Thomas Vandal

1. The Near Infrared Imager and Slitless Spectrograph for the James Webb Space Telescope. I. Instrument Overview and In-flight Performance
   2023/09/01 by René Doyon, Chris J. Willott, John B. Hutchings +78 · 19 citations
   Physics and Astronomy · #Stellar, planetary, and galactic studies #Adaptive optics and wavefront sensing #Astronomy and Astrophysical Research
2. The Near Infrared Imager and Slitless Spectrograph for the James Webb Space Telescope -- I. Instrument Overview and in-Flight Performance
   2023/06/05 by René Doyon, Chris J. Willott, Doyon, Rene +123 · 12 citations
   Physics and Astronomy · #Adaptive optics and wavefront sensing #Astronomy and Astrophysical Research #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Stellar, planetary, and galactic studies
3. Intercomparison of Machine Learning Methods for Statistical Downscaling: The Case of Daily and Extreme Precipitation
   2017/02/13 by Thomas Vandal, Vandal, Thomas, Evan Kodra +3 · 4 citations
   Earth and Planetary Sciences · Environmental Science · #Climate change and permafrost #Climate variability and models #Cryospheric studies and observations #FOS: Computer and information sciences #Machine Learning (stat.ML)
4. Performance of near-infrared high-contrast imaging methods with JWST from commissioning
   2022/08/01 by Jens Kammerer, Kammerer, Jens, J. H. Girard +27 · 3 citations
   Physics and Astronomy · #Adaptive optics and wavefront sensing #Astronomy and Astrophysical Research #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Physical sciences #Instrumentation and Methods for Astrophysics (astro-ph.IM) #Stellar, planetary, and galactic studies
5. A framework for deep learning emulation of numerical models with a case study in satellite remote sensing
   2019/10/29 by Kate Duffy, Thomas Vandal, Duffy, Kate +7 · 1 citation
   Computer Science · Decision Sciences · Earth and Planetary Sciences · #FOS: Computer and information sciences #FOS: Electrical engineering #Gaussian Processes and Bayesian Inference #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Meteorological Phenomena and Simulations #Scientific Computing and Data Management #electronic engineering #information engineering
6. Global atmospheric data assimilation with multi-modal masked autoencoders
   2024/07/16 by Thomas Vandal, Kate Duffy, Vandal, Thomas J. +7 · 2 citations
   Earth and Planetary Sciences · #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Meteorological Phenomena and Simulations
7. Super-Earth masses and stellar abundances from NIRPS reveal tentative evidence for water-rich formation around M dwarfs
   2026/04/08 by Drew Weisserman, Nicole Gromek, Ryan Cloutier +104 · 2 voices
   Physics and Astronomy · #Stellar, planetary, and galactic studies #Astronomy and Astrophysical Research #Scientific Research and Discoveries