Comparing the Mgas-Nyso Relation inside a Giant Molecular Cloud.

Abstract In this paper we present a simple analysis around scaling relations derived from the Schmidt conjecture for star-forming molecular clouds, at the intra-cloud scale. Using a hierarchical tree (dendrograms) above a constant threshold (AV = 7 mag), we separate individual gas structures in a column density map of the nearby Giant Molecular Cloud Orion A, constructed from Herschel far-infrared maps. These structures define regions of dense molecular gas that can actively form stars. We also estimate their current embedded population using a list of known young stars. From the combined analysis of the column density map and the young star catalog, we construct a series of plots that show the intra-cloud level behavior of three well-known scaling relations: Nyso vs. Mgas, ΣSFR vs. Σgas and Req vs. Mgas. Our dataset, along with other sets from literature, show the validity of a linear relation for Nyso vs. Mgas, from intra-cloud to inter-cloud scales, over three orders of magnitude. We also especulate on the possibility that the relation could be valid over an even larger scale range. Additionally, our data are consistent with the Req vs. Mgas discussed in previous studies. However, our data is not quite in agreement with previously proposed fits for the ΣSFR vs. Σgas relation, and we discuss the implications of using the free-fall timescale as the main parameter defining the star-forming efficiency in dense gas regions.

Authors

Institutions

Publication Details

Journal
Monthly Notices of the Royal Astronomical Society
Published
2026-03-14
DOI
https://doi.org/10.1093/mnras/stag510
Primary Topic
Astrophysics and Star Formation Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparing the Mgas-Nyso Relation inside a Giant Molecular Cloud.

Manuel Zamora-Avilés, C. Román-Zúñiga, J. Peltonen, A Palau et al.
Monthly Notices of the Royal Astronomical Society
Astrophysics and Star Formation Studies
article

Comparing the Mgas-Nyso Relation inside a Giant Molecular Cloud.

Manuel Zamora-Avilés, C. Román-Zúñiga, J. Peltonen, A Palau, J Ballesteros-Paredes, K Gutiérrez-Dávila
article en

Abstract

Abstract In this paper we present a simple analysis around scaling relations derived from the Schmidt conjecture for star-forming molecular clouds, at the intra-cloud scale. Using a hierarchical tree (dendrograms) above a constant threshold (AV = 7 mag), we separate individual gas structures in a column density map of the nearby Giant Molecular Cloud Orion A, constructed from Herschel far-infrared maps. These structures define regions of dense molecular gas that can actively form stars. We also estimate their current embedded population using a list of known young stars. From the combined analysis of the column density map and the young star catalog, we construct a series of plots that show the intra-cloud level behavior of three well-known scaling relations: Nyso vs. Mgas, ΣSFR vs. Σgas and Req vs. Mgas. Our dataset, along with other sets from literature, show the validity of a linear relation for Nyso vs. Mgas, from intra-cloud to inter-cloud scales, over three orders of magnitude. We also especulate on the possibility that the relation could be valid over an even larger scale range. Additionally, our data are consistent with the Req vs. Mgas discussed in previous studies. However, our data is not quite in agreement with previously proposed fits for the ΣSFR vs. Σgas relation, and we discuss the implications of using the free-fall timescale as the main parameter defining the star-forming efficiency in dense gas regions.

Monthly Notices of the Royal Astronomical Society
University of Alberta (CA), National Institute of Astrophysics, Optics and Electronics (MX), Universidad Nacional Autónoma de México (MX)
Openalex Percentile: Top 21%
Astrophysics and Star Formation Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.