## Green et al. (2019) – A 3D Dust Map Based on Gaia, Pan-STARRS 1 and 2MASS

We present a new three-dimensional map of dust reddening, based on Gaia parallaxes and stellar photometry from Pan-STARRS 1 and 2MASS. This map covers the sky north of a declination

## Peek & Burkhart (2019) – Do Androids Dream of Magnetic Fields? Using Neural Networks to Interpret the Turbulent Interstellar Medium

The interstellar medium (ISM) of galaxies is composed of a turbulent magnetized plasma. In order to quantitatively measure relevant turbulent parameters of the ISM, a wide variety of statistical techniques

## Marchal et al. (2019) – ROHSA: Regularized Optimization for Hyper-Spectral Analysis – Application to phase separation of 21 cm data

Extracting the multiphase structure of the neutral interstellar medium (ISM) is key to understand the star formation in galaxies. The radiative condensation of the diffuse warm neutral medium producing a

## González-Casanova, Lazarian & Burkhart (2019) – Velocity centroid gradients for absorbing media

We explore how the velocity gradient technique (VGT) can be applied to absorbing media in the case of 13CO 2-1 emission. The VGT is a new way to trace magnetic

## Ortiz-León et al. (2018) – Gaia-DR2 confirms VLBA parallaxes in Ophiuchus, Serpens and Aquila

Abstract We present Gaia-DR2 astrometry of a sample of YSO candidates in Ophiuchus, Serpens Main and Serpens South/W40 in the Aquila Rift, which had been mainly identified by their infrared

## Tchernyshyov, Peek & Zasowski (2018) – Kinetic Tomography. II. A Second Method for Mapping the Velocity Field of the Milky Way Interstellar Medium and a Comparison with Spiral Structure Models

In this work, we derive a spatially resolved map of the line-of-sight velocity of the interstellar medium and use it, along with a second map of line-of-sight velocity from Paper

## Brunt et al. (2003) – Intrinsic, Observed, and Retrieved Properties of Interstellar Turbulence

We generate synthetic observations of three-dimensional, self-gravitating MHD simulations of the interstellar medium (ISM) to evaluate the ability of principal component analysis (PCA) to measure the scale dependence of turbulent

## Galliano (2018) – A dust spectral energy distribution model with hierarchical Bayesian inference – I. Formalism and benchmarking

This article presents a new dust spectral energy distribution (SED) model, named HerBIE, aimed at eliminating the noise-induced correlations and large scatter obtained when performing least-squares fits. The originality of

## Henshaw et al. (2016) – Molecular gas kinematics within the central 250 pc of the Milky Way

Using spectral line observations of HNCO, N2H+, and HNC, we investigate the kinematics of dense gas in the central ˜250 pc of the Galaxy. We present SCOUSE (Semi-automated multi-COmponent Universal

## Müller et al. (2018) – Sharpening up Galactic all-sky maps with complementary data – A machine learning approach

Galactic all-sky maps at very disparate frequencies, like in the radio and $\gamma$-ray regime, show similar morphological structures. This mutual information reflects the imprint of the various physical components of

## McKinnon et al. (2018) – Simulating galactic dust grain evolution on a moving mesh

Interstellar dust is an important component of the galactic ecosystem, playing a key role in multiple galaxy formation processes. We present a novel numerical framework for the dynamics and size

## Clark (2018) – A New Probe of Line-of-sight Magnetic Field Tangling

The Galactic neutral hydrogen (H I ) sky at high Galactic latitudes is suffused with linear structure. Particularly prominent in narrow spectral intervals, these linear H I features are well