Results 11 to 20 of about 62,310 (153)

DIAmante TESS AutoRegressive Planet Search (DTARPS). III. Understanding the DTARPS-S Candidate Transiting Planet Catalogs

open access: yesThe Astronomical Journal
The DIAmante Transiting Exoplanet Sky Survey (TESS) AutoRegressive Planet Search (DTARPS) project, using novel statistical methods, has identified several hundred candidates for transiting planetary systems obtained from 0.9 million full-frame Image ...
Elizabeth J. Melton   +5 more
doaj   +2 more sources

exoplanet: Gradient-based probabilistic inference for exoplanet data & other astronomical time series [PDF]

open access: yes, 2021
What's Changed Adding test and fixing deprecated unit parameters by @dfm in https://github.com/exoplanet-dev/exoplanet/pull/211 Removing old ValueError in Keplerian orbit that should never be hit by @dfm in https://github.com/exoplanet-dev/exoplanet ...
Savel, Arjun   +41 more
core   +1 more source

exoplanet-dev/exoplanet: exoplanet v0.4.5

open access: yes, 2021
0.5.0 (2021-05-04) Adds high-level, pure-Theano/Aesara implementation of RegularGridInterpolator to replace compiled version #167 Moves compiled Ops to exoplanet-core making exoplanet a pure-Python package #171 Moves ReboundOp and ReboundOrbit to ...
emilygilbert   +10 more
core   +1 more source

Stellar Variability of Known Exoplanet Hosts Observed by TESS

open access: yes, 2021
Characterizing an exoplanet requires knowledge of its host star’s intrinsic properties. The activity of a star can lend a unique perspective of how the star interacts with an exoplanet atmosphere and the ability to confirm an exoplanet’s place in a ...
Simpson, Emilie   +4 more
core   +1 more source

Star Classification: A Deep Learning Approach for Identifying Binary and Exoplanet Stars [PDF]

open access: yes, 2023
We present a novel approach for classifying stars as binary or exoplanet using deep learning techniques. Our method utilizes feature extraction, wavelet transformation, and a neural network on the light curves of stars to achieve high-accuracy results ...
Kumar, Aman, Gharat, Sarvesh
core   +1 more source

Correlations between the stellar, planetary, and debris components of exoplanet systems observed by Herschel [PDF]

open access: yes, 2014
J.P.M., C.E., J.M. and B.M. are partially supported by Spanish grant AYA 2011-26202. This work was supported by the European Union through ERC grant number no.
Lestrade, J.-F.   +85 more
core   +1 more source

Exoplanet imaging data challenge: benchmarking the various image processing methods for exoplanet detection [PDF]

open access: yes, 2020
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 repository (Zenodo)
Desgrange, Célia   +81 more
core   +1 more source

Exoplanet characterization using conditional invertible neural networks [PDF]

open access: yes, 2023
Context. The characterization of the interior of an exoplanet is an inverse problem. The solution requires statistical methods such as Bayesian inference.
Ralf S. Klessen   +26 more
core   +2 more sources

The Unistellar Exoplanet Campaign: Citizen Science Results and Inherent Education Opportunities [PDF]

open access: yes, 2023
This paper presents early results from and prospects for exoplanet science using a citizen science private/public partnership observer network managed by the SETI Institute in collaboration with Unistellar.
Unistellar Citizen Scientists,   +11 more
core   +2 more sources

astrozeng/exoplanet: Exoplanet mass-radius plotting and analyzing tool

open access: yes, 2022
This is a Mathematica plotting tool developed to plot the exoplanet data in mass-radius diagram, and the relevant histograms (mass-histogram, radius-histogram, and \zeta-histogram).
astrozeng
core   +1 more source

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