Title: Data from Efficient Parametric Amplification via Simultaneous Second Harmonic Generation

Authors: Noah Flemens, Nicolas Swenson, Jeffrey Moses

Contact Information: 
		Name: Jeffrey Moses
		Institution: Cornell University
		Address: 142 Sciences Drive, Ithaca, New York, 14853, USA
		Email: moses@cornell.edu

		Name: Noah Flemens
		Institution: Cornell University
		Address: 142 Sciences Drive, Ithaca, New York, 14853, USA
		Email: nrf33@cornell.edu

Date of data collection: 2019/5/1 - 2021/8/23

Suggested Citation for Dataset: Noah Flemens, Nicolas Swenson and Jeff Moses. 2021. Data from: Efficient Parametric Amplification via Simultaneous Second Harmonic Generation [Dataset]. Cornell University eCommons Digital Repository. https://doi.org/10.7298/sn88-0r98.

Related Publication: Noah Flemens, Nicolas Swenson, and Jeffrey Moses, "Efficient parametric amplification via simultaneous second harmonic generation," Opt. Express 29, 30590-30609 (2021). https://doi.org/10.1364/OE.437864

Keywords: Nonlinear Optics, Three-Wave Mixing, Cascaded Nonlinear Processes, Second Harmonic Amplification, Efficient Parametric Amplification, Optical Frequency Conversion.

Abstract: We introduce a concept for efficient optical parametric amplification (OPA) based on simultaneously phase-matched idler second harmonic generation (SHG), which together exhibit the dynamical behavior of parametric amplification but with damped conversion-back-conversion cycles. This enables amplification efficiency exceeding that of conventional OPA by several-fold for femtosecond and picosecond signal pulses with bell-shaped intensity profiles by allowing a near-uniform spatiotemporal depletion of the pump wave. We develop a Duffing oscillator model that unifies the description of conventional OPA and amplification accompanied by idler photon displacement by either linear absorption or SHG. A spatiotemporal analysis of devices based on birefringent or superlattice quasi-phase matching in common bulk media predicts energy conversion up to 55%.

Funding: This work was partially supported by the Cornell Center for Materials Research with funding from the NSF MRSEC program (DMR-1719875) and the NSF under Grant No. (ECCS-1944653).

License: These data are shared under a Creative Commons Attribution 4.0 International (CC BY 4.0) license (https://creativecommons.org/licenses/by/4.0/). It is free and available to be shared and adapted for re-use, but proper attribution to the original authors must be given. 

Note: Contained in this repository folder is all the figure plot data (except schematics) for the publication mentioned above. Each sub-folder, named after figure numbers, contains .csv files that include all data needed for that plot. The column or file names indicate how to recreate the figures.

This SHA Data readme.txt file was generated on 2021/9/2 by Noah Flemens