152 citations · 1.1k across the 35 of their papers we have counts for
7 papers · 1 filter
Resolving the Assembly of Disk Galaxies from the Epoch of Reionisation to Cosmic Noon
Melanie Kaasinen, Mahsa Kohandel, Francesca Rizzo +45
Most of the mass and angular momentum of today's disk galaxies assembled at . Yet, it remains unclear how these galaxies acquired their gas, how their baryons and dark matter…
Unveiling the Baryon Cycle Through Cosmic Time
Manuel Aravena, Leindert A. Boogaard, Jorge González-López +28
Galaxy evolution is governed by the baryon cycle: gas accreted from the cosmic web and circumgalactic medium condenses into molecular gas, forms stars, and is redistributed by stel…
Probing ordered magnetic fields in galaxies across cosmic time
Jianhang Chen, Melanie Kaasinen, Enrique Lopez-Rodriguez +16
Magnetic fields are dynamically important across many astronomical environments, yet their origin, strength, and evolution over cosmic time remain poorly understood. Ordered magnet…
A Collection of German Science Interests in the Next Generation Very Large Array
M. Kadler, D. A. Riechers, J. Agarwal +88
The Next Generation Very Large Array (ngVLA) is a planned radio interferometer providing unprecedented sensitivity at wavelengths between 21 cm and 3 mm. Its 263 antenna element ar…
The ESO's Extremely Large Telescope Working Groups
Paolo Padovani, Michele Cirasuolo, Remco van der Burg +82
Since 2005 ESO has been working with its community and industry to develop an extremely large optical/infrared telescope. ESO's Extremely Large Telescope, or ELT for short, is a re…
An astronomical institute's perspective on meeting the challenges of the climate crisis
Knud Jahnke, Christian Fendt, Morgan Fouesneau +10
Analysing greenhouse gas emissions of an astronomical institute is a first step in reducing its environmental impact. Here, we break down the emissions of the Max Planck Institute…
Using an Artificial Neural Network to Classify Multi-component Emission Line Fits
Elise J Hampton, Brent Groves, Anne Medling +11
We present The Machine, an artificial neural network (ANN) capable of differentiating between the numbers of Gaussian components needed to describe the emission lines of Integral F…