data acquisition (DAQ) systems and in Monte Carlo detector simulations. The purpose of the framework is to maximize user scientific pro-ductivity by minimizing the effort and expertise required to fully utilize radiation detectors in a variety of scientific and engineering disciplines. By using a single set of tools to span the real and simulation domains, the framework eliminates redundancy and provides an integrated workflow for high-fidelity comparison between experimental and simulated detector performance. Built on the ROOT data analysis framework, the core of the ADAQ framework is a set of Cþþ and Python libraries that enable high-level control of digital DAQ systems and detector simulations with data stored into standardized binary ROOT files for further analysis. Two graphical user interface programs utilize the libraries to create powerful tools: ADAQAcquisition handles control and readout of real-world DAQ systems and ADAQAnalysis provides data analysis and visualization methods for experimental and simulated data. At present, the ADAQ framework supports digital DAQ hardware from CAEN S.p.A. and detector simulations performed in Geant4; however, the modular design will facilitate future extension to other manufacturers and simulation platforms.},
doi = {10.1016/j.nima.2016.01.017},
journal = {Nuclear Instruments and Methods in Physics Research. Section A, Accelerators, Spectrometers, Detectors and Associated Equipment},
number = C,
volume = 815,
place = {United States},
year = {Wed Jan 13 00:00:00 EST 2016},
month = {Wed Jan 13 00:00:00 EST 2016}
}

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Cited by: 16 works
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Works referencing / citing this record:

Experimental demonstration of multiple monoenergetic gamma radiography for effective atomic number identification in cargo inspection
journal, April 2018

  • Henderson, Brian S.; Lee, Hin Y.; MacDonald, Thomas D.
  • Journal of Applied Physics, Vol. 123, Issue 16
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