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Visualizing the pulsar population using graph theory
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DOI：10.1093/mnras/stac1997.png)
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Abstract
En 中文
The P(P) over dot diagram is a cornerstone of pulsar research. It is used in multiple ways for classifying the population, understanding evolutionary tracks, identifying issues in our theoretical reach, and more. However, we have been looking at the same plot for more than five decades. A fresh appraisal may be healthy. Is the P(P) over dot-diagram the most useful or complete way to visualize the pulsars we know? Here we pose a fresh look at the information we have on the pulsar population. First, we use principal component analysis over magnitudes depending on the intrinsic pulsar's timing properties (proxies to relevant physical pulsar features), to analyse whether the information contained by the pulsar's period and period derivative is enough to describe the variety of the pulsar population. Even when the variables of interest depend on P and (P) over dot, we show that P(P) over dot are not principal components. Thus, any distance ranking or visualization based only on P and (P) over dot is potentially misleading. Next, we define and compute a properly normalized distance to measure pulsar nearness, calculate the minimum spanning tree of the population, and discuss possible applications. The pulsar tree hosts information about pulsar similarities that go beyond P and (P) over dot, and are thus naturally difficult to read from the P(P) over dot-diagram. We use this work to introduce the pulsar tree website containing visualization tools and data to allow users to gather information in terms of MST and distance ranking.
Keywords:
methods: data analysis
stars: neutron
pulsars: general
Journal
IF:
4.8
Papers:
7.0W
Citations:
25.0W
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