Andrew Osborne

Colorado School of Mines

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Mark Deinert

Colorado School of Mines

Guillaume L’Her

Colorado School of Mines

Justin D. Lowrey

Pacific Northwest National Laboratory

Sara L. Sawyer

University of Colorado Boulder

Gonzalo García Gil-Delgado

Colorado School of Mines

Joffrey Dorville

Colorado School of Mines

R.R. Flanagan

Colorado School of Mines

N. A. Duncan

Colorado School of Mines

S. R. Biegalski

Georgia Institute of Technology

Jessica J. Berry

Colorado School of Mines

Cooperative Institutions

Colorado School of Mines

The University of Texas at Austin

Cornell University

Idaho National Laboratory

Pacific Northwest National Laboratory

Battelle

Government of the United States of America

Kansas State University

University of Colorado Boulder

Mission Therapeutics (United Kingdom)

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Comparison of neutron diffusion and Monte Carlo simulations of a fission wave

Annals of Nuclear Energy (2013)

Andrew Osborne Mark Deinert

10.1016/j.anucene.2013.06.023

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Citations (13)

Neutron escape probabilities in 3-D reentrant geometries computed using ray tracing

Annals of Nuclear Energy (2020)

Joffrey Dorville Andrew Osborne

Neutron Transport

Benchmark (surveying)

Tracing

Reentrancy

10.1016/j.anucene.2020.107425

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Citations (1)

Estimating the effect of non-pharmaceutical interventions on US SARS-CoV-2 infections in the first year of the pandemic

Royal Society Open Science (2022)

N. A. Duncan Guillaume L’Her Andrew Osborne Sara L. Sawyer Mark Deinert

SARS-CoV-2 emerged in late 2019 as a zoonotic infection of humans, and proceeded to cause a worldwide pandemic of historic magnitude. Here, we use a simple epidemiological model and consider the full range of initial estimates from published studies for infection and recovery rates, seasonality, changes in mobility, the effectiveness of masks and the fraction of people wearing them. Monte Carlo simulations are used to simulate the progression of possible pandemics and we show a match for the real progression of the pandemic during 2020 with an R 2 of 0.91. The results show that the combination of masks and changes in mobility avoided approximately 248.3 million ( σ = 31.2 million) infections in the US before vaccinations became available.

Pandemic

2019-20 coronavirus outbreak

Influenza pandemic

10.1098/rsos.210875

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Localized economic and environmental benefits of residential solar in the United States

Renewable Energy (2024)

Guillaume L’Her Andrew Osborne R.R. Flanagan Mark Deinert

Carbon Footprint

Carbon tax

10.1016/j.renene.2024.120433

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Citations (1)

Subsurface mass transport affects the radioxenon signatures that are used to identify clandestine nuclear tests

Geophysical Research Letters (2012)

Justin D. Lowrey S. R. Biegalski Andrew Osborne Mark Deinert

Abstract The ratios of noble gas radioisotopes can provide critical information with which to verify that a belowground nuclear test has taken place. The relative abundance of anthropogenic isotopes is typically assumed to rely solely on their fission yield and decay rate. The xenon signature of a nuclear test is then bounded by the signal from directly produced fission xenon, and by the signal that would come from the addition of xenon from iodine precursors. Here we show that this signal range is too narrowly defined. Transport simulations were done to span the range of geological conditions within the Nevada Test Site. The simulations assume a 1 kt test and the barometric history following the nuclear test at Pahute Mesa in March 1992. Predicted xenon ratios fall outside of the typically assumed range 20% of the time and situations can arise where the ground level signal comes entirely from the decay of iodine precursors.

10.1029/2012gl053885

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Citations (35)

Classification of group structures for a multigroup collision probability model using machine learning

Annals of Nuclear Energy (2021)

Jessica J. Berry Gonzalo García Gil-Delgado Andrew Osborne

Hyperparameter

10.1016/j.anucene.2021.108367

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Citations (4)