Imaging & Spectroscopy

Likelihood Ratio Map For Direct Exoplanet Detection

By Keith Cowing
Press Release
October 20, 2022
Filed under , , , ,
Likelihood Ratio Map For Direct Exoplanet Detection
From left to right, median-SNR map, L-SNR map, and LR map, respectively. Firstly, they are tested using the real planet (top line), then using three fake planets injected to the separation 1–2 λ/D with 1σann (bottom line). They are obtained with AnnPCA using 20 PCs on β Pictoris data set. Note that the simultaneous injection of three fake planets is only for illustration; the ROC curves of Fig. 5 are obtained with single planet injections. We relied on the VIP package [6] for step 1 and step 3 of the pipeline and for displaying the SNR maps.

Direct imaging of exoplanets is a challenging task due to the small angular distance and high contrast relative to their host star, and the presence of quasi-static noise.

We propose a new statistical method for direct imaging of exoplanets based on a likelihood ratio detection map, which assumes that the noise after the background subtraction step obeys a Laplacian distribution. We compare the method with two detection approaches based on signal-to-noise ratio (SNR) map after performing the background subtraction by the widely used Annular Principal Component Analysis (AnnPCA).

The experimental results on the Beta Pictoris data set show the method outperforms SNR maps in terms of achieving the highest true positive rate (TPR) at zero false positive rate (FPR).

Hazan Daglayan, Simon Vary, Faustine Cantalloube, P.-A. Absil, Olivier Absil

Subjects: Instrumentation and Methods for Astrophysics (astro-ph.IM); Earth and Planetary Astrophysics (astro-ph.EP)
Cite as: arXiv:2210.10609 [astro-ph.IM] (or arXiv:2210.10609v1 [astro-ph.IM] for this version)
Submission history
From: Hazan Daglayan
[v1] Wed, 19 Oct 2022 14:56:07 UTC (377 KB)

Explorers Club Fellow, ex-NASA Space Station Payload manager/space biologist, Away Teams, Journalist, Lapsed climber, Synaesthete, Na’Vi-Jedi-Freman-Buddhist-mix, ASL, Devon Island and Everest Base Camp veteran, (he/him) 🖖🏻