S2DFS: Analysis of temporal changes of drifting subpulses

TL;DR

The paper introduces S2DFS, a new technique for analyzing the temporal behavior of drifting subpulses in radio pulsars, capable of detecting mode changes and nulling effects.

Contribution

A novel method called S2DFS is developed to analyze and characterize the temporal changes of drifting subpulses in radio pulsars, expanding understanding of pulsar emission behaviors.

Findings

S2DFS effectively detects temporal drift changes in simulated data.

The method reveals mode changes and nulling in real pulsar data.

S2DFS complements existing fluctuation spectrum techniques.

Abstract

We introduce a new technique, called the Sliding Two-Dimensional Fluctuation Spectrum, used for detecting and characterising the temporal changes of drifting subpulses from radio pulsars. The method was tested using simulated data as well as archived observations made with the WSRT at wavelengths of 92 and 21 cm. The drifting subpulse phenomenon is a well known property of radio pulsars. However the properties of the temporal behaviour of drifting subpulses are not fully explored. The drifting can also be non-coherent and the presence of effects like nulling or drift rate changing can mask the drifting behaviour of the pulsar. The S2DFS is a robust method for investigating this phenomenon and by introducing it we aim to expand our knowledge of the temporal drifting subpulse properties. Our new analysis method uses horizonally collapsed fluctuation spectra obtained with the Two-Dimensional Fluctuation Spectrum method. Stacking the collapsed spectra obtained in a 256 pulse window which slides by a pulse at a time produces a map of the collapsed fluctuation spectrum. By analysing the maps one can easily determine the presence of any temporal drift changes. Simulated data showed that the technique can reveal the presence of any temporal changes in drift behaviour like mode changing or nulling. We have also analysed data of three pulsars, PSRs B0031-07, B1819-22 and B1944+17, which were selected based on the quality of the data and their known drift properties. All three sources are known to exhibit mode changes which could easily be seen in the S2DFS. The results from the analysis of the data sets used in this paper have shown that the S2DFS method is robust and complimentary to the 2DFS method in detecting and characterising the temporal changes in drifting subpulses from radio pulsars.