radiative interaction
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2020 ◽  
Author(s):  
Wanchun Zhang

<p>The outgoing longwave radiation (OLR) is a crucial parameter for studying many areas in the atmospheric science, including the investigations of the cloud/water vapor/radiative interaction processes, climate variability, and for climate change monitoring and numerical model evaluation and diagnostics, etc. The OLR has continued being observed or estimated from Fengyun meteorological satellites, including solar orbit satellites (such as FY3D/MERSI) and geostationary satellites (such as FY4A/AGRI).</p><p>The advantage of solar orbiting satellites is global coverage. Thus it is difficult to reflect the diurnal variation of OLR for twice observations a day. While geostationary satellites are observed 24 times a day, which can accurately describe the diurnal variation of OLR. But its coverage is limited. Therefore, the development of OLR fusion products combined with solar orbit satellite and geostationary satellite, can improve product accuracy without losing coverage advantage. In this study, we use OLR from FY4A and FY3D to build a fusion OLR product to correct the diurnal variation of OLR, and get good results.</p>


Author(s):  
Sa Wang ◽  
Wei Dai ◽  
Ben-Wei Zhang ◽  
Enke Wang

Abstract The radial distribution of $$D^0$$D0 mesons in jets probes the diffusion of charm quark relative to the jet axis and provides a new perspective to study the interaction mechanisms between heavy quarks and the medium in the nucleus-nucleus collisions. The in-medium parton propagations are described by a Monte Carlo transport model which uses the next-to-leading order (NLO) plus parton shower (PS) event generator SHERPA as input and includes elastic (collisional) and inelastic (radiative) interaction for heavy quarks as well as light partons. At low $$D^0$$D0 meson $$p_T$$pT, the radial distribution significantly shifts to larger radius indicating a strong diffusion effect which is consistent with the recent experimental data. We demonstrate that the angular deviation of charm quarks declines with $$p_T$$pT and is very sensitive to the collisional more than radiative interaction at $$p_T<5$$pT<5 GeV. As predictions, we present the $$D^0$$D0 meson radial distribution in jets in p + p and $$0{-}10\%$$0-10% Au + Au collisions at $$\sqrt{s_{NN}}=200$$sNN=200 GeV at the RHIC, and also estimate the nuclear modification factor of charm jet in central Au + Au collisions at 200 GeV at the RHIC and central Pb + Pb collisions at 5.02 TeV at the LHC.


Universe ◽  
2019 ◽  
Vol 5 (5) ◽  
pp. 99 ◽  
Author(s):  
Christian Fendt

Black holes represent extreme conditions of physical laws. Predicted about a century ago, they are now accepted as astrophysical reality by most of the scientific community. Only recently has more direct evidence of their existence been found—the detection of gravitational waves from black hole mergers and of the shadow of a supermassive black hole in the center of a galaxy. Astrophysical black holes are typically embedded in an active environment which is affected by the strong gravity. When the environmental material emits radiation, this radiation may carry imprints of the black hole that is hosting the radiation source. In order to understand the physical processes that take place in the close neighborhood of astrophysical black holes, numerical methods and simulations play an essential role. This is simply because the dynamical evolution and the radiative interaction are far too complex in order to allow for an analytic solution of the physical equations. A huge progress has been made over the last decade(s) in the numerical code development, as well as in the computer power that is needed to run these codes. This review tries to summarize the basic questions and methods that are involved in the undertaking of investigating the astrophysics of black holes by numerical means. It is intended for a non-expert audience interested in an overview over this broad field. The review comes along without equations and thus without a detailed expert discussion of the underlying physical processes or numerical specifics. Instead, it intends to illustrate the richness of the field and to motivate further reading. The review puts some emphasis on magneto-hydrodynamic simulations but also touches radiation transfer and merger simulations, in particular pointing out differences in these approaches.


Author(s):  
Cihat Arslanturk

Space radiators used in aerospace applications are required to have a minimum weight, for the desired heat transfer rate. To ensure that the radiator has an optimal geometry, it is important that the heat transfer rate be calculated accurately. To obtain the heat transfer rate from the radiator accurately, the radiative interaction between the fin surface and fin base and the variation of thermal conductivity with temperature should be included in the analysis. Taking into account these two phenomena, this study was conducted in order to explore the optimal dimensions of a space radiator. The dimensionless nonlinear and nonhomogeneous fin equation is solved using the variation of the parameters method for carrying out the required optimization procedure. The optimization results are presented as convenient correlation equations for suitable ranges of problem parameters.


2016 ◽  
Vol 25 (02) ◽  
pp. 1650016 ◽  
Author(s):  
J. L. Paz ◽  
Luis G. Rodríguez ◽  
Juan F. Cárdenas ◽  
Cesar Costa-Vera

Nonlinear optical properties of a two-level molecular system immersed in a thermal bath have been studied in the present work. Solvent effects were explicitly considered by modeling the non-radiative interaction with the solute as a random variable. The innovation of this treatment is that it allows us to take into account the environment, inducing quantum effects not considered by classical treatment. The major contribution of the methodology proposed in this work, is the implementation of an approximant to the Voigt function as a probability distribution, because it allow us to cover a wider range of possible interactions among the solvent and the molecular system by simple changing the parameters [Formula: see text] and [Formula: see text], associated to the variances of the Lorentzian and Gaussian distributions, respectively.


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