论文标题
HAT-P-23 B，卡塔尔-1 B，WASP-2 B和WASP-33 B的分析具有优化的系外行驶解释代码
Analysis of HAT-P-23 b, Qatar-1 b, WASP-2 b, and WASP-33 b with an Optimized EXOplanet Transit Interpretation Code
论文作者
论文摘要
公民科学家使用来自小型望远镜的图像来分析图像数据并搜索系外行星的能力有可能大大加速寻找系外行星的搜索。在外部运输解释代码（外来）上的最新工作使得给定给定图像数据产生了系外行星过渡的高质量光曲线。但是，在大图像数据集上，数据和拟合光曲线的光度分析可能是一个耗时的过程。在这项工作中，我们首先优化了外来代码库的部分，以实现更快的图像处理和曲线拟合。具体而言，我们限制了对具有各种光圈和Annuli的拟合质心的重复计算。此外，此加速度根据拟合文件的数量线性缩放。在测试了现有的HAT-P-32 B数据和较新的HAT-P-23 B数据之后，我们的最佳演示是大约5倍的加速，尽管考虑到大量适合文件，该因素会增加。利用加速代码，我们使用了由Boyce-Astro操作的16英寸SRO望远镜捕获的数据分析了HAT-P-23 B，卡塔尔-1 B，WASP-2 B和WASP-33 B的过渡。
The ability for citizen scientists to analyze image data and search for exoplanets using images from small telescopes has the potential to greatly accelerate the search for exoplanets. Recent work on the Exoplanet Transit Interpretation Code (EXOTIC) enables the generation of high-quality light curves of exoplanet transits given such image data. However, on large image datasets, the photometric analysis of the data and fitting light curves can be a time-consuming process. In this work, we first optimize portions of the EXOTIC codebase to enable faster image processing and curve fitting. Specifically, we limited repetitive computation on fitting centroids with various apertures and annuli. Moreover, this speedup is scaled linearly based on the number of FITS files. After testing on existing HAT-P-32 b data and newer HAT-P-23 b data, our best demonstration was approximately a 5x speedup, though that factor increases given a larger number of FITS files. Utilizing the accelerated code, we analyzed transits of HAT-P-23 b, Qatar-1 b, WASP-2 b, and WASP-33 b using data captured by the 16" SRO telescope operated by Boyce-Astro.
