Neutrino Multiplet False-Alarm Calculator

The background budget behind Paper A's T6 kill condition: how often does an atmospheric-neutrino background alone throw an accidental multi-track cluster inside a search cone, at a given detector rate, cone size, coincidence window, and multiplicity threshold? Set the cuts and read off the expected false multiplet count over a survey livetime.

Falsification test
Background estimate, not a detector simulation. This is the same order-of-magnitude Poisson accounting behind Paper A §7 T6: a uniform atmospheric background over the up-going hemisphere, no angular-resolution smearing, no energy cuts beyond the stated threshold. It reproduces the paper's headline number; a real analysis needs the full instrument response (Swanson 2026, "Macro Transcension Hypothesis," §7, Table 2).
Search parameters
1.0×10³ yr⁻¹
1.00°
1.0×10³ s
3
10 yr
Poisson outputs
Cone solid angle Ω
Cone background rate λ
Window expectation μ = λ·window
P(≥k) per window
Independent windows over livetime
Expected false multiplets over livetime
computing…
Expected false multiplets vs. multiplicity threshold
Expected accidental ≥k multiplets over the current livetime, at the current rate/cone/window, swept over k. The current threshold is marked.

The model

A search cone of radius θ subtends solid angle Ω = 2π(1 − cos θ). If the full up-going hemisphere (2π sr) sees a background rate R (events/yr), the cone sees a fraction Ω/2π of it, giving a cone background rate λ = R·(Ω/2π) in events/s. Over a coincidence window of duration w, the Poisson expectation is μ = λ·w, and the probability of an accidental multiplet of k or more tracks in one window is the Poisson upper tail

P(≥k) = 1 − Σi=0k−1 e−μμi/i!

which for the small μ typical of a background-free search reduces to the leading term μᵏ/k!. Multiplying by the number of independent windows in the survey livetime gives the expected count of accidental multiplets over the whole campaign — the number that must be small for a single confirmed multiplet to be trusted as a genuine trigger.

Trials factor

The number above is for one fixed window duration. A real search scans several candidate window lengths (Paper A notes generous headroom even after this correction), which multiplies the single-window false-alarm count by roughly the number of independent durations scanned. The trials note below applies a fiducial ×10 scan penalty to the expected count; it does not change the per-window μ or P(≥k) shown in the outputs above.

Reproducing Paper A's T6 number

At the T6 fiducials — full-array ARCA background R = 10³ yr⁻¹ over the up-going hemisphere, 1° cone, 10³ s window, k = 3, 10 yr livetime — this tool gives λ ≈ 4.8×10⁻⁹ s⁻¹, μ ≈ 4.8×10⁻⁶, P(≥3) ≈ 1.9×10⁻¹⁷, ≈3.16×10⁵ independent windows per decade, and an expected false-multiplet count ≈ 6×10⁻¹² per decade — the same order of magnitude as Paper A's rounded headline of ~10⁻¹¹ per decade (Swanson 2026, "Macro Transcension Hypothesis," §7). The criterion is background-free by many orders of magnitude; the practical limit on T6 is exposure, not background.

v1.0 — 2026-07-23 · Code MIT · Prose CC BY 4.0 · Swanson 2026, "Macro Transcension Hypothesis" ("Paper A") §7, Table 2 (T6); Adrián-Martínez et al. 2016 (KM3NeT 2.0 letter of intent)