...
首页> 外文期刊>Planetary and space science >Search of exoplanetary radio signals in the presence of strong interference: enhancing sensitivity by data accumulation
【24h】

Search of exoplanetary radio signals in the presence of strong interference: enhancing sensitivity by data accumulation

机译:在强烈干扰下搜索系外行星无线电信号:通过数据积累提高灵敏度

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

We develop a statistical approach aimed at the detection of weak sporadic pulses on the noise background. The results are applied to modeling the observational time series where pulsed radio emissions have to be recognized against the sky background fluctuations. The proposed methodology demonstrates the efficiency of using the statistics of peak values (integrated tail of probability distribution function of the intensity) for the purpose of signal detection. It is established that the highest sensitivity is reached with this method at low values of the filling factor (duty cycle) of the pulsed signals. If in addition the pulses have sufficiently high intensity, the discussed approach performs better than simple integration over the observational time. Then we discuss the possibility of detecting radio pulses from exoplanetary magnetospheres, especially from known "hot Jupiters" found by radial velocity measurements in the visible and we report our results from extensive observations of several candidate exoplanets with the world largest decameter telescope UTR-2. Although no detection of pulsed emission from exoplanets has been found to date, the analysis demonstrates the feasibility of detection with more stable receivers and longer observational time.
机译:我们开发了一种统计方法,旨在检测噪声背景上的弱零星脉冲。将结果应用于对观测时间序列进行建模,其中必须针对天空背景波动识别脉冲无线电发射。所提出的方法论证明了使用峰值统计(强度的概率分布函数的积分尾部)进行信号检测的效率。已经确定,在脉冲信号的填充因子(占空比)较低的情况下,使用此方法可以达到最高灵敏度。如果另外脉冲具有足够高的强度,则所讨论的方法在整个观察时间内的性能要好于简单积分。然后,我们讨论了探测来自行星外磁层的无线电脉冲的可能性,尤其是从可见光中径向速度测量发现的已知“热木星”中探测到的可能性,并且我们用世界上最大的十米望远镜UTR-2对几种候选系外行星的广泛观测报告了我们的结果。尽管迄今为止尚未发现来自系外行星的脉冲发射的检测,但该分析证明了使用更稳定的接收器和更长的观测时间进行检测的可行性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号