The democratic detrender: Ensemble-Based Removal of the Nuisance Signal in Stellar Time-Series Photometry
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arXiv
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| Main Authors: | , , , , , , , , , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866912898207449088 |
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| author | Yahalomi, Daniel A. Kipping, David Solano-Oropeza, Diana Li, Madison Poddar, Avishi Xunhe Zhang Abaakil, Yassine Cassese, Benjamin Teachey, Alex Liu, Jiajing Sundai, Farai Valaskovic, Lila |
| author_facet | Yahalomi, Daniel A. Kipping, David Solano-Oropeza, Diana Li, Madison Poddar, Avishi Xunhe Zhang Abaakil, Yassine Cassese, Benjamin Teachey, Alex Liu, Jiajing Sundai, Farai Valaskovic, Lila |
| contents | Accurate, precise, and computationally efficient removal of unwanted activity that exists as a combination of periodic, quasi-periodic, and non-periodic systematic trends in time-series photometric data is a critical step in exoplanet transit analysis. Throughout the years, many different modeling methods have been used for this process, often called "detrending." However, there is no community-wide consensus regarding the favored approach. In order to mitigate model dependency, we present an ensemble-based approach to detrending via community-of-models and the democratic detrender: a modular and scalable open-source coding package that implements ensemble detrending. The democratic detrender allows users to select from a number of packaged detrending methods (including cosine filtering, Gaussian processes, and polynomial fits) or provide their own set of detrended light curves via methods of their choosing. It then combines the individually detrended light curves into a single method marginalized light curve. Additionally, the democratic detrender inflates each data point's uncertainty based on the scatter between detrenders, thereby propagating model-selection uncertainty into the final light curve. This ensemble strategy does not guarantee improvement over the single best-performing detrending method, but it substantially reduces the risk of selecting a detrending solution that is poorly calibrated or overfit to noise. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2411_09753 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The democratic detrender: Ensemble-Based Removal of the Nuisance Signal in Stellar Time-Series Photometry Yahalomi, Daniel A. Kipping, David Solano-Oropeza, Diana Li, Madison Poddar, Avishi Xunhe Zhang Abaakil, Yassine Cassese, Benjamin Teachey, Alex Liu, Jiajing Sundai, Farai Valaskovic, Lila Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics Accurate, precise, and computationally efficient removal of unwanted activity that exists as a combination of periodic, quasi-periodic, and non-periodic systematic trends in time-series photometric data is a critical step in exoplanet transit analysis. Throughout the years, many different modeling methods have been used for this process, often called "detrending." However, there is no community-wide consensus regarding the favored approach. In order to mitigate model dependency, we present an ensemble-based approach to detrending via community-of-models and the democratic detrender: a modular and scalable open-source coding package that implements ensemble detrending. The democratic detrender allows users to select from a number of packaged detrending methods (including cosine filtering, Gaussian processes, and polynomial fits) or provide their own set of detrended light curves via methods of their choosing. It then combines the individually detrended light curves into a single method marginalized light curve. Additionally, the democratic detrender inflates each data point's uncertainty based on the scatter between detrenders, thereby propagating model-selection uncertainty into the final light curve. This ensemble strategy does not guarantee improvement over the single best-performing detrending method, but it substantially reduces the risk of selecting a detrending solution that is poorly calibrated or overfit to noise. |
| title | The democratic detrender: Ensemble-Based Removal of the Nuisance Signal in Stellar Time-Series Photometry |
| topic | Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Solar and Stellar Astrophysics |
| url | https://arxiv.org/abs/2411.09753 |