The Updated BaSTI Stellar Evolution Models and Isochrones - IV. Α-Depleted Calculations

Adriano Pietrinferni,Maurizio Salaris,Santi Cassisi,Alessandro Savino,Alessio Mucciarelli,David Hyder,Sebastian Hidalgo

MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY（2024）

INAF Osservatorio Astron Abruzzo | Univ Calif Berkeley | Alma Mater Studiorum Univ Bologna | Liverpool John Moores Univ | Inst Astrofis Canarias

Cited 1|Views9

Abstract

This is the fourth paper of our new release of the BaSTI (a Bag of Stellar Tracks and Isochrones) stellar model and isochrone library. Following the updated solar-scaled, alpha-enhanced, and white dwarf model libraries, we present here alpha-depleted ([alpha/Fe] = -0.2) evolutionary tracks and isochrones, suitable to study the alpha-depleted stars discovered in Local Group dwarf galaxies and in the Milky Way. These calculations include all improvements and updates of the solar-scaled and alpha-enhanced models, and span a mass range between 0.1 and 15 M-circle dot, and 21 metallicities between [Fe/H] = -3.20 and +0.45 with a helium-to-metal enrichment ratio Delta Y/Delta Z = 1.31, homogeneous with the solar-scaled and alpha-enhanced models. The isochrones - available in several photometric filters - cover an age range between similar to 20 Myr and 14.5 Gyr, including the pre-main-sequence phase. We have compared our isochrones with independent calculations of alpha-depleted stellar models, available for the same alpha-element depletion adopted in the present investigation. We have also discussed the effect of an alpha-depleted heavy element distribution on the bolometric corrections in different wavelength regimes. Our alpha-depleted evolutionary tracks and isochrones are publicly available at our BaSTI website.

Translated text

Key words

stars: evolution,stars: horizontal branch,Hertzsprung-Russell and colour-magnitude diagrams,stars: interiors

求助PDF

上传PDF

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Upload PDF to Generate Summary

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper