Virtual photon scattering at subwavelength sized tips

1996 ◽  
Vol 63 (5) ◽  
pp. 421-425 ◽  
Author(s):  
J. P. Fillard ◽  
M. Castagné ◽  
M. Benfedda ◽  
S. Lahimer ◽  
H. U. Danzebrink
Keyword(s):  
Virtual Photon ◽  
Photon Scattering

scholarly journals BFKL PHYSICS IN JET PRODUCTION AT e+e- COLLIDERS

2001 ◽  
Vol 16 (supp01a) ◽  
pp. 209-211
Author(s):  
LYNNE H. ORR ◽  
W. J. STIRLING
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Method ◽  
Cross Section ◽  
Virtual Photon ◽  
Bfkl Equation ◽  
Photon Scattering ◽  
Kinematic Constraints ◽  
Large Rapidity ◽  
Electron Positron ◽  
Electron Positron Pair

Virtual photon scattering in e+e- collisions can result with the electron-positron pair at large rapidity separation with hadronic activity in between. The BFKL equation resums large logarithms that dominate the cross section for this process. We report here on a Monte Carlo method for solving the BFKL equation that allows kinematic constraints to be taken into account and show results for e+e- collisions.

scholarly journals Virtual photon scattering at high energies as a probe of the short distance Pomeron

1997 ◽  
Vol 56 (11) ◽  
pp. 6957-6979 ◽  
Author(s):  
S. J. Brodsky ◽  
F. Hautmann ◽  
D. E. Soper
Keyword(s):  
Short Distance ◽  
Virtual Photon ◽  
Photon Scattering ◽  
High Energies

scholarly journals VIRTUAL PHOTON–PHOTON SCATTERING

2014 ◽  
Vol 35 ◽  
pp. 1460400 ◽  
Author(s):  
MARTIN HOFERICHTER ◽  
GILBERTO COLANGELO ◽  
MASSIMILIANO PROCURA ◽  
PETER STOFFER
Keyword(s):  
Light Scattering ◽  
Cross Section ◽  
Magnetic Moment ◽  
Anomalous Magnetic Moment ◽  
Virtual Photon ◽  
Vacuum Polarization ◽  
Lorentz Invariance ◽  
Analytic Structure ◽  
Photon Scattering ◽  
Virtual Photons

Based on analyticity, unitarity, and Lorentz invariance the contribution from hadronic vacuum polarization to the anomalous magnetic moment of the muon is directly related to the cross section of e+e− → hadrons . We review the main difficulties that impede such an approach for light-by-light scattering and identify the required ingredients from experiment. Amongst those, the most critical one is the scattering of two virtual photons into meson pairs. We analyze the analytic structure of the process γ*γ* → ππ and show that the usual Muskhelishvili–Omnès representation can be amended in such a way as to remain valid even in the presence of anomalous thresholds.

Virtual photon scattering at subwavelength sized tips

1996 ◽  
Vol 63 (5) ◽  
pp. 421-425
Author(s):  
J. P. Fillard ◽  
M. Castagné ◽  
M. Benfedda ◽  
S. Lahimer ◽  
H. U. Danzebrink
Keyword(s):  
Virtual Photon ◽  
Photon Scattering

Heavy Flavour Effects in the Virtual Photon Structure Functions to NLO in QCD

2009 ◽  
Author(s):  
Tsuneo Uematsu ◽  
Yoshio Kitadono ◽  
Ken Sasaki ◽  
Takahiro Ueda
Keyword(s):  
Virtual Photon ◽  
Structure Functions ◽  
Photon Structure

Imaging through Scattering Media with a Learning Based Prior

2020 ◽  
Vol 2020 (14) ◽  
pp. 306-1-306-6
Author(s):  
Florian Schiffers ◽  
Lionel Fiske ◽  
Pablo Ruiz ◽  
Aggelos K. Katsaggelos ◽  
Oliver Cossairt
Keyword(s):  
Optimization Problem ◽  
Autonomous Driving ◽  
Scattering Media ◽  
Photon Scattering ◽  
Point Spread ◽  
Spread Function ◽  
Radiative Transport Equation ◽  
Spatio Temporal ◽  
Transient Imaging

Imaging through scattering media finds applications in diverse fields from biomedicine to autonomous driving. However, interpreting the resulting images is difficult due to blur caused by the scattering of photons within the medium. Transient information, captured with fast temporal sensors, can be used to significantly improve the quality of images acquired in scattering conditions. Photon scattering, within a highly scattering media, is well modeled by the diffusion approximation of the Radiative Transport Equation (RTE). Its solution is easily derived which can be interpreted as a Spatio-Temporal Point Spread Function (STPSF). In this paper, we first discuss the properties of the ST-PSF and subsequently use this knowledge to simulate transient imaging through highly scattering media. We then propose a framework to invert the forward model, which assumes Poisson noise, to recover a noise-free, unblurred image by solving an optimization problem.

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