Title

Data Analysis and Simulation in the DRIFT Dark Matter Experiment

Authors

Joe Landers

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.

Advisor

Dan Snowden-Ifft

Department

physics

Support

Ford Research Endowment

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