Please use this identifier to cite or link to this item: http://hdl.handle.net/2248/7810
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dc.contributor.authorSaha, Suman-
dc.contributor.authorChakrabarty, Aritra-
dc.contributor.authorSengupta, S-
dc.date.accessioned2021-07-23T05:23:45Z-
dc.date.available2021-07-23T05:23:45Z-
dc.date.issued2021-07-01-
dc.identifier.citationThe Astronomical Journal, Vol. 162, No. 1, 18en_US
dc.identifier.issn1538-3881-
dc.identifier.urihttp://hdl.handle.net/2248/7810-
dc.descriptionRestricted Accessen_US
dc.description.abstractThe most challenging limitation in transit photometry arises from the noises in the photometric signal. In particular, the ground-based telescopes are heavily affected by the noise due to perturbation in the Earth’s atmosphere. Use of telescopes with large apertures can improve the photometric signal-to-noise ratio to a great extent. However, detecting a transit signal out of a noisy light curve of the host star and precisely estimating the transit parameters call for various noise reduction techniques. Here, we present multiband transit photometric follow-up observations of five hot Jupiters e.g., HAT-P-30 b, HAT-P-54 b, WASP-43 b, TrES-3 b, and XO-2 N b, using the 2 m Himalayan Chandra Telescope at the Indian Astronomical Observatory, Hanle, and the 1.3 m J. C. Bhattacharya Telescope at the Vainu Bappu Observatory, Kavalur. Our critical noise treatment approach includes techniques such as wavelet denoising and Gaussian process regression, which effectively reduce both time-correlated and time-uncorrelated noise components from our transit light curves. In addition to these techniques, use of our stateof-the-art model algorithms have allowed us to estimate the physical properties of the target exoplanets with a better accuracy and precision compared to the previous studies.en_US
dc.language.isoenen_US
dc.publisherIOP Publishingen_US
dc.relation.urihttps://doi.org/10.3847/1538-3881/ac01dd-
dc.rights© The American Astronomical Society-
dc.subjectTransit photometryen_US
dc.subjectExoplanetsen_US
dc.subjectHot Jupitersen_US
dc.subjectWavelet analysisen_US
dc.subjectGaussian Processes regressionen_US
dc.subjectMarkov chain Monte Carloen_US
dc.titleMultiband transit follow-up observations of five hot Jupiters with critical noise treatments: improved physical propertiesen_US
dc.typeArticleen_US
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