Description of Software Package Extract for the Characterization of the Amplitude and Frequency Noise Properties of Cantilevers Used for Nano-MRI

Abstract

This report describes a software package that was written to support the U.S. Army Research Laboratory's (ARL) program in force-detected nano-magnetic resonance imaging (MRI). The software characterizes the noise found in cantilevers used for nano-MRI. The noise can be thermal noise that manifests itself as the Brownian motion of the cantilever, or it can be environmentally induced from external forces that excite the cantilever. The program analyzes the noise of both undriven and driven cantilevers. The program determines the root mean square (RMS) value of the undriven cantilever's motion versus time and its displacement power spectrum. The driven cantilever will experience instantaneous frequency deviations from the driving frequency due to Brownian motion. This program determines the instantaneous frequency of the cantilever and calculates the mean, standard deviation, and frequency deviation power spectrum of the cantilever's frequency versus time. Although developed to characterize the noise in a cantilever, the analysis preformed here is valid for characterizing the noise on a carrier independent of the source of the carrier and its noise.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2009
Accession Number
ADA507678

Entities

People

  • Doran D. Smith

Organizations

  • United States Army Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Algorithms
  • Amplitude
  • Bandwidth
  • Brownian Motion
  • Data Acquisition
  • Data Analysis
  • Data Sets
  • Digital Filters
  • Magnetic Resonance
  • Magnetic Resonance Imaging
  • Military Research
  • Power Spectra
  • Resonance
  • Sine Waves
  • Spectra
  • Statistics

Readers

  • Materials Science (Mechanical Engineering).
  • Plasma Physics / Magnetohydrodynamics
  • Radio communications and signal processing.