Computer acquisition and analysis of metastable transition data using electric sector voltage variation
Description
A program and interface for a DEC PDP-8/I with 4K memory and two 32K discs have been devised to acquire peak intensity data from a double-focusing Hitachi RMU-7 mass spectrometer as a function of time while varying both the magnetic field intensity and the electric sector voltage. The electric sector voltage variation is accomplished by sweeping the electric sector voltage at selected rates: typically, 250 V is swept in 0.5 s. When a signal is detected from the detector amplifier, the sector that contains eight or more samples is reduced whenever data are not being acquired, and the compacted result is stored on the disc. After data acquisition, time-to-M/z conversion is accomplished using two peak identifications: the mass spectrum is determined from the rho=unity data; interpolations provided the value of msup(*) and rhosup(*); and the mass spectrum and identified metastable transitions are output off-line. The performance and current limitations of the system are discussed. (Auth.)
Additional details
Identifiers
Publishing Information
- Journal Title
- International Journal of Mass Spectrometry and Ion Physics
- Journal Volume
- 27
- Journal Issue
- 3
- Series
- Int. J. Mass Spectrom. Ion Phys.
- Journal Page Range
- 209-226
- ISSN
- 0020-7381
INIS
- Country of Publication
- Netherlands
- Country of Input or Organization
- Netherlands
- INIS RN
- 9415094
- Subject category
- S99: GENERAL AND MISCELLANEOUS; S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY;
- Descriptors DEI
- ANALOG-TO-DIGITAL CONVERTERS; COMPUTER CODES; COMPUTERS; DATA ACQUISITION SYSTEMS; DATA PROCESSING; ELECTRIC FIELDS; ENERGY-LEVEL TRANSITIONS; EQUIPMENT INTERFACES; MACHINE PARTS; MAGNETIC FIELDS; MASS SPECTROSCOPY; METASTABLE STATES; ON-LINE MEASUREMENT SYSTEMS; PERFORMANCE
- Descriptors DEC
- ELECTRONIC EQUIPMENT; ENERGY LEVELS; EXCITED STATES; ON-LINE SYSTEMS; SPECTROSCOPY
Optional Information
- Notes
- Updated automatically by Metadata and Full-Text Enrichment Agent