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Astrophysics Source Code Library

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Searching for codes credited to 'Millar-Blanchaer, Max'

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[ascl:2502.014] spaceKLIP: JWST coronagraphy data data reduction and analysis pipeline
Carter, Aarynn; Kammerer, Jens; Leisenring, Jarron; Perrin, Marshall; Balmer, William O.; Glidic, Kayli; Strampelli, Giovanni Maria; Millar-Blanchaer, Max

spaceKLIP reduces and analyzes JWST NIRCam and MIRI coronagraphy data. The package runs the official JWST stage 1 and 2 data reduction pipelines with several modifications that improve the quality of high-contrast imaging reductions. spaceKLIP then performs PSF subtraction based on the KLIP algorithm as implemented in pyKLIP (ascl:1506.001), outputs contrast curves, and enables forward model PSF fitting for any detected companions in order to extract their properties (offset and flux).

[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.