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 have 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 data sets, including mock and real data.

从观测到的光度和光谱推断恒星族群的物理特性是星系演化研究的一个关键目标。近年来，可用数据的质量和数量都有所增加，相应的努力也增加了用于解释这些观测的星族模型的真实性。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。这些模型不容易适应网格，需要对可用参数空间进行全面探索。我们介绍探矿者，一个灵活的代码，用于从跨越紫外到红外波长的光度测量和光谱推断恒星种群参数。该代码基于数据前向建模和蒙特卡罗采样后验参数分布，支持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，并讨论了推动这些成分设计的一般理念。我们在多个数据集上演示了代码的一些功能，包括模拟和真实数据。