scholarly journals Analysis of multiple scattering errors in LISST-VSF volume scattering function measurements using Monte Carlo simulations and experimental data

2021 ◽  
Author(s):  
Håvard Ugulen ◽  
Håkon Sandven ◽  
Borge Hamre ◽  
Arne S Kristoffersen ◽  
Camilla Saetre
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Multiple Scattering ◽  
Scattering Function ◽  
Volume Scattering

scholarly journals Polarization in Wolf-Rayet binaries: Monte Carlo simulations

1995 ◽  
Vol 163 ◽  
pp. 260-261
Author(s):  
Cláudia V. Rodrigues ◽  
Antonio Mário Magalhães
Keyword(s):  
Monte Carlo ◽  
Light Curve ◽  
Monte Carlo Simulations ◽  
Multiple Scattering ◽  
Linear Polarization ◽  
Monte Carlo Code ◽  
Circumstellar Envelopes ◽  
Analytical Approaches

We present some results on circumstellar envelopes using a Monte Carlo code we are developing. In contrast to analytical approaches, the effects of multiple scattering and the finite sizes of sources and envelope have been incorporated in the models. As an illustration, we fit the light-curve of V444 Cyg as well as the modulation of the linear polarization throughout its orbit.

scholarly journals Scattering through fluids: speckle size measurement and Monte Carlo simulations close to and into the multiple scattering

2004 ◽  
Vol 12 (1) ◽  
pp. 176 ◽  
Author(s):  
Y. Piederri�re ◽  
J. Cariou ◽  
Y. Guern ◽  
B. Le Jeune ◽  
G. Le Brun ◽  
...  
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Multiple Scattering ◽  
Size Measurement ◽  
Speckle Size

scholarly journals FLUCTUATIONS OF SINGLE CONFINED ACTIN FILAMENTS

2007 ◽  
Vol 02 (02) ◽  
pp. 155-166 ◽  
Author(s):  
SARAH KÖSTER ◽  
HOLGER STARK ◽  
THOMAS PFOHL ◽  
JAN KIERFELD
Keyword(s):  
Experimental Data ◽  
Monte Carlo ◽  
Correlation Function ◽  
Monte Carlo Simulations ◽  
Actin Filaments ◽  
Persistence Length ◽  
Mesh Size ◽  
Thermal Fluctuations ◽  
Approximation Formula ◽  
Bending Rigidity

Thermal fluctuations of individual actin filaments confined in rectangular microchannels with dimensions similar to the mesh size of the cytoskeleton in eukaryotic cells are studied experimentally using fluorescence microscopy and theoretically by a combination of analytical methods and Monte Carlo simulations. Compared to freely fluctuating filaments, long filaments confined in narrow channels exhibit enhanced tangent correlations and a characteristic shape of their correlation function. The tangent correlation function is calculated analytically by approximating the confining geometry by a parabolic potential. This approximation is validated by Monte Carlo simulations. For the quantitative analysis of experimental data additional corrections for image analysis effects have to be included, for which we provide a modified analytical approximation formula which is corroborated by simulations. This allows us to obtain both the persistence length LP describing the bending rigidity of the polymer and the deflection length λ characterizing confinement effects from fits to the experimental data. Our results confirm the scaling relation λ ∝ d2/3 between the deflection length and the channel width d.

MONTE-CARLO SIMULATION OF MBE GROWTH OF GaAs ANALYSIS OF RHEED

1997 ◽  
Vol 04 (05) ◽  
pp. 869-872 ◽  
Author(s):  
P. J. VAN HALL ◽  
H. KÖKTEN ◽  
M. R. LEYS ◽  
M. BOSCH
Keyword(s):  
Experimental Data ◽  
Monte Carlo Simulation ◽  
Monte Carlo ◽  
Monte Carlo Simulations ◽  
Slow Component ◽  
Mbe Growth ◽  
Partial Desorption

We have performed Monte-Carlo simulations of the growth of GaAs by MBE. We included in our calculations the anisotropy of the migration, the formation of As-and a partial desorption of the As. As an observable we calculated the RHEED signal of the specularly reflected electrons. The results have been compared with experimental data comprising both the damping of the oscillations and the recovery following a growth interrupt. The agreement between experiment and calculations is rather good. Moreover we could identify the mechanisms underlying the fast and the slow component of the recovery.

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