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Dive into the research topics where Ian Hoffman is active.

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Featured researches published by Ian Hoffman.


Journal of Environmental Radioactivity | 2012

Analysis of data from sensitive U.S. monitoring stations for the Fukushima Dai-ichi nuclear reactor accident

S. R. Biegalski; Theodore W. Bowyer; Paul W. Eslinger; J.A. Friese; Lawrence R. Greenwood; Derek A. Haas; James C. Hayes; Ian Hoffman; Martin E. Keillor; Harry S. Miley; M. Moring

The March 11, 2011 9.0 magnitude undersea megathrust earthquake off the coast of Japan and subsequent tsunami waves triggered a major nuclear event at the Fukushima Dai-ichi nuclear power station. At the time of the event, units 1, 2, and 3 were operating and units 4, 5, and 6 were in a shutdown condition for maintenance. Loss of cooling capacity to the plants along with structural damage caused by the earthquake and tsunami resulted in a breach of the nuclear fuel integrity and release of radioactive fission products to the environment. Fission products started to arrive in the United States via atmospheric transport on March 15, 2011 and peaked by March 23, 2011. Atmospheric activity concentrations of (131)I reached levels of 3.0×10(-2) Bqm(-3) in Melbourne, FL. The noble gas (133)Xe reached atmospheric activity concentrations in Ashland, KS of 17 Bqm(-3). While these levels are not health concerns, they were well above the detection capability of the radionuclide monitoring systems within the International Monitoring System of the Comprehensive Nuclear-Test-Ban Treaty.


Journal of Environmental Radioactivity | 2009

Increased environmental gamma-ray dose rate during precipitation: a strong correlation with contributing air mass

Jean-Francois Mercier; Bliss L. Tracy; R. d'Amours; F. Chagnon; Ian Hoffman; Ed Korpach; Sonia Johnson; R.K. Ungar

It has long been observed that the environmental gamma-ray dose rate increases noticeably during precipitation intervals. This increase, due to the presence of radon progeny in the rain droplets (or snow flakes), can affect the reliability of the monitoring of artificial radioactivity and long term estimates of exposure to ambient natural radionuclides in surveillance network. Predicting the amplitude of the dose increase has been shown to be surprisingly challenging. In this work, standard air mass back trajectory analysis is used to show that the amplitude of the increase can be quantitatively linked to the history of the air mass where the precipitation is occurring. Furthermore, we show how back trajectory analysis, environmental gamma and rain data can be used to obtain estimations of relative radon emanation rates for locations far from the actual point of detection.


Journal of Environmental Radioactivity | 2016

International challenge to predict the impact of radioxenon releases from medical isotope production on a comprehensive nuclear test ban treaty sampling station.

Paul W. Eslinger; Ted W. Bowyer; Pascal Achim; Tianfeng Chai; Benoit Deconninck; Katie Freeman; Sylvia Generoso; Philip Hayes; Verena Heidmann; Ian Hoffman; Yuichi Kijima; Monika Krysta; Alain Malo; Christian Maurer; Fantine Ngan; Peter Robins; J. Ole Ross; Olivier Saunier; Clemens Schlosser; Michael Schöppner; Brian T. Schrom; Petra Seibert; Ariel F. Stein; Kurt Ungar; Jing Yi

The International Monitoring System (IMS) is part of the verification regime for the Comprehensive Nuclear-Test-Ban-Treaty Organization (CTBTO). At entry-into-force, half of the 80 radionuclide stations will be able to measure concentrations of several radioactive xenon isotopes produced in nuclear explosions, and then the full network may be populated with xenon monitoring afterward. An understanding of natural and man-made radionuclide backgrounds can be used in accordance with the provisions of the treaty (such as event screening criteria in Annex 2 to the Protocol of the Treaty) for the effective implementation of the verification regime. Fission-based production of (99)Mo for medical purposes also generates nuisance radioxenon isotopes that are usually vented to the atmosphere. One of the ways to account for the effect emissions from medical isotope production has on radionuclide samples from the IMS is to use stack monitoring data, if they are available, and atmospheric transport modeling. Recently, individuals from seven nations participated in a challenge exercise that used atmospheric transport modeling to predict the time-history of (133)Xe concentration measurements at the IMS radionuclide station in Germany using stack monitoring data from a medical isotope production facility in Belgium. Participants received only stack monitoring data and used the atmospheric transport model and meteorological data of their choice. Some of the models predicted the highest measured concentrations quite well. A model comparison rank and ensemble analysis suggests that combining multiple models may provide more accurate predicted concentrations than any single model. None of the submissions based only on the stack monitoring data predicted the small measured concentrations very well. Modeling of sources by other nuclear facilities with smaller releases than medical isotope production facilities may be important in understanding how to discriminate those releases from releases from a nuclear explosion.


International Scholarly Research Notices | 2014

Bayesian Inference for Source Reconstruction: A Real-World Application

Eugene Yee; Ian Hoffman; Kurt Ungar

This paper applies a Bayesian probabilistic inferential methodology for the reconstruction of the location and emission rate from an actual contaminant source (emission from the Chalk River Laboratories medical isotope production facility) using a small number of activity concentration measurements of a noble gas (Xenon-133) obtained from three stations that form part of the International Monitoring System radionuclide network. The sampling of the resulting posterior distribution of the source parameters is undertaken using a very efficient Markov chain Monte Carlo technique that utilizes a multiple-try differential evolution adaptive Metropolis algorithm with an archive of past states. It is shown that the principal difficulty in the reconstruction lay in the correct specification of the model errors (both scale and structure) for use in the Bayesian inferential methodology. In this context, two different measurement models for incorporation of the model error of the predicted concentrations are considered. The performance of both of these measurement models with respect to their accuracy and precision in the recovery of the source parameters is compared and contrasted.


Journal of Radioanalytical and Nuclear Chemistry | 2017

Detection efficiency calculations using Geant4 for a broad-energy germanium gamma spectrometer

Chuanlei Liu; Kurt Ungar; Dylan Pierce; Ian Hoffman; Weihua Zhang

In assistance of radionuclide measurements at Canada’s Comprehensive Nuclear-Test-Ban Treaty (CTBT) laboratory, a Geant4 Monte Carlo application has been developed in simulating a broad-energy germanium detector and calculating detection efficiencies. The detector model was optimized in a reliable and non-biased manner through simultaneous tuning on gap distance and detector dimension, and was validated over various realistic measurement scenarios. All work is based on a series of experiments which covers the typical energy range of gamma radiation in environmental analysis, and considers the variety of the CTBT sample type, dimension and distance-to-detector. In all cases, the predicted efficiencies are consistent with the empirical ones within 5%, with a typical deviation of 3% in majority.


Journal of Environmental Radioactivity | 2017

Analysis of 22Na using a spectral summation technique on high-volume aerosol samples

Ian Hoffman; B. Lewis; P. Chan; Kurt Ungar

Measurement of cosmogenic 22Na in daily aerosol samples is often difficult due to low atmospheric production rates. A new technique based upon spectral summation of sequential high-volume aerosol samples to measure 22Na is described and validated. This summation technique has broad applications to any detection system that produces sequential representative sample measurements in which radioisotopes are just below the detection limit, provided the energy calibration is stable. It is anticipated that a global dataset of this radionuclide will have many important environmental science applications.


Journal of Radioanalytical and Nuclear Chemistry | 2012

Fukushima event reconstruction using modelling and isotope relationships

Ian Hoffman; Ed Korpach; Pawel Mekarski; Kurt Ungar; Jing Yi; Weihua Zhang; Mikael Moring; Vladimir Khotylev; Ali El-Jaby

Using particulate and noble gas raw data analysed from Comprehensive Nuclear Test-Ban-Treaty (CTBT) monitoring sites, Canadian National Surveillance networks and atmospheric transport modelling, it is possible to associate some of the main events in the Fukushima accident timeline with observations, and perturbations in isotopic ratios in Japan, through the Pacific and into North America. Additional sources identified during the accident period will be commented upon in the context of CTBT treaty verification.


Journal of Environmental Radioactivity | 2018

Circulation of cosmogenic 22 Na using the global monitoring network of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO)

Ian Hoffman; B. Lewis; P. Chan

Using a recently published global data set of 22Na and 7Be from the global monitoring network of the Comprehensive Nuclear-Test-Ban Treaty Organization (CTBTO), atmospheric circulation and stratosphere-troposphere interactions are examined. Cosmogenic 22Na has a half-life well-suited to environmental processes with durations from several months to a decade. Combined with corresponding 7Be observations, these two cosmogenic isotopes form a useful environmental tracer and new radiochronometer to study physical interactions of air masses in the stratosphere and troposphere.


IEEE Transactions on Nuclear Science | 2017

Design and Optimization of a Dual-HPGe Gamma Spectrometer and Its Cosmic Veto System

Weihua Zhang; Hyunje Ro; Chuanlei Liu; Ian Hoffman; Kurt Ungar

In this paper, a dual high purity germanium (HPGe) gamma spectrometer detection system with an increased solid angle was developed. The detection system consists of a pair of Broad Energy Germanium (BE-5030p) detectors and an XIA LLC digital gamma finder/Pixie-4 data-acquisition system. A data file processor was developed containing five modules that parses Pixie-4 list-mode data output files and classifies detections into anticoincident/coincident events and their specific coincidence types (double/triple/quadruple) for further analysis. A novel cosmic veto system was installed in the detection system. It was designed to be easy to install around an existing system while still providing sufficient cosmic veto shielding comparable to other designs. This paper describes the coverage and efficiency of this cosmic veto and the data processing system. It has been demonstrated that the cosmic veto system can provide a mean background reduction of 66.1%, which results in a mean MDA improvement of 58.3%. The counting time to meet the required MDA for specific radionuclide can be reduced by a factor of 2-3 compared to those using a conventional HPGe system. This paper also provides an initial overview of coincidence timing distributions between an incoming event from a cosmic veto plate and HPGe detector.


Archive | 2011

WOSMIP II- Workshop on Signatures of Medical and Industrial Isotope Production

Murray Matthews; Pascal Achim; Matthias Auer; Randy Bell; Ted W. Bowyer; Damien Braekers; Ed Bradley; Budi Briyatmoko; Helena Berglund; Johan Camps; Eduardo C. Carranza; Fitz Carty; Richard DeCaire; Benoit Deconninck; Lars E. DeGeer; Michael Druce; Judah I. Friese; Robert Hague; Ian Hoffman; Kirill Khrustalev; John C. Lucas; G. Mattassi; Aleski Mattila; Elisabetta Nava; Mika Nikkinin; Constantin Papastefanou; Gregory R. Piefer; Eduardo Quintana; Ole Ross; Michel Rotty

Medical and industrial fadioisotopes are fundamental tools used in science, medicine and industry with an ever expanding usage in medical practice where their availability is vital. Very sensitive environmental radionuclide monitoring networks have been developed for nuclear-security-related monitoring [particularly Comprehensive Test-Ban-Treaty (CTBT) compliance verification] and are now operational.

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Paul W. Eslinger

Pacific Northwest National Laboratory

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Ted W. Bowyer

Pacific Northwest National Laboratory

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Mikael Moring

Radiation and Nuclear Safety Authority

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B. Lewis

Royal Military College of Canada

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