Skip to main content
U.S. Department of Energy
Office of Scientific and Technical Information

Questionnaire for Radioisotope Identification and Estimation from Gamma Spectra using PyRIID v2

Technical Report ·
DOI:https://doi.org/10.2172/2229893· OSTI ID:2229893
 [1]
  1. Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)

Accurate targeting of radioisotope classifiers and estimators requires an understanding of the target problem space. In order to facilitate clear communication on expected model behavior and performance between practitioners and stakeholders on their problems, this questionnaire was created. Stakeholder responses form the basis of a trained model as well as the start of usage requirements for the model as it is integrated with analysis processes or detection systems. This questionnaire may also be useful to machine learning practitioners and gamma spectroscopists developing new algorithms as a starting point for characterizing their problem space, especially if they are using PyRIID.

Research Organization:
Sandia National Laboratories (SNL-CA), Livermore, CA (United States); Sandia National Laboratories (SNL-NM), Albuquerque, NM (United States)
Sponsoring Organization:
USDOE National Nuclear Security Administration (NNSA), Office of Defense Nuclear Nonproliferation
DOE Contract Number:
NA0003525
OSTI ID:
2229893
Report Number(s):
SAND--2023-11060
Country of Publication:
United States
Language:
English

Similar Records

Controlling radioisotope proportions when randomly sampling from Dirichlet distributions in PyRIID
Technical Report · Wed Jan 31 23:00:00 EST 2024 · OSTI ID:2335905

PyRIID v.2.0.0
Software · Tue Apr 27 20:00:00 EDT 2021 · OSTI ID:code-60182

Radioisotope Identification with List-Mode Gamma Ray Data: A rigorous assessment on the value of temporal information applied to radioisotope identification.
Technical Report · Fri Nov 01 00:00:00 EDT 2024 · OSTI ID:2480167