论文标题
Galaxy Zoo Builder：由公民科学指导的螺旋星系的四个组件光度分解
Galaxy Zoo Builder: Four Component Photometric decomposition of Spiral Galaxies Guided by Citizen Science
论文作者
论文摘要
银河系的多组分建模是定量了解星系进化的努力的宝贵工具，但是该技术的使用却被收敛，模型选择和参数脱生的问题所困扰。这些问题将其在大型样本上的应用限制为最简单的模型，其中复杂模型仅应用于很小的样本。我们试图通过开发一个建立在“百自舍夫公民科学平台”内部的新型框架来解决“数量或质量”的困境，以使Sloan Digitial Sky Survey Galaxies的模型创建众包。我们已经在198个星系的测试样本上应用了该方法，包括最终的算法优化步骤，并检查了这种新方法的鲁棒性。我们还将其与自动拟合管道进行了比较，表明可以始终如一地恢复与先前工作相吻合或改进的准确模型。我们得出的结论是，公民科学是一种建模复杂星系图像并发布我们模型目录的有前途的技术。
Multi-component modelling of galaxies is a valuable tool in the effort to quantitatively understand galaxy evolution, yet the use of the technique is plagued by issues of convergence, model selection and parameter degeneracies. These issues limit its application over large samples to the simplest models, with complex models being applied only to very small samples. We attempt to resolve this dilemma of "quantity or quality" by developing a novel framework, built inside the Zooniverse citizen science platform, to enable the crowdsourcing of model creation for Sloan Digitial Sky Survey galaxies. We have applied the method, including a final algorithmic optimisation step, on a test sample of 198 galaxies, and examine the robustness of this new method. We also compare it to automated fitting pipelines, demonstrating that it is possible to consistently recover accurate models that either show good agreement with, or improve on, prior work. We conclude that citizen science is a promising technique for modelling images of complex galaxies, and release our catalogue of models.
