# Geiger TRNG randomness analysis

**Generated:** 2026-05-17T18:28:24Z (duration 12.36 s)
**Git SHA:** d93d43b95c2ad91670f296220d72f39f32193fd4  ·  **Analysis version:** 1.0.0  ·  **Python:** 3.13.5

## Parameters

| Knob | Value |
|---|---|
| bits window | 65536 bytes (524,288 bits) |
| events window | 60.0 min |
| metrics window | 24.0 h |
| pile-up cutoff | 5000 µs |
| ACF max lag | 32 |

## Inputs

| Source | Loaded |
|---|---|
| `bits_stream.bin` (last N) | 65536 bytes |
| `events.csv` deltas | 21248 |
| `metrics.tsv` rows | 217 |
| `health.csv` rows | 9225 |
| `battery_history.tsv` rows | 20 |

---

## A · Source physics — inter-arrival distribution



The Geiger source is a Poisson process: the probability of an event in any
infinitesimal interval is constant. Inter-arrival times of a Poisson process
are exponentially distributed.

**Observed:**

| Statistic | Value |
|---|---|
| n deltas | 21,248 |
| mean Δt | 169424.3 µs |
| median Δt | 47226.3 µs |
| min Δt | 0.7 µs |
| max Δt | 1901955304 µs |
| estimated rate | 5.90 Hz (354 CPM) |

**Goodness-of-fit (Kolmogorov-Smirnov vs exponential):**
KS statistic = 0.2644,
p-value = 0.0000 →
**departs_from_poisson**

**Pile-up cluster** (Δt < 5000 µs, the GM tube + NE555 recovery floor):
4849 of 21,248
(22.82%).


![Inter-arrival log-log histogram](plots/interarrival_loglog.png)

*([interactive HTML](plots/interarrival_loglog.html))*



The pile-up cluster shows up as the spike below the cutoff line: events that
arrived faster than the recovery dynamics. These come from genuine random
arrivals binned by the dead-time floor:

![Pile-up cluster histogram](plots/pileup_cluster.png)

*([interactive HTML](plots/pileup_cluster.html))*




---

## B · Bit-level statistics



The Δt₁ vs Δt₂ disjoint-pair extractor emits 1 if Δt₁ > Δt₂, 0 otherwise.
With independent samples and constant dead time, the symmetry argument gives
unbiased output. With non-constant dead time (which we have — see Section A)
we filter by `--reject-us`.

| Statistic | Value | Target |
|---|---|---|
| n bits | 524,288 | – |
| ones | 262,336 (50.037%) | 50% |
| bias | +0.00037 | 0 |
| bias 1σ (sampling) | ±0.00069 | – |
| Shannon entropy | 7.9975 bits/byte | 8.0 |
| χ² statistic | 230.64 | ~255 (df) |
| χ² percentile | 86.11% | 5–95% |

**Autocorrelation** at lag 1..32 —
maximum |ρ| = 0.0040 at lag 17.


![Bit-stream autocorrelation](plots/bit_acf.png)

*([interactive HTML](plots/bit_acf.html))*



**Byte distribution** (0..255):

![Byte-value histogram](plots/byte_histogram.png)

*([interactive HTML](plots/byte_histogram.html))*



**Frequency-domain check.** A truly uniform bit stream has a flat power
spectrum (white noise). Any structural bias shows up as a peak.
Spectral flatness = 0.5625 (1.0 = perfectly flat):

![FFT power spectrum](plots/fft_power.png)

*([interactive HTML](plots/fft_power.html))*




---

## C · Drift over time (L2 rolling stats)



217 samples over the trailing 24.0 h
(2026-05-16T18:32:57Z → 2026-05-17T18:28:19Z).

| Metric | mean | std | first | last | min | max |
|---|---|---|---|---|---|---|
| bias | -0.0010 | 0.0060 | 0.0002 | 0.0028 | -0.0159 | 0.0144 |
| ent_bpb | 7.8079 | 0.0193 | 7.7902 | 7.7800 | 7.7443 | 7.8568 |
| chi_pct | 51.1028 | 29.5426 | 8.8500 | 6.2600 | 0.0100 | 99.9400 |
| lag1_bits | 0.0010 | 0.0095 | 0.0077 | 0.0018 | -0.0299 | 0.0250 |
| mean_dt_ms | 106.5519 | 125.4404 | 92.4200 | 1948.7100 | 45.7200 | 1948.7100 |
| lag1_dt | -0.0009 | 0.0343 | -0.0636 | -0.0010 | -0.0767 | 0.1422 |
| pileup_pct | 5.2003 | 3.9434 | 12.0100 | 14.1600 | 3.3200 | 58.9800 |



![Bias timeline](plots/bias_timeline.png)


![Entropy timeline](plots/entropy_timeline.png)


![χ² percentile timeline](plots/chi_timeline.png)


![Pile-up % timeline](plots/pileup_timeline.png)




---

## D · Health-test history (L1)



9225 rows in `health.csv`.


**Adaptive Proportion Test** — counts of bits matching the first bit of each
W=512 window. NIST cutoff: 310.

| | Observed | Theoretical |
|---|---|---|
| n verdicts | 9220 | – |
| n pass | 9220 | – |
| n fail | 0 | – |
| count mean | 256.49 | 256.00 |
| count std | 11.16 | 11.31 |


![APT count distribution vs Bin(W, 0.5)](plots/apt_distribution.png)



**RCT failures logged:** 4



---

## E · Battery history (L3)



20 runs from 2026-05-07T22:45:52Z to 2026-05-17T18:28:20Z.
**17 pass / 3 fail.** Current pass-streak: **1**.

| Metric | Value |
|---|---|
| ent mean | 7.9970 bits/byte |
| ent range | 7.9965 – 7.9977 |
| Rabbit pass-rate | 90.00% |
| Alphabit pass-rate | 95.00% |


![Daily battery history](plots/battery_history.png)


**Recent runs:**

| ts | ent | chi% | rabbit | alphabit | failures |
|---|---|---|---|---|---|
| 2026-05-15T02:02:12Z | 7.9970 | 26.30 | 1 | 1 | 0 |
| 2026-05-16T02:01:17Z | 7.9970 | 20.14 | 1 | 1 | 0 |
| 2026-04-30T22:49:07Z | 7.9966 | 1.93 | 0 | 0 | 2 |
| 2026-05-17T04:53:10Z | 7.9967 | 2.58 | 0 | 1 | 1 |
| 2026-05-17T18:28:20Z | 7.9975 | 86.11 | 1 | 1 | 0 |




---

## F · NIST SP 800-22 STS subset



A subset of the NIST SP 800-22 Statistical Test Suite, computed
directly from the loaded bit window (524,288
bits). The decision rule is **pass if p ≥ α**, with α = 0.01
(the canonical NIST threshold).

**Summary:** 4 pass / 0 fail.
**Overall: PASS.**

| Test | p-value | Verdict | Detail |
|---|---|---|---|
| Frequency (monobit) | 0.5959 | pass | S_n = 384 |
| Block Frequency | 0.6806 | pass | M=128, N=4096, χ²=4053.00 |
| Runs | 0.1330 | pass | V_n = 261600 (expected 262144) |
| Longest Run of 1s | 0.6283 | pass | M=128, N=49, χ²=3.47 |


![NIST STS subset p-values](plots/nist_pvalues.png)

*([interactive HTML](plots/nist_pvalues.html))*


The four tests cover progressively finer structure:
- **Frequency** — global 0/1 balance.
- **Block Frequency** — per-block balance (catches local drift).
- **Runs** — bit-flip frequency vs the random expectation.
- **Longest Run of 1s** — local clustering, sensitive to dead-time
  artefacts the others miss.

With our default 64 KB load (≈ 524 K bits), Longest Run runs in the
NIST M=128 / N=49 regime. To activate the larger M=10,000 / N=75
regime, run an ad-hoc analysis with `--bits-window-bytes 131072`
(≥ 1 M bits) once `bits_stream.bin` is big enough.



---

## Notes

- Static PNGs in `plots/` (rendered inline above) are produced via matplotlib.
- Interactive Plotly charts live alongside as `plots/*.html` (linked under
  Section A/B; for Section C/D/E open them directly from a clone).
- Source data slices used for this run are in `raw/` (if `keep_raw=True`).
- Numeric values are also available machine-readable in `stats.json`.
- This report is generated by `analysis/runner.py` v1.0.0.