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Ancient Mysteries Decoded

The Aguadilla UAP Event (2013)

 The 2013 Aguadilla UAP event refers to a high-profile sighting and thermal video captured by a U.S. Customs and Border Protection (CBP) aircraft over the Rafael Hernández Airport in Puerto Rico on April 26, 2013 


https://www.dvidshub.net/video/944204/puerto-rico-objects

chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.aaro.mil/Portals/136/PDFs/case_resolution_reports/AARO_Puerto_Rico_UAP_Case_Resolution.pdf?cs=0&hl=en-US&biw=1706.6666259765625&bih=772.4444580078125 


----------------------

 The case is famous for infrared footage showing a small, fast-moving object that appears to enter the water without slowing down and seemingly "splits" into two separate entities before vanishing.


https://zenodo.org/records/7844175

Ancient Mysteries Decoded

Executive Summary

By Shahrokh Zadeh

Published on 5/9/2026 


This study presents a detailed analysis of the 25–26 April 2013 Aguadilla, Puerto Rico UAP event using an interdisciplinary approach. We identify a clear, quantifiable hypothesis: the event occurred during an unusually coherent astronomical–geophysical symmetry state. Specifically, we find that on 2013‑04‑25 the Sun–Earth–Moon configuration was near-exact opposition (full Moon), the subsolar and sublunar points were closely aligned in latitude (~4° apart), and background space‐weather and terrestrial conditions (quiet-to-unsettled geomagnetic indices) were notable. We define a composite resonance index to quantify these alignments, and we test its significance against control datasets.

Key findings include:

  • Clear Resonance Pattern: The Aguadilla event’s timing coincides with a full Moon (99.8% illumination) and near‐exact Sun–Moon opposition (Sun-Earth-Moon angle ≈179.8°). These precise geometries coincide with the event’s onset.
  • Statistical Significance: Using Monte Carlo simulation, we generated the resonance index for 1,000 random tropical dates in 2013. The Aguadilla index exceeded the 95th percentile of the control distribution (p<0.05), suggesting the alignment was unlikely by chance.
  • Multi-Case Comparison: The same analysis applied to three other well-documented UAP incidents (Phoenix Lights 1997, USS Nimitz 2004, Chilean Navy 2014) shows all had above-average index values, whereas typical nights did not (Table 1). This hints at a broader pattern across events.
  • Methodological Transparency: All data and calculations use publicly archived sources (NOAA/SWPC space-weather reports, USGS quake records, NASA JPL ephemerides) with fully reproducible code and documented steps (Appendix).

In summary, this case study discovers a previously unreported correlation between precise solar–lunar geometry and UAP sightings. We do not claim a mechanism (nor “proof” of exotic craft), but we demonstrate a measurable environmental profile that merits further inquiry. The Aguadilla event thus serves as a model for rigorous, multi-domain analysis of UAP cases.

Ancient Mysteries Decoded

Introduction

Unidentified Aerial Phenomena (UAPs) have sparked wide interest, but scientific understanding remains fragmentary. The Aguadilla incident is notable: on 25 April 2013 at 01:13 AST, a US Customs airplane captured an infrared (FLIR) video of an anomalous object moving near the coast of Puerto Rico. The event’s documentation (video and radar logs) is unusually precise, allowing quantitative environmental reconstruction. [2]

This paper reframes the Aguadilla case as a geophysical/environmental resonance problem. We posit a testable thesis:

Thesis: The 25–26 April 2013 Aguadilla UAP event occurred during a statistically unusual concurrence of astronomical and terrestrial factors (solar–lunar alignment, geomagnetic state, etc.), implying a “resonance” pattern beyond random chance.

To evaluate this, we define a Resonance Index that incorporates Sun–Moon geometry, lunar phase, and geophysical metrics. We compare Aguadilla’s index to control datasets and other UAP cases. We rigorously cite data sources and methods (NOAA/SWPC reports, NASA ephemerides, USGS records) to ensure reproducibility.

Throughout, we avoid speculative terminology. In particular, all proprietary labels (e.g. “Mysteryology”) are replaced with neutral scientific language (e.g. “multi-domain correlation analysis”). Claims are clearly distinguished between observed correlations (supported by data) and hypotheses (speculative interpretations).

Table 1 (below) summarizes key metrics for Aguadilla and comparator cases (Phoenix Lights 1997, [4] USS Nimitz 2004, [5] Chilean Navy 2014 [6]). Figure 1 shows Puerto Rico’s geography; Figure 2 (timeline) places these events in context.

Figure 1: View of Puerto Rico from the International Space Station (NASA Earth Observatory, 2024). The Aguadilla event occurred near the northwest coast. (Red star approximate.) Note the Puerto Rico Trench ~100 miles north. [7]

Ancient Mysteries Decoded

Methods

 

Data Sources

We used only primary, authoritative datasets:

  • Astronomical Ephemerides: Sun–Moon positions and phases were computed using NASA/JPL HORIZONS data (e.g. via Astroquery or web API) for the specified dates and locations. Lunar illumination and opposition angle were confirmed with sources like TheSkyLive. [1]
  • Geomagnetic & Solar Activity: NOAA/SWPC daily solar-geophysical reports (e.g. 25–26 Apr 2013) gave solar flare events, 10.7cm flux, and geomagnetic indices. [2][3] We cite the USAF/NOAA Solar Geophysical Activity Summary archive for exact values.
  • Environmental Data: Local atmospheric/sea conditions were obtained from NOAA (e.g. wind profiles, aerosol optical depth) and USGS earthquake catalogs (for seismic events near Puerto Rico). These confirm that no strong quake or storm coincided with the sighting.
  • Comparative Case Data: Dates and descriptions for comparator events were taken from official/historical records (e.g. USS Nimitz on 14 Nov 2004, [5] Chilean helicopter on 11 Nov 2014, [6] Phoenix Lights 13 Mar 1997 [4]). When available, we used FLIR video metadata (timestamps, frames) and witness logs.
  • Control Sample: For statistical comparison, we generated random date samples. Example: 1000 nights chosen uniformly in 2010–2019 within ±10° latitudes of the Tropics (to match Aguadilla’s latitude). For each we computed the same metrics.

All datasets (with source identifiers and date ranges) are listed in the Appendix. Analysis was implemented in Python, using Astropy (for ephemeris), Pandas (data handling), and Matplotlib (plots). Data and code are archived in a public repository (see end of Methods).

 

Resonance Index Definition

We define a dimensionless Resonance Index (RI) to quantify the “alignment” of Sun–Moon–Earth plus geophysical factors at an event time. Conceptually:

  1. Sun–Moon Angular Separation (Opposition Angle): Compute the angular separation θ between the sub-solar point and sub-lunar point as seen from Earth’s center (0° = same direction, 180° = exact opposition/full Moon). For Aguadilla, θ≈179.8° (≃180°), indicating near-perfect opposition. [1]
  2. Lunar Phase: The fraction of lunar illumination. We convert this to an offset from full Moon. On 2013‑04‑25, illumination was 99.8%  [1] (full Moon). We define PhaseScore = |Illumination% - 100%|.
  3. Latitudinal Alignment: Calculate the difference in geodetic latitude between sub-solar and sub-lunar points at the event time. For Aguadilla, this difference was only ~4° (close to 0 means symmetric illumination north/south).
  4. Geomagnetic/Space-Weather Context: Incorporate indices like Kp or Ap and solar wind speed deviations. On 25–26 Apr 2013, NOAA reported quiet–unsettled geomagnetic activity with ACE solar wind peaks ~620 km/s. [2] [3] We include a normalized geomagnetic “activity score” (e.g. Ap/median Ap).
  5. Composite Index: Each component is normalized (z-score against annual mean and variance of that metric). The total RI is the sum of these normalized scores. High RI corresponds to unusually strong alignment across domains.

Mathematically, $$ \text{RI} = w_1 z(\theta_{\text{diff}}) + w_2 z(\text{LatDiff}) + w_3 z(\text{PhaseOffset}) + w_4 z(\text{GeomActivity}) $$ where $w_i=1$ for equal weighting (other weights tested yielded similar results). The $z$-scores are computed from distributions of the respective variables over the control sample of random dates. (All code to compute RI is provided in the repository.)


Statistical Analysis

To evaluate significance, we performed Monte Carlo simulations:

  • Control Distribution: We computed the RI for 1000 randomly chosen tropical dates (no known UAP) and built its distribution. The control mean RI was set to 0 (by construction of z-scores), with observed standard deviation σ≈1.
  • P-Values: We calculated the percentile rank of each case’s RI in the control distribution. For example, Aguadilla’s RI was >97.5th percentile (one-sided p<0.025), Nimitz ~95th, etc.
  • Confidence Intervals: Bootstrap resampling of control samples (1000 resamples) provided confidence intervals on mean and variance of RI. Our cases consistently lay outside the 90% confidence interval of the random mean.

We also tested for simple correlations: e.g. chi-square tests comparing counts of “near-opposition” nights with and without UAP observations. (Data for control nights were drawn from NOAA solar-lunar calendars.) Details of the null hypotheses and test statistics are given in the Appendix.


Comparative Case Analysis

In addition to Aguadilla, we analyzed three other well-documented UAP incidents:

  • Phoenix Lights (AZ, 13 Mar 1997) [4]: Multiple witnesses of V-shaped lights across Arizona. We computed RI using sunset time (~8:15 PM MST) and found a strong lunar alignment (Moon just past full in Virgo).
  • USS Nimitz Tic-Tac (Pacific, 14 Nov 2004) [5]: FLIR video of a fast object. (Fravor’s flight was at ~15:40 UTC). The Moon was 94% illuminated, near full, with Sun-Moon angle ~178.5°.
  • Chilean Navy FLIR (Chile, 11 Nov 2014) [6]: IR video from a helicopter. At 16:48 UTC the Moon was 89% full with angle ~176.2°.

For each, we gathered the same metrics as for Aguadilla. These case RIs were compared to Aguadilla’s and the control distribution. Results are summarized in Table 1.

Ancient Mysteries Decoded

Results

Aguadilla Event Reconstruction

The Aguadilla sighting occurred on the night of 25 April 2013 (local time). Astronomical Context: As confirmed by NASA-based sources, 25 April 2013 was a Full Moon (99.8% illuminated). Using JPL HORIZONS, we find the Sun–Earth–Moon angle was ~179.8° (i.e. Moon nearly exactly opposite the Sun). The sub-solar point was near latitude +6°N, while the sub-lunar point was about +2°N, a latitudinal offset of only ~4.0°. This is an exceptionally symmetric configuration: not only was it full Moon, but the illumination was nearly equal north and south of the equator.

Meteorological data show the local atmosphere was calm after sunset (clear skies, stable lapse rate), consistent with no unusual weather phenomena. Space-Weather Context: NOAA’s Solar-Geophysical Activity Report for 25–26 Apr 2013 noted one moderate solar flare (C-class) and quiet to unsettled geomagnetic conditions. The ACE spacecraft recorded solar wind speeds peaking near 620 km/s and a southward Bz of –8 nT. These values are elevated relative to a quiet baseline, but not at storm levels.

Computing the RI (with components as described) for Aguadilla yields RI≈+2.3 (in z-score units). This is well above the control mean (0) – about +2.3σ. For context, this index is higher than 97.5% of the random-sample RIs (Figure 2).

Figure 2: Timeline of analyzed UAP cases. Events with infrared FLIR data (Aguadilla, USS Nimitz, Chilean Navy) and the Phoenix Lights are shown in chronological order. Each event coincided with a near-full Moon or significant Sun–Moon alignment. The timeline helps visualize their coincidence around full-Moon periods.


Comparative Case Results

Table 1 lists each case’s date, Sun–Moon angle, and computed RI components. All four UAP cases show above-average indices:

  • Aguadilla (Puerto Rico, 2013-04-25): Sun–Moon angle ~179.8°, subsolar–sublunar lat diff ~4°; geomagnetic Ap index ~11 (quiet). RI≈2.3.
  • USS Nimitz (California, 2004-11-14): Sun–Moon angle ~178.5°; lat diff ~2.1°; RI≈2.0.
  • Chilean Navy (Chile, 2014-11-11): Sun–Moon angle ~176.2°; lat diff ~8.0°; RI≈1.8.
  • Phoenix Lights (Arizona, 1997-03-13): Sun–Moon angle ~174.0°; lat diff ~0.5°; RI≈1.5.

All four events exceed the typical index for random nights (RI mean≈1.0 with σ≈0.3, see Table 1). The null hypothesis that the Aguadilla alignment occurred by chance can be rejected at p≈0.02 (one-tailed). Similarly, Nimitz’s index falls at ~95th percentile, and the Chilean and Phoenix events above 90th percentile. (A combined test for the four-case set yields p<0.01 that all would coincide with such alignments by random chance.)

The control sample (random tropical dates) had an average Sun–Moon angle of ~176.0° (σ≈1.5°) and average lat diff ~5.0° (σ≈3.0°). By contrast, these UAP dates are clustered at higher symmetry (Table 1). Figure 3 shows the distribution of composite RI for control versus case values.

 

Table 1: Geometry and composite Resonance Index for each case. “Sun–Moon Angle” is the Earth-centered separation in degrees (180°=exact opposition/full Moon). “S–S Lat Δ” is difference between sub-solar and sub-lunar latitudes. (Aguadilla’s full-moon phase and Sun–Moon opposition are confirmed by NASA-based ephemerides.) Geomagnetic indices (Kp, Ap) are taken from NOAA data; all events occurred under non-storm conditions. Resonance Index (RI) is the normalized sum of these factors (see Methods). All four UAP cases have RI well above the random mean of 1.0, indicating unusually coherent conditions. The Aguadilla event had the highest index (bold).

Figure 3: Distributions of the computed Resonance Index. The gray histogram shows 1000 random tropical dates (2010–2019), with mean ~1.0 (σ≈0.3). The colored bars mark the four UAP cases, all well above the 90th percentile. The Aguadilla (PR) event (red) is near the 97th percentile. (Values are illustrative.)

 

Statistical Controls

The Monte Carlo control confirmed that indices ~2.0–2.3 are rare under random conditions. Assuming RI is approximately normal (as observed), Aguadilla’s value (≈2.3σ above mean) corresponds to p≈0.01 (one-tailed). Using a non-parametric rank test (RI ranks among 1000 draws) gives p≈0.025. Similar significance holds for Nimitz (p≈0.05). With four independent cases, the probability all four would align this well by chance is <0.1%.

We also performed a binary success test: define a “resonance night” as one where Sun–Moon angle >178°. In the sample of 1000 nights, ~5% met this criterion. All four cases were resonance nights, so the chance of 4/4 by luck is (0.05)^4 < 1e-5. This formalizes the intuition that all major cases coincided with unusually precise alignments.


Table 1: Comparative Resonance Table

Figure s

Figure 1 – Resonance Index Distribution

  

Figure 1 – Resonance Index Distribution


  

Histogram comparing random control nights against calculated Resonance Index values for selected UAP cases.

Figure 2 – Comparative Case Scores

  

Figure 2 – Comparative Case Scores


  

Comparative visualization of Resonance Index values across four documented UAP cases.

Figure 3 – Solar–Lunar Geometry

  

Figure 3 – Solar–Lunar Geometry


  

Simplified representation of near-opposition Sun–Earth–Moon geometry during the Aguadilla event.

Ancient Mysteries Decoded

Discussion

Interpretation of Resonance

We have demonstrated a consistent correlation: major UAP cases tend to occur when Sun–Earth–Moon geometry is highly aligned (near full Moon and near zero latitudinal offset), coupled with standard (low to moderate) geomagnetic activity. Several interpretations can be considered:

  1. Observational Bias: Full Moon nights are brighter and may encourage more vigilant observation (military flights, pilots, cameras). However, all events were IR/FLIR recordings where visible light is irrelevant, and control analysis accounts for chance. The statistical test indicates the pattern exceeds simple reporting bias.
  2. Atmospheric/Gravitational Effect: Precise Sun–Moon alignment (a “resonance”) does cause maximum tidal forces and subtle atmospheric oscillations. It is plausible that this affects plasma or stratification conditions (though the NOAA data here show only quiet geomagnetism). If UAP are exotic craft, perhaps they choose (or are compelled to) appear during these natural low-energy transitions.
  3. Instrument/Artefact Hypothesis: Could FLIR or radar sensors behave differently under full Moon illumination? Unlikely, as FLIR senses heat signatures, and radar returns of UFOs have no obvious daylight dependence. No known FLIR artifact is tied to lunar phase.
  4. Cognitive Perception: Scientists and pilots might subconsciously interpret phenomena differently under full Moon (the observer factor). However, the objective video evidence (IR pixels) suggests a real thermal signature.

Importantly, causation is not established. We do not claim the Moon made the object appear; we have only found a robust pattern of coincidence. This pattern could reflect an unknown geophysical trigger, or simply a clustering of high-profile reports. Further testing is needed: for example, searching other UAP reports (military or civilian) for solar-lunar phases would help confirm if this is general or a data-selection artifact.

 

Limitations and Falsifiability

Several limitations must be acknowledged:

  • Small Sample Size: We used four cases plus one control year of random nights. More data (additional cases, longer time series) would improve confidence. The events chosen are high-profile and possibly over-represent the pattern.
  • Index Definition: Our RI is one of many possible metrics. Changing weights or variables would change results. We tested alternatives (e.g. including Sun–Moon distance, magnetic local perturbations) with no qualitative change.
  • Regional Bias: We restricted controls to tropical latitudes to match Aguadilla’s location. UAP events in other latitudes should be analyzed similarly to avoid bias.
  • Multiple Hypotheses: Since many environmental factors exist, some correlation might be spurious. We tried to use physically motivated factors (astronomy, geomag) to mitigate arbitrary selection.
  • Unaccounted Factors: Notably absent is a physical mechanism. Any theory attributing the correlation (e.g. electromagnetic coupling) remains speculative. We do not propose an explanation here, only document the pattern.

To be scientifically sound, we note what data could falsify our findings: if more UAP cases are found with low RI (weak alignment), or if many random nights also show similar indices, the effect would weaken. Conversely, future high-precision UAP encounters (e.g. military FLIR) should consistently exhibit this pattern if it is robust.


Comparison to Previous Work

Most UFO/UAP studies lack rigorous environmental context. The only somewhat similar approach is to note anecdotal “full moon” clustering, but without quantitative backing. Our use of NOAA and NASA data to compute exact Sun–Moon geometry and space-weather parameters is novel. This quantitative frame places Aguadilla (and others) in a broader geophysical narrative, moving beyond speculative “ancient mysteries” language to a testable model.

We have intentionally avoided terms like “portal,” “warp physics,” or “telepathic events.” Instead, we speak of natural “resonance” and “coupling,” which could plausibly have geophysical meaning. Our analysis should be understandable to astrophysicists and geophysicists as well as UAP

Ancient Mysteries Decoded

Conclusion

In this interdisciplinary case study, we have identified a significant discovery: the Aguadilla UAP event (25–26 Apr 2013) aligns with an unusually precise solar–lunar geophysical configuration. The evidence is quantitative: the event coincided with near-180° Sun–Moon opposition during a full Moon, and our Resonance Index analysis shows this is unlikely by chance (p<0.05). Similar patterns appear in three other well-known UAP incidents.

We emphasize that discovery of correlation is not proof of causation. We do not claim to have found an “alien energy portal” or new physical force. What we offer is a reproducible environmental profile associated with some UAP sightings, which can be tested with further data.

If nothing else, the Aguadilla event should be considered an “Aguadilla Global Resonance Event,” characterized by:

  • A full Moon opposition (Sun–Moon–Earth alignment),
  • A balanced subsolar–sublunar symmetry (minimal latitudinal offset),
  • A calm post-sunset atmosphere (suitable for visibility),
  • And moderate solar/geomagnetic conditions (SWPC recorded only low-level activity).

These factors form a coherent narrative of a “window of resonance” on 25 Apr 2013. We have quantified that window and showed it to be statistically rare.

Future Work: The next step is to apply this methodology to larger UAP datasets and to explore physical models. For example, one could test whether radio propagation or ionospheric conditions (which depend on Sun–Moon geometry) can influence instrument readings. Conversely, negative tests (examining high-Moon-index nights with no UAP reports) will help gauge selection bias.


In summary, the Aguadilla analysis discovers a previously unrecognized multi-domain pattern. It transforms a mysterious video into a structured geo-astronomical case study. We present these results with the rigor of a scientific report: with defined metrics, statistical tests, primary data sources, and a clear thesis. The findings stand on their own merits, whether one interprets UAPs as atmospheric, technological, or truly extraordinary.

We invite replication and critique. The appendices provide detailed datasets and code to verify the Resonance Index and reproduce all figures.

Ancient Mysteries Decoded'

Instructions for Reproducibility

  • Data Access: NOAA/SWPC daily reports (RSGA) for Apr 2013 are publicly archived (see “Daily Reports” for April 2013 on NOAA’s website). NASA JPL Horizons ephemeris queries can be scripted for Sun/Moon positions (catalog codes 399 for Sun, 301 for Moon).
  • Index Calculation: The Python scripts compute angles (using Astropy’s solar/lunar coordinates) and z-scores. The repository includes example data (Date, θ, LatDiff, etc.) and a function to compute RI.
  • Figures & Tables: – Figure 1 uses NASA ISS imagery (already embedded). – Figure 2 (timeline) is drawn in Mermaid (see code in text). – Figure 3 (RI histogram) can be reproduced by plotting the control RI distribution and marking case values (Matplotlib code included). – Table 1 is constructed from the above-calculated values.
  • Statistical Test: We used scipy.stats for z-test and percentile rank. The p-values quoted can be recomputed from the control array.
  • Remaining Unspecified Data: Precise FLIR sensor metadata (e.g. camera model, exact lat/long to 6 decimals) are not needed for the geometry analysis, but can be requested from the original sources (DHS or Navy archives) for further precision. Their absence does not affect the broad results shown here.

All steps and data provenance are documented in the code and this report. Readers are encouraged to verify by running the scripts on the raw data.


References: (See bracketed numbers in text.) 

Key sources include NOAA/SWPC reports, [2] [3]

NASA/JPL ephemeris, and documented case reports. [1] [4] [5] [6] 


  Ancient Mysteries Decoded® is a registered trademark of Shahrokh Zadeh. Mysteryology™, Mysteryologist™,  Energyology™, Consciousology™, Interactionology™, the Mysteryology Unified Framework, and related marks are identifiers associated with the Owner’s work.
Content © 2024–2026 Shahrokh Zadeh. All rights reserved. 

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BREAKING DISCOVERY ANNOUNCEMENT

I have made a significant new discovery about the famous 2004 USS Nimitz Tic Tac UAP incident.
My analysis reveals that the entire multi-day wave aligns precisely with a specific lunar timing window known as the New Moon Octant — a pattern that has never been identified before.

This finding opens a new direction for UAP research and supports a key component of my Mysteryology™ Unified Framework, providing a measurable way to study when these events are most likely to occur.

👉 Click the box below to read the full discovery report

Check it out!