Title
Data Analysis and Simulation in the DRIFT Dark Matter Experiment
Document Type
Article
Publication Date
2010
Abstract
The DRIFT-II Dark Matter Experiment relies on careful and robust analysis of data in order to extract a very faint signal from a large amount of noise. We have greatly improved the analysis of the Fe-55 calibration data, and have greatly improved and streamlined the neutron and WIMP simulation workflow. These improvements keep DRIFT at the forefront in direct dark matter detection experiments.
Recommended Citation
Landers, Joe, " Data Analysis and Simulation in the DRIFT Dark Matter Experiment " (2010). URC Student Scholarship.
http://scholar.oxy.edu/urc_student/244
Advisor
Dan Snowden-Ifft
Department
physics
Support
Ford Research Endowment
COinS
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