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Program - Brookhaven National Laboratory

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<strong>Laboratory</strong> Physics Association’s current efforts to ”modernize” undergraduate laboratory courses nationwide<br />

(with an emphasis on affordable ”single-photon” experiments), it is important for instructors to be<br />

conscious of the specific issues students face with the concepts behind such experiments, in particular<br />

because of the black-box nature of the apparatus. This talk will also stress the importance of semi-classical<br />

models of light detection, so that students can properly interpret their experimental data, and engage in<br />

a true contrasting of competing theories, instead of simple ”confirmation”.<br />

PR 72<br />

Nuclear and Particle Physics Outreach at the Sanford Underground Research Facility<br />

Peggy McMahan Norris, Benedict Sayler, Black Hills State University.<br />

The Sanford Underground Research Facility in Lead, SD provides the facility and infrastructure for scientists<br />

to study some of the most compelling questions about the history and fate of our universe through<br />

its major experiments searching for direct evidence of dark matter and exploring the nature of neutrinos.<br />

Early experiments currently in the installation phase are LUX, a direct search for dark matter (supported<br />

by the U.S. high energy physics program), and the Majorana Demonstrator, a search for neutrinoless double<br />

beta decay in Germanium (supported by the U.S. nuclear physics program). The Sanford Center for<br />

Science Education (SCSE) is in the planning stages as the education component of the laboratory. The<br />

mission of the SCSE is to draw upon the underground science and engineering, its human resources, its<br />

unique facility and its setting within the Black Hills to inspire and prepare future generations of scientists,<br />

engineers, and science educators. As work proceeds towards design of the building, institution, and<br />

the programs and exhibits therein, early work has progressed towards establishing programs that build<br />

capacity and partnerships and begin to prototype innovative educational programming and exhibits to<br />

meet its educational vision. As the Sanford Lab education team explores innovative ways to convey the<br />

excitement of the physics to audiences of all ages, successes and challenges from the first three years of<br />

early educational programming will be highlighted in this presentation. Particular attention will be given<br />

to those that draw on nuclear physics and chemistry: background radiation, gamma ray counting, cosmic<br />

rays, weak interaction physics, etc.<br />

PR 73<br />

UMC with Multivariate Lognormal Probability Distributions for Nuclear Data Applications<br />

G. Zerovnik, A. Trkov, Jozef Stefan Institute, Jamova 39, SI-1000 Ljubljana, Slovenia. R. Capote,<br />

International Atomic Energy Agency (IAEA), Wagramer Strasse 5, P.O. Box 100, A-1400 Vienna,<br />

Austria. D.L. Smith, Argonne <strong>National</strong> <strong>Laboratory</strong>.<br />

Inherently positive parameters with large relative uncertainties (typically > 30%) are often considered to be<br />

governed by the lognormal distribution. This assumption has the practical benefit of avoiding the possibility<br />

of sampling negative values in stochastic applications. Recently the relations between multivariate lognormal<br />

and normal distributions have been revisited. New relations between the correlation coefficients<br />

of normal and log-normal distributions have been derived which hold independently of the uncertainty<br />

value. The possibility of using the Unified Monte Carlo (UMC) technique for the evaluation of nuclear<br />

reaction data assuming log-normal multivariate distributions is discussed in this paper. The mathematical<br />

formalism is described and numerical examples are provided comparing normal and log-normal formulations<br />

of the UMC for small and large uncertainties with results obtained using the Generalized Least Squares<br />

(GLS) method. Suggestions for nuclear data applications are discussed.<br />

Corresponding author: R. Capote<br />

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