Searching for codes credited to 'Udry, 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:1707.004]
CCFpams: Atmospheric stellar parameters from cross-correlation functions
CCFpams allows the measurement of stellar temperature, metallicity and gravity within a few seconds and in a completely automated fashion. Rather than performing comparisons with spectral libraries, the technique is based on the determination of several cross-correlation functions (CCFs) obtained by including spectral features with different sensitivity to the photospheric parameters. Literature stellar parameters of high signal-to-noise (SNR) and high-resolution HARPS spectra of FGK Main Sequence stars are used to calibrate the stellar parameters as a function of CCF areas.
[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.