five

Parkes observations for project P1183 semester 2023OCTS_10

收藏
Research Data Australia2025-12-20 收录
下载链接:
https://researchdata.edu.au/parkes-observations-project-semester-2023octs10/2915233
下载链接
链接失效反馈
官方服务:
资源简介:
We have detected a total of 48 bursts of FRB 20220529 using the Parkes UWL receiver, with 29 of them detected during full polarization observations. Our previous cooperating observations of FAST and Parkes for FRB 20220529 have revealed significant variations in flux distribution during different active periods. However, only 3 bursts from Parkes have been observed simultaneously with FAST, one of which has the potential to improve the spectrum limits of repeating FRBs by more than an order of magnitude. To further investigate FRB 20220529, we have scheduled regular FAST observations every fortnight, tracking the source for 20 minutes each time. Additionally, we have been granted another 10 hours of FAST time to facilitate simultaneous observations of FRB 20200529 using both the FAST and Parkes telescopes. Therefore, we propose to continue monitoring the source of FRB 20220529 using the Parkes UWL receiver, ensuring high-time resolution and employing full-polarization observations to: (1) detect more bursts using the Parkes UWL receiver, with corresponding simultaneous observations from FAST, in order to obtain robust constraints on the radiation spectrum of repeating FRBs; (2) explore additional clues regarding the active periods of FRB 20220529; (3) study the microstructure of the bursts.

我们利用帕克斯射电望远镜(Parkes)的超宽低频接收机(UWL receiver)共探测到快速射电暴(FRB)20220529的48个爆发事件,其中29个是在全偏振观测中被探测到的。我们此前针对该源开展的500米口径球面射电望远镜(FAST)与帕克斯望远镜的协同观测结果显示,其在不同活跃时段的流量分布存在显著差异。然而,仅有3个来自帕克斯望远镜的爆发事件与FAST实现了同步观测,其中1个事件有望将重复快速射电暴的频谱极限提升一个数量级以上。 为进一步研究FRB 20220529,我们已安排FAST开展定期观测,每两周进行一次,每次对该源进行20分钟的跟踪观测。此外,我们还获批了额外10小时的FAST观测时长,用于开展FAST与帕克斯望远镜对FRB 20200529的协同同步观测。 因此,我们提议继续利用帕克斯射电望远镜的超宽低频接收机对FRB 20220529的辐射源进行监测,保障高时间分辨率,并采用全偏振观测方案,以达成以下目标:(1)借助帕克斯超宽低频接收机探测更多爆发事件,同时同步开展FAST的对应观测,从而对重复快速射电暴的辐射频谱获得可靠约束;(2)探索FRB 20220529活跃时段的更多潜在线索;(3)研究爆发事件的精细结构。
提供机构:
Commonwealth Scientific and Industrial Research Organisation
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作