Searching for codes credited to 'Udry, S.'
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[ascl:2004.015]
IRDAP: SPHERE-IRDIS polarimetric data reduction pipeline
van Holstein, R. G.;
Girard, J. H.;
de Boer, J.;
Snik, F.;
Milli, J.;
Stam, D. M.;
Ginski, C.;
Mouillet, D.;
Wahhaj, Z.;
Schmid, H. M.;
Keller, C. U.;
Langlois, M.;
Dohlen, K.;
Vigan, A.;
Pohl, A.;
Carbillet, M.;
Fantinel, D.;
Maurel, D.;
Origné, A.;
Petit, C. Ramos, J.;
Rigal, F.;
Sevin, A.;
Boccaletti, A.;
Le Coroller, H.;
Dominik, C.;
Henning, T.;
Lagadec, E.;
Ménard, F.;
Turatto, M.;
Udry, S.;
Chauvin, G.;
Feldt, M.;
Beuzit, J. -L.
IRDAP (IRDIS Data reduction for Accurate Polarimetry) accurately reduces SPHERE-IRDIS polarimetric data. It is a highly-automated end-to-end pipeline; its core feature is model-based correction of the instrumental polarization effects. IRDAP handles data taken both in field- and pupil-tracking mode and using the broadband filters Y, J, H and Ks. Data taken with the narrowband filters can be reduced as well, although with a somewhat worse accuracy. For pupil-tracking observations IRDAP can additionally apply angular differential imaging.
[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.