The ALMA Survey of 70 $\mu$m dark High-mass clumps in Early Stages (ASHES). I. Pilot Survey: Clump Fragmentation
Patricio Sanhueza, Yanett Contreras, Benjamin Wu, James M. Jackson,, Andr\'es E. Guzm\'an, Qizhou Zhang, Shanghuo Li, Xing Lu, Andrea Silva,, Natsuko Izumi, Tie Liu, Rie E. Miura, Ken'ichi Tatematsu, Takeshi Sakai,, Henrik Beuther, Guido Garay, Satoshi Ohashi, Masao Saito

TL;DR
This study uses ALMA observations to analyze the fragmentation of 12 cold, massive, and dark high-mass star-forming clumps, revealing core populations, spatial distributions, and implications for star formation theories.
Contribution
First detailed ALMA survey of early-stage high-mass star-forming clumps focusing on fragmentation and core properties, testing star formation models.
Findings
Detected 294 cores, with 29% protostellar and 71% prestellar candidates.
Core mass distribution follows a power law with index 1.17, shallower than Salpeter.
Core spatial distribution suggests hierarchical subclustering, not central concentration.
Abstract
(Abridged) ASHES has been designed to systematically characterize the earliest stages and to constrain theories of high-mass star formation. A total of 12 massive (>500 ), cold (<15 K), 3.6-70 m dark prestellar clump candidates, embedded in IRDCs, were carefully selected in the pilot survey to be observed with ALMA. We mosaiced each clump (~1 arcmin^2) in dust and line emission with the 12m/7m/TP arrays at 224 GHz, resulting in ~1.2" resolution (~4800 AU). As the first paper of the series, we concentrate on the dust emission to reveal the clump fragmentation. We detect 294 cores, from which 84 (29%) are categorized as protostellar based on outflow activity or 'warm core' line emission. The remaining 210 (71%) are considered prestellar core candidates. The number of detected cores is independent of the mass sensitivity range of the observations. On average, more massive…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
