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As next-generation imaging instruments and interferometers search for planets closer to their stars, they must contend with increasing orbital motion and longer integration times. These compounding effects make it difficult to detect faint…

We propose a new data analysis method for obtaining transmission spectra of exoplanet atmospheres and brightness variation across the stellar disk from transit observations. The new method is capable of recovering exoplanet atmosphere…

Solar and Stellar Astrophysics · Physics 2018-05-02 Erik Aronson , Nikolai Piskunov

The use of machine learning is becoming ubiquitous in astronomy, but remains rare in the study of the atmospheres of exoplanets. Given the spectrum of an exoplanetary atmosphere, a multi-parameter space is swept through in real time to find…

Earth and Planetary Astrophysics · Physics 2018-06-12 Pablo Marquez-Neila , Chloe Fisher , Raphael Sznitman , Kevin Heng

Change detection aims to identify remote sense object changes by analyzing data between bitemporal image pairs. Due to the large temporal and spatial span of data collection in change detection image pairs, there are often a significant…

Computer Vision and Pattern Recognition · Computer Science 2024-06-24 Qiangang Du , Jinlong Peng , Changan Wang , Xu Chen , Qingdong He , Wenbing Zhu , Mingmin Chi , Yabiao Wang , Chengjie Wang

Differential imaging is a postprocessing method to obtain high contrast, often used for exoplanet searches. The coherent differential imaging on speckle area nulling (CDI-SAN) method was developed to detect a faint exoplanet lying beneath…

Instrumentation and Methods for Astrophysics · Physics 2022-05-25 Jun Nishikawa

The search for atmospheric biosignatures in Earth-like exoplanets is one of the most pressing challenges in observational astrobiology. Detecting biogenic gases in terrestrial planets requires high-resolution observations and long…

Earth and Planetary Astrophysics · Physics 2025-04-03 David S. Duque-Castaño , Jorge I. Zuluaga , Lauren Flor-Torres

Astronomical observations are affected by several kinds of noise, each with its own causal source; there is photon noise, stochastic source variability, and residuals coming from imperfect calibration of the detector or telescope. The…

Earth and Planetary Astrophysics · Physics 2016-06-29 Dun Wang , David W. Hogg , Dan Foreman-Mackey , Bernhard Schölkopf

The dark-speckle method (Labeyrie 1995) combines features of speckle interferometry and adaptive optics to provide images of faint circumstellar material. We present preliminary results of observations, and simulations concluding to the…

Astrophysics · Physics 2007-05-23 A. Boccaletti , A. Labeyrie , R. Ragazzoni

The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct detection. For this purpose, it gathers on a dedicated…

Radial velocity surveys for extra-solar planets generally require substantial amounts of large telescope time in order to monitor a sufficient number of stars. Two of the aspects which can limit such surveys are the single-object…

Astrophysics · Physics 2008-11-26 Stephen R. Kane , Donald P. Schneider , Jian Ge

The quest for Earth-like, extrasolar planets (exoplanets), especially those located inside the habitable zone of their host stars, requires techniques sensitive enough to detect the faint signals produced by those planets. The radial…

Earth and Planetary Astrophysics · Physics 2017-11-29 M. Oshagh

Collisions at high-energy particle colliders are a traditionally fruitful source of exotic particle discoveries. Finding these rare particles requires solving difficult signal-versus-background classification problems, hence machine…

High Energy Physics - Phenomenology · Physics 2015-06-18 Pierre Baldi , Peter Sadowski , Daniel Whiteson

The treatment of systematic noise is a significant aspect of transit exoplanet data processing due to the signal strength of systematic noise relative to a transit signal. Typically the standard approach to transit detection is to estimate…

Earth and Planetary Astrophysics · Physics 2020-06-10 Jamila Taaki , Farzad Kamalabadi , Athol J. Kemball

Transits of habitable planets around solar-like stars are expected to be shallow, and to have long periods, which means low information content. The current bottleneck in the detection of such transits is caused in large part by the…

Instrumentation and Methods for Astrophysics · Physics 2018-03-28 Shay Zucker , Raja Giryes

Differential spectroscopy during exoplanet transits permits to reconstruct spectra of small stellar surface portions that successively become hidden behind the planet. The center-to-limb behavior of stellar line shapes, asymmetries and…

Solar and Stellar Astrophysics · Physics 2014-08-08 Dainis Dravins , Hans-Günter Ludwig , Erik Dahlén , Hiva Pazira

Rigorously quantifying the information in high contrast imaging data is important for informing follow-up strategies to confirm the substellar nature of a point source, constraining theoretical models of planet-disk interactions, and…

Instrumental projects that will improve the direct optical finding and characterisation of exoplanets have advanced sufficiently to trigger organized investigation and development of corresponding signal processing algorithms. The first…

Over the past 4 decades, the exploration of planets beyond our solar system has yielded the discovery of over 5600 exoplanets orbiting different stars. Continuous advancements in instrumentation and cutting-edge techniques empower…

Earth and Planetary Astrophysics · Physics 2024-05-09 Alice Zurlo

With the increasing number of directly imaged giant exoplanets the current atmosphere models are often not capable of fully explaining the spectra and luminosity of the sources. A particularly challenging component of the atmosphere models…

Earth and Planetary Astrophysics · Physics 2015-06-11 Veselin B. Kostov , Dániel Apai

Change detection is one of the central problems in earth observation and was extensively investigated over recent decades. In this paper, we propose a novel recurrent convolutional neural network (ReCNN) architecture, which is trained to…

Computer Vision and Pattern Recognition · Computer Science 2019-03-27 Lichao Mou , Lorenzo Bruzzone , Xiao Xiang Zhu