2024/03/29 by Patricio E. Cubillos, Cubillos, Patricio E.
Physics and Astronomy · #Astronomy and Astrophysical Research #Earth and Planetary Astrophysics (astro-ph.EP) #FOS: Physical sciences #History and Developments in Astronomy #Stellar, planetary, and galactic studies
paper · pdf · doi:10.48550/arxiv.2403.20223
openalex publication_date 2024/03/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Over the past decade, exoplanet atmospheric characterization has became what some might call the cosmology of astronomy. In an attempt to extract and understand the weak planetary signals (a few percent down to a few tens of ppm times that of their host-star signals), researchers have developed dozens of idealized planetary atmospheric models. Physical interpretations hinge on pretending that we understand stellar signals (as well behaved mostly temporarily static spherical cows), as well as planetary signals (as unidimensional objects, or sometimes quasi-multidimensional objects). The discovery of small and cool planets has lead to analyze planetary signals well below the designed photometric precision of current instrumentation. The challenge is up there, and keep us busy, so all is well. Here we present yet another open-source tool to analyze exoplanet data of time-series observations. The \puppies code is available via PyPI (pip install exo-puppies) and conda, the documentation is located at https://puppies.rtfd.io