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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Nagamine, Kentaro
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2024Observational signatures of the dust size evolution in isolated galaxy simulationscitations
- 2024Observational signatures of the dust size evolution in isolated galaxy simulations
- 2020Galaxy simulation with the evolution of grain size distributioncitations
- 2019Dust scaling relations in a cosmological simulationcitations
- 2019Dust scaling relations in a cosmological simulation
- 2018Cosmological simulation with dust formation and destructioncitations
- 2018Populating H<SUB>2</SUB> and CO in galaxy simulation with dust evolutioncitations
- 2017Evolution of dust extinction curves in galaxy simulationcitations
- 2017Galaxy simulation with dust formation and destructioncitations
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document
Observational signatures of the dust size evolution in isolated galaxy simulations
Abstract
We aim to provide observational signatures of the dust size evolution in the ISM, in particular exploring indicators of polycyclic aromatic hydrocarbon (PAH) mass fraction ($q_{PAH}$) defined as the mass fraction of PAHs relative to total dust grains. Additionally, we validate our dust evolution model by comparing the observational signatures from our simulations to those from observations. We model the evolution of grain size distribution of Milky Way-like and NGC 628-like galaxies representing star-forming galaxies with a hydrodynamic simulation code, GADGET4-OSAKA, which considers dust production and interstellar processing. Furthermore, we perform post-processing dust radiative transfer with SKIRT based on the simulations to predict the observational properties. We find that the intensity ratio between 8 um and 24 um correlates with $q_{PAH}$ and can be used as an indicator of PAH mass fraction. However, this ratio is influenced by the radiation field. As another indicator, we suggest the 8 um-to-total infrared intensity ratio ($ I_(8m)/I$(TIR)), which tightly correlates with $q_{PAH}$. Furthermore, we explore the spatial evolution of $q_{PAH}$ in the simulated Milky Way-like galaxy using $ I_(8m)/I$(TIR). We find that the spatially resolved $q_{PAH}$ increases with metallicity at lower metallicity (Z<0.2 Zsun) due to the interplay between accretion and shattering while it decreases with metallicity at higher metallicity (Z>0.2 Zsun) due to coagulation. Finally, we compare the above indicators in the NGC 628-like simulation with those observed in NGC 628. Consequently, our simulation underestimates the PAH mass fraction throughout the entire galaxy. This is probably because PAH is too efficiently lost by coagulation in the interstellar medium in our model, which suggests that the inhibition of coagulation of the PAHs is key to enhancing PAH formation....