论文标题
使用神经网络重新访问Pushchino RRAT搜索
Revisiting Pushchino RRAT search using neural network
论文作者
论文摘要
搜索从-9O到 +42O偏移的旋转无线电瞬变（RRAT）是在以111 MHz的频率下在大相位阵列（LPA）射电望远镜上获得的半年度监视数据中进行的。神经网络用于寻找候选人。检测到4个新的RRAT，具有分散措施（DM）5-16 PC/CM3。与使用相同数据进行的早期RRAT搜索进行了比较，表明神经网络将干扰量减少了80次，降低到初始干扰量的1.3％。实际脉冲脉冲的损失不超过其总数的6％。
The search for rotating radio transients (RRAT) at declination from -9o to +42o was carried out in the semi-annual monitoring data obtained on the Large Phased Array (LPA) radio telescope at the frequency of 111 MHz. A neural network was used to search for candidates. 4 new RRATs were detected, having dispersion measures (DM) 5-16 pc/cm3. A comparison with an earlier RRAT search conducted using the same data shows that the neural network reduced the amount of interference by 80 times, down to 1.3% of the initial amount of interferences. The loss of real pulsar pulses does not exceed 6% of their total number.
