Dispersion in a Gas Filled Hollow Core Photonic Crystal
In this paper the fundamental physical mechanism has been
In this work, we present an experimental and numerical study of intense ultrafast pulse propagation in HCF over a large gas pressure and pump pulse energy parameter space—corresponding to several fundamentally differen...
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Dispersion of Gas-Filled Hollow Fiber - HHC Networks & Smart City Solutions [PDF]
In this paper the fundamental physical mechanism has been
The propagation of light in kagome HC-PCFs filled with different noble gases is described. The dependence of some properties, namely the group velocity dispersion and the nonlinear parameter
Artificial neural networks (ANNs) are trained to replace the numerical solvers, accelerate the simulation of fibers, and provide a more rapid fiber design
We study theoretically a pulse compression method with gas-filled hollow-core fiber (HCF) based on pulse division. The input pulse is first divided temporally into a sequence of almost identical
Here, we give a historical account of the major seminal works, we review the physics principles underlying the different optical guidance mechanisms that have emerged and how they have been
In this paper the fundamental physical mechanism has been discussed determining the dispersion properties of PCFs, and the dispersion in a gas filled hollow core photonic crystal fiber...
Dispersive wave emission in gas-filled hollow-core photonic crystal fibres has been possible in the visible and ultraviolet via the optical Kerr effect.
We experimentally investigate the nonlinear optical pulse dynamics of ultrashort laser pulses propagating in gas-filled hollow capillary fibers in different dispersion regimes, which are achieved by
underlying mechanism of broadband dispersive-wave emission within a resonance band of gas-filled anti-resonant hollow-core fiber. Both theoretical and experimental results unveiled that the high-order
Artificial neural networks (ANNs) are trained to replace the numerical solvers, accelerate the simulation of fibers, and provide a more rapid fiber design procedure. We first use an analytical