RUI: Rapid Acquisition and Analysis of Complex Spectra with High-Speed Digitizers

Information

  • NSF Award
  • 1404341
Owner
  • Award Id
    1404341
  • Award Effective Date
    8/15/2014 - 10 years ago
  • Award Expiration Date
    7/31/2017 - 7 years ago
  • Award Amount
    $ 244,153.00
  • Award Instrument
    Standard Grant

RUI: Rapid Acquisition and Analysis of Complex Spectra with High-Speed Digitizers

This Research at Undergraduate Institutions (RUI) award from the Chemical Measurement and Imaging (CMI) Program in the Division of Chemistry, with co-funding from the Computer and Data-Enabled Science and Engineering (CDS&E) and Planetary Astronomy Programs, supports Professor Steven T. Shipman and his students at New College of Florida as they develop new tools that will help scientists analyze data from the atmospheres of planets, including our own and large clouds of molecules in space. The new tools are based on high-speed electronics that allow scientists to collect significantly more information about their samples than was previously possible. Software is being developed that takes advantage of these high-speed data-collectors and uses new computing techniques to process the influx of data. All the work is being performed by undergraduate students working with the principal investigator. The new software will be publicly shared.<br/><br/>The investigators are using new high-speed digitizers along with grid computing techniques to rapidly acquire and analyze rotational spectra of molecules of relevance to interstellar and atmospheric chemistry at temperatures ranging from roughly 250 to 325 K. In this temperature range, rotational spectra are extremely complex due to contributions from large amplitude motion and thermally-populated excited vibrational and conformational states. A new digitizer with a nearly 8000x speed advantage over current instrumentation is being used in conjunction with temperature-dependent and microwave-microwave double resonance measurements to automatically determine lower state energies and energy level connectivities of a large number of peaks in observed spectra. Software that is being developed, based on genetic algorithms and other approaches, will use this information to greatly ease the spectral assignment process. These algorithms will be ported to a grid computing platform to take maximum advantage of their parallelism and to further reduce the spectral analysis time.

  • Program Officer
    Lin He
  • Min Amd Letter Date
    8/7/2014 - 10 years ago
  • Max Amd Letter Date
    8/7/2014 - 10 years ago
  • ARRA Amount

Institutions

  • Name
    New College of Florida
  • City
    Sarasota
  • State
    FL
  • Country
    United States
  • Address
    5800 Bay Shore Road
  • Postal Code
    342432109
  • Phone Number
    9414874200

Investigators

  • First Name
    Steven
  • Last Name
    Shipman
  • Email Address
    shipman@ncf.edu
  • Start Date
    8/7/2014 12:00:00 AM

Program Element

  • Text
    PLANETARY ASTRONOMY
  • Code
    1214
  • Text
    CDS&E
  • Code
    8084
  • Text
    Chemical Measurement & Imaging
  • Code
    6880

Program Reference

  • Text
    ATMOSPHERIC CHEMISTRY
  • Code
    1524
  • Text
    CyberInfra Frmwrk 21st (CIF21)
  • Code
    7433
  • Text
    CDS&E
  • Code
    8084
  • Text
    RES IN UNDERGRAD INST-RESEARCH
  • Code
    9229