Dust and gas distribution in molecular clouds: an observational approach

Autor: B. Maiolo, L. Campeggio, Davide Elia, C. Cecchi-Pestellini, Francesco Strafella
Přispěvatelé: Campeggio, Loretta, Elia, Davide Quintino, Maiolo, BERLINDA MARIA TERESA, Strafella, Francesco, Cecchi Pestellini, C.
Rok vydání: 2005
Předmět:
Zdroj: Journal of Physics: Conference Series. 6:172-177
ISSN: 1742-6596
1742-6588
DOI: 10.1088/1742-6596/6/1/019
Popis: The interstellar medium (ISM), gas and dust, appears to be arranged in clouds, whose dimensions, masses and densities span a large range of scales: from giant molecular clouds to small isolated globules. The structure of these objects show a high degree of complexity appearing, in the range of the observed scales, as a non-homogeneous ("clumpy") distribution of matter. The arrangement of the ISM is clearly relevant for the study of the fragmentation of the clouds and then of the star formation processes. To quantify observationally the ISM structure, many methods have been developed and our study is focused on some of them, exploiting multiwavelength observations of IS objects. The investigations presented here have been carried out by considering both the dust absorption (in optical and near IR wavelengths) and the gas emission (in the submm-radio spectral range). We present the maps obtained from the reduction of raw data and a first tentative analysis by means of methods as the structure function, the autocorrelation, and the Δ-variance. These are appropriate tools to highlight the complex structure of the ISM with reference to the paradigm given by the supersonic turbulence. Three observational cases are briefly discussed. In order to analyse the structure of objects characterized by different sizes, we applied the above-mentioned algorithms to the extinction map of the dark globule CB 107 and to the CO(J = 1-0) integrated intensity map of Vela Molecular Ridge, D Cloud. Finally we compare the results obtained with synthetic fractal maps known as "fractional Brownian motion" fBm images.
Databáze: OpenAIRE