Rapid analysis of binary lens gravitational microlensing light curves
Rapid analysis of binary lens gravitational microlensing light curves
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二元透镜引力微透镜光变曲线的快速分析
DOI：
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发表时间：
2003
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通讯作者：
P. Vermaak
中科院分区：
文献类型：
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作者：
P. Vermaak
本文提出了一种利用二元透镜自主拟合引力微透镜光变曲线的新算法。该算法依赖于人工神经网络与传统的阿米巴（下坡单纯形）方法的结合，以实现68%的成功率，使用严格的成功标准，在平均拟合时间为48秒，每个光变曲线时，应用于400模拟光变曲线。目前的算法适合一个简单的七参数模型生成的测试曲线，并需要完整的光变曲线的功能，但作为未来工作的概念证明。
A new algorithm for the autonomous fitting of light curves of gravitational microlensing by binary lenses is presented here. The algorithm relies on the combination of artificial neural networks with a conventional amoeba (downhill simplex) method to achieve a success rate of 68 per cent using strict success criteria, in an average fitting time of 48 s per light curve when applied to 400 simulated light curves. The current algorithm fits a simple seven-parameter model to generated test curves and requires complete light curves to function, but serves as proof of concept for future work.