Soft matter interfaces beamline at NSLS-II: geometrical ray-tracing vs. wavefront propagation simulations

2014 ◽  
Author(s):  
Mikhail Zhernenkov ◽  
Niccolo Canestrari ◽  
Oleg Chubar ◽  
Elaine DiMasi
Keyword(s):  
Ray Tracing ◽  
Soft Matter ◽  
Wavefront Propagation

scholarly journals A hybrid method for X-ray optics simulation: combining geometric ray-tracing and wavefront propagation

2014 ◽  
Vol 21 (4) ◽  
pp. 669-678 ◽  
Author(s):  
Xianbo Shi ◽  
Ruben Reininger ◽  
Manuel Sanchez del Rio ◽  
Lahsen Assoufid
Keyword(s):  
Ray Tracing ◽  
Hybrid Method ◽  
One Dimension ◽  
Optical Elements ◽  
X Ray ◽  
Design And Optimization ◽  
Wavefront Propagation ◽  
Spatial Frequencies ◽  
Coherent Beams ◽  
Diffraction Effects

A new method for beamline simulation combining ray-tracing and wavefront propagation is described. The `Hybrid Method' computes diffraction effects when the beam is clipped by an aperture or mirror length and can also simulate the effect of figure errors in the optical elements when diffraction is present. The effect of different spatial frequencies of figure errors on the image is compared withSHADOWresults pointing to the limitations of the latter. The code has been benchmarked against the multi-electron version ofSRWin one dimension to show its validity in the case of fully, partially and non-coherent beams. The results demonstrate that the code is considerably faster than the multi-electron version ofSRWand is therefore a useful tool for beamline design and optimization.

Time-to-depth conversion and velocity estimation by image-wavefront propagation

Geophysics ◽  
2017 ◽  
Vol 82 (6) ◽  
pp. U75-U85 ◽  
Author(s):  
Leandro da S. Sadala Valente ◽  
Henrique B. Santos ◽  
Jessé C. Costa ◽  
Jörg Schleicher
Keyword(s):  
Ray Tracing ◽  
Model Building ◽  
Velocity Model ◽  
Velocity Estimation ◽  
Time Step ◽  
Velocity Anomaly ◽  
Interval Velocity ◽  
Velocity Models ◽  
Wavefront Propagation ◽  
Velocity Model Building

A new strategy for time-to-depth conversion and interval-velocity estimation is based entirely on image-wavefront propagation without the need to follow individual image rays. The procedure has three main features: (1) It computes the velocity field and the traveltime directly, allowing us to dispense with dynamic ray tracing; (2) it requires only the knowledge of the image wavefront at the previous time step; and (3) it inherently smooths the image wavefront, inhibiting the formation of caustics. As a consequence, the method tends to be faster than the usual techniques and does not carry the constraints and limitations inherent to common ray-tracing strategies. Synthetic tests using a Gaussian velocity anomaly as well as the Marmousi velocity model, and two smoothed versions of it show the feasibility of the method. A field-data example demonstrates the use of different numerical procedures. Our results indicate that the present strategy can be used to construct reasonable depth-velocity models that can be used as reliable starting models for velocity-model building in depth migration or for tomographic methods.

Advanced simulations of x-ray beam propagation through CRL transfocators using ray-tracing and wavefront propagation methods

2011 ◽  
Author(s):  
Jana Baltser ◽  
Erik Knudsen ◽  
Anette Vickery ◽  
Oleg Chubar ◽  
Anatoly Snigirev ◽  
...  
Keyword(s):  
Ray Tracing ◽  
Beam Propagation ◽  
X Ray ◽  
Wavefront Propagation ◽  
Propagation Methods

Allosteric regulation of GPCR Rhodopsin by soft matter

2020 ◽  
Author(s):  
Nipuna Weerasinghe ◽  
Steven Fried ◽  
Anna Eitel ◽  
Andrey Struts ◽  
Suchithranga Perera ◽  
...  
Keyword(s):  
Soft Matter ◽  
Allosteric Regulation
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