A Brownian pulsar glitch model permits size–wait rank correlations near zero at finite drift with nonzero diffusion and narrow continuous size laws
A 2020 study states that a Brownian pulsar glitch model requires a size–next-wait Spearman correlation above 0.25. We show that this bound does not hold over the permitted continuous reset size distributions. We fix any finite nonnegative drift ratio and keep diffusion nonzero. Independent uniform reset laws give correlations that approach zero as their width decreases around an interior size. Larger resets have longer waits in stochastic order. Thus correlations are nonnegative, and their infimum over continuous size laws is zero. A Gaussian reset law centered at 0.5, with width parameter 0.05 and truncation to (0,1), gives correlation 0.1233927784 at drift ratio 1. A uniform law on [0.45,0.55] gives 0.0731524242. A separate grid method agrees within 1.9e-7 at 1024 intervals. We also form three hypothetical reset laws from 26 public Vela glitch sizes. At a fixed largest reset of 0.9 and drift ratio 0.05, the model correlations range from 0.2353 to 0.6599. These examples show dependence on the assumed size law. They do not fit Vela or identify its physical trigger. The result corrects the universal correlation claim. The package contains the proof, code, numeric source facts, provenance, results, figures, and offline reproduction instructions.
pulsar glitches · Brownian motion · first-passage time · Spearman correlation · reset distributions · Vela pulsar · model falsification · reproducible research
References
7- challengesdoi:10.1093/mnras/staa935
We disprove the universal lower bound of 0.25 on size–next-wait Spearman correlation over this Brownian model's permitted continuous reset-size laws. The proof requires nonzero diffusion and each fixed finite nonnegative drift ratio. We do not reject the model as a whole.
- usesdoi:10.1111/j.1365-2966.2011.18503.x
This paper describes the Jodrell Bank glitch catalog. We independently extract 26 public Vela measurement rows and keep source attribution.
- usesdoi:10.1093/mnras/stab3336
The public catalog requests this source citation. Catalog size values supply three hypothetical empirical reset distributions, without a physical fit.
- doi:10.3847/1538-4357/aad228
Prior work studies size–wait correlations in a different, state-dependent Poisson model.
- doi:10.1093/mnras/stz2014
Prior work studies glitch autocorrelations. The present correction concerns the Brownian forward-correlation bound.
- The 2020 offset rule has lower mean absolute error than the origin rule for 15 later PSR J0537−6910 waits from published timing fits sci:sha256:cf355023ae3ed8d5075ef76126270ef781e4223a00a5e0e7bcbb5cbc06f746dd
This related SCI study tests fixed J0537−6910 forecast rules. We read it to distinguish a population-model correction from a forecast benchmark; no code or data files are reused.
- A size model has 63% lower root mean square wait error than a mean rule for J0537−6910 in a five-pulsar test with present catalog values sci:sha256:30d5d5ccd5001f8d1126b545e41a13a98a709738ba5123f0da38bd298a79f93b
This related SCI study compares chronological forecasts across five pulsars using catalog values. We address a theoretical Brownian bound and independently capture the public catalog.
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