%0 Generic %1 agarwal2016exoplanetary %A Agarwal, Sahil %A Del Sordo, Fabio %A Wettlaufer, John S. %D 2016 %K exoplanet %T Exoplanetary Detection By Multifractal Spectral Analysis %U http://arxiv.org/abs/1609.06148 %X Owing to technological advances the number of exoplanets discovered has risen dramatically in the last few years. However, when trying to observe Earth analogs, it is often difficult to test the veracity of detection. We have developed a new approach to the analysis of exoplanetary spectral observations based on temporal multifractality, which identifies time scales that characterize planetary orbital motion around the host star. Without fitting spectral data to stellar models, we show how the planetary signal can be robustly detected from noisy data using noise amplitude as a source of information. For observation of transiting planets, combining this method with simple geometry allows us to relate the time scales obtained to primary transit and secondary exoplanet eclipse of the exoplanets. Making use of data obtained with ground-based and space-based observations we have tested our approach on HD 189733b. Moreover, we have investigated the use of this technique in measuring planetary orbital motion via doppler shift detection. Finally, we have analyzed numerical data obtained using the SOAP 2.0 tool, which simulates a stellar spectrum and the influence of the presence of a planet or a spot on that spectrum over one orbital period. We have demonstrated that, so long as the signal-to-noise-ratio $\ge$ 100, our approach reconstructs the planetary orbital period, as well as the rotation period of a spot on the stellar surface.

@misc{agarwal2016exoplanetary, abstract = {Owing to technological advances the number of exoplanets discovered has risen dramatically in the last few years. However, when trying to observe Earth analogs, it is often difficult to test the veracity of detection. We have developed a new approach to the analysis of exoplanetary spectral observations based on temporal multifractality, which identifies time scales that characterize planetary orbital motion around the host star. Without fitting spectral data to stellar models, we show how the planetary signal can be robustly detected from noisy data using noise amplitude as a source of information. For observation of transiting planets, combining this method with simple geometry allows us to relate the time scales obtained to primary transit and secondary exoplanet eclipse of the exoplanets. Making use of data obtained with ground-based and space-based observations we have tested our approach on HD 189733b. Moreover, we have investigated the use of this technique in measuring planetary orbital motion via doppler shift detection. Finally, we have analyzed numerical data obtained using the SOAP 2.0 tool, which simulates a stellar spectrum and the influence of the presence of a planet or a spot on that spectrum over one orbital period. We have demonstrated that, so long as the signal-to-noise-ratio $\ge$ 100, our approach reconstructs the planetary orbital period, as well as the rotation period of a spot on the stellar surface.}, added-at = {2016-09-21T16:00:27.000+0200}, author = {Agarwal, Sahil and Del Sordo, Fabio and Wettlaufer, John S.}, biburl = {https://www.bibsonomy.org/bibtex/2b98e530f28b0eb4a5dd37effe9e38917/superjenwinters}, description = {Exoplanetary Detection By Multifractal Spectral Analysis}, interhash = {339ad17babd8a48a8023f82ae0534e40}, intrahash = {b98e530f28b0eb4a5dd37effe9e38917}, keywords = {exoplanet}, note = {cite arxiv:1609.06148}, timestamp = {2016-09-21T16:00:27.000+0200}, title = {Exoplanetary Detection By Multifractal Spectral Analysis}, url = {http://arxiv.org/abs/1609.06148}, year = 2016 }