Magnetic inclination alignment with timescale proportional to B to the minus two suppresses observed numbers of strong-field neutron stars, unifying pulsars and magnetars under one log-uniform initial B distribution.
Statistics of interpulse radio pulsars - the key to solving the alignment/counter-alignment problem
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
abstract
At present, there are theoretical models of radio pulsar evolution which predict both the alignment, i.e., evolution of inclination angle $\chi$ between magnetic and rotational axes to $0^{\circ}$, and its counter-alignment, i.e., evolution to $90^{\circ}$. At the same time, both models well describe the pulsar distribution on $P$-$\dot P$ diagram. For this reason, up to now it was impossible to determine the braking mechanisms since it was rather difficult to estimate inclination angle evolution on the basis of observation. In this paper we demonstrate that statistics of interpulse pulsars can give us the key to solve alignment/counter-alignment problem as the number of interpulse pulsars (both, having $\chi \sim 0^{\circ}$ and $\chi \sim 90^{\circ}$) drastically depends on evolution of inclination angle.
years
2026 2verdicts
UNVERDICTED 2representative citing papers
SPICE is an automated pipeline that recovers known pulsars in GMRT data by detecting scintillation signatures in interferometric visibilities.
citing papers explorer
-
A Log-Uniform Initial Magnetic Field Distribution Explains Pulsar and Magnetar Populations through Magnetic Inclination Alignment
Magnetic inclination alignment with timescale proportional to B to the minus two suppresses observed numbers of strong-field neutron stars, unifying pulsars and magnetars under one log-uniform initial B distribution.
-
SPICE: Scintillation Pipeline for Interferometric Candidate Extraction
SPICE is an automated pipeline that recovers known pulsars in GMRT data by detecting scintillation signatures in interferometric visibilities.