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Found 6 papers, 2 papers with code
Terminus: A Versatile Simulator for Space-based Telescopes
Space-based telescopes offer unparalleled opportunities for characterising exoplanets, Solar System bodies and stellar objects.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics
The Hubble WFC3 Emission Spectrum of the Extremely-Hot Jupiter, KELT-9b
Aware of potential biases when combining instruments, we also analysed the HST spectrum alone and found that TiO and VO only were needed in this case.
Earth and Planetary Astrophysics
Peeking inside the Black Box: Interpreting Deep Learning Models for Exoplanet Atmospheric Retrievals
We then present an extensive analysis of the predictions of DNNs, which can inform us - among other things - of the credibility limits for atmospheric parameters for a given instrument and model.
Lessons Learned from the 1st ARIEL Machine Learning Challenge: Correcting Transiting Exoplanet Light Curves for Stellar Spots
For instance, the most prolific method for detecting exoplanets and inferring several of their characteristics, transit photometry, is very sensitive to the presence of stellar spots.
ArielRad: the Ariel Radiometric Model
ArielRad, the Ariel radiometric model, is a simulator developed to address the challenges in optimising the space mission science payload and to demonstrate its compliance with the performance requirements.
Instrumentation and Methods for Astrophysics Earth and Planetary Astrophysics Solar and Stellar Astrophysics
Pushing the Limits of Exoplanet Discovery via Direct Imaging with Deep Learning
Further advances in exoplanet detection and characterisation require sampling a diverse population of extrasolar planets.
Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics
