A SYSTEM FOR THE MEASUREMENT OF VELOCITY DISTRIBUTIONS OF MOLECULAR BEAMS

Abstract

A system for determining the velocity distributions of molecular beams is described in this report. This system utilizes the time-of-flight technique whereby the velocities are inferred by measuring the flight time of the beam molecules over a known flight distance. A quadrupole mass spectrometer and signal averaging devices are used to improve the signal-to-noise ratio in such a way that the system is applicable to velocity measurements in an environment of a relatively high background gas density. The system is evaluated by comparison of measured distributions of beams obtained from an effusive source with equivalent calculated Maxwellian distributions. Agreement was good enough that the gas temperature could be calculated from the experimental data by using a least squares computer program. Distributions for beam densities down to 2.7 x 10 to the 7th power molecules/cu.cm. in a total background of 3.24 x 10 to the 9th power molecules/cu.cm. were measured. The application of the system to studies involving gas-surface interactions and plume expansion processes from a nozzle is also discussed.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1968
Accession Number
AD0675306

Entities

People

  • H. M. Powell
  • J. H. Heald Jr.

Organizations

  • Arnold Engineering Development Complex

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Materials and Manufacturing Processes
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Amplifiers
  • Data Analysis
  • Detectors
  • Distortion
  • Distribution Functions
  • Experimental Data
  • Field Effect Transistors
  • Gas Surface Interactions
  • Ionization Gages
  • Mass Spectrometers
  • Measurement
  • Molecular Beams
  • Preamplifiers
  • Spectrometers
  • Test And Evaluation
  • Waveforms

Fields of Study

  • Physics

Readers

  • Acoustics.
  • Fluid Dynamics.
  • Molecular Photonics/Laser Physics

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference