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Christiane Helling

9 papers hereh-index 214 citations9 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author5

Across the 9 of 9 papers where every author was matched, so the position is known.

fields
  • astro-ph.EP7
  • astro-ph.IM2
same name
  • Christiane Helling — 15 papers, h 12
  • Christiane Helling — 11 papers, h 10
  • Christiane Helling — 11 papers, h 6
  • Christiane Helling — 8 papers, h 5
  • Christiane Helling — 8 papers, h 4
  • Christiane Helling — 6 papers, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedMachine learning-based classification for Single Photon Space Debris Light Curves

12 citations · 18 across the 7 of their papers we have counts for

collaborators
Showing 2025Show all

3 papers · 1 filter

astro-ph.EP2025★ 2 cited

Accelerating exoplanet climate modelling: A machine learning approach to complement 3D GCM grid simulations

Alexander Plaschzug, Amit Reza, Ludmila Carone +2

With the development of ever-improving telescopes capable of observing exoplanet atmospheres in greater detail and number, there is a growing demand for enhanced 3D climate models…

astro-ph.EP2025

Grid-based exoplanet atmospheric mass loss predictions through neural network

Amit Reza, Daria Kubyshkina, Luca Fossati +1

The fast and accurate estimation of planetary mass-loss rates is critical for planet population and evolution modelling. We use machine learning (ML) for fast interpolation across…

astro-ph.EP2025★ 4 cited

Kinetic and photochemical disequilibrium in the potentially carbon-rich atmosphere of the warm-Jupiter WASP-69b

Nidhi Bangera, Christiane Helling, Gloria Guilluy +5

High-resolution transmission spectroscopy of the warm gas-giant WASP-69b has revealed the presence of H2O, CO, CH4, NH3, and C2H2 in its atmosphere. This study investigates the imp…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.