scholarly journals Thermophysical Modeling of NEOWISE Observations of DESTINY+ Targets Phaethon and 2005 UD

2019 ◽  
Vol 158 (3) ◽  
pp. 97 ◽  
Author(s):  
Joseph R. Masiero ◽  
E. L. Wright ◽  
A. K. Mainzer
Keyword(s):  
Thermophysical Modeling

Thermophysical modeling with a particle size distribution: application to Ryugu and Bennu

2021 ◽  
Author(s):  
Edoardo Rognini ◽  
Maria Teresa Capria ◽  
Angelo Zinzi ◽  
Ernesto Palomba ◽  
Stavro Ivanovski
Keyword(s):  
Particle Size ◽  
Particle Size Distribution ◽  
Size Distribution ◽  
Thermophysical Modeling

scholarly journals Physical parameters of selected Gaia mass asteroids

2020 ◽  
Vol 638 ◽  
pp. A11
Author(s):  
E. Podlewska-Gaca ◽  
A. Marciniak ◽  
V. Alí-Lagoa ◽  
P. Bartczak ◽  
T. G. Müller ◽  
...  
Keyword(s):  
Thermal Inertia ◽  
Physical Property ◽  
Physical Parameters ◽  
Good Precision ◽  
Main Belt ◽  
Shape Models ◽  
Solar System Bodies ◽  
Fundamental Physical Property ◽  
Thermophysical Modeling ◽  
The Masses

Context. Thanks to the Gaia mission, it will be possible to determine the masses of approximately hundreds of large main belt asteroids with very good precision. We currently have diameter estimates for all of them that can be used to compute their volume and hence their density. However, some of those diameters are still based on simple thermal models, which can occasionally lead to volume uncertainties as high as 20–30%. Aims. The aim of this paper is to determine the 3D shape models and compute the volumes for 13 main belt asteroids that were selected from those targets for which Gaia will provide the mass with an accuracy of better than 10%. Methods. We used the genetic Shaping Asteroids with Genetic Evolution (SAGE) algorithm to fit disk-integrated, dense photometric lightcurves and obtain detailed asteroid shape models. These models were scaled by fitting them to available stellar occultation and/or thermal infrared observations. Results. We determine the spin and shape models for 13 main belt asteroids using the SAGE algorithm. Occultation fitting enables us to confirm main shape features and the spin state, while thermophysical modeling leads to more precise diameters as well as estimates of thermal inertia values. Conclusions. We calculated the volume of our sample of main-belt asteroids for which the Gaia satellite will provide precise mass determinations. From our volumes, it will then be possible to more accurately compute the bulk density, which is a fundamental physical property needed to understand the formation and evolution processes of small Solar System bodies.

Validation in process-like conditions of the kinetic and thermophysical modeling of a dicyanate ester/glass fibers composite

2002 ◽  
Vol 388 (1-2) ◽  
pp. 313-325 ◽  
Author(s):  
Jérôme Dupuy ◽  
Eric Leroy ◽  
Abderrahim Maazouz ◽  
Jean-Pierre Pascault ◽  
Martin Raynaud ◽  
...  
Keyword(s):  
Glass Fibers ◽  
Thermophysical Modeling

scholarly journals ISO: Asteroid Results and Thermophysical Modeling

2005 ◽  
Vol 13 ◽  
pp. 749-751
Author(s):  
Thomas G. Müller
Keyword(s):  
Thermal Inertia ◽  
Far Infrared ◽  
Rotational Behaviour ◽  
Sources Of Information ◽  
Infrared Space Observatory ◽  
Thermophysical Model ◽  
Infrared Surveys ◽  
Thermophysical Modeling ◽  
Ir Photometry

AbstractThrough a recently developed thermophysical model, observations from the Infrared Space Observatory (ISO) were combined with visual photometry, lightcurves, close-up observations and direct measurement. In this way, many applications were possible, ranging from simple diameter and albedo determination of serendipitously seen asteroids to sophisticated studies of mineralogic aspects and regolith properties, like emissivity, roughness or thermal inertia for well-known asteroids. The possibility to combine all sources of information in one single model lead also to a better understanding of thermophysical effects, like beaming or the before/after opposition effect. Thus, the mineralogic signatures can be recognized easier and asteroid data from infrared surveys and individual IR photometry can be interpreted more accurately, even in cases where shape or rotational behaviour are not known. Some well-studied asteroids are now even considered as excellent far-infrared calibrators.

Thermophysical modeling of microgrinding

2017 ◽  
Vol 37 (7) ◽  
pp. 647-650 ◽  
Author(s):  
A. E. Gorodkova ◽  
A. A. Dyakonov ◽  
A. V. Herreinstein
Keyword(s):  
Thermophysical Modeling

Inclusion of scientific algorithms in MATISSE

2020 ◽  
Author(s):  
Edoardo Rognini ◽  
Angelo Zinzi ◽  
Davide Grassi ◽  
Alberto Adriani ◽  
Alessandro Mura ◽  
...  
Keyword(s):  
Hyperspectral Image ◽  
Three Dimensional ◽  
Space Science ◽  
Physical Parameters ◽  
Temperature Dependent ◽  
Geophysical Research ◽  
Heterogeneous Architectures ◽  
Thermophysical Modeling ◽  
Solar System Exploration ◽  
Advanced Tool

<p>MATISSE (Multi-purpose Advanced Tool for the Solar System Exploration) [1] is a tool that allows the visualization of observations from space missions and datasets derived from these observations on  a  three-dimensional  model  of  the  selected  target  body.  The  second  version  of  the  tool  (named MATISSE  2.0 –https://tools.ssdc.asi.it/Matisse)  will,  among  other  things,  include  algorithms developed  by  partner  research  teams;  in  this  work  we  focalize  our  attention  on  the  MATISSE inclusion of two codes developed for atmospheric retrieval and thermophysical modeling. The retrieval code is used for the analysis of the spectra provided by the JIRAM instrument (Jovian Infrared Auroral Mapper [2]) onboard the NASA’s Juno mission, whose main purpose is the study of the upper regions of Jupiter’s atmosphere in the 2-5 μm wavelength range and pressure up to 5-7 bar. The spectra provided by the instrument are processed with the retrieval code that calculates, for each pixel of a hyperspectral image, the chemical and physical parameters in the corresponding points of the  atmosphere  [3].  The  code  processes  all  pixels  of  a  hyperspectral  image,  so  parallelization  is convenient  in  order  to  reduce  the  computation  time;  this  is  possible  by  using  the  Python  language tools, which allow the execution of a code written in its own language (FORTRAN in this case) by providing  the  required  parallelization. As a further optimization step,  the  code has been converted into a Docker image to make it portable and easy to run on heterogeneous architectures. The second  code  included  in  MATISSE  is  a  thermophysical  model  that  calculates  the  surface temperature of airless bodies as function of thermal conductivity [4,5] and other physical properties; the calculated temperature can be compared with the measured ones, if any, in order to retrieve the thermal properties of the soil, or can be used to compute other temperature-dependent quantities. At the present time this code is going to be used for Mercury and Ceres and is almost ready to be included in MATISSE 2.0.</p> <p>[1] Zinzi, A., et al. (2016), Astronomy & Computing, 15, 16-28<br />[2] Adriani, A., et al. (2017), Space Science Reviews, 213, 393-446<br />[3] Grassi et al. (2010), Planetary and Space Science, 58, 1265-1278<br />[4] Capria, M. T. et al (2014), Geophysical Research Letters, 41, 1438-1443<br />[5] Rognini et al. (2019), Journal of Geophysical Research, https://doi.org/10.1029/2018JE005733</p>

scholarly journals Modeling the operation of road pavement during the thawing of soil in the subgrade of highways

2018 ◽  
Vol 239 ◽  
pp. 05001 ◽  
Author(s):  
Aleksandr Isakov ◽  
Denis Razuvaev ◽  
Irina Gudkova ◽  
Michael Chakhlov
Keyword(s):  
Structural Strength ◽  
Layer By Layer ◽  
Software Complex ◽  
The Road ◽  
Road Pavement ◽  
Thermophysical Modeling

The solution for modeling the operation of road pavement during the thawing of soil in the subgrade of highways is proposed in this work. A model for layer-by-layer thawing of soil in the subgrade of highways was developed and illustrated, including the stage of modeling the change in the strength of the road structure during the thawing of soil, determining the dependence of the structural strength on the depth of soil thawing, thermophysical modeling of the process of freezing/thawing of soil in the subgrade using a software complex “Freeze-1” developed by the SSTU with determination of the dependence of the structural strength on time.

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