Infrared and Microwave-Infrared Double Resonance Spectroscopy of Methanol Embedded in Superfluid Helium Nanodroplets

Computer Science

Scientific paper

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

Matrix/Condensedphase

Scientific paper

Methanol is one of the simplest torsional oscillators, and has been extensively studied in the gas phase by various spectroscopic techniques. At 300 K, a large number of rotational, torsional, and vibrational energy levels are populated, and this makes for a rather complicated infrared spectrum which is still not fully understood. It is expected that in going from 300 K to 0.4 K (the temperature of helium nanodroplets) that the population distribution of methanol will collapse into one of two states; the J,K = 0,0 level for the A symmetry species, and the J,K = 1,-1 level for the E symmetry species. This results in a simplified spectrum that consists of narrow a-type lines and broader b-type lines in the OH stretching region. Microwave-infrared double resonance spectroscopy is used to help assign the a-type infrared lines.

No associations

LandOfFree

Say what you really think

Search LandOfFree.com for scientists and scientific papers. Rate them and share your experience with other people.

Rating

Infrared and Microwave-Infrared Double Resonance Spectroscopy of Methanol Embedded in Superfluid Helium Nanodroplets does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Infrared and Microwave-Infrared Double Resonance Spectroscopy of Methanol Embedded in Superfluid Helium Nanodroplets, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Infrared and Microwave-Infrared Double Resonance Spectroscopy of Methanol Embedded in Superfluid Helium Nanodroplets will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFWR-SCP-O-999528

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.