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Imaging via spatial nonlinearity

Optical hydrodynamics

Photonic plasma

Nonlinear photonic lattices

 

Imaging via spatial nonlinearity
NL tiger

It is well-known that one cannot simply image through a nonlinear medium, as intensity-dependent phase changes distort signals as they propagate.  On the other hand, knowing the nonlinearity implies that it is sometimes possible to deconvolve the wave mixing and recover the initial input.  Using this “extra” information, we have generalized the method of digital holography to the nonlinear domain and developed a method to hide and recover low-level signals in noise.    

 

 

Optical hydrodynamics
Shock collision

Intuitively, the propagation of light can be considered as the flow of a “fluid” from high-intensity to low-intensity, e.g. light illuminating the shadows of a room.  In my group, we are developing an “optical hydrodynamics” that formalizes this intuition.  Light intensity acts as fluid density, the gradient of the phase determines the flow velocity, and nonlinearity gives an effecting pressure.  New features arise, however, as wave diffraction (rather than viscosity or surface tension) serves to moderate the dynamics.

 

 

Photonic plasma
Bump-on-tail plateau

When the light is partially incoherent, then its propagation can be treated as a statistical fluid, i.e. as a plasma.  In this photonic plasma, nonlinearity creates an effective plasma frequency, while the finite correlation length creates an effective Debye length.  This formalism not only provides a unified treatment of previous nonlinear statistical optics, it predicts fundamentally new instabilities for nonlinear light propagation.  It also allows observation of phenomena that are difficult, if not impossible, to observe in material plasma.

 

Nonlinear photonic lattices
Induced lattice

Photonic lattices, such as waveguide arrays, facilitate the guiding and control of light.  Typically periodic structures, they are difficult to fabricate, especially in a nonlinear medium.  In our group, we bypass these difficulties by holographically inducing photonic structures in a photosensitive material (e.g. a photorefractive crystal).  The waveguides then acquire the nonlinearity of the medium, allowing studies of wave mixing constrained by geometry.  Applications include all-optical material modeling, nonlinear spectroscopy, and spectral filtering.