FAST Observations of the Microstructure in Interpulse Pulsars

2025/09/07 by Wei Li, S. J. Dang, Li, Wei +27 · 1 citation
Engineering · #Superconducting Materials and Applications #Particle accelerators and beam dynamics #Particle Accelerators and Free-Electron Lasers

paper · pdf · doi:10.48550/arxiv.2509.05957

Abstract

In this study, we investigate the microstructure properties of four pulsars (PSRs J0953+0755 (B0950+08), J0627+0706, J0826+2637 (B0823+26) and J1946+1805 (B1944+17)) using the Five-hundred-meter Aperture Spherical radio Telescope (FAST), with particular emphasis on identifying microstructure within interpulse (IP). Through the application of autocorrelation function (ACF) analysis and fast Fourier transform (FFT) techniques, we have systematically examined the periodicity of microstructure in these pulsars. Our findings represent the first successful detection of microstructure within IP. Furthermore, we conducted a comprehensive statistical analysis comparing the characteristic timescales (τ_μ) and the characteristic periods P_μ of quasi-periodic microstructure between the main pulse (MP) and IP, and our results indicate that the τ_μ and P_μ of microstructure across components appear consistent within measurement errors for PSR J0627+0706, but microstructure in IP are relatively smaller than those in MP for PSR J0953+0755. Furthermore, the relationship between P_μ of microstructure and the rotation period in neutron star populations was reconfirmed: P_μ(ms)=(1.337±0.114)× P(s)^{(1.063±0.038)}.

Citations

• Quasi-periodic sub-structure of RRAT J1913+1330
• The emission geometry of pulsars with interpulses
• Pulse Profile Variability of PSR J1022+1001 in NANOGrav Data
• RRAT J1913+1330: an extremely variable and puzzling pulsar
• Array programming with NumPy
• A fast radio burst associated with a Galactic magnetar
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• SciPy 1.0: fundamental algorithms for scientific computing in Python
• LOFAR discovery of a quiet emission mode in PSR B0823+26
• The ATNF Pulsar Catalogue

Cited by

• Identifying Quasi-Periodic Micropulses in Pulsars with FAST Using Convolutional Neural Networks

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