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We analyse the joint distribution of dust attenuation and projected axis ratios, together with galaxy size and surface brightness profile information, to infer lessons on the dust content and star/dust geometry within star-forming galaxies…

This paper reviews our current understanding of interstellar dust models, what constitutes a viable dust model, what observational constraints are essential for deriving such model, and the current viable dust models. Interstellar dust…

Astrophysics · Physics 2009-11-10 Eli Dwek

Planet formation models rely on knowledge of the physical conditions and evolutionary processes in protoplanetary disks, in particular the grain size distribution and dust growth timescales. In theoretical models, several barriers exist…

Earth and Planetary Astrophysics · Physics 2024-01-26 Nienke van der Marel , Paola Pinilla

The aim of the paper is to give a physical explanation of the absence of the feature in the Calzetti extinction curve. We analyze the dust attenuation of a homogeneous source seen through a distant inhomogeneous distant screen. The…

Astrophysics of Galaxies · Physics 2015-05-30 Joerg Fischera , Michael Dopita

The sub-millimetre dust opacity spectral index is a critical observable to constrain dust properties, such as the maximum grain size of an observed dust population. It has been widely measured at galactic scales and down to protoplanetary…

A gamma ray burst with strong optical-UV emission occuring in a molecular cloud will photodissociate H2, photoionize H2, H, and He, and destroy dust grains. We model these processes, including time-dependent radiative transfer in both…

Astrophysics · Physics 2009-11-07 B. T. Draine , Lei Hao

We introduce a model for the explicit evolution of interstellar dust in a cosmological galaxy formation simulation. We post-process a simulation from the Cosmic Reionization on Computers project (CROC, Gnedin 2014), integrating an ordinary…

Astrophysics of Galaxies · Physics 2022-11-30 Clarke J. Esmerian , Nickolay Y. Gnedin

We present a novel approach for classifying stars as binary or exoplanet using deep learning techniques. Our method utilizes feature extraction, wavelet transformation, and a neural network on the light curves of stars to achieve…

Instrumentation and Methods for Astrophysics · Physics 2023-05-22 Aman Kumar , Sarvesh Gharat

We present a novel machine-learning approach for detecting faint point sources in high-contrast adaptive optics imaging datasets. The most widely used algorithms for primary subtraction aim to decouple bright stellar speckle noise from…

Instrumentation and Methods for Astrophysics · Physics 2023-12-07 Trevor N. Wolf , Brandon A. Jones , Brendan P. Bowler

Interstellar dust is still the dominant uncertainty in Astronomy, limiting precision in e.g., cosmological distance estimates and models of how light is re-processed within a galaxy. When a foreground galaxy serendipitously overlaps a more…

Astrophysics of Galaxies · Physics 2015-09-28 B. W. Holwerda , W. C. Keel

[Abridged] We present a new approach to investigate the content and spatial distribution of dust in structurally unresolved star-forming galaxies from the observed dependence of integrated spectral properties on galaxy inclination. We…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-15 Jacopo Chevallard , Stephane Charlot , Benjamin Wandelt , Vivienne Wild

Deep learning approaches have shown great success in image classification tasks and can aid greatly towards the fast and reliable classification of pollen grain aerial imagery. However, often-times deep learning methods in the setting of…

Computer Vision and Pattern Recognition · Computer Science 2021-03-01 Jaideep Murkute

Extinction maps are essential for tracing interstellar dust and enabling accurate stellar population studies in galaxies. Here, a high-resolution extinction distribution of nearby galaxy M33 is constructed by fitting multiband color indexes…

Astrophysics of Galaxies · Physics 2026-04-09 Yuxi Wang , Yi Ren , Jian Gao , Bingqiu Chen , Ying Li

Investigating the chemical complexity of the interstellar medium (ISM) is key for understanding its physical nature and evolution. In this work, we study parsec-scale interstellar dust clouds in the neutral ISM of the Milky Way using two…

Astrophysics of Galaxies · Physics 2026-04-29 T. Ramburuth-Hurt , A. De Cia , J. -K. Krogager , C. Ledoux , A. J. Fox

The 2175 {\AA} bump shows considerable variations in its strength, width, and central wavelength when observed along different sightlines in the Milky Way and other galaxies. These variations offer valuable insights into the composition,…

Instrumentation and Methods for Astrophysics · Physics 2024-07-23 Joice Mathew , Andrew Battisti , Israel Vaughn , Shubhangi Jain , Rekhesh Mohan , Jayant Murthy

The UV-optical dust attenuation curve is key to interpreting the intrinsic properties of galaxies and provides insights into the nature of dust grains and their geometry relative to stars. In this work, we constrain the UV-optical slope of…

We compare the performance of several dust models in reproducing the dust spectral energy distribution (SED) per unit extinction in the diffuse interstellar medium (ISM). We use our results to constrain the variability of the optical…

Observations of protoplanetary disks provide information on planet formation and the reasons for the diversity of planetary systems. The key to understanding planet formation is the study of dust evolution from small grains to pebbles.…

Earth and Planetary Astrophysics · Physics 2023-03-22 Riccardo Franceschi , Tilman Birnstiel , Thomas Henning , Anirudh Sharma

Metal absorption line systems in distant quasar spectra probe of the history of gas content in the universe. The MgII $\lambda \lambda$ 2796, 2803 doublet is one of the most important absorption lines since it is a proxy of the star…

Astrophysics of Galaxies · Physics 2019-05-07 Yinan Zhao , Jian Ge , Xiaoyong Yuan , Tiffany Zhao , Cindy Wang , Xiaolin Li