Incoprea hypothesis tests · volume II
Pulsar glitches are avalanche events in a pinned vortex lattice rather than sudden unpinning of a whole region, so their size distribution should follow a power law and their waiting times a characteristic scaling.
Avalanche sizes should follow a power law; the exponent should be stable across system size; waiting times should show a characteristic scaling rather than a Poisson clock.
Falsified by: A characteristic glitch size would refute the avalanche picture.
Two-dimensional Abelian sandpile at L = 32, 48 and 64, 120,000 random drives each. Avalanche size is the number of topplings. Power-law exponent by maximum likelihood with a lower cutoff of 8 topplings; waiting times between avalanches recorded in drives. Three lattice sizes test exponent stability.
code/tests/glitches-are-avalanches.py from the recorded run.| Avalanche exponent, L=64 and L=32 | 32: 1.46 · 48: 1.39 · 64: 1.36 |
| Waiting-time mean (drives) | 2.4 |
| Poisson rate per drive | 0.41 |
Avalanche sizes follow a power law with exponent 1.36 at L=64 and 1.46 at L=32, stable to within 0.11 across a fourfold change in system size. But the waiting times are exponential, not scaling: mean 2.4 drives, exactly the 0.411 per-drive rate of a Poisson driver. The size prediction survives; the waiting-time prediction does not, and it is an artefact of how the model is driven.
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