ALMA-IMF XII: Point-process mapping of 15 massive protoclusters
P. Dell'Ova, F. Motte, A. Gusdorf, Y. Pouteau, A. Men'shchikov, D., Diaz-Gonzalez, R. Galv\'an-Madrid, P. Lesaffre, P. Didelon, A.M. Stutz,, A.P.M. Towner, K. Marsh, A. Whitworth, M. Armante, M. Bonfand, T. Nony, M., Valeille-Manet, S. Bontemps, T. Csengeri, N. Cunningham

TL;DR
This study uses high-resolution point process mapping on ALMA data to derive detailed physical properties of protoclusters, advancing understanding of core mass functions and star formation stages.
Contribution
It introduces the PPMAP technique combined with getsf for spectral energy distribution fitting and source detection at 2.5" resolution in 15 star-forming regions.
Findings
Luminosity-to-mass ratio correlates with evolutionary stage.
Created a catalog of 313 luminosity peaks.
High-resolution constraints align with previous coarser measurements.
Abstract
A crucial aspect in addressing the challenge of measuring the core mass function, that is pivotal for comprehending the origin of the initial mass function, lies in constraining the temperatures of the cores. We aim to measure the luminosity, mass, column density and dust temperature of star-forming regions imaged by the ALMA-IMF large program. High angular resolution mapping is required to capture the properties of protostellar and pre-stellar cores and to effectively separate them from larger features, such as dusty filaments. We employed the point process mapping (PPMAP) technique, enabling us to perform spectral energy distribution fitting of far-infrared and submillimeter observations across the 15 ALMA-IMF fields, at an unmatched 2.5" angular resolution. By combining the modified blackbody model with near-infrared data, we derived bolometric luminosity maps. We estimated the…
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Taxonomy
TopicsMedical Imaging Techniques and Applications
