We report on the design of a tunable, near-infrared (NIR) femtosecond noncollinear optical parametric amplifier (OPA) seeded by gain-managed nonlinear amplified1 parabolic pulses. In our numerical simulations, we achieve signal and idler amplification bandwidths between 1000-1180 nm and 914-1062 nm; the second harmonic of these pulses corresponds directly to the visible spectrum. This appreciable value is due to the high spectral energy density of our seed pulses. Fiber-amplified pulses thus present a method to engineer efficient OPA systems that can operate at high-average powers in the NIR and visible.
The next generation of ultra-bright photoemission sources may offer opportunities to enhance our understanding of fundamental spatiotemporal scales. However, modeling photoemission and laser shaping systems precisely and efficiently is difficult due to the numerous interdependent linear and nonlinear processes involved and significant variations in modeling frameworks. Here, we present a new machine learning-based framework for photoemission laser systems and dynamic laser shaping. To showcase the effectiveness of our approach in system optimization, reverse engineering, and design. Our framework is designed to facilitate precise adaptive temporal shaping, including the generation of longitudinally flat-top or periodically-modulated pulses, through integration with four-wave mixing.
This conference presentation was prepared for the Nonlinear Frequency Generation and Conversion: Materials and Devices XXII conference at SPIE LASE, 2023.
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