银河系自由电子密度的平方公里阵列层析成像
Tomography of the Galactic free electron density with the Square Kilometer Array
摘要：
本文提出了一种从脉冲星色散测量重建银河系自由电子密度的新算法。该算法对任意自由度的密度场进行非参数层析成像。它是基于近似的银河系自由电子密度的产品的分布函数与统计各向同性和均匀的对数正态场。在这种近似下，算法生成自由电子密度的图以及不确定性估计，而不需要关于功率谱的信息。脉冲星距离的不确定性处理一致的迭代过程。我们使用NE 2001模型（将波动修改为银河模型）、从Lorimer种群模型生成的脉冲星种群以及模拟即将到来的平方公里阵列的模拟观测来测试该算法。我们展示了模拟数据集的重建质量，其中包含1000和10000之间的距离不确定性高达25%的historiars。我们的研究结果表明，与SKA的银河系自由电子密度的非参数层析成像变得可行，但重建的质量是非常敏感的距离不确定性。
英文摘要：
We present a new algorithm to reconstruct the Galactic free electron density from pulsar dispersion measures. The algorithm performs a nonparametric tomography for a density field with an arbitrary amount of degrees of freedom. It is based on approximating the Galactic free electron density as the product of a profile function with a statistically isotropic and homogeneous log-normal field. Under this approximation the algorithm generates a map of the free electron density as well as an uncertainty estimate without the need of information about the power spectrum. The uncertainties of the pulsar distances are treated consistently by an iterative procedure. We test the algorithm using the NE2001 model with modified fluctuations as a Galaxy model, pulsar populations generated from the Lorimer population model, and mock observations emulating the upcoming Square Kilometer Array. We show the quality of the reconstruction for mock data sets containing between 1000 and 10000 pulsars with distance uncertainties up to 25%. Our results show, that with the SKA nonparametric tomography of the Galactic free electron density becomes feasible, but the quality of the reconstruction is very sensitive to the distance uncertainties.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
