用于计时PSR J1713+0747的时间稳定发射成分轮廓重建
Profile Reconstruction from Temporally Stable Emission Components for Timing PSR J1713+0747
AI总结：
针对PSR J1713+0747的低频观测，采用贝叶斯高斯分解框架识别稳定发射成分，重建脉冲轮廓以缓解变异性，提升计时精度。
AI中文摘要：
长期脉冲轮廓稳定性的假设是高精度脉冲星计时的基础，也是脉冲星计时阵列实验的基础。然而，若干毫秒脉冲星表现出时间轮廓变异性，这会在脉冲到达时间测量中引入系统偏差，损害计时精度。我们使用升级后的GMRT观测数据，针对印度脉冲星计时阵列实验，在300-500 MHz低频段对PSR J1713+0747进行了轮廓域分析。我们采用贝叶斯高斯分解框架对频率分辨的脉冲轮廓进行建模，其中单个高斯成分通过信息相位先验与持续发射区域相关联，该先验允许适度的时间变化。通过跟踪分解成分在不同观测历元和频率子带中的演化，我们识别出尽管积分脉冲形态发生变化但仍保持精确定位的中心高斯成分。随后，我们利用这些中心成分重建具有实际噪声的脉冲轮廓并进行计时分析。我们的方法提供了一个具有物理动机的框架，用于缓解脉冲轮廓变异性，并为从表现出轮廓演化的脉冲星中恢复稳健计时信息提供了通用方法。
英文摘要：
The assumption of long-term pulse-profile stability underpins high-precision pulsar timing and forms the basis of pulsar timing array experiments. However, several millisecond pulsars exhibit temporal profile variability that can introduce systematic biases in pulse time of arrival measurements and compromise timing precision. We present a profile-domain analysis of PSR J1713+0747 at low radio frequencies, in the 300-500 MHz band, using upgraded GMRT observations for the Indian Pulsar Timing Array experiment. We model frequency-resolved pulse profiles using a Bayesian Gaussian decomposition framework in which individual Gaussian components are associated with persistent emission regions through informative phase priors that permit modest temporal variations. By tracking the evolution of the decomposed components across observing epochs and frequency sub-bands, we identify central Gaussian components that remain precisely localized despite changes in the integrated pulse morphology. We then reconstruct pulse profiles with realistic noise using these central components and perform timing analysis. Our approach provides a physically motivated framework for mitigating pulse-profile variability and offers a generic methodology for recovering robust timing information from pulsars exhibiting profile evolution.
