Statistics
Scientific paper
Jan 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21720202b&link_type=abstract
American Astronomical Society, AAS Meeting #217, #202.02; Bulletin of the American Astronomical Society, Vol. 43, 2011
Statistics
Scientific paper
While the study of star forming activity usually relies on fitting spectral energy distributions to probe the physical properties of forming stars, we explore an alternative method to complement this multi-wavelength strategy: we use a Minimum Spanning Tree (MST) algorithm to characterize the spatial distribution of Galactic Far-IR sources and derive their clustering properties. We aim at revealing the spatial imprint of different types of star forming processes, e.g. isolated spontaneous fragmentation of dense molecular clouds, or events of triggered star formation around Hii regions, and evidence global properties of star formation in the Galaxy.
We plan on exploiting the entire HiGAL survey of the inner Galactic plane (270 square degrees observed in 5 bands between 70 and 500 microns, P.I. Sergio Molinari) to gather significant statistics on the clustering properties of star forming regions, and to look for possible correlations with source properties such as mass, temperature or evolutionary stage. In this poster we present a pilot study of our project on two 2×2 square degrees fields centered at longitudes l=30 and 59 degrees obtained during the Science Demonstration Phase (SDP) of the Herschel mission.
Billot Nicolas
Hi-GAL Team
Molinari Sergio
Pestalozzi Michele
Schisano Eugenio
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