Recovery of Very Low Signal-to-Noise Transiting Lightcurves Using Self-coherence

Details Recovery of Very Low Signal-to-Noise Transiting Lightcurves Using Self-coherence Recovery of Very Low Signal-to-Noise Transiting Lightcurves Using Self-coherence

Jul 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010hstc.worke..76w&link_type=abstract

"2010 Space Telescope Science Institute Calibration Workshop - Hubble after SM4. Preparing JWST, held 21-23 July 2010 at Space T

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The detection and characterisation of telluric planets from space and ground facilities is one of the main goals of future exoplanet research, thus the importance of being able to fully recover and understand data in low signal-to-noise (SNR) conditions is crucial. Methods such as "self-coherence" allow for the retrieval of signals buried far below the noise level. In particular, at SNRs ˜ 1 the noise may suppress high-order coefficients in the eclipse signal's Fourier series. As a consequence the shape of the retrieved transit-curve becomes inherently linked with noise, as well as the overall morphology of the timeseries. Understanding the details of this process is key to fully recovering the shape and depth of the original signal. In this paper we have used Monte-Carlo simulations of very low SNR data, to investigate morphological changes of the original eclipse at low-SNRs. Furthermore, we demonstrate the full recovery of the eclipse transit-depth down to SNRs of 0.15 per spectral channel using calibration techniques described here. A clear understanding of methods such as self-coherence is essential for probing ever weaker atmospheric signatures such as the ones observed for extrasolar planets.

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