COMB-LOCKED CAVITY-ASSISTED DOUBLE RESONANCE SPECTROSCOPY (CLCA-DR)

Wang, Jin

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https://hdl.handle.net/2142/104508 Copy

Description

Title

COMB-LOCKED CAVITY-ASSISTED DOUBLE RESONANCE SPECTROSCOPY (CLCA-DR)

Author(s)

Wang, Jin

Contributor(s)

Hu, Shui-Ming ; Tan, Yan ; Sun, Yu Robert; Hua, Tian-Peng ; Cheng, Cunfeng ; Liu, An-Wen ; Hu, Changle

Issue Date

2019-06-17

Keyword(s)

Vibrational structure/frequencies

Abstract

Double resonance spectroscopy has been frequently applied in state-selective excitation and to reach energy levels forbidden to single-photon transition. Due to the low cross section of two-photon transitions, usually high-power pulsed lasers are needed, which prevent high-precision measurements. Optical resonant cavity can be used to enhance the effective path length and also the laser power inside the cavity. By simultaneously locking two continuous-wave lasers with one high-finesse cavity, we established comb-locked cavity-assisted double resonance (CLCA-DR) spectroscopy of molecules. Doppler-free two-photon CLCA-DR spectroscopy of the monoxide carbon molecule were recorded by using two diode lasers with milli-watts power in the 1.5$\mu$m region. Three different types of double resonance: $\Lambda$-, V- and ladder-type, were demonstrated. By comparison to the energy difference obtained in previous high-precision single-photon spectroscopy using comb-locked cavity ring-down spectroscopy [1], we confirmed that the CLCA-DR measurement can also achieve an accuracy of kHz level. The energy of the highly excited state of $^{12}$C$^{16}$O, V=6, J=9 was determined to be kHz level ($\delta$E/E is about 10$^{-11}$) by a “ladder-type” double resonance measurement using the V=3, J=10 level as the intermediate state. Keywords: cavity assisted; double resonance; Doppler free; Reference: [1] Wang, J. et al., J. Chem. Phys. 2017, 147: 091103.

Publisher

International Symposium on Molecular Spectroscopy

Type of Resource

text

Language

English

Permalink

http://hdl.handle.net/2142/104508

DOI

10.15278/isms.2019.ML09

Copyright and License Information

Copyright 2019 Jin Wang

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