Multifractal Analysis of Expoplanetary Spectra
Abstract
Owing to technological advances the number of exoplanets discovered has risen dramatically in the last few years. However, the false detection rate is still high. We have developed a new approach to the analysis of exoplanetary spectral observations based on temporal multifractality, which focuses on identifying time scales that characterize planetary orbital motion around the host star. With no fitting of spectral data to stellar models, we show how the planetary signal can be robustly detected from the noisy data using stochasticity as a source of information. Combining this with simple geometry allows us to relate the time scales obtained to primary transit and secondary eclipse of the exoplanets. Making use of publicly available data obtained with ground-based and space-based observations we have tested our approach on HD 189733b. We have also investigated the use of this technique in measuring planetary orbital motion via doppler shift detection. We have analyzed data obtained with the SOAP 2.0 tool, that simulates a stellar spectrum and how it can be affected by the presence of a planet or a spot across one orbital period. We have demonstrated that our approach reconstructs the planetary orbital period, as well as the rotation period of a spot on the stellar surface as long as the signal-to-noise-ratio ≥ 100.
- Publication:
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AGU Fall Meeting Abstracts
- Pub Date:
- December 2016
- Bibcode:
- 2016AGUFM.P11A1846A
- Keywords:
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- 5205 Formation of stars and planets;
- PLANETARY SCIENCES: ASTROBIOLOGYDE: 5210 Planetary atmospheres;
- clouds;
- and hazes;
- PLANETARY SCIENCES: ASTROBIOLOGYDE: 5405 Atmospheres;
- PLANETARY SCIENCES: SOLID SURFACE PLANETSDE: 5494 Instruments and techniques;
- PLANETARY SCIENCES: SOLID SURFACE PLANETS