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Detection of exomoons in simulated light curves with a regularized ...


Articles by Rasha Alshehhi - Synthical

Detection of exomoons in simulated light curves with a regularized convolutional neural network. 26 May 2020 by Rasha Alshehhi and others. Earth and Planetary ...

The Extrasolar Planets Encyclopaedia — Bibliography

-K. 2020 | MNRAS, 497, 2425 | paper arxiv. Update: Aug. 7, 2020. Detection of exomoons in simulated light curves with a regularized convolutional neural network.

High-precision photometry with Ariel - Digital CSIC

To demonstrate the precision, we defined a set of template systems at various distances. 2.2 Limb darkening coefficients. For the light curve simulations, limb- ...

On the Quality of Deep Representations for Kepler Light Curves ...

Indeed, the resulting light curve could be compared to the isolated simulation of a transit object. The proposed quality factor of the ...

The search for exomoons and the characterization of exoplanet ...

Finally suggestions on future observations and simulations have been made along with a brief introduction of future extra solar objects detection mis-sions. All ...

Searching for Small Circumbinary Planets. I. The STANLEY ...

This regularity is the basis of common detection methods such as boxed least squares (BLS; Kovács et al. 2002), where the light curve is phase- ...

Searching for 'orbit' - ASCL.net

... detection techniques to the simulated data. ... The simple, straightforward Exotrending code detrends exoplanet transit light curves given a light curve ...

Papers Acknowledging the NASA Exoplanet Archive - Caltech

Occurrence Rates of Exosatellites Orbiting 3–30 M Jup Hosts from 44 Spitzer Light Curves ... BEER analysis of Kepler and CoRoT light curves: IV.

"Observational characterization of exoplanetary systems"

Using both simulated and real data of scattered light of the Earth for 1 or 2 years, we find that particular sets of the regularization parameters in the new ...

‪Rasha Alshehhi‬ - ‪Google Scholar‬

Detection of exomoons in simulated light curves with a regularized convolutional neural network. R Alshehhi, K Rodenbeck, L Gizon, KR Sreenivasan. Astronomy & ...

‪Rasha Alshehhi‬ - ‪Google Scholar‬

Detection of exomoons in simulated light curves with a regularized convolutional neural network. R Alshehhi, K Rodenbeck, L Gizon, KR Sreenivasan. Astronomy & ...

(PDF) The Transits of Extrasolar Planets with Moons - Academia.edu

Selected targets are fitted using a multimodal nested sampling algorithm coupled with a planet-with-moon light curve modelling routine. By comparing the ...

Global Mapping of an Exo-Earth using Sparse Modeling - Astrobiology

We apply the new method to simulated scattered light curves of the Earth, and find that the new method provides a better spatial resolution ...

Browsing Codes - ASCL.net

... determination, epoc folding, sinus fitting, and light curve simulations. ... SDAR (Slow-Down Algorithmic Regularization) simulates ...

Simulation and Measurement of Multispectral Light Curves from ...

Computed quantities are therefore calculated as spectral radiance values corresponding to incident rays on a detector. To compare simulations to ...

The Extrasolar Planets Encyclopaedia — Bibliography

Non-detection of O2/O3 informs frequency of Earth-like ... Detection of exomoons in simulated light curves with a regularized convolutional neural network.

Exomoon indicators in high-precision transit light curves - NASA/ADS

We find that Kepler and PLATO have similar performances in detecting the exomoon-induced TRV effect around simulated bright (mV = 8) stars. Although these ...

Methods of detecting exoplanets - Wikipedia

Any planet is an extremely faint light source compared to its parent star. For example, a star like the Sun is about a billion times as bright as the ...

PHOTOMETRIC SEARCHES FOR EXOPLANETS AND ...

In addition to the photometric methods, based on light curves analysis for the discovery of new ... Also, orbital dynamics and exomoons detection could be ...

Comparing convolutional neural networks and recurrent neural ...

Successful deep learning models applied to exoplanet detection through stellar light curve data include. MLPs (Kipping & Lam, 2017), CNNs ( ...