# Statistical properties of giant pulses from the Crab pulsar

## TL;DR

This study analyzes the statistical properties of giant pulses from the Crab pulsar, focusing on their widths and energy distributions, revealing how these properties vary with pulse duration and providing insights into their emission mechanisms.

## Contribution

First detailed statistical analysis of Crab pulsar giant pulses considering their widths and energy distributions, highlighting differences across pulse durations.

## Key findings

- Power-law slope of energy distribution varies with pulse width
- Shorter pulses tend to have higher peak flux densities
- Breaks in energy distribution indicate different emission regimes

## Abstract

We have studied the statistics of giant pulses from the Crab pulsar for the first time with particular reference to their widths. We have analyzed data collected during 3.5 hours of observations conducted with the Westerbork Synthesis Radio Telescope operated in a tied-array mode at a frequency of 1200 MHz. The PuMa pulsar backend provided voltage recording of X and Y linear polarization states in two conjugate 10 MHz bands. We restricted the time resolution to 4 microseconds to match the scattering on the interstellar inhomogeneities. In total about 18000 giant pulses (GP) were detected in full intensity with a threshold level of 6 sigma. Cumulative probability distributions (CPD) of giant pulse energies were analyzed for groups of GPs with different effective widths in the range 4 to 65 microseconds. The CPDs were found to manifest notable differences for the different GP width groups. The slope of a power-law fit to the high-energy portion of the CPDs evolves from -1.7 to -3.2 when going from the shortest to the longest GPs. There are breaks in the CPD power-law fits indicating flattening at low energies with indices varying from -1.0 to -1.9 for the short and long GPs respectively. The GPs with a stronger peak flux density were found to be of shorter duration. We compare our results with previously published data and discuss the importance of these peculiarities in the statistical properties of GPs for the heoretical understanding of the emission mechanism responsible for GP generation.