The Revisited BPT Diagram from the Self-Consistent Analysis

IF 0.6 4区 物理与天体物理 Q4 ASTRONOMY & ASTROPHYSICS Astrophysics Pub Date : 2023-09-29 DOI:10.1007/s10511-023-09793-z
P. Privatus, C. Pappalardo, P. V. K. Rao, D. T. Mazengo
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Abstract

Galaxies' spectral energy distribution has been explored through the use of spectral synthesis codes, and these techniques have been essential in identifying many aspects of the current galaxy evolution model. Most of the spectral synthesis codes that have been developed so far are solely stellar and assume a negligible nebular contribution to the overall continuum. FADO (Fitting Analysis using Differential Evolution Optimisation) is the first spectral synthesis code to fit self-consistently stellar and nebular components. Diagnostic diagrams are powerful tools for classifying galaxies based on the emission line ratio of collisionally excited lines such as [OIII] λ 5007, [NII] λ 6584, [SII] λ 6716, 6731, [OI] λ 6300, and the Balmer recombination lines such as Hα, Hβ. This paper explores the impact of including nebular components on diagnostic diagrams. We investigated the results of the application of FADO to the Sloan Digital Sky Survey Data Release 8 using the data analysed by MPA-JHU, the Max Planck Institute for Astrophysics, and Johns Hopkins University. We found that in all diagnostic diagrams, the fluxes for FADO are higher than those for MPA-JHU; the difference is significant compared to the error in the flux measurement. FADO overestimates the flux ratio of all three diagnostic diagrams over MPA-JHU, but the overestimation is comparable with the line flux ratio errors. The results indicate that the inclusion of a nebular continuum is very important when fitting the spectral energy distribution as it increases the fluxes of all galaxies. However, there is a mild impact from the inclusion of nebular component analysis in the diagnostic diagrams used to classify the ionisation state of galaxies’ interstellar medium.

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自洽分析对BPT图的修正
星系的光谱能量分布已经通过使用光谱合成代码进行了探索,这些技术在识别当前星系演化模型的许多方面都至关重要。到目前为止,大多数已经开发的光谱合成代码都只是恒星的,并且假设星云对整个连续体的贡献可以忽略不计。FADO(使用差分进化优化的拟合分析)是第一个拟合自洽恒星和星云成分的光谱合成代码。诊断图是根据碰撞激发线(如[OII]λ5007、[NII]λ6584、[SII]λ6716、6731、[OI]λ6300)和Balmer重组线(如Hα、Hβ)的发射线比率对星系进行分类的有力工具。本文探讨了包含星云组件对诊断图的影响。我们使用MPA-JHU、马克斯·普朗克天体物理研究所和约翰斯·霍普金斯大学分析的数据,研究了FADO在斯隆数字巡天数据发布8中的应用结果。我们发现,在所有诊断图中,FADO的通量高于MPA-JHU的通量;与通量测量中的误差相比,该差异是显著的。与MPA-JHU相比,FADO高估了所有三个诊断图的通量比,但高估值与线路通量比误差相当。结果表明,在拟合光谱能量分布时,包含星云连续体是非常重要的,因为它增加了所有星系的通量。然而,在用于分类星系星际介质电离状态的诊断图中加入星云成分分析会产生轻微影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Astrophysics
Astrophysics 地学天文-天文与天体物理
CiteScore
0.90
自引率
20.00%
发文量
32
审稿时长
6-12 weeks
期刊介绍: Astrophysics (Ap) is a peer-reviewed scientific journal which publishes research in theoretical and observational astrophysics. Founded by V.A.Ambartsumian in 1965 Astrophysics is one of the international astronomy journals. The journal covers space astrophysics, stellar and galactic evolution, solar physics, stellar and planetary atmospheres, interstellar matter. Additional subjects include chemical composition and internal structure of stars, quasars and pulsars, developments in modern cosmology and radiative transfer.
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