Image de couverture de livre

SpectraFM: Tuning into Stellar Foundation Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Koblischke, Nolan, Bovy, Jo
Format:	Preprint
Publié:	2024
Sujets:	Instrumentation and Methods for Astrophysics Astrophysics of Galaxies Solar and Stellar Astrophysics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Small amplitude red giants elucidate the nature of the Tip of the Red Giant Branch as a standard candle
par: Anderson, Richard I., et autres
Publié: (2023)

Filter Design for Estimation of Stellar Metallicity: Insights from Experiments with Gaia XP Spectra
par: Xiao, Kai, et autres
Publié: (2024)

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

Finetuning Stellar Spectra Foundation Models with LoRA
par: Zhao, Xiaosheng, et autres
Publié: (2025)

Predicting Stellar Metallicity: A Comparative Analysis of Regression Models for Solar Twin Stars
par: Narkedimilli, Sathwik, et autres
Publié: (2024)

Machine Learning in Stellar Astronomy: Progress up to 2024
par: Li, Guangping, et autres
Publié: (2025)

Towards the IR Detection of Carbonic Acid: Absorption and Emission Spectra
par: Fortenberry, Ryan C., et autres
Publié: (2024)

Selecting Optimal Stellar Calibration Fields for the CSST Imaging Survey
par: Ling, Chenxiaoji, et autres
Publié: (2026)

Stellar separation shapes spin-orbit alignment in visual binaries
par: Poon, Michael, et autres
Publié: (2026)

Deriving Stellar Properties, Distances, and Reddenings using Photometry and Astrometry with BRUTUS
par: Speagle, Joshua S., et autres
Publié: (2025)

PhotoD with LSST: Stellar Photometric Distances Out to the Edge of the Galaxy
par: Palaversa, Lovro, et autres
Publié: (2025)

Graph Neural Network Prediction of Infrared Spectra of Interstellar Polycyclic Aromatic Hydrocarbons
par: Tang, Guoqing, et autres
Publié: (2026)

Millions of Main-Sequence Binary Stars from Gaia BP/RP Spectra
par: Li, Jiadong, et autres
Publié: (2025)

Testing and Combining Transient Spectral Classification Tools on 4MOST-like Blended Spectra
par: Milligan, Andrew, et autres
Publié: (2025)

Stellar characterization with photometric colors from J-PLUS and 2MASS surveys
par: Aguilar, J. F., et autres
Publié: (2026)

Illuminating Youth: Decades of Mid-Infrared Variability and Color Evolution of Young Stellar Objects
par: S., Neha, et autres
Publié: (2025)

StarFlow: Leveraging Normalizing Flows for Stellar Age Estimation in SDSS-V DR19
par: Stone-Martinez, Alexander, et autres
Publié: (2025)

The Importance of Standardizing Spectra in the Era of Large Spectroscopic Surveys: A Case Study of M Dwarfs in SDSS-V
par: Medan, Ilija, et autres
Publié: (2025)

Unlocking the dynamics of Young Stellar Objects: Time-Domain Interferometry with six 4-m class telescopes
par: Soulain, A., et autres
Publié: (2026)

Stellar Parameters for over Fifty Million stars from SMSS DR4 and Gaia DR3
par: Huang, Yang, et autres
Publié: (2025)

A Binary-Based Reassessment of the Age and Stellar Properties of NGC 7789 Using Twelve Binary Components
par: Yakut, Kadri, et autres
Publié: (2026)

A Bayesian Approach to Inferring Accretion Signatures in Young Stellar Objects: A Case Study with VIRUS
par: Willett, Lauren Halstead, et autres
Publié: (2025)

pyKurucz: A Pure Python Reimplementation of Kurucz ATLAS12 and SYNTHE for Stellar Spectrum Synthesis
par: Kim, Elliot M., et autres
Publié: (2026)

Stellar atmospheric parameters and chemical abundances of about 5 million stars from S-PLUS multi-band photometry
par: Lopes, C. E. Ferreira, et autres
Publié: (2024)

200,000+ Deep Learning-inferred Periods of Stellar Variability from the All-Sky Automated Survey for Supernovae
par: Schochet, Meir E., et autres
Publié: (2025)

Closing the stellar labels gap: Stellar label independent evidence for [$α/M$] information in Gaia BP/RP spectra
par: Laroche, Alexander, et autres
Publié: (2024)

The JWST Resolved Stellar Populations Early Release Science Program VII. Stress Testing the NIRCam Exposure Time Calculator
par: Savino, A., et autres
Publié: (2024)

Estimating Stellar Atmospheric Parameters and [α/Fe] for LAMOST O-M type Stars Using a Spectral Emulator
par: Liang, Jun-chao, et autres
Publié: (2024)

The Stellar Abundances and Galactic Evolution Survey (SAGES). IV. Surface Gravity Estimation and Giant-Dwarf Separation with the DDO51 Filter
par: Zhang, Qiqian, et autres
Publié: (2025)

A homogeneous three-dimensional view of Molecular Cloud kinematics out to 2.5 kpc. Using Young Stellar Objects and Open Clusters as complementary tracers
par: Pérez-Couto, Xabier, et autres
Publié: (2026)

Learning the Stellar Structure Equations via Self-supervised Physics-Informed Neural Networks
par: Ballester, Manuel, et autres
Publié: (2026)

FORECASTOR -- I. Finding Optics Requirements and Exposure times for the Cosmological Advanced Survey Telescope for Optical and UV Research mission
par: Cheng, Isaac, et autres
Publié: (2024)

Photometric Completeness Modelled With Neural Networks
par: Harris, William E., et autres
Publié: (2024)

Using Neural Network Models to Estimate Stellar Ages from Lithium Equivalent Widths: An EAGLES Expansion
par: Weaver, George, et autres
Publié: (2024)

Gravitational Anomaly Measurement in Wide Binaries is Sensitive to Orbital Modeling
par: Saad, Serat M., et autres
Publié: (2026)

A Generalist Model Including Evolved Star Mass and Age
par: Zhang, Mengmeng, et autres
Publié: (2026)

Model Choice Matters for Age Inference on the Red Giant Branch
par: Morales, Leslie M., et autres
Publié: (2025)

Differentiable Stellar Atmospheres with Physics-Informed Neural Networks
par: Li, Jiadong, et autres
Publié: (2025)

BROWDIE: a New Machine Learning Model for Searching T&Y Dwarfs Using the UKIDSS J, H, K Band Survey
par: Kang, Gwujun, et autres
Publié: (2024)

First Calculations of Starspot Spectra based on 3D Radiative Magnetohydrodynamics Simulations
par: Smitha, H. N., et autres
Publié: (2024)