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Searching for codes credited to 'Ogaz, Sara'

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[ascl:2011.024] ACStools: Python tools for Hubble Space Telescope Advanced Camera for Surveys data
Lim, Pey Lian; Davis, Matt; Hack, Warren; Grogin, Norman; Ogaz, Sara; Ubeda, Leonardo; Cara, Mihai; Borncamp, David; Miles, Nathan

The ACStools package contains Python tools to work with data from the Hubble Space Telescope (HST) Advanced Camera for Surveys (ACS). The package has several calibration utilities and a zeropoints calculator, can detect satellite trails, and offers destriping, polarization, and photometric tools.

[ascl:2307.001] Jdaviz: JWST astronomical data analysis tools in the Jupyter platform
JDADF Developers; Averbukh, Jesse; Bradley, Larry; Buikhuizen, Mario; Busko, Ivo; Cherinka, Brian; Conroy, Kyle; Earl, Nicholas; Fox, Ori; Geda, Robel; Jones, Craig; Karatay, Hatice; Kotler, Jenn; Lim, Pey Lian; Morris, Brett; Nguyen, Duy; O'Steen, Richard; Ogaz, Sara; Ogle, Patrick; Otor, O. Justin; Pacifici, Camilla; Robitaille, Thomas; Shanahan, Clare; Tollerud, Erik; Volfman, Sabrina

Jdaviz provides data viewers and analysis plugins that can be flexibly combined as desired to create interactive applications. It offers Specviz (ascl:1902.011) for visualization and quick-look analysis of 1D astronomical spectra; Mosviz for visualization of astronomical spectra, including 1D and 2D spectra as well as contextual information, and Cubeviz for visualization of spectroscopic data cubes (such as those produced by JWST MIRI). Imviz, which provides visualization and quick-look analysis for 2D astronomical images, is also included. Jdaviz is designed with instrument modes from the James Webb Space Telescope (JWST) in mind, but the tool is flexible enough to read in data from many astronomical telescopes, and the documentation provides a complete table of all supported modes.