Till Kaeufer

most citedAnalysing the SEDs of protoplanetary disks with machine learning

21 citations · 41 across the 3 of their papers we have counts for

collaborators

3 papers

astro-ph.EP2025

MINDS. Water reservoirs of compact planet-forming dust disk: A diversity of H $_{2}$ O distributions

Milou Temmink, Andrew D. Sellek, Danny Gasman +17

Millimetre-compact dust disks are thought to have efficient radial drift of icy dust pebbles, which has been hypothesised to produce an enhanced cold ( $T <$ 400 K) H $_{2}$ O reservoir i…

astro-ph.EP2025★ 20 cited

MINDS: The very low-mass star and brown dwarf sample -- Hidden water in carbon-dominated protoplanetary disks

Aditya M. Arabhavi, Inga Kamp, Ewine F. van Dishoeck +21

Infrared observations of the inner disks around very low-mass stars (VLMS, $<$ 0.3 $M_{⊙}$ ) have revealed a carbon-rich gas composition in the terrestrial planet-forming region…

astro-ph.EP2023★ 21 cited

Analysing the SEDs of protoplanetary disks with machine learning

T. Kaeufer, P. Woitke, M. Min +2

ABRIDGED. The analysis of spectral energy distributions (SEDs) of protoplanetary disks to determine their physical properties is known to be highly degenerate. Hence, a Bayesian an…

MINDS. Water reservoirs of compact planet-forming dust disk: A diversity of H2​O distributions

MINDS: The very low-mass star and brown dwarf sample -- Hidden water in carbon-dominated protoplanetary disks

Analysing the SEDs of protoplanetary disks with machine learning

MINDS. Water reservoirs of compact planet-forming dust disk: A diversity of H $_{2}$ O distributions