学术文献库

Nuclear materials accountability and nonproliferation are among the critical tasks to be addressed for the advancement of nuclear energy in the United States. Monitoring spent nuclear fuel is important to continue reliable stewardship of SNF storage. Cosmic ray muons have been acknowledged a promising radiographic tool for monitoring SNF due to their highly penetrative nature and high energy. Cosmic ray muons are more suitable and have been used for imaging large and dense objects. Despite their potential in various applications, the wide application of cosmic ray muons is limited by the naturally low intensity at sea level. To efficiently utilize cosmic ray muons in engineering applications, trajectory and momentum must be measured. Although various studies demonstrate that there is significant potential for measuring momentum in muon applications, it is still difficult to measure both muon scattering angle and momentum in the field. To fill this critical gap, a muon spectrometer using multilayer pressurized gas Cherenkov radiators was proposed. However, existing muon tomographic algorithms were developed assuming monoenergetic muon scattering and are not optimized for a measured polyenergetic momentum spectrum. In this work, we develop and evaluate a momentum integrated muon scattering tomography algorithm. We evaluate the algorithm on its capability to identify a missing fuel assembly from a SNF dry cask. Our results demonstrate that image resolution using MMST is significantly improved when measuring muon momentum and it can reduce monitoring time by a factor of 10 when compared to that of a conventional muon imaging technique in terms of systematically finding a missing FA.