The Progression Of Star Formation In The Rosette Molecular Cloud

Astronomy and Astrophysics – Astronomy

Scientific paper

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Scientific paper

Using Spitzer Space Telescope and Chandra X-ray data, we identify YSOs in the Rosette Molecular Cloud (RMC). By being able to select cluster members and classify them into YSO types, we are able to track the progression of star formation locally within the cluster environments and globally within the cloud. We employ nearest neighbor method (NNM) analysis to explore the density structure of the clusters, gaussian mixture modeling to estimate cluster properties, and ratio mapping to study age progressions and age variations in the cloud and clusters. We will investigate whether star formation proceeds sequentially or simultaneously in the cloud.
This work is based in part on archival data obtained with the Spitzer Space Telescope, which is operated by the Jet Propulsion Laboratory, California Institute of Technology under a contract with NASA. Support for this work was provided by an award issued by JPL/Caltech and a NASA GSRP fellowship.

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