Likelihood Methods for the Detection and Characterization of Gamma-ray Pulsars with the Fermi Large Area Telescope
Likelihood Methods for the Detection and Characterization of Gamma-ray Pulsars with the Fermi Large Area Telescope
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发表时间：
2011-01
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通讯作者：
M. Kerr
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作者：
M. Kerr
费米伽马射线空间望远镜上的大面积望远镜（LAT）的灵敏度允许检测数千个新的伽马射线源，并详细描述明亮源的光谱和可变性。毫不奇怪，这种增加的能力导致数据分析的复杂性增加。似然方法是连接模型与数据的理想方法，但通过多尺度仪器响应函数折叠模型输入的计算成本是可观的。交互式分析和大型项目（如对整个伽马射线天空的分析）都可能令人望而却步或不可能，从而缩小了LAT可能的科学范围。为了改善这种情况，我们已经开发了点状，LAT数据的快速最大似然分析的软件包。它的设计是交互式的，其对可能性的快速评估有助于探索性和大规模的全天分析。我们详细介绍了它的实现，并验证其性能的模拟数据。我们展示了它的交互式分析能力，并提出了几个全天分析。其中包括寻找新的伽马射线源和选择具有脉冲星特征的LAT源进行有针对性的无线电脉动搜索。我们的结论是开发敏感的周期性测试，将光谱信息从点状。
The sensitivity of the Large Area Telescope (LAT) aboard the Fermi Gamma-ray Space Telescope allows detection of thousands of new gamma-ray sources and detailed characterization of the spectra and variability of bright sources. Unsurprisingly, this increased capability leads to increased complexity in data analysis. Likelihood methods are ideal for connecting models with data, but the computational cost of folding the model input through the multi-scale instrument response function is appreciable. Both interactive analysis and large projects---such as analysis of the full gamma-ray sky---can be prohibitive or impossible, reducing the scope of the science possible with the LAT. To improve on this situation, we have developed pointlike, a software package for fast maximum likelihood analysis of LAT data. It is interactive by design and its rapid evaluation of the likelihood facilitates exploratory and large-scale, all-sky analysis. We detail its implementation and validate its performance on simulated data. We demonstrate its capability for interactive analysis and present several all-sky analyses. These include a search for new gamma-ray sources and the selection of LAT sources with pulsar-like characteristics for targeted radio pulsation searches. We conclude by developing sensitive periodicity tests incorporating spectral information obtained from pointlike.