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arXiv 2012.01426astro-ph.GAastro-ph.IM
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用Prospector推断恒星星族

Stellar Population Inference with Prospector

Benjamin D. Johnson, Joel Leja, Charlie Conroy, Joshua S. Speagle

摘要:

从观测到的光度学和光谱学信息推断恒星星族的物理性质是星系演化研究的一个重要目标。近年来,可用数据的质量和数量都有所增加,并且已经做出相应的努力来提高用于解释这些观测结果的恒星星族模型的真实性。详细描述观测到的星系光谱能量分布现在需要具有大量高度相关参数的物理模型。这些模型不适合网格,需要充分探索可用的参数空间。我们提出了探矿者,一个灵活的代码推断恒星星族参数的光度和光谱跨越紫外线到红外波长。该代码基于对数据的正向建模和对后验参数分布进行蒙特卡罗采样,从而实现复杂模型和中等维度参数空间的探索。我们描述了代码的关键成分,并讨论了驱动这些成分的设计的一般哲学。我们在几个数据集上演示了代码的一些功能,包括模拟和真实数据。

英文摘要:

Inference of the physical properties of stellar populations from observed photometry and spectroscopy is a key goal in the study of galaxy evolution. In recent years the quality and quantity of the available data has increased, and there have been corresponding efforts to increase the realism of the stellar population models used to interpret these observations. Describing the observed galaxy spectral energy distributions in detail now requires physical models with a large number of highly correlated parameters. These models do not fit easily on grids and necessitate a full exploration of the available parameter space. We present prospector, a flexible code for inferring stellar population parameters from photometry and spectroscopy spanning UV through IR wavelengths. This code is based on forward modeling the data and Monte Carlo sampling the posterior parameter distribution, enabling complex models and exploration of moderate dimensional parameter spaces. We describe the key ingredients of the code and discuss the general philosophy driving the design of these ingredients. We demonstrate some capabilities of the code on several datasets, including mock and real data.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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