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We describe new Hi-GAL based maps of the entire Galactic Plane, obtained using continuum data in the wavelength range 70-500 $\mu$m. These maps are derived with the PPMAP procedure, and therefore represent a significant improvement over…

We use the PPMAP (Point Process MAPping) algorithm to re-analyse the \textit{Herschel} and SCUBA-2 observations of the L1688 and L1689 sub-regions of the Ophiuchus molecular cloud. PPMAP delivers maps with high resolution (here $14''$,…

星系天体物理 · 物理学 2021-05-12 A. D. P. Howard , A. P. Whitworth , M. J. Griffin , K. A. Marsh , M. W. L. Smith

A crucial aspect in addressing the challenge of measuring the core mass function, that is pivotal for comprehending the origin of the initial mass function, lies in constraining the temperatures of the cores. We aim to measure the…

Image cubes of differential column density as a function of dust temperature are constructed for Galactic Centre molecular cloud G0.253+0.016 ("The Brick") using the recently described PPMAP procedure. The input data consist of continuum…

星系天体物理 · 物理学 2016-07-13 K. A. Marsh , S. E. Ragan , A. P. Whitworth , P. C. Clark

Sub-millimetre dust emission is often used to derive the column density N of dense interstellar clouds. The observations consist of data at several wavelengths but of variable resolution. We examine two procedures that been proposed for the…

星系天体物理 · 物理学 2015-06-15 M. Juvela , J. Malinen , T. Lunttila

We have analysed the Herschel and SCUBA-2 dust continuum observations of the main filament in the Taurus L1495 star forming region, using the Bayesian fitting procedure PPMAP. (i) If we construct an average profile along the whole length of…

星系天体物理 · 物理学 2019-08-21 A. D. P. Howard , A. P. Whitworth , K. A. Marsh , S. D. Clarke , M. J. Griffin , M. W. L. Smith , O. D. Lomax

Multi-wavelength observations in the sub-mm regime provide information on the distribution of both the dust column density and the effective dust temperature in molecular clouds. In this study, we created high-resolution and…

星系天体物理 · 物理学 2018-11-28 Birgit Hasenberger , Marco Lombardi , João Alves , Jan Forbrich , Alvaro Hacar , Charles J. Lada

Context: In the last years, there have been many studies on the omnipresence and structures of filaments in star-forming regions, as well as their role in the process of star formation. Those filaments are normally identified as elongated…

星系天体物理 · 物理学 2016-08-10 R. -A. Chira , R. Siebenmorgen , Th. Henning , J. Kainulainen

A new method called `Configurational Temperature' is introduced in the context of dusty plasma, where the temperature of the dust particles, submerged in the plasma, can be measured directly from the positional information of the individual…

等离子体物理 · 物理学 2020-06-24 Rupak Mukherjee , Surabhi Jaiswal , Manish K Shukla , Ammar Hakim , Edward Thomas

We use the COMPLETE Survey's observations of the Perseus star-forming region to assess and intercompare three methods for measuring column density in molecular clouds: extinction mapping (NIR); thermal emission mapping (FIR); and mapping…

天体物理学 · 物理学 2011-02-11 Alyssa A. Goodman , Jaime E. Pineda , Scott L. Schnee

Using the APEX-12m telescope, continuum maps at 350~$\mu$m of eight gas-dust clouds from the southern hemisphere are obtained. Clouds are associated with the regions of massive star and star cluster formation and have dense cores. Core…

星系天体物理 · 物理学 2023-01-12 L. E. Pirogov

Sub-millimetre dust emission is an important tracer of density N of dense interstellar clouds. One has to combine surface brightness information at different spatial resolutions, and specific methods are needed to derive N at a resolution…

星系天体物理 · 物理学 2015-06-16 M. Juvela , J. Montillaud

The temperature of a dust ensemble in a dusty plasma is one of its most fundamental properties. Here, we present experiments using the configurational temperature as a for the temperature analysis in dusty plasmas. Using a model of the…

等离子体物理 · 物理学 2020-01-28 Michael Himpel , André Melzer

We present the first large-scale 3D map of interstellar dust temperature. We build upon existing 3D reddening maps derived from starlight absorption (Bayestar19), covering 3/4 of the sky. Starting with the column density for each of 500…

星系天体物理 · 物理学 2022-11-16 Ioana A. Zelko , Douglas P. Finkbeiner , Albert Lee , Gregory Green

We have used a numerical simulation of a turbulent cloud to synthesize maps of the thermal emission from dust at a variety of far-IR and sub-mm wavelengths. The average column density and external radiation field in the simulation is well…

天体物理学 · 物理学 2009-11-11 S. Schnee , T. Bethell , A. Goodman

Infrared dark clouds (IRDCs) are cold and dense reservoirs of gas potentially available to form stars. Many of these clouds are likely to be pristine structures representing the initial conditions for star formation. The study presented…

Constraints on the density and thermal 3D structure of the dense molecular cloud core Rho Oph D are derived from a detailed 3D radiative transfer modeling. Two ISOCAM images at 7 and 15 micron are fitted simultaneously by representing the…

天体物理学 · 物理学 2009-11-10 J. Steinacker , A. Bacmann , Th. Henning , R. Klessen , M. Stickel

Constraining the physical and chemical evolution of molecular clouds is essential to our understanding of star formation. These investigations often necessitate knowledge of some local representative number density of the gas along the line…

星系天体物理 · 物理学 2025-04-02 Brandt A. L. Gaches , Michael Y. Grudić

A numerical hydrodynamical model for the evolution of spherically symmetric collapsing clouds, designed for the calculation of the thermal structure of these objects in both the prestellar and protostellar stages of their evolution, is…

星系天体物理 · 物理学 2015-06-23 Ya. N. Pavlyuchenkov , A. G. Zhilkin , E. I. Vorobyov , A. M. Fateeva

A one-dimensional method for reconstructing the structure of prestellar and protostellar clouds is presented. The method is based on radiative transfer computations and a comparison of theoretical and observed intensity distributions at…

天体物理仪器与方法 · 物理学 2015-05-20 Ya. N. Pavlyuchenkov , D. S. Wiebe , A. M. Fateeva , T. S. Vasyunina
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