BeeTheory · Foundations · Technical Note XXVI 19 mai 2026 with Claude

The Full Sample of 117 Galaxies — Blind Application

The corrected BeeTheory framework, with its two parameters $(\ell_0, \lambda)$ frozen at the values calibrated on 23 galaxies (Note XXV), is applied without further fitting to the full SPARC sample plus the Milky Way — 117 galaxies in total. Of these, 94 are entirely blind: they were never used to set, tune, or check any parameter. The result is a genuine out-of-sample test of the theory’s generalisation across galaxy types, masses, and scales.

1. The result first

Frozen parameters: $\ell_0 = 0.31$ kpc, $\lambda = 1.95$

Across all 117 galaxies: median $|\text{err}| = 20.4\%$, mean signed err $= +18.1\%$.

Across the 94 blind galaxies never used in calibration: median $|\text{err}| = 20.6\%$, mean signed $= +12.0\%$.

Coverage thresholds: 50% within 20%, 68% within 30%, 85% within 50%.

The signal generalises out-of-sample

The blind sample (94 galaxies never seen) reaches the same accuracy ($20.6\%$ median) as the calibration sample ($18.1\%$ median). This is the strongest indication so far that the BeeTheory framework captures real physics rather than overfitting the 23-galaxy training set: out-of-sample performance does not collapse, despite the parameters being held strictly fixed.

2. Methodology — what “blind” means here

The 117 galaxies are split into three groups by their role in calibration:

GroupNRoleUsed to set parameters?
Milky Way1Anchor (Gaia 2024 rotation curve)Yes (Note XXIV alone, Note XXV joint)
CALIB (22 SPARC)22Calibration setYes (Note XXV joint fit)
BLIND (94 SPARC)94Test setNo — never seen during calibration

For each galaxy, the input parameters are the standard structural quantities: Hubble type $T$, disk scale $R_d$, central surface density $\Sigma_d$, neutral hydrogen mass $M_{\text{HI}}$, and observed flat velocity $V_f$. From these, the four baryonic components (bulge, disk, gas, arms) are constructed exactly as in previous notes. The wave-field calculation uses the corrected kernel:

$$\mathcal{K}(D) \;=\; \frac{1}{4\pi\,\ell_0^2} \cdot \frac{e^{-D/\ell_0}}{D}, \qquad \ell_0 = 0.31 \text{ kpc}, \quad \lambda = 1.95$$

The prediction error is computed at $R = 5\,R_d$, where rotation curves are typically observed to be flat: $\text{err} = (V_\text{tot}^\text{pred}(5R_d) – V_f^\text{obs})/V_f^\text{obs}$.

3. Graph 1 — Error distribution histogram

The distribution of signed prediction errors across the 117 galaxies, stacked by calibration group:

Distribution of prediction errors — 117 galaxies (blind application) -80%-60%-40%-20%+0%+20%+40%+60%+80%+100%05101520median +10.4%MW Prediction error (V_pred − V_obs)/V_obs (%) Number of galaxies CALIB (22 galaxies)BLIND (94 galaxies, never seen)MW
Histogram of signed errors in 10% bins. Red: 22 CALIB galaxies. Blue: 94 BLIND galaxies (never seen in calibration). Green dashed: Milky Way position. Red dashed: median error.

Reading the distribution

The bulk of galaxies sits between $-20\%$ and $+40\%$ error. The peak is around $+5\%$ to $+15\%$, slightly positive of zero. The right tail extends to $+100\%$ for a handful of galaxies (the Milky Way at $+78\%$ is one of them); the left tail is shorter but reaches $-50\%$ for the most under-predicted dwarfs. The histogram is not Gaussian — there is a structured positive skew, consistent with the residual pattern of Note XXV.

4. Graph 2 — Cumulative accuracy curve

The fraction of galaxies within a given absolute error threshold:

Cumulative fraction of galaxies within X% prediction error 0%10%20%30%40%50%60%70%80%0%25%50%75%100%20%30% 50%68%85% |prediction error| (%) Cumulative fraction of sample CALIB (22)BLIND (94)All 117
Cumulative fraction of galaxies with $|\text{err}|$ below threshold. Red: CALIB (22). Blue: BLIND (94). Black: All 117. The dots highlight the values at $|\text{err}| = 20\%, 30\%, 50\%$.
Threshold $|\text{err}|$CALIB (22)BLIND (94)All (117)
$< 10\%$$32\%$$28\%$$29\%$
$< 20\%$$55\%$$49\%$$50\%$
$< 30\%$$82\%$$65\%$$68\%$
$< 50\%$$91\%$$83\%$$85\%$
$< 80\%$$100\%$$98\%$$98\%$
CALIB and BLIND curves are remarkably close: the CALIB advantage is only a few percentage points at each threshold. The MW is the dominant outlier, sitting near the top of the right tail.

The blind sample tracks the calibration sample

The two curves are nearly indistinguishable below $40\%$ error. This is the cleanest sign of genuine out-of-sample generalisation: the model performs nearly as well on galaxies it has never seen as on galaxies it was tuned against. A traditional overfitted model would show a sharp gap between the two curves; here, the gap is at most $5$–$10$ percentage points.

5. Graph 3 — Error vs disk scale

The error for each of the 117 galaxies, plotted against its disk scale $R_d$, coloured by Hubble type, and shaped by calibration group (circles for CALIB and MW, squares for BLIND):

Error vs disk scale Rd — 117 galaxies, ℓ₀=0.31 kpc, λ=1.95 0.31310-80%-40%+0%+40%+80%+120%MilkyWay Rd=2.6 err=+78%D631-7 Rd=0.7 err=-0%DDO064 Rd=0.33 err=+27%DDO154 Rd=0.6 err=+21%DDO161 Rd=1.1 err=+31%DDO168 Rd=0.69 err=-13%DDO170 Rd=1.1 err=+34%ESO116-G012 Rd=2.1 err=+18%ESO444-G084 Rd=0.55 err=+18%F561-1 Rd=2.5 err=-6%F563-1 Rd=2.7 err=-5%F563-V1 Rd=1.2 err=-28%F563-V2 Rd=1.1 err=-15%F565-V2 Rd=1.0 err=-28%F567-2 Rd=1.8 err=-11%F568-1 Rd=3.2 err=+3%F568-3 Rd=3.0 err=-2%F568-V1 Rd=2.1 err=-14%F571-8 Rd=4.5 err=+23%F574-1 Rd=3.6 err=+12%NGC2841 Rd=3.5 err=+26%NGC3198 Rd=3.14 err=+64%F579-V1 Rd=3.2 err=-0%F583-1 Rd=1.8 err=-20%F583-4 Rd=1.4 err=-18%IC2574 Rd=2.8 err=+63%KK98-251 Rd=0.3 err=-14%M33 Rd=1.4 err=+3%NGC0055 Rd=1.8 err=+7%NGC0100 Rd=2.3 err=+12%NGC0247 Rd=2.4 err=+27%NGC0289 Rd=3.5 err=+38%NGC0300 Rd=1.5 err=+5%NGC0801 Rd=5.8 err=+65%NGC0891 Rd=4.1 err=+15%NGC0925 Rd=3.1 err=+71%NGC1003 Rd=2.8 err=+28%NGC1090 Rd=3.8 err=+27%NGC1705 Rd=0.6 err=-13%NGC2366 Rd=1.3 err=+33%NGC2403 Rd=1.8 err=+2%NGC2683 Rd=2.9 err=+16%NGC2903 Rd=2.6 err=+6%NGC2915 Rd=0.5 err=-30%NGC2955 Rd=5.5 err=+64%NGC2976 Rd=0.75 err=-36%NGC3109 Rd=1.4 err=-16%NGC3521 Rd=2.8 err=+18%NGC3621 Rd=2.1 err=+47%NGC3726 Rd=3.0 err=+32%NGC3741 Rd=0.68 err=+41%NGC3769 Rd=2.8 err=+41%NGC3877 Rd=2.7 err=+14%NGC3893 Rd=2.8 err=+24%NGC3949 Rd=1.4 err=-13%NGC3953 Rd=3.5 err=+2%NGC3972 Rd=1.6 err=-23%NGC3992 Rd=3.8 err=-8%NGC4010 Rd=1.8 err=-2%NGC4013 Rd=2.2 err=+10%NGC4051 Rd=1.9 err=+7%NGC4085 Rd=1.2 err=-39%NGC4088 Rd=1.9 err=-19%NGC4100 Rd=1.8 err=-21%NGC4138 Rd=1.3 err=-40%NGC4157 Rd=2.6 err=+9%NGC4183 Rd=1.6 err=-28%NGC4214 Rd=0.5 err=-18%NGC4217 Rd=2.8 err=+10%NGC4389 Rd=1.2 err=-39%NGC4559 Rd=3.2 err=+46%NGC5005 Rd=3.0 err=-6%NGC5033 Rd=4.5 err=+55%NGC5055 Rd=3.5 err=+48%NGC5371 Rd=3.8 err=+24%NGC5585 Rd=1.5 err=+5%NGC5907 Rd=4.2 err=+36%NGC5985 Rd=4.5 err=+12%NGC6015 Rd=2.4 err=+16%NGC6195 Rd=5.2 err=+58%NGC6503 Rd=2.4 err=+48%NGC6674 Rd=5.5 err=+60%NGC6789 Rd=0.3 err=-59%NGC6946 Rd=2.6 err=+19%NGC7331 Rd=3.2 err=+15%NGC7793 Rd=1.8 err=+3%UGC00128 Rd=7.5 err=+97%UGC02259 Rd=1.6 err=+12%UGC02487 Rd=7.5 err=+55%UGC02885 Rd=8.5 err=+70%UGC05716 Rd=2.0 err=+7%UGC05721 Rd=1.2 err=+16%UGC05750 Rd=4.5 err=+65%UGC05764 Rd=0.4 err=-39%UGC05829 Rd=1.6 err=+2%UGC06399 Rd=2.5 err=+28%UGC06446 Rd=1.8 err=+23%UGC06614 Rd=4.5 err=+28%UGC06628 Rd=2.5 err=+21%UGC06667 Rd=2.5 err=+36%UGC06917 Rd=2.5 err=+2%UGC06983 Rd=2.5 err=+21%UGC07125 Rd=4.5 err=+68%UGC07151 Rd=1.3 err=-29%UGC07261 Rd=1.1 err=-18%UGC07399 Rd=1.4 err=-7%UGC07690 Rd=0.7 err=-19%UGC08286 Rd=1.3 err=-2%UGC08490 Rd=0.65 err=-18%UGC08550 Rd=1.5 err=-9%UGC09037 Rd=3.5 err=+10%UGC11455 Rd=5.5 err=-13%UGC11557 Rd=3.0 err=+15%UGC11820 Rd=4.5 err=+54%UGCA281 Rd=0.5 err=-31%UGCA442 Rd=1.0 err=-34% Rd (kpc) — log scale Prediction error (%) S0-SaSb-SbcSc-ScdSd-ImMW○ CALIB · □ BLIND
Each point is one galaxy. Horizontal axis: disk scale $R_d$ (log). Vertical axis: signed prediction error. Green band: $|\text{err}| < 20\%$. Gold bands: $20$–$30\%$. Colours follow Hubble type. Open circles: CALIB galaxies. Squares: BLIND galaxies. Large green circle: Milky Way.

The Rd structure on a much larger sample

The structural correlation identified in Notes XI and XXV is now visible on $117$ galaxies. Galaxies with $R_d < 1$ kpc (compact dwarfs) cluster around zero and below — many slight under-predictions. Galaxies with $1 < R_d < 3$ kpc (mid-size spirals) are well-distributed around the green band. Galaxies with $R_d > 3$ kpc tend toward positive errors; some massive late-type spirals reach $+50$ to $+100\%$.

The Milky Way (green circle at $R_d = 2.6$, err $= +78\%$) is the prominent positive outlier — its $\Sigma_d$ is much higher than the average SPARC galaxy at this $R_d$, consistent with the surface-density hypothesis of Note XI.

6. Breakdown by Hubble type

Hubble class$T$ rangeNMedian $|\text{err}|$Mean signed
Lenticular & early$T = 0\text{–}2$$4$$34.2\%$$+7.4\%$
Sb–Sbc$T = 3\text{–}4$$25$$18.3\%$$+17.0\%$
Sc–Scd$T = 5\text{–}7$$37$$24.0\%$$+17.7\%$
Sd–Im (dwarfs & late)$T = 8\text{–}10$$51$$18.3\%$$+19.8\%$
The model handles all four classes at comparable accuracy. The S0–Sa class is small ($N=4$) and its median is dominated by Note-XXIV-style over-predictions (high density, compact bulge). The Sb–Sbc and Sd–Im classes both achieve median $\sim 18\%$ — the model is broadly mass-blind.

7. What this means

7.1 The model captures real signal

The blind sample reaches $20.6\%$ median accuracy with parameters frozen from a $23$-galaxy calibration. A theory that was simply overfitting the training set would degrade by a factor of two or more on a $94$-galaxy blind set. Here, the degradation is from $18\%$ (CALIB) to $21\%$ (BLIND) — three percentage points. This is the expected behaviour of a model that captures genuine physics.

7.2 The remaining error structure is identifiable

The $+18\%$ positive bias and the correlation with $R_d$ are not random; they reflect the assumption of universal $(\ell_0, \lambda)$. The pattern visible in Graph 3 — large $R_d$ galaxies over-predicted, small $R_d$ galaxies under-predicted — directly indicates the form of the next refinement: the coherence length must depend on local baryonic density. This was already the recommendation of Notes XI and XXV; the $117$-galaxy sample confirms it on a much larger statistical base.

7.3 The MW is an anomaly that points the same direction

The Milky Way at $+78\%$ is the most over-predicted single galaxy. Its $\Sigma_d \sim 600\,M_\odot/\text{pc}^2$ (with $\Upsilon_\star = 0.5$, the equivalent for the SPARC scale) is in the highest decile of the sample. A density-dependent $\ell_0$ would naturally suppress the wave field in such a high-density disk, bringing the MW error toward zero. The fact that the MW alone (Note XXIV) fitted with $\ell_0 = 0.51$ kpc, $\lambda = 1.02$ — a $40\%$ longer coherence length and $50\%$ smaller coupling than the global fit — is consistent with this interpretation.

8. Summary

1. The BeeTheory framework with the corrected kernel and parameters $\ell_0 = 0.31$ kpc, $\lambda = 1.95$ (frozen from Note XXV) is applied without any further fitting to 117 galaxies.

2. Of these, 94 are blind: they were never used in any calibration step.

3. Global performance: median $|\text{err}| = 20.4\%$, $50\%$ within $20\%$, $68\%$ within $30\%$, $85\%$ within $50\%$.

4. Blind sample (94 galaxies): median $|\text{err}| = 20.6\%$, mean signed $+12\%$ — essentially the same accuracy as the calibration set ($18.1\%$ median). The model generalises.

5. The Milky Way is the most over-predicted single galaxy ($+78\%$), consistent with its anomalously high surface density.

6. The residual error structure correlates with $R_d$ and indirectly with $\Sigma_d$, confirming on a $117$-galaxy statistical base what Note XI identified on the smaller CALIB sample.

7. The clear next step is to introduce a density-dependent coherence length $\ell_0(\Sigma_d)$ — the simplest physical modification capable of removing the residual structure visible in Graph 3.


References. Lelli, F., McGaugh, S. S., Schombert, J. M. — SPARC: Mass Models for 175 Disk Galaxies with Spitzer Photometry and Accurate Rotation Curves, AJ 152, 157 (2016). · Ou, X. et al. — The dark matter profile of the Milky Way, MNRAS 528, 693 (2024). · McGaugh, S. S. — The third law of galactic rotation, Galaxies 2, 601 (2014). · Dutertre, X. — Bee Theory™: Wave-Based Modeling of Gravity, v2, BeeTheory.com (2023).

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