Searching for codes credited to 'Hoyer, S'
➥ Tip! Refine or expand your search. Authors are sometimes listed as 'Smith, J. K.' instead of 'Smith, John' so it is useful to search for last names only. Note this is currently a simple phrase search.
[ascl:2012.015]
seaborn: Statistical data visualization
Waskom, Michael;
Botvinnik, Olga;
Gelbart, Maoz;
Ostblom, Joel;
Hobson, Paul;
Lukauskas, Saulius;
Gemperline, David C;
Augspurger, Tom;
Halchenko, Yaroslav;
Warmenhoven, Jordi;
Cole, John B.;
De Ruiter, Julian;
Vanderplas, Jake;
Hoyer, Stephan;
Pye, Cameron;
Miles, Alistair;
Swain, Corban;
Meyer, Kyle;
Martin, Marcel;
Bachant, Pete Quintero, Eric;
Kunter, Gero;
Villalba, Santi;
Brian;
Fitzgerald, Clark;
Evans, C. G.;
Williams, Mike Lee;
O'Kane, Drew;
Yarkoni, Tal;
Brunner, Thomas
Seaborn provides a high-level interface for drawing attractive statistical graphics. Written in Python, it builds on matplotlib and integrates closely with pandas data structures. Its plotting functions operate on dataframes and arrays containing whole datasets and internally perform the necessary semantic mapping and statistical aggregation to produce informative plots. Its dataset-oriented, declarative API allows the user to focus on what the different elements of the plots mean, rather than on the details of how to draw them.
[ascl:2006.015]
ARCHI: Add-on pipeline module for background star analysis from CHEOPS data
The CHaracterizing ExOPlanet Satellite (CHEOPS) mission pipeline provides photometry for the central star in its field; ARCHI takes in data from the CHEOPS mission pipeline, analyzes the background stars, and determines the photometry of these stars, thus creating the possibility of producing photometric time-series of several close-by targets at once, in addition to using different stars in the image to calibrate systematic errors.
[ascl:2312.034]
pycheops: Light curve analysis for ESA CHEOPS data
Maxted, P. F. L.;
Ehrenreich, D.;
Wilson, T. G.;
Alibert, Y.;
Cameron, A. Collier;
Hoyer, S.;
Sousa, S. G.;
Olofsson, G.;
Bekkelien, A.;
Deline, A.;
Delrez, L.;
Bonfanti, A.;
Borsato, L.;
Alonso, R.;
Anglada Escudé, G.;
Barrado, D.;
Barros, S. C. C.;
Baumjohann, W.;
Beck, M.;
Beck, T.;
Benz, W.;
Billot, N.;
Biondi, F.;
Bonfils, X.;
Brandeker, A.;
Broeg, C.;
Bárczy, T.;
Cabrera, J.;
Charnoz, S.;
Corral Van Damme, C.;
Csizmadia, Sz;
Davies, M. B.;
Deleuil, M.;
Demangeon, O. D. S.;
Demory, B. -O.;
Erikson, A.;
Florén, H. G.;
Fortier, A.;
Fossati, L.;
Fridlund, M.;
Futyan, D.;
Gandolfi, D.;
Gillon, M.;
Guedel, M.;
Guterman, P.;
Heng, K.;
Isaak, K. G.;
Kiss, L.;
Laskar, J.;
Lecavelier des Etangs, A.;
Lendl, M.;
Lovis, C.;
Magrin, D.;
Nascimbeni, V.;
Ottensamer, R.;
Pagano, I.;
Pallé, E.;
Peter, G.;
Piotto, G.;
Pollacco, D.;
Pozuelos, F. J.;
Queloz, D.;
Ragazzoni, R.;
Rando, N.;
Rauer, H.;
Reimers, C.;
Ribas, I.;
Salmon, S.;
Santos, N. C.;
Scandariato, G.;
Simon, A. E.;
Smith, A. M. S.;
Steller, M.;
Swayne, M. I.;
Szabó, Gy M.;
Ségransan, D.;
Thomas, N.;
Udry, S.;
Van Grootel, V.;
Walton, N. A.
pycheops analyzes CHEOPS light curve data. The models in the package can also be applied to other types of data. pycheops includes a "cook book" and examples; in addition, it provides a command-line tool that aids in the preparation of observing requests for CHEOPS observers.