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Astrophysics Source Code Library

Making codes discoverable since 1999

Searching for codes credited to 'Pozuelos, F. J.'

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[ascl:2306.043] SHERLOCK: Explore Kepler, K2, and TESS data
Dévora-Pajares, M.; Pozuelos, F. J.; Thuillier, A.; García,L.; Cerdeño Mota, L.

The end-to-end SHERLOCK (Searching for Hints of Exoplanets fRom Lightcurves Of spaCe-based seeKers) pipeline allows users to explore data from space-based missions to search for planetary candidates. It can recover alerted candidates by the automatic pipelines such as SPOC and the QLP, Kepler objects of interest (KOIs) and TESS objects of interest (TOIs), and can search for candidates that remain unnoticed due to detection thresholds, lack of data exploration, or poor photometric quality. SHERLOCK has six different modules to perform its tasks; these modules can be executed by filling in an initial YAML file with some basic information and using a few lines of code sequentially to pass from one step to the next. Alternatively, the user may provide with the light curve in a csv file, where the time, normalized flux, and flux error are provided in columns in comma-separated format.

[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.

[ascl:2506.004] TESS-cont: TESS contamination tool
Castro-González, A.; Lillo-Box, J.; Armstrong, D. J.; Acuña, L.; Aguichine, A.; Bourrier, V.; Gandhi, S.; Sousa, S. G.; Delgado-Mena, E.; Moya, A.; Adibekyan, V.; Correia, A. C. M.; Barrado, D.; Damasso, M.; Winn, J. N.; Santos, N. C.; Barkaoui, K.; Barros, S. C. C.; Benkhaldoun, Z.; Bouchy, F.; Briceño, C.; Caldwell, D. A.; Collins, K. A.; Essack, Z.; Ghachoui, M.; Gillon, M.; Hounsell, R.; Jehin, E.; Jenkins, J. M.; Keniger, M. A. F.; Law, N.; Mann, A. W.; Nielsen, L. D.; Pozuelos, F. J.; Schanche, N.; Seager, S.; Tan, T. -G.; Timmermans, M.; Villaseñor, J.; Watkins, C. N.; Ziegler, C.

TESS-cont quantifies the flux fraction coming from nearby stars in the TESS photometric aperture of any observed target. The package identifies the main contaminant Gaia DR2/DR3 sources, quantifies their individual and total flux contributions to the aperture, and determines whether any of these stars could be the origin of the observed transit and variability signals. Written in Python, TESS-cont is based on building the pixel response functions (PRFs) of nearby Gaia sources and computing their flux distributions across the TESS Target Pixel Files (TPFs) or Full Frame Images (FFIs).