OSU Navigation Bar

The Ohio State University University Libraries Knowledge Bank

The Knowledge Bank is scheduled for regular maintenance on Sunday, April 20th, 8:00 am to 12:00 pm EDT. During this time users will not be able to register, login, or submit content.

TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER

Please use this identifier to cite or link to this item: http://hdl.handle.net/1811/46356

Show full item record

Files Size Format View
abstract.gif 32.68Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
OSU 6_22_10 DSW_Purdue.pptx 4.053Mb Microsoft PowerPoint 2007 View/Open
Slide1.GIF 200.2Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide2.GIF 90.85Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide3.GIF 51.89Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide4.GIF 64.39Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide5.GIF 74.18Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide6.GIF 82.46Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide7.GIF 74.13Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide8.GIF 90.05Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide9.GIF 72.59Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide10.GIF 105.0Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide11.GIF 78.79Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide12.GIF 92.08Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide13.GIF 82.91Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide14.GIF 77.61Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide15.GIF 71.51Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide16.GIF 94.31Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide17.GIF 90.48Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Slide18.GIF 157.4Kb GIF image Thumbnail of TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER

Title: TWO-DIMENSIONAL CHIRPED-PULSE FOURIER TRANSFORM MICROWAVE SPECTROSCOPY: MODELING COHERENCE TRANSFER
Creators: Wilcox, David S.; Hotopp, Kelly M.; Shirar, Amanda J.; Dian, Brian C.
Issue Date: 2010
Abstract: Two-dimensional broadband techniques have been introduced into the microwave regime using chirped-pulse Fourier transform spectroscopy. Theoretical considerations of expanding the prototypical three-level model to an N-level system are presented. Representative Hamiltonian and density matrices were used to solve the Liouville-von Neumann equations of motion in order to describe the evolution of coherently prepared states. Several selective excitation pulse sequences were performed on 1-chloro-1-fluoroethylene and 3,3,3-trifluoropropyne to test the validity of the theory. Through modeling one-dimensional slices of a traditional 2D plot, peaks in the indirectly measured frequency dimension were identified and classified and phenomenological selection rules were obtained.
URI: http://hdl.handle.net/1811/46356
Other Identifiers: 2010-TC-09
Bookmark and Share