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Related papers: Charting nearby dust clouds using Gaia data only

200 papers

Our ability to interpret observations of galaxies and trace their stellar, gas, and dust content over cosmic time critically relies on our understanding of how the dust abundance and properties vary with environment. Here, we compute the…

Astrophysics of Galaxies · Physics 2023-05-16 Céline Péroux , Annalisa De Cia , J. Christopher Howk

We present a deep, high-angular resolution 3D dust map of the southern Galactic plane over $239^\circ < \ell < 6^\circ$ and $|b| < 10^\circ$ built on photometry from the DECaPS2 survey, in combination with photometry from VVV, 2MASS, and…

3D tomography of the interstellar dust and gas may be useful in many respects, from the physical and chemical evolution of the ISM itself to foreground decontamination of the CMB, or various studies of the environments of specific objects.…

Astrophysics of Galaxies · Physics 2015-05-18 Jean-Luc Vergely , Bernard Valette , Rosine Lallement , Severine Raimond

We leverage the 1 pc spatial resolution of the Leike et al. 2020 3D dust map to characterize the three-dimensional structure of nearby molecular clouds ($d \lesssim 400$ pc). We start by "skeletonizing" the clouds in 3D volume density space…

We present a novel methodology for mapping dust extinction in nearby galaxies at parsec-scale resolution. We apply it to HST 68 fields within the Small and Large Magellanic Clouds (23 fields in the SMC and 45 fields in the LMC) using…

We present a reconstruction of the line-of-sight motions of the local interstellar medium (ISM) based on the combination of a model of the three-dimensional dust density distribution within 1.25 kpc from the Sun and the HI and CO line…

The Sun is located close to the Galactic mid-plane, meaning that we observe the Galaxy through significant quantities of dust. Moreover, the vast majority of the Galaxy's stars also lie in the disc, meaning that dust has an enormous impact…

Astrophysics of Galaxies · Physics 2024-01-24 Amery Gration , John Magorrian

Knowledge of the three-dimensional structure of Galactic molecular clouds is important for understanding how clouds are affected by processes such as turbulence and magnetic fields and how this structure effects star formation within them.…

We present a method for accurately and precisely inferring photometric dust extinction towards stars at mid-to-high Galactic latitudes using probabilistic machine learning to model the colour-magnitude distribution of zero-extinction stars…

Astrophysics of Galaxies · Physics 2025-12-15 Matthew O'Callaghan , Kaisey S. Mandel , Gerry Gilmore

For many decades, dust has been recognised as an important ingredient in galaxy formation and evolution. This paper presents a novel self-consistent implementation of dust formation by stars, destruction by supernova shocks and hot gas, and…

Astrophysics of Galaxies · Physics 2025-12-19 Omima Osman , Gabriella De Lucia , Fabio Fontanot , Lizhi Xie , Michaela Hirschmann

We present a Bayesian inference method to characterise the dust emission properties using the well-known dust-HI correlation in the diffuse interstellar medium at Planck frequencies $\nu \ge 217$ GHz. We use the Galactic HI map from the…

Inferences about the spatial density or phase-space structure of stellar populations in the Milky Way require a precise determination of the effective survey volume. The volume observed by surveys such as Gaia or near-infrared spectroscopic…

Astrophysics of Galaxies · Physics 2016-06-07 Jo Bovy , Hans-Walter Rix , Gregory M. Green , Edward F. Schlafly , Douglas P. Finkbeiner

The ongoing Gaia mission of ESA will provide accurate spatial and kinematical information for a large fraction of stars in the Galaxy. Interstellar extinction and line absorption studies toward a large number of stars at different distances…

Astrophysics of Galaxies · Physics 2015-12-22 Tomaž Zwitter , Janez Kos

Interstellar dust affects astronomical observations through absorption and reddening, yet this extinction is also a powerful tool for studying interstellar matter in galaxies. 3D reconstructions of dust extinction and density in the Milky…

Astrophysics of Galaxies · Physics 2022-03-14 T. E. Dharmawardena , C. A. L. Bailer-Jones , M. Fouesneau , D. Foreman-Mackey

AIMS. We calculate the stellar density using star counts obtained from Gaia DR2 up to a Galactocentric distance R=20 kpc with a deconvolution technique for the parallax errors. Then we analyse the density in order to study the structure of…

Astrophysics of Galaxies · Physics 2020-05-27 Z. Chrobakova , R. Nagy , M. Lopez-Corredoira

Large spectroscopic surveys have enabled in the recent years the computation of three-dimensional interstellar extinction maps thanks to accurate stellar atmospheric parameters and line-of-sight distances. Such maps are complementary to 3D…

The recent results obtained by the modern telescopes and spacecrafts allow us for the first time to compare directly the mass, spatial density and size distribution of the dust grains in the regions of their production, processing and…

Solar and Stellar Astrophysics · Physics 2017-07-26 George Gontcharov

Following from our recent work, we present results of a detailed analysis of a representative sample of nearby galaxies. The photometric parameters of the morphological components are obtained from bulge-disk decompositions, using GALFIT…

Astrophysics of Galaxies · Physics 2023-06-16 Bogdan A. Pastrav

We present a new technique to determine distances to major star-forming regions across the Perseus Molecular Cloud, using a combination of stellar photometry, astrometric data, and $\rm ^{12} CO$ spectral-line maps. Incorporating the Gaia…

We present a three-dimensional (3D) extinction map of the southern sky. The map covers the SkyMapper Southern Survey (SMSS) area of $\sim$ 14,000 ${\rm deg^{2}}$ and has spatial resolutions between 6.9 and 27 arcmin. Based on the multi-band…

Astrophysics of Galaxies · Physics 2021-01-13 H. -L. Guo , B. -Q. Chen , H. -B. Yuan , Y. Huang , D. -Z Liu , Y. Yang , X. -Y. Li , W. -X. Sun , X. -W. Liu