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相关论文: Profiling filaments: comparing near-infrared extin…

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Sub-millimetre observations suggest that the filaments of interstellar clouds have rather uniform widths and can be described with the so-called Plummer profiles. The shapes of the filament profiles are linked to their physical state.…

星系天体物理 · 物理学 2015-06-05 M. Juvela , J. Malinen , T. Lunttila

Mapping of near-infrared (NIR) scattered light is a recent method for the study of interstellar clouds, complementing other, more commonly used methods, like dust emission and extinction. Our goal is to study the usability of this method on…

星系天体物理 · 物理学 2014-04-10 J. Malinen , M. Juvela , V. -M. Pelkonen , M. G. Rawlings

Accurate characterization of filamentary structures in star-forming clouds is essential for understanding star formation. Traditional methods fit observed surface density profiles $\Sigma(r)$ with slope $\gamma$ and width $H$ using the…

星系天体物理 · 物理学 2026-05-15 Alexander Men'shchikov , Guo-Yin Zhang

The surface-density profiles of dense filaments, in particular those traced by dust emission, appear to be well fit with Plummer profiles, i.e. Sigma(b)=Sigma_B+Sigma_O{1+[b/w_O]^2}^{[1-p]/2}. Here Sigma_B is the background surface-density;…

星系天体物理 · 物理学 2021-10-13 Anthony Whitworth , Felix Priestley , Doris Arzoumanian

Context: Dust grains are key components of the interstellar medium and play a central role in star formation, acting as catalysts for chemical reactions and as building blocks of planets. Extinction curves are essential for characterizing…

We use a suite of high resolution molecular cloud simulations carried out with the moving mesh code Arepo to explore the nature of star-forming filaments. The simulated filaments are identified and categorised from column density maps in…

星系天体物理 · 物理学 2015-06-22 Rowan J. Smith , Simon C. O. Glover , Ralf. S. Klessen

Interstellar dust extinction curves provide valuable information about dust properties, including the composition and size of the dust grains, and are essential to correct observations for the effects of interstellar dust. In this work, we…

Context: Infrared Dark Clouds (IRDCs) harbor progenitors of high-mass stars. Little is known of the parental molecular clouds of the IRDCs. Aims: We demonstrate the feasibility of the near-infrared (NIR) dust extinction mapping in tracing…

星系天体物理 · 物理学 2015-05-30 J. Kainulainen , J. Alves , H. Beuther , T. Henning , F. Schuller

We study the near-infrared (NIR) scattering in LDN 1642, its correlation with the cloud structure, and the ability of dust models to simultaneously explain sub-millimetre emission, NIR extinction, and NIR scattering. We use observations…

星系天体物理 · 物理学 2020-11-25 Mika Juvela , Sharma Neha , Emma Mannfors , Mika Saajasto , Nathalie Ysard , Veli-Matti Pelkonen

Stellar population studies provide unique clues to constrain galaxy formation models. So far, detailed studies based on absorption line strengths have mainly focused on the optical spectral range although many diagnostic features are…

星系天体物理 · 物理学 2022-05-27 Elham Eftekhari , Alexandre Vazdekis , Francesco La Barbera

Extinction remains one of the most reliable methods of measuring column density of nearby Galactic interstellar clouds. The current and ongoing near-infrared surveys enable the mapping of extinction over large sky areas. We produce allsky…

星系天体物理 · 物理学 2015-12-16 M. Juvela , J. Montillaud

Observations of molecular clouds reveal a complex structure, with gas and dust often arranged in filamentary rather than spherical geometries. The associations of pre- and proto- stellar cores with the filaments suggest a direct link with…

With current wide-field near-infrared (NIR) instruments the scattered light in the near-infrared can be mapped over large areas. Below A_V ~ 10 the surface brightness is directly proportional to the column density, and at slightly higher…

天体物理学 · 物理学 2009-11-11 M. Juvela , V. -M. Pelkonen , P. Padoan , K. Mattila

Achieving accurate photometric characterizations of central stars of planetary nebulae (CSPNe) toward the galactic plane is significantly hindered by the high levels of interstellar extinction in these regions. However, near-infrared (NIR)…

太阳与恒星天体物理 · 物理学 2025-10-03 Dante Minniti , Vasiliki Fragkou , Javier Alonso-García , Daniel Majaess , Arianna Cortesi

Dust plays a critical role in the study of the interstellar medium (ISM). Extinction maps derived from optical surveys often fail to capture regions with high column density due to the limited photometric depth in optical wavelengths. To…

星系天体物理 · 物理学 2025-10-17 Miaomiao Zhang , Jouni Kainulainen , He Zhao , Yang Su , Min Fang , Yuehui Ma , Zhiwei Chen , Zhibo Jiang

Several methods exist to convert near-infrared (NIR) stellar observations into extinction maps. We present a new method based on NIR multiband observations. The method uses a discretised version of the distribution of intrinsic stellar…

星系天体物理 · 物理学 2016-01-13 M. Juvela , J. Montillaud

Progress in understanding star formation requires detailed observational constraints on the initial conditions, i.e. dense clumps and cores in giant molecular clouds that are on the verge of gravitational instability. Such structures have…

太阳与恒星天体物理 · 物理学 2016-09-23 Wanggi Lim , Jonathan C. Tan

Dust extinction is the most robust tracer of the gas distribution in the interstellar medium, but measuring extinction is limited by the systematic uncertainties involved in estimating the intrinsic colors to background stars. In this paper…

天体物理仪器与方法 · 物理学 2017-05-24 Stefan Meingast , Marco Lombardi , Joao Alves

We demonstrate a newly developed mid-infrared planetary nebula (PN) selection technique. It is designed to enable efficient searches for obscured, previously unknown, PN candidates present in the photometric source catalogues of Galactic…

We present a 8 deg x 6 deg, high resolution extinction map of the Pipe nebula using 4.5 million stars from the Two Micron All Sky Survey (2MASS) point source catalog. The use of NICER, a robust and optimal technique to map the dust column…

天体物理学 · 物理学 2009-11-11 Marco Lombardi , Joao Alves , Charles J. Lada
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