Flicker noise pulsar radio spectra
K. Krzeszowski, O. Maron, A. S{\l}owikowska, A. Jessner

TL;DR
This study demonstrates that the flicker noise model accurately describes pulsar radio spectra across a wide frequency range, offering advantages over traditional power-law models by providing a smooth spectral transition with fewer parameters.
Contribution
The paper applies the flicker noise model to a large pulsar spectral dataset using MCMC, revealing its effectiveness and correlations among parameters, and compares it with existing power-law fits.
Findings
Flicker noise model fits spectra well from MHz to GHz frequencies.
Strong correlation between model parameters log S0 and n, and between n and spectral index α.
No correlation between model parameters and pulsar physical properties.
Abstract
We present new results of fitting 108 spectra of radio pulsars with the flicker noise model proposed by Loehmer et al. (2008) and compare them with the spectral indices of power-law fits published by Maron et al. (2000). The fits to the model were carried out using the Markov chain Monte Carlo (MCMC) method appropriate for the non-linear fits. Our main conclusion is that pulsar radio spectra can be statistically very well described by the flicker noise model over wide frequency range from a few tens of MHz up to tens of GHz. Moreover, our dataset allows us to conduct statistical analysis of the model parameters. As our results show, there is a strong negative correlation between the flicker noise spectrum model parameters log and and a strong positive relationship between n and the power-law spectral index . The latter implies that their physical meaning is similar,…
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Taxonomy
TopicsPulsars and Gravitational Waves Research · Geophysics and Gravity Measurements · Radio Astronomy Observations and Technology
