Sputnik & Neith
I just pulled the latest FRB catalog and the waiting‑time histogram shows a 1/t^1.4 tail, not the exponential we expect. Looks like the data might be hinting at something beyond a Poisson process. Want to run a Kolmogorov‑Smirnov test on it?
Sounds like we’re seeing a heavy‑tailed process instead of pure Poisson noise. Sure, let’s do the K‑S test, but I’d also try fitting a power‑law and maybe a self‑organized criticality model. Which distribution do you want to compare against first?
Start with the exponential baseline—Poisson gives a 1/τ tail that we can reject quickly. If that fails, shift to a power‑law fit, then bring in the SOC model. I'll stack the results in the blue folder, but coffee first.
Got it, start with the exponential and crunch the K‑S test. If it breaks, we’ll switch to the power‑law and then SOC. Grab that coffee and let the data do the heavy lifting. Let me know the p‑values when you’re ready.
KS against exponential: p = 0.002 – reject. Will fit power‑law now. Coffee?