activity
19952026
most citedThe Structure of Dark Matter Haloes in Dwarf Galaxies

1.4k citations · 22.5k across the 252 of their papers we have counts for

collaborators
Showing 2018Show all

12 papers · 1 filter

astro-ph.GA2018★ 100 cited

Gone after one orbit: How cluster environments quench galaxies

Marcel Lotz, Rhea-Silvia Remus, Klaus Dolag +2

The effect of galactic orbits on a galaxy's internal evolution within a galaxy cluster environment has been the focus of heated debate in recent years. To understand this connectio…

astro-ph.GA2018★ 67 cited

Droplets I: Pressure-Dominated Sub-0.1 pc Coherent Structures in L1688 and B18

Hope How-Huan Chen, Jaime E. Pineda, Alyssa A. Goodman +22

We present the observation and analysis of newly discovered coherent structures in the L1688 region of Ophiuchus and the B18 region of Taurus. Using data from the Green Bank Ammoni…

astro-ph.GA2018★ 139 cited

3D shape of Orion A from Gaia DR2

Josefa E. Grossschedl, Joao Alves, Stefan Meingast +16

We use the DR2 distances of about 700 mid-infrared selected young stellar objects in the benchmark giant molecular cloud Orion A to infer its 3D shape and orientati…

astro-ph.GA2018★ 64 cited

Surround & Squash: The Interstellar Medium around Scorpius Centaurus OB2

Martin G. H. Krause, Andreas Burkert, Roland Diehl +7

We exploited observational constraints on stars, gas and nucleosynthesis ashes for the closest region of recent massive-star formation, Scorpius-Centaurus OB2, and combined them wi…

astro-ph.GA2018★ 13 cited

Morphology of prestellar cores in pressure confined filaments

Stefan Heigl, Matthias Gritschneder, Andreas Burkert

Observations of prestellar cores in star-forming filaments show two distinct morphologies. While molecular line measurements often show broad cores, submillimeter continuum observa…

cs.LG2018★ 132 cited

SOLAR: Deep Structured Representations for Model-Based Reinforcement Learning

Marvin Zhang, Sharad Vikram, Laura Smith +3

Model-based reinforcement learning (RL) has proven to be a data efficient approach for learning control tasks but is difficult to utilize in domains with complex observations such…