Exploring galactic properties with machine learning Predicting star formation, stellar mass, and metallicity from photometric data

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zeraatgari, F. Z., Hafezianzadeh, F., Zhang, Y. -X., Mosallanezhad, A., Zhang, J. -Y.
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Astrophysics of Galaxies
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

The stellar Fundamental Metallicity Relation: the correlation between stellar mass, star-formation rate and stellar metallicity
di: Looser, Tobias J., et al.
Pubblicazione: (2024)

A machine-learning photometric classifier for massive stars in nearby galaxies II. The catalog
di: Maravelias, G., et al.
Pubblicazione: (2025)

A distance measurement of galaxies from JWST using star formation rate-stellar mass relation
di: Huang, L., et al.
Pubblicazione: (2024)

The effect of the environment-dependent stellar initial mass function on the photometric properties of star-forming galaxies
di: Haslbauer, Moritz, et al.
Pubblicazione: (2024)

Robust machine learning model of inferring the ex-situ stellar fraction of galaxies from photometric data
di: Cai, Runsheng, et al.
Pubblicazione: (2025)

Machine-learning inference of stellar properties using integrated photometric and spectroscopic data
di: Kamai, Ilay, et al.
Pubblicazione: (2025)

The NIRVANDELS Survey: the stellar and gas-phase mass-metallicity relations of star-forming galaxies at z = 3.5
di: Stanton, T. M., et al.
Pubblicazione: (2024)

Multi-Layer Perceptron for Predicting Galaxy Parameters (MLP-GaP): stellar masses and star formation rates
di: Guo, Xiaotong, et al.
Pubblicazione: (2024)

Environmental history of filament galaxies: stellar mass assembly and star-formation of filament galaxies
di: Zakharova, D., et al.
Pubblicazione: (2025)

Estimating the mass of galactic components using machine learning algorithms
di: Sanchez, Jessica N. Lopez, et al.
Pubblicazione: (2024)

Probing supermassive black hole growth and its dependence on stellar mass and star-formation rate in low-redshift galaxies
di: Torbaniuk, O., et al.
Pubblicazione: (2023)

From atoms to stars: Modelling $\mathrm{H}_2$ formation and its impact on galactic evolution
di: Lozano, E., et al.
Pubblicazione: (2025)

COSMOS-Web: A history of galaxy migrations over the stellar mass-star formation rate plane
di: Arango-Toro, R. C., et al.
Pubblicazione: (2024)

Galaxy And Mass Assembly (GAMA): Deconstructing the galaxy stellar mass function by star formation and environment
di: Sbaffoni, A., et al.
Pubblicazione: (2025)

Intense star cluster formation: stellar masses, the mass function, and the fundamental mass scale
di: Matzner, Christopher D.
Pubblicazione: (2024)

The incidence and star-formation properties of X-ray active galactic nuclei across the star-forming main sequence in DESI-eRASS1: the role of host-galaxy morphology
di: Mountrichas, G., et al.
Pubblicazione: (2026)

Galaxy stellar and total mass estimation using machine learning
di: Chu, Jiani, et al.
Pubblicazione: (2023)

Inferring stellar metallicity and elemental abundances from kinematic and spectroscopic data using machine learning -- Implications for exoplanet host stars
di: Adibekyan, V., et al.
Pubblicazione: (2026)

Predicting intermediate-mass black hole formation in star clusters with machine learning
di: Kritos, Konstantinos, et al.
Pubblicazione: (2026)

Chemical complexity in star formation induced by stellar feedback: cores shock-formed by the supernova remnant W44
di: Cosentino, G., et al.
Pubblicazione: (2025)

Isolated and group environment dependence of stellar mass and different star formation rates
di: Privatus, Pius, et al.
Pubblicazione: (2024)

NGC1856: Using machine learning techniques to uncover detailed stellar abundances from MUSE data
di: Asa'd, Randa, et al.
Pubblicazione: (2024)

The Chemical Clock of High-mass Star-forming Regions: N2H+/CCS
di: Chen, J. L., et al.
Pubblicazione: (2025)

Data-driven stellar intrinsic colors and dust reddenings for spectro-photometric data: From the blue-edge method to a machine-learning approach
di: Zhao, He, et al.
Pubblicazione: (2024)

Capturing star formation activity from compressed photometric images of galaxies
di: Oh, Kyuseok, et al.
Pubblicazione: (2025)

Signatures of star formation inside galactic outflows
di: Ong, Dily Duan Yi, et al.
Pubblicazione: (2025)

ALMA-IMF XV: The core mass function in the high-mass star-formation regime
di: Louvet, F., et al.
Pubblicazione: (2024)

Asymmetries in stellar streams induced by a galactic merger
di: Guillaume, Claire, et al.
Pubblicazione: (2025)

The mass distribution of stars stripped in binaries: The effect of metallicity
di: Hovis-Afflerbach, B., et al.
Pubblicazione: (2024)

The Survey of Surveys: machine learning for stellar parametrization
di: Turchi, A., et al.
Pubblicazione: (2024)

photoD with Rubin's Data Preview 1: first stellar photometric distances and deficit of faint blue stars. Stellar distances with Rubin's DP1
di: Palaversa, L., et al.
Pubblicazione: (2025)

The competing effects of recent and long-term star formation histories on oxygen, nitrogen, and stellar metallicities
di: Boardman, Nicholas Fraser, et al.
Pubblicazione: (2025)

ASW$^2$DF: Census of the obscured star formation in a galaxy cluster in formation at $z=2.2$
di: Zhang, Y. H., et al.
Pubblicazione: (2024)

High N/O ratio at high redshift as a result of a strong burst of star formation and differential galactic winds
di: Rizzuti, F., et al.
Pubblicazione: (2024)

JWST reveals extended stellar disks for ALMA-bright dusty star-forming galaxies in the Spiderweb protocluster
di: Zhang, Y. H., et al.
Pubblicazione: (2025)

Using machine learning to investigate the populations of dusty evolved stars in various metallicities
di: Maravelias, Grigoris, et al.
Pubblicazione: (2022)

Testing galaxy formation models with the stellar mass-halo mass relations for star-forming and quiescent galaxies
di: Wang, Kai, et al.
Pubblicazione: (2024)

Virtual Observatory and machine learning for the study of low-mass objects in photometric and spectroscopic surveys
di: Mas-Buitrago, Pedro
Pubblicazione: (2025)

Large-scale environments of star-forming active galactic nuclei: How black hole mass, accretion rate, and luminosity connect to dark matter halos
di: Mountrichas, G., et al.
Pubblicazione: (2026)

The OTELO survey: New evidence of downsizing from the specific star formation rates, stellar mass functions, and star formation histories of a sample of low-mass galaxies at 0.38<z<1.43
di: Cedrés, Bernabé, et al.
Pubblicazione: (2025)