Searching for codes credited to 'Chun, Mark'
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[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.