Image de couverture de livre

Identification of molecular line emission using Convolutional Neural Networks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Kessler, Nina, Csengeri, Timea, Cornu, David, Bontemps, Sylvain, Bouscasse, Laure
Format:	Preprint
Publié:	2025
Sujets:	Instrumentation and Methods for Astrophysics Astrophysics of Galaxies
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Complex organic molecules uncover deeply embedded precursors of hot cores
par: Bouscasse, Laure, et autres
Publié: (2024)

Enhancing Lyα Emitter Identification in HETDEX with a Convolutional Neural Network
par: Mukae, Shiro, et autres
Publié: (2026)

The HyLight model for hydrogen emission lines in simulated nebulae
par: Liu, Yuankang, et autres
Publié: (2025)

Estimating the dense gas mass of molecular clouds using spatially unresolved 3 mm line observations
par: Zakardjian, Antoine, et autres
Publié: (2025)

Assessing Galaxy Rotation Kinematics: Insights from Convolutional Neural Networks on Velocity Variations
par: Chegeni, Amirmohammad, et autres
Publié: (2025)

J-PLUS: Spectroscopic validation of H$α$ emission line maps in spatially resolved galaxies
par: Rahna, P. T., et autres
Publié: (2025)

Photometric redshift estimation for emission line galaxies of DESI Legacy Imaging Surveys by CNN-MLP
par: Wei, Shirui, et autres
Publié: (2025)

Classifying spectra of emission-line regions with neural networks -- An application to integral field spectroscopic data of M33
par: Bracci, Caterina, et autres
Publié: (2025)

YOLO-CIANNA: Galaxy detection with deep learning in radio data: II. Winning the SKA SDC2 using a generalized 3D-YOLO network
par: Cornu, D., et autres
Publié: (2025)

Spatially resolved stellar populations and emission lines properties in nearby galaxies with J-PLUS -- I. Method and first results for the M101 group
par: Thainá-Batista, J., et autres
Publié: (2025)

Predicting High-magnification Events in Microlensed Quasars in the Era of LSST using Recurrent Neural Networks
par: Fagin, Joshua, et autres
Publié: (2024)

SDSS-IV MaNGA: Calibration of astrophysical line-widths in the Hα region using HexPak observations
par: Chattopadhyay, Sabyasachi, et autres
Publié: (2024)

Analysis of spatially resolved stellar populations and emission line properties in nearby galaxies with J-PLUS data. II-Results for the M51 group and first comparison with the M101 group
par: Thainá-Batista, J., et autres
Publié: (2026)

YOLO-CIANNA: Galaxy detection with deep learning in radio data. I. A new YOLO-inspired source detection method applied to the SKAO SDC1
par: Cornu, D., et autres
Publié: (2024)

Forbidden lines are not quenched
par: Spyromilio, Jason
Publié: (2024)

Galaxy Model Subtraction with a Convolutional Denoising Autoencoder
par: Liu, Rongrong, et autres
Publié: (2025)

Synergy between Roman and PRIMA imaging capabilities for large extragalactic surveys
par: Boquien, Médéric, et autres
Publié: (2025)

Measuring the Substructure Mass Power Spectrum of 23 SLACS Strong Galaxy-Galaxy Lenses with Convolutional Neural Networks
par: Fagin, Joshua, et autres
Publié: (2024)

Photometric Redshift Estimation for CSST Survey with LSTM Neural Networks
par: Luo, Zhijian, et autres
Publié: (2024)

Modelling the nebular emission of galaxies across cosmic time with COLT
par: McClymont, William, et autres
Publié: (2025)

Testing the Physical Parameter Constraining Power of HCN and HNC with Neural Networks
par: Behrens, Erica, et autres
Publié: (2026)

J-PAS: A Neural Network Approach to Single Stellar Population Characterization
par: Sánchez, H. Domínguez, et autres
Publié: (2025)

Point Spread Function Deconvolution Using a Convolutional Autoencoder for Astronomical Applications
par: Sreejith, Sreevarsha, et autres
Publié: (2023)

MIGHTEE-HI: deep spectral line observations of the COSMOS field
par: Heywood, I., et autres
Publié: (2024)

Euclid: Early Release Observations -- Programme overview and pipeline for compact- and diffuse-emission photometry
par: Cuillandre, J. -C., et autres
Publié: (2024)

A scalable Bayesian framework for galaxy emission line detection and redshift estimation
par: Kuhn, Alexander, et autres
Publié: (2026)

Bayesian and Convolutional Networks for Hierarchical Morphological Classification of Galaxies
par: Serrano-Pérez, Jonathan, et autres
Publié: (2024)

Identification of multi-component LOFAR sources with multi-modal deep learning
par: Alegre, Lara, et autres
Publié: (2024)

The Cluster Completeness Correction Calculator (C-4): A Neural-Network framework and pilot application to the LEGUS Survey of NGC 628
par: Tang, Jianling, et autres
Publié: (2026)

Fast spectral line calculations with the escape probability method and tests with synthetic observations of interstellar clouds
par: Juvela, Mika
Publié: (2025)

FNet II: Spectral Classification of Quasars, Galaxies, Stars, and broad absorption line (BAL) Quasars
par: Moradi, R., et autres
Publié: (2024)

ALMA and JWST Identification of Faint Dusty Star-Forming Galaxies up to z~8
par: Zavala, Jorge A., et autres
Publié: (2025)

Photometric Super-Resolution for Improving Galaxy Morphological Measurements using Conditional Generative Adversarial Networks
par: Kahn, Samuel, et autres
Publié: (2026)

Reconstructing the mid-infrared spectra of galaxies using ultraviolet to submillimeter photometry and Deep Generative Networks
par: Rissaki, Agapi, et autres
Publié: (2024)

Fast and Accurate Stellar Mass Predictions from Broad-Band Magnitudes with a Simple Neural Network: Application to Simulated Star-Forming Galaxies
par: Elson, E.
Publié: (2025)

TRINITY: A coupled model of winds, radiation, and photoionised gas in molecular clouds. I. Methods and validation
par: Teh, Jia Wei, et autres
Publié: (2026)

Measuring the intracluster light fraction with machine learning
par: Canepa, Louisa, et autres
Publié: (2025)

Identification of 4876 Bent-Tail Radio Galaxies in the FIRST Survey Using Deep Learning Combined with Visual Inspection
par: Lao, Baoqiang, et autres
Publié: (2025)

Stellar Atmospheric Parameters From Gaia BP/RP Spectra using Uncertain Neural Networks
par: Fallows, Connor P., et autres
Publié: (2024)

Euclid Quick Data Release (Q1): Euclid spectroscopy of quasars. 1. Identification and redshift determination of 3500 bright quasars
par: Euclid Collaboration, et autres
Publié: (2025)