Characterizing Precursors to Stellar Clusters with Herschel
C. Battersby, J. Bally, A. Ginsburg, J.-P. Bernard, C. Brunt, G.A., Fuller, P. Martin, S. Molinari, J. Mottram, N. Peretto, L. Testi, M.A., Thompson

TL;DR
This study uses Herschel data to characterize infrared dark clouds and dust continuum sources, revealing their physical properties, evolutionary states, and potential as precursors to stellar clusters across the Galaxy.
Contribution
The paper introduces a new algorithm for cirrus subtraction and source identification, and provides detailed temperature and density maps of IRDCs and related sources.
Findings
Mid-IR-dark pixels are colder (~10 K) and denser than mid-IR-bright pixels.
Dust continuum sources show a range of evolutionary states from pre-stellar to star-forming.
Identified five candidate IRDC-like sources on the far side of the Galaxy.
Abstract
Context: Despite their profound effect on the universe, the formation of massive stars and stellar clusters remains elusive. In the past decade, compelling evidence has emerged that suggests Infrared Dark Clouds (IRDCs) may be precursors to stellar clusters. However, the usual method for identifying IRDCs is biased by the requirement that they are seen in absorption against bright mid-IR emission, whereas dust continuum observations allow cold, dense pre-stellar-clusters to be identified anywhere. Aims: We aim to understand what physical properties characterize IRDCs, to explore the population of dust continuum sources that are not IRDCs, and to roughly characterize the star formation activity in dust continuum sources. Results: We present temperature and column density maps in the Hi-GAL l=30 and l=59 SDP fields, as well as a robust algorithm for cirrus subtraction and source…
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