ASCL.net

Astrophysics Source Code Library

Making codes discoverable since 1999

Searching for codes credited to 'Marley, Mark S.'

Tip: Author search checks name variants (e.g., Smith, John, Smith J). Last names are still best when results are broad.

Found 2 codes.

[ascl:2503.019] kpic_pipeline: KPIC Data Reduction Pipeline
KPIC Team; Wang, Jason J.; Ruffio, Jean-Baptiste; Morris, Evan; Delorme, Jacques-Robert; Jovanovic, Nemanja; Pezzato, Jacklyn; Echeverri, Daniel; Finnerty, Luke; Hood, Callie; Zanazzi, J. J.; Bryan, Marta L.; Bond, Charlotte Z.; Cetre, Sylvain; Martin, Emily C.; Mawet, Dimitri; Skemer, Andy; Baker, Ashley; Xuan, Jerry W.; Wallace, J. Kent; Wang, Ji; Bartos, Randall; Blake, Geoffrey A.; Boden, Andy; Buzard, Cam; Calvin, Benjamin; Chun, Mark; Doppmann, Greg; Dupuy, Trent J.; Duchêne, Gaspard; Feng, Y. Katherina; Fitzgerald, Michael P.; Fortney, Jonathan; Freedman, Richard S.; Knutson, Heather; Konopacky, Quinn; Lilley, Scott; Liu, Michael C.; Lopez, Ronald; Lupu, Roxana; Marley, Mark S.; Meshkat, Tiffany; Miles, Brittany; Millar-Blanchaer, Maxwell; Ragland, Sam; Roy, Arpita; Ruane, Garreth; Sappey, Ben; Schofield, Tobias; Weiss, Lauren; Wetherell, Edward; Wizinowich, Peter; Ygouf, Marie
kpic_pipeline reduces data taken with the Keck Planet Imager and Characterizer (KPIC). Written in Python, the code processes high resolution spectroscopy data taken with KPIC to study exoplanet atmospheres; it processes and calibrate the data to enable spectroscopic model fitting. kpic_pipeline can reduce the observed data into 1D spectra for one given science target or can be used to reduce the full nightly data.
[ascl:1905.019] PICASO: Planetary Intensity Code for Atmospheric Scattering Observations
Batalha, Natasha E.; Marley, Mark S.; Lewis, Nikole K.; Fortney, Jonathan J.
PICASO (Planetary Intensity Code for Atmospheric Scattering Observations), written in Python, computes the reflected light of exoplanets at any phase geometry using direct and diffuse scattering phase functions and Raman scattering spectral features.