Molecular Cloud Distances via Principal Component Analysis

Autor:	Christopher M. Brunt, C. R. Kerton
Rok vydání:	2002
Předmět:	Physics Methods statistical Space and Planetary Science Calibration (statistics) Turbulence Molecular cloud Principal component analysis Spatial ecology Velocity dispersion Astronomy and Astrophysics Intercloud Astrophysics::Galaxy Astrophysics Remote sensing
Zdroj:	The Astrophysical Journal. 567:L41-L44
ISSN:	1538-4357 0004-637X
DOI:	10.1086/338793
Popis:	We demonstrate that principal component analysis of 12CO J = 1-0 emission can be used to estimate distances to molecular clouds. The method rests on the assumption of a universal relationship between velocity dispersion and spatial scale within the clouds. Our data do not in fact support an exact universal relationship, but the influence of intercloud variability results in a ~30% uncertainty in derived distances only. We establish a calibration of the method for giant molecular clouds associated with H II regions of known distance.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::7e531eb71000719ef4949b7f0becfd2f https://doi.org/10.1086/338793 Zobrazit plný text záznamu