activity
19972023
most citedStructural Analysis of Molecular Clouds: Dendrograms

580 citations · 9.7k across the 129 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

astro-ph.GA2019★ 27 cited

Mass Assembly of Stellar Systems and their Evolution with the SMA (MASSES) -- Full Data Release

Ian W. Stephens, Tyler L. Bourke, Michael M. Dunham +13

We present and release the full dataset for the Mass Assembly of Stellar Systems and their Evolution with the SMA (MASSES) survey. This survey used the Submillimeter Array (SMA) to…

astro-ph.GA2019★ 19 cited

Synthetic Large-Scale Galactic Filaments -- on their Formation, Physical Properties, and Resemblance to Observations

Catherine Zucker, Rowan Smith, Alyssa Goodman

Using a population of large-scale filaments extracted from an AREPO simulation of a Milky Way-like galaxy, we seek to understand the extent to which observed large-scale filament p…

astro-ph.GA2019★ 20 cited

Droplets II: Internal Velocity Structures and Potential Rotational Motions in Pressure-dominated Coherent Structures

Hope How-Huan Chen, Jaime E. Pineda, Stella S. R. Offner +6

We present an analysis of the internal velocity structures of the newly identified sub-0.1 pc coherent structures, droplets, in L1688 and B18. By fitting 2D linear velocity fields…

astro-ph.GA2019★ 29 cited

Efficient methanol production on the dark side of a prestellar core

Jorma Harju, Jaime E. Pineda, Anton I. Vasyunin +23

We present ALMA maps of the starless molecular cloud core Ophiuchus/H-MM1 in the lines of deuterated ammonia (ortho-NH2D), methanol (CH3OH), and sulphur monoxide (SO). The dense co…

astro-ph.IM2019★ 36 cited

The Role of Machine Learning in the Next Decade of Cosmology

Michelle Ntampaka, Camille Avestruz, Steven Boada +27

In recent years, machine learning (ML) methods have remarkably improved how cosmologists can interpret data. The next decade will bring new opportunities for data-driven cosmologic…

astro-ph.GA2019★ 264 cited

A Large Catalog of Accurate Distances to Local Molecular Clouds: The Gaia DR2 Edition

Catherine Zucker, Joshua S. Speagle, Edward F. Schlafly +4

We present a uniform catalog of accurate distances to local molecular clouds informed by the Gaia DR2 data release. Our methodology builds on that of Schlafly et al. (2014). First,…