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首页> 外文期刊>International journal of modern physics, D. Gravitation, astrophysics, cosmology >FLARE DETECTION USING WAVELET DENOISING AND SWIFT BAT DATA FOR NEUTRINO MULTIMESSENGER STUDIES
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FLARE DETECTION USING WAVELET DENOISING AND SWIFT BAT DATA FOR NEUTRINO MULTIMESSENGER STUDIES

机译:使用小波去噪和SWIFT BAT数据进行火炬检测以进行中微子多信使研究

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摘要

Theory predicts a neutrino signal is possible from jets from active galactic nuclei (AGN) if there is hadronic acceleration in the jets. Flaring activity in X-rays and γ-rays from blazars could indicate similar activity in neutrinos in the jets. Short duration flares, on the scale of hours, could allow for narrow time windows to be searched for a Neutrino signal above the background of atmospheric neutrinos. A wavelet technique will be run over orbit-by-orbit Swift BAT (Burst Alert Telescope) data to identify flaring periods to accurately determine start and end times. The wavelet technique is notable as it accounts for both uneven time sampling and varying error bars across a time series.
机译:理论预测,如果射流中有强子加速,则来自活跃银河核(AGN)的射流可能产生中微子信号。来自大火星的X射线和γ射线的爆发活动可能表明射流中微子的活动类似。以小时为单位的持续时间短的耀斑可能允许在大气中微子背景以上的狭窄时间窗口内搜索中微子信号。小波技术将在逐轨道的Swift BAT(爆炸警报望远镜)数据上运行,以识别爆发周期,从而准确确定开始和结束时间。小波技术值得注意,因为它考虑了不均匀的时间采样和整个时间序列中变化的误差线。

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