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Microlensing offers a unique opportunity to probe exoplanets that are temperate and beyond the snow line, as small as Jovian satellites, at extragalactic distance, and even free floating exoplanets, regimes where the sensitivity of other…

Earth and Planetary Astrophysics · Physics 2019-03-13 Chien-Hsiu Lee , Rachel Street , Kailash Sahu , Eliad Peretz

Future space telescopes now in the concept and design stage aim to observe reflected light spectra of extrasolar planets. Assessing whether given notional mission and instrument design parameters will provide data suitable for constraining…

Earth and Planetary Astrophysics · Physics 2020-04-29 Timothy K Johnsen , Mark S Marley

Direct detection of a planet around a star in the mid-IR, requires a nulling interferometer featuring an achromatic phase shift of pi on broad range. A new concept for designing such an achromatic phase shifter is presented here. The major…

Astrophysics · Physics 2009-11-13 Daniel Rouan , Didier Pelat

The obliquity of a terrestrial planet is an important clue about its formation and critical to its climate. Previous studies using simulated photometry of Earth show that continuous observations over most of a planet's orbit can be inverted…

Earth and Planetary Astrophysics · Physics 2018-03-02 Joel C. Schwartz , Clara Sekowski , Hal M. Haggard , Eric Pallé , Nicolas B. Cowan

Inverse problems and, in particular, inferring unknown or latent parameters from data are ubiquitous in engineering simulations. A predominant viewpoint in identifying unknown parameters is Bayesian inference where both prior information…

Computation · Statistics 2022-08-31 Vahid Keshavarzzadeh , Robert M. Kirby , Akil Narayan

CONTEXT: Combining high-contrast imaging with high-resolution spectroscopy offers a powerful way to detect and characterize exoplanets around nearby stars, despite challenges linked to their faintness. Instruments like VLT/SPHERE are state…

Instrumentation and Methods for Astrophysics · Physics 2025-04-10 S. Martos , A. Bidot , A. Carlotti , D. Mouillet

The new generation of observatories and instruments (VLT/ERIS, JWST, ELT) motivate the development of robust methods to detect and characterise faint and close-in exoplanets. Molecular mapping and cross-correlation for spectroscopy use…

Models like support vector machines or Gaussian process regression often require positive semi-definite kernels. These kernels may be based on distance functions. While definiteness is proven for common distances and kernels, a proof for a…

Machine Learning · Computer Science 2018-07-11 Martin Zaefferer , Thomas Bartz-Beielstein , Günter Rudolph

This paper proposes an extension of Random Projection Depth (RPD) to cope with multiple modalities and non-convexity on data clouds. In the framework of the proposed method, the RPD is computed in a reproducing kernel Hilbert space. With…

Machine Learning · Statistics 2023-09-07 Akira Tamamori

The `kernel' of the classical Kuiper belt was discovered by Petit et al. (2011) as a visual overdensity of objects with low ecliptic inclinations and eccentricities at semimajor axes near 44 AU. This raises the question - are there other…

Earth and Planetary Astrophysics · Physics 2025-11-12 Amir Siraj , Christopher F. Chyba , Scott Tremaine

Transit timing variations - deviations from strict periodicity between successive passages of a transiting planet - can be used to probe the structure and dynamics of multiple-planet systems. In this paper, we examine prospects for…

Earth and Planetary Astrophysics · Physics 2015-05-19 Stefano Meschiari , Gregory Laughlin

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

This paper presents Two-Stage LKPLO, a novel multi-stage outlier detection framework that overcomes the coexisting limitations of conventional projection-based methods: their reliance on a fixed statistical metric and their assumption of a…

Machine Learning · Computer Science 2025-11-04 Akira Tamamori

Kepler Mission results are rapidly contributing to fundamentally new discoveries in both the exoplanet and asteroseismology fields. The data returned from Kepler are unique in terms of the number of stars observed, precision of photometry…

The radial-velocity (RV) method is one of the most successful in the detection of exoplanets, but is hindered by the intrinsic RV variations of the star, which can easily mimic or hide true planetary signals. kima is a package for the…

Instrumentation and Methods for Astrophysics · Physics 2018-06-22 J. P. Faria , N. C. Santos , P. Figueira , B. J. Brewer

Kernel-phase is a recently developed paradigm that tackles the classical problem of image deconvolution, based on an interferometric point of view of image formation. Kernel-phase inherits and borrows from the notion of closure-phase,…

Instrumentation and Methods for Astrophysics · Physics 2015-06-17 Frantz Martinache

Stellar photometric variability and instrumental effects, like cosmic ray hits, data discontinuities, data leaks, instrument aging etc. cause difficulties in the characterization of exoplanets and have an impact on the accuracy and…

Earth and Planetary Astrophysics · Physics 2023-07-12 Sz. Csizmadia , A. M. S. Smith , J. Cabrera , P. Klagyivik , A. Chaushev , K. W. F. Lam

We introduce an observational tool based on visibility nulls in optical spectro-interferometry fringe data to probe the structure of stellar atmospheres. In a preliminary demonstration, we use both Navy Precision Optical Interferometer…

Instrumentation and Methods for Astrophysics · Physics 2019-07-26 J. T. Armstrong , A. M. Jorgensen , D. Mozurkewich , H. R. Neilson , E. K. Baines , H. R. Schmitt , G. T. van Belle

Spherical radial-basis-based kernel interpolation abounds in image sciences including geophysical image reconstruction, climate trends description and image rendering due to its excellent spatial localization property and perfect…

Machine Learning · Computer Science 2024-01-17 Xiaotong Liu , Jinxin Wang , Di Wang , Shao-Bo Lin

Existing tamper-evident logging systems suffer from high overhead and severe data loss in high-load settings, yet only provide coarse-grained tamper detection. Moreover, installing such systems requires recompiling kernel code. To address…

Cryptography and Security · Computer Science 2025-09-09 Rui Zhao , Muhammad Shoaib , Viet Tung Hoang , Wajih Ul Hassan