Physical Parameters of Stars in NGC 6397 Using ANN-Based Interpolation and Full Spectrum Fitting
arXiv:2504.09278 · doi:10.1016/j.newast.2025.102416
Abstract
Stellar spectral interpolation is critical technique employed by fitting software to derive the physical parameters of stars. This approach is necessary because on-the-go generation of synthetic stellar spectra is not possible due to the complex and high cost of computation. The goal of this study is to develop a spectral interpolator for a synthetic spectral library using artificial neural networks (ANNs). The study aims to test the accuracy of the trained interpolator through self-inversion and, subsequently, to utilize the interpolator to derive the physical parameters of stars in the globular cluster NGC 6397 using spectra obtained from the Multi Unit Spectroscopic Explorer (MUSE) on the Very Large Telescope (VLT). In this study, ANNs were trained to function as spectral interpolators. The ULySS full-spectrum fitting package, integrated with the trained interpolators, was then used to extract the physical parameters of 1587 spectra of 1063 stars in NGC 6397. The trained ANN interpolator achieved precise determination of stellar parameters with a mean difference of 31 K for and 0.01 dex for [Fe/H] compared to previous studies. This study demonstrates the efficacy of ANN-based spectral interpolation in stellar parameter determination, offering faster and more accurate analysis.
Accepted for Publication in Journal New Astronomy
References in corpus (56)
- Adam: A Method for Stochastic Optimization
- Galactic Stellar and Substellar Initial Mass Function
- An overview of gradient descent optimization algorithms
- Starburst99: Synthesis Models for Galaxies with Active Star Formation
- A grid of MARCS model atmospheres for late-type stars I. Methods and general properties
- A new extensive library of PHOENIX stellar atmospheres and synthetic spectra
- The Apache Point Observatory Galactic Evolution Experiment (APOGEE)
- MILES: A Medium resolution INT Library of Empirical Spectra
- Modeling the Panchromatic Spectral Energy Distributions of Galaxies
- The MUSE second-generation VLT instrument
- A standard stellar library for evolutionary synthesis: I. Calibration of theoretical spectra
- Na-O Anticorrelation and HB. VIII. Proton-capture elements and metallicities in 17 globular clusters from UVES spectra
- The Indo-U.S. Library of Coude Feed Stellar Spectra
- A standard stellar library for evolutionary synthesis: II. The M dwarf extension
- The O-Na and Mg-Al Anticorrelations in Turn-Off and early Subgiants in Globular Clusters
- Properties of stellar generations in Globular Clusters and relations with global parameters
- A database of high and medium-resolution stellar spectra
- The NextGen Model Atmosphere grid: II. Spherically symmetric model atmospheres for giant stars with effective temperatures between 3000 and 6800~K
- ULySS: A Full Spectrum Fitting Package
- The Cannon: A data-driven approach to stellar label determination
- Accurate distances to Galactic globular clusters through a combination of Gaia EDR3, HST and literature data
- The Data Processing Pipeline for the MUSE Instrument
- An extensive library of 2500-10500 Ang synthetic spectra
- A standard stellar library for evolutionary synthesis. III. Metallicity calibration
- The Payne: self-consistent ab initio fitting of stellar spectra
- Atomic Diffusion and Mixing in Old Stars I. VLT/FLAMES-UVES Observations of Stars in NGC 6397
- Coude-feed stellar spectral library - atmospheric parameters
- A new library of theoretical stellar spectra with scaled-solar and alpha-enhanced mixtures
- The atmospheric parameters and spectral interpolator for the stars of MILES
- Resolving stellar populations with crowded field 3D spectroscopy
- Galaxy Types in the Sloan Digital Sky Survey Using Supervised Artificial Neural Networks
- Metallicity of M dwarfs III. Planet-metallicity and planet-stellar mass correlations of the HARPS GTO M dwarf sample
- Automated Classification of Stellar Spectra. II: Two-Dimensional Classification with Neural Networks and Principal Components Analysis
- MUSE crowded field 3D spectroscopy of over 12,000 stars in the globular cluster NGC 6397 - I. The first comprehensive spectroscopic HRD of a globular cluster
- The Stellar Populations of Stripped Spiral Galaxies in the Virgo Cluster
- Application of Convolutional Neural Networks for Stellar Spectral Classification
- A collection of model stellar spectra for spectral types B to early-M
- Using the Galactic Dynamics of M7 Dwarfs to Infer the Evolution of Their Magnetic Activity
- Atomic Diffusion and Mixing in Old Stars. III. Analysis of NGC 6397 Stars under New Constraints
- Stellar atmospheric parameters for 754 spectra from the X-shooter Spectral Library
- New atmospheric parameters and spectral interpolator for the MILES cool stars
- Detection of Bars in Galaxies using a Deep Convolutional Neural Network
- Effective Image Differencing with ConvNets for Real-time Transient Hunting
- New release of the ELODIE library: Version 3.1
- A Machine Learning Method to Infer Fundamental Stellar Parameters from Photometric Light Curves
- Lithium spectral line formation in stellar atmospheres. The impact of convection and NLTE effects
- The Age of the Old Metal-Poor Globular Cluster NGC6397 Using WFC3/IR Photometry
- On the Interpolation of Model Atmospheres and High-Resolution Synthetic Stellar Spectra
- Machine Learning on Difference Image Analysis: A comparison of methods for transient detection
- On the estimation of stellar parameters with uncertainty prediction from Generative Artificial Neural Networks: application to Gaia RVS simulated spectra
- An Active Instance-based Machine Learning method for Stellar Population Studies
- Stellar Spectral Interpolation using Machine Learning
- NGC 6397: The metallicity trend along the isochrone revisited
- Multi-wavelength Photometric Study of RR Lyrae Variables in the Globular Cluster NGC 5272 (Messier 3)
- Predicting light curves of RR Lyrae variables using artificial neural network based interpolation of a grid of pulsation models
- Prospects of measuring a metallicity trend and spread in globular clusters from low-resolution spectroscopy