output
20212026
most citedA transit timing variation observed for the long-period extremely low density exoplanet HIP 41378f

27 citations

6 papers

astro-ph.IM2026

Modeling Doppler Shifts in Radial-Velocity Data with Deep Learning toward Earth-mass Exoplanet Detection

Isidro Gómez-Vargas, Xavier Dumusque, Yinan Zhao +2

Detecting the tiny Doppler shifts induced by Earth-mass planets in stellar radial-velocity measurements remains extremely challenging due to stellar activity. Many deep-learning me…

math.NA2026

Multiword matrix multiplication over large finite fields in floating-point arithmetic

Jérémy Berthomieu, Stef Graillat, Dimitri Lesnoff +1

This article is concerned with the efficient computation of modular matrix multiplication C=AB mod p, a key kernel in computer algebra. We focus on floating-point arithmetic, which…

astro-ph.EP2023★ 13 cited

TESS discovery of a super-Earth orbiting the M dwarf star TOI-1680

M. Ghachoui, A. Soubkiou, R. D. Wells +52

We report the discovery by the TESS mission of a super-Earth on a 4.8-d orbit around an inactive M4.5 dwarf (TOI-1680) validated by ground-based facilities. The host star is locate…

astro-ph.GA2021★ 21 cited

Mapping the Diversity of Galaxy Spectra with Deep Unsupervised Machine Learning

Hossen Teimoorinia, Finn Archinuk, Joanna Woo +2

Modern spectroscopic surveys of galaxies such as MaNGA consist of millions of diverse spectra covering different regions of thousands of galaxies. We propose and implement a deep u…

astro-ph.EP2021★ 27 cited

A transit timing variation observed for the long-period extremely low density exoplanet HIP 41378f

Edward M. Bryant, Daniel Bayliss, Alexandre Santerne +47

HIP 41378 f is a temperate planet with period of 542.08 days and an extremely low density of g cm. It transits the bright star HIP 41378…

astro-ph.IM2021★ 9 cited

An astronomical image content-based recommendation system using combined deep learning models in a fully unsupervised mode

Hossen Teimoorinia, Sara Shishehchi, Ahnaf Tazwar +4

We have developed a method that maps large astronomical images onto a two-dimensional map and clusters them. A combination of various state-of-the-art machine learning (ML) algorit…