Cover Image

An Explainable Deep-learning Model of Proton Auroras on Mars

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Dhuri, Dattaraj B., Atri, Dimitra, AlHantoobi, Ahmed
Format:	Preprint
Published:	2023
Subjects:	Earth and Planetary Astrophysics Instrumentation and Methods for Astrophysics Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Modeling the effectiveness of radiation shielding materials for astronaut protection on Mars
by: Gakis, Dionysios, et al.
Published: (2022)

A systematic study of hot O production and escape from Martian atmosphere in response to enhanced EUV Irradiance from Solar Flares
by: Rathi, Chirag, et al.
Published: (2025)

Explainable Deep-Learning Based Potentially Hazardous Asteroids Classification Using Graph Neural Networks
by: Jacques, Baimam Boukar Jean
Published: (2025)

Deep learning for exoplanet detection and characterization by direct imaging at high contrast
by: Bodrito, Théo, et al.
Published: (2025)

DeepTTV: Deep Learning Prediction of Hidden Exoplanet From Transit Timing Variations
by: Chen, Chen, et al.
Published: (2024)

Hunting for "Oddballs" with Machine Learning: Detecting Anomalous Exoplanets Using a Deep-Learned Low-Dimensional Representation of Transit Spectra with Autoencoders
by: Roman, Alexander, et al.
Published: (2026)

Asteroid shape inversion with light curves using deep learning
by: Tang, YiJun, et al.
Published: (2025)

Earth-like planet predictor: A machine learning approach
by: Davoult, Jeanne, et al.
Published: (2025)

Improving the discovery of near-Earth objects with machine-learning methods
by: Vereš, Peter, et al.
Published: (2025)

NeuralCMS: A deep learning approach to study Jupiter's interior
by: Ziv, Maayan, et al.
Published: (2024)

Breccia and basalt classification of thin sections of Apollo rocks with deep learning
by: Thoresen, Freja, et al.
Published: (2024)

Aurora Hunter: A Two-Stage Framework for Probabilistic Visibility Forecasting
by: Ge, Zongyuan, et al.
Published: (2026)

FlopPITy: Enabling self-consistent exoplanet atmospheric retrievals with machine learning
by: Martínez, Francisco Ardévol, et al.
Published: (2024)

Characterizing Jupiter's interior using machine learning reveals four key structures
by: Ziv, Maayan, et al.
Published: (2024)

Improving Earth-like planet detection in radial velocity using deep learning
by: Zhao, Yinan, et al.
Published: (2024)

The GPU Phase Folding and Deep Learning Method for Detecting Exoplanet Transits
by: Wang, Kaitlyn, et al.
Published: (2023)

DART-Vetter: A Deep LeARning Tool for automatic triage of exoplanet candidates
by: Fiscale, Stefano, et al.
Published: (2025)

DBNets: A publicly available deep learning tool to measure the masses of young planets in dusty protoplanetary discs
by: Ruzza, Alessandro, et al.
Published: (2024)

Deep operator neural network applied to efficient computation of asteroid surface temperature and the Yarkovsky effect
by: Zhao, Shunjing, et al.
Published: (2024)

ThermoONet -- a deep learning-based small body thermophysical network: applications to modelling water activity of comets
by: Zhao, Shunjing, et al.
Published: (2025)

Panopticon: a novel deep learning model to detect single transit events with no prior data filtering in PLATO light curves
by: Vivien, H. G., et al.
Published: (2024)

You Only Stack Once (YOSO): A Motion-Filtered, Deep-Learning Framework for Detecting Faint Moving Sources
by: Pandey, Nitya, et al.
Published: (2026)

Beyond Spherical geometry: Unraveling complex features of objects orbiting around stars from its transit light curve using deep learning
by: Bhowmick, Ushasi, et al.
Published: (2025)

ExoNet: Calibrated Multimodal Deep Learning for TESS Exoplanet Candidate Vetting using Phase-Folded Light Curves, Stellar Parameters, and Multi-Head Attention
by: Islam, Md. Rashadul
Published: (2026)

Mapping "Brain Terrain" Regions on Mars using Deep Learning
by: Pearson, Kyle A., et al.
Published: (2023)

Advanced Modeling for Exoplanet Detection and Characterization
by: Chamarthy, Krishna
Published: (2025)

Diurnal Variations of Lee Wave Clouds on Mars using Emirates eXploration Imager (EXI)
by: Alshamsi, Mariam R., et al.
Published: (2025)

Earth Science Foundation Models: From Perception to Reasoning and Discovery
by: Zhao, Xiangyu, et al.
Published: (2026)

MasconCube: Fast and Accurate Gravity Modeling with an Explicit Representation
by: Fanti, Pietro, et al.
Published: (2025)

Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models
by: Wolniewicz, Linnea M., et al.
Published: (2025)

Accelerating Radiative Transfer for Planetary Atmospheres by Orders of Magnitude with a Transformer-Based Machine Learning Model
by: Malsky, Isaac, et al.
Published: (2025)

Sequencing Silicates in the IRS Debris Disk Catalog I: Methodology for Unsupervised Clustering
by: Lu, Cicero X., et al.
Published: (2025)

TelescopeML -- I. An End-to-End Python Package for Interpreting Telescope Datasets through Training Machine Learning Models, Generating Statistical Reports, and Visualizing Results
by: Ehsan, et al.
Published: (2024)

The Clear Sky Corridor: Insights Towards Aerosol Formation in Exoplanets Using An AI-based Survey of Exoplanet Atmospheres
by: Ashtari, Reza, et al.
Published: (2024)

Focal plane wavefront control with model-based reinforcement learning
by: Nousiainen, Jalo, et al.
Published: (2026)

Making the unmodulated pyramid wavefront sensor smart II. First on-sky demonstration of extreme adaptive optics with deep learning
by: Landman, R., et al.
Published: (2025)

A Cloud-Based Tool for Meteorite Recovery Using Drones and Machine Learning
by: Anderson, Seamus L., et al.
Published: (2026)

Profiling Near-Surface Winds on Mars Using Attitude Data from Mars 2020 Ingenuity
by: Jackson, Brian, et al.
Published: (2024)

Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
by: Hesar, Fatemeh Fazel, et al.
Published: (2026)

Understanding Exoplanet Habitability: A Bayesian ML Framework for Predicting Atmospheric Absorption Spectra
by: Trehan, Vasuda, et al.
Published: (2025)