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Mohsen Shamohammadi

The goal of my PhD project is to improve the quality of pulse times of arrival and make datasets more sensitive to exploring gravitational waves, testing general relativity, measuring neutron star masses, and testing other effects on pulsar timing observations. Unfortunately and inevitably, there are strong sources of radio-frequency interference (RFI) that limit our ability to measure the effect of gravitational waves on the pulse arrival times. One solution for this problem is to study the statistics of RFI and delete it from data. In order to achieve the goal, I am developing a tool using Python to identify the RFI and remove it from datasets such as the Parkes Pulsar Timing Array (PPTA) second data release and observations from MeeKAT. After reproducing the methods of previous RFI cleaning tools, my analysis will be extended to utilise machine learning to improve the precision of the RFI cleaning.

Office   AMDC914a.05