Copertina

Exploring symbolic regression and genetic algorithms for astronomical object classification

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Llorella, Fabio R., Cebrián, José A.
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Astrophysics of Galaxies Instrumentation and Methods for Astrophysics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Comparison of symbolic regression algorithms in Star/galaxy/quasar separation
di: Deshpande, Rachit, et al.
Pubblicazione: (2026)

A data-driven approach for star formation parameterization using symbolic regression
di: Salim, Diane M., et al.
Pubblicazione: (2025)

AstroInspect: a web-based system to organize, assess, and visually inspect astronomical objects
di: Cardoso, Natanael M., et al.
Pubblicazione: (2026)

A geometric approach to estimate background in astronomical images
di: Pandey, Pushpak, et al.
Pubblicazione: (2024)

FRELLED Reloaded: Multiple techniques for astronomical data visualisation in Blender
di: Taylor, Rhys
Pubblicazione: (2025)

A robust and simple method for filling in masked data in astronomical images
di: van Dokkum, Pieter, et al.
Pubblicazione: (2023)

Rotation and flipping invariant self-organizing maps with astronomical images: A cookbook and application to the VLA Sky Survey QuickLook images
di: Vantyghem, A. N., et al.
Pubblicazione: (2024)

Constraining dark matter halo profiles with symbolic regression
di: Martín, Alicia, et al.
Pubblicazione: (2025)

Identifying type II quasars at intermediate redshift with few-shot learning photometric classification
di: Cunha, P. A. C., et al.
Pubblicazione: (2024)

J-PLUS: Bayesian object classification with a strum of BANNJOS
di: del Pino, A., et al.
Pubblicazione: (2024)

Performance analysis of extragalactic classifications in Gaia Data Release 4
di: Jamal, Sara, et al.
Pubblicazione: (2026)

Improved source classification and performance analysis using Gaia DR3
di: Jamal, Sara, et al.
Pubblicazione: (2024)

A systematic evaluation of vision-language models for observational astronomical reasoning tasks
di: Ren, Wenke, et al.
Pubblicazione: (2026)

Skykatana: a scalable framework to construct sky masks for the Vera Rubin Observatory and large astronomical surveys
di: Lopez, Claudio, et al.
Pubblicazione: (2025)

Exploring the spatially-resolved capabilities of the J-PAS survey with Py2DJPAS
di: Rodríguez-Martín, J. E., et al.
Pubblicazione: (2025)

A novel algorithm for GPU-accelerated particle-mesh interactions implemented in the QUOKKA code
di: He, Chong-Chong, et al.
Pubblicazione: (2025)

Spectral classification
di: Apellániz, J. Maíz, et al.
Pubblicazione: (2024)

Unifying the dynamical classification of early-type galaxies: kinematic deficits in IllustrisTNG versus observations
di: Zhong, Wenyu, et al.
Pubblicazione: (2026)

iDaVIE v1.0: A virtual reality tool for interactive analysis of astronomical data cubes
di: Sivitilli, Alexander, et al.
Pubblicazione: (2026)

Radio Galaxy Zoo: Morphological classification by Fanaroff-Riley designation using self-supervised pre-training
di: Buatthaisong, Nutthawara, et al.
Pubblicazione: (2025)

Exploring the ex-situ components within Gaia DR3
di: Li, Zhuohan, et al.
Pubblicazione: (2023)

Selection of optically variable active galactic nuclei via a random forest algorithm
di: De Cicco, Demetra, et al.
Pubblicazione: (2025)

Galaxy Zoo: Cosmic Dawn -- morphological classifications for over 41,000 galaxies in the Euclid Deep Field North from the Hawaii Two-0 Cosmic Dawn survey
di: Pearson, James, et al.
Pubblicazione: (2025)

A Simulated Galaxy Laboratory: Exploring the Observational Effects on UV Spectral Absorption Line Measurements
di: Jennings, R. Michael, et al.
Pubblicazione: (2024)

Disentangling stellar atmospheric parameters in astronomical spectra using Generative Adversarial Neural Networks
di: Manteiga, Minia, et al.
Pubblicazione: (2025)

Deeper detection limits in astronomical imaging using self-supervised spatiotemporal denoising
di: Guo, Yuduo, et al.
Pubblicazione: (2026)

Exploring Magnetic Fields in Molecular Clouds through Denoising Diffusion Probabilistic Models
di: Xu, Duo, et al.
Pubblicazione: (2024)

Exploring magnetised galactic outflows in starburst dwarf galaxies NGC 3125 and IC 4662
di: Taziaux, Sam, et al.
Pubblicazione: (2025)

Exploring mass measurements of supermassive black holes in AGN using GAMA photometry and spectroscopy
di: Casura, Sarah, et al.
Pubblicazione: (2024)

A fast machine learning tool to predict the composition of astronomical ices from infrared absorption spectra
di: Megías, Andrés, et al.
Pubblicazione: (2025)

NutMaat: A Python package for stellar spectral classification on the MK system
di: El-Kholy, R. I., et al.
Pubblicazione: (2025)

A MeerKAT Polarization Survey of Southern Calibration Sources
di: Taylor, A. R., et al.
Pubblicazione: (2024)

Inferring the star-formation histories of massive quiescent galaxies with BAGPIPES: Evidence for multiple quenching mechanisms
di: Carnall, A. C., et al.
Pubblicazione: (2017)

Modeling turbulent and self-gravitating fluids with Fourier neural operators
di: Poletti, Keith, et al.
Pubblicazione: (2025)

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

Comparison of Different Methods to Determine the Distance to LMC
di: Medina, Juan José Sánchez
Pubblicazione: (2025)

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
di: Thainá-Batista, J., et al.
Pubblicazione: (2026)

Deep Learning Improves Photometric Redshifts in All Regions of Color Space
di: Moran, Emma R., et al.
Pubblicazione: (2025)

Scalable and robust wide-field facet calibration with LOFAR's longest baselines
di: de Jong, J. M. G. H. J., et al.
Pubblicazione: (2025)

Wide Area VISTA Extragalactic Survey (WAVES): Selection of targets for the Wide survey using decision-tree classification
di: Kaur, G., et al.
Pubblicazione: (2025)