Reconstructing the mid-infrared spectra of galaxies using ultraviolet to submillimeter photometry and Deep Generative Networks

IF 1.9 4区 物理与天体物理 Q2 ASTRONOMY & ASTROPHYSICS
Agapi Rissaki , O. Pavlou , D. Fotakis , V. Papadopoulou Lesta , A. Efstathiou
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引用次数: 0

Abstract

The mid-infrared spectra of galaxies are rich in features such as the Polycyclic Aromatic Hydrocarbon (PAH) and silicate dust features which give valuable information about the physics of galaxies and their evolution. For example they can provide information about the relative contribution of star formation and accretion from a supermassive black hole to the power output of galaxies. However, the mid-infrared spectra are currently available for a very small fraction of galaxies that have been detected in deep multi-wavelength surveys of the sky. In this paper we explore whether Deep Generative Network methods can be used to reconstruct mid-infrared spectra in the 5–35μm range using the limited multi-wavelength photometry in 20 bands from the ultraviolet to the submillimeter which is typically available in extragalactic surveys. For this purpose we use simulated spectra computed with a combination of radiative transfer models for starbursts, active galactic nucleus (AGN) tori and host galaxies. We find that our method using Deep Generative Networks, namely Generative Adversarial Networks and Generative Latent Optimization models, can efficiently produce high quality reconstructions of mid-infrared spectra in 60% of the cases. We discuss how our method can be improved by using more training data, photometric bands, model parameters or by employing other generative networks.

利用紫外线至亚毫米光度测量和深度生成网络重构星系的中红外光谱
星系的中红外光谱具有丰富的特征,如多环芳香烃(PAH)和硅酸盐尘埃特征,这些特征提供了有关星系物理及其演化的宝贵信息。例如,它们可以提供有关恒星形成和超大质量黑洞吸积对星系能量输出的相对贡献的信息。然而,目前只有很少一部分星系的中红外光谱可以在天空的深层多波长巡天中探测到。在本文中,我们将探讨是否可以使用深度生成网络方法来重建 5-35μm 波段的中红外光谱。为此,我们使用星爆、活动星系核(AGN)环和宿主星系的辐射传递模型组合计算出的模拟光谱。我们发现,我们使用深度生成网络(即生成对抗网络和生成潜优化模型)的方法可以在 60% 的情况下有效地重建高质量的中红外光谱。我们将讨论如何通过使用更多的训练数据、光度波段、模型参数或采用其他生成网络来改进我们的方法。
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来源期刊
Astronomy and Computing
Astronomy and Computing ASTRONOMY & ASTROPHYSICSCOMPUTER SCIENCE,-COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.10
自引率
8.00%
发文量
67
期刊介绍: Astronomy and Computing is a peer-reviewed journal that focuses on the broad area between astronomy, computer science and information technology. The journal aims to publish the work of scientists and (software) engineers in all aspects of astronomical computing, including the collection, analysis, reduction, visualisation, preservation and dissemination of data, and the development of astronomical software and simulations. The journal covers applications for academic computer science techniques to astronomy, as well as novel applications of information technologies within astronomy.
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