Quantitative Metrological Analysis of Anomalous Signatures

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-21
DOI
https://doi.org/10.5281/zenodo.17575745
Primary Topic
Paranormal Experiences and Beliefs
Type
preprint
Controls
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preprint

Quantitative Metrological Analysis of Anomalous Signatures

Zenodo (CERN European Organization for Nuclear Research)
Paranormal Experiences and Beliefs
preprint

Quantitative Metrological Analysis of Anomalous Signatures

preprint en

Abstract

Note: Figure 12, which showed a misaligned template implementation, has been corrected and replaced. The previously incorrectly implemented image sample F13 has been replaced with the correct sample in the set. We apologize for any inconvenience. File Archive & Supplementary Notes: This upload includes all images used in the study, as well as other visual documents, divided into standardized TIFF archives and historical documentation. Among them are the configured image samples F01–F14. An additional dataset in the form of a compressed ZIP archive (Image_Samples_F01-F14_Control_Overlay.zip) clarifies the defined positions in the image samples via integrated control files such as the CCS template and the manual scoring template (Sec. 3.7.7, Layer 4). The control options have also been precisely integrated into the ROI (Fig. 4), along with a graphic explanation of the morphology within the image space. Basic paintings by the author illustrate what was seen in 1987 during the close encounter described in section 1.2. Usage note: To ensure scientific reproducibility, fully layered Adobe Photoshop master files with all templates, control options, and custom coordinate systems are provided (Full_Layered_Research_Package_Photoshop.tif). Adobe Photoshop is required to access all layers. Update and Version Notice: This work is part of an ongoing research and elaboration process published as a preprint. To ensure that all language versions remain fully synchronized, exclusively the latest version serves as the binding reference. We apologize for any inconvenience. Data Availability: The configuration protocol for samples F01–F14 is available in the supplementary material. Invitation to Peer Review: The author of this independent study invites academic validation. Constructive engagement with the presented data is explicitly welcomed. Origin, Transparency, and Methodological Context: This study documents an independent research path to process a close encounter with a Grey-type entity from 1987 in Sacramento, California. The catalyst was the initial recognition of those characteristic glowing yellow eyes in the Kumburgaz UAP footage (Yalman, 2008), which the author had observed at close range back in 1987; this culminated in the present investigation in 2025. In view of the lack of a broader institutional discourse during earlier communication phases (for exceptions, see Table 9), the analysis process was designed to be autonomous and interdisciplinary. Publication via open scientific repositories and the project-associated website stems from the necessity for a precise, factual, and freely accessible data foundation. The study is conceived as a research process; previous versions reflect the methodological development of the study itself as well as the successive refinement of the scientific systematics. Any adjustments in the reconstruction of the introduced personal event are based on a subsequent correction of the temporal sequences and scale relationships using the actual course of actions at the time (evening routine and real time interval to the event). The core of the event has remained consistently congruent over the decades. In addition to personal processing, the study aims to make the insights obtained available to the global academic community within a scholarly framework. Commercial or other external interests are not pursued at any time. In view of the complexity of the abduction phenomenon, there is an ethical responsibility for transparent enlightenment within the framework of a holistic disclosure of the UAP and NHI context. In order to minimize any ontological shock to society, following an initial publication phase, the focus now lies consistently on a purely empirical and fact-based data set made accessible via academic repositories. Notes on Methodological Elaboration and AI Usage: The identification of features, the methodological approach, and the final interpretation are based on the author's observations, with the entities in both image sources classified as being of identical species. Although the author, as a medical doctor, lacks deep theoretical knowledge in quantum physics, the morphological patterns and features identified led to the hypothesis of potential field stabilization. This assumption was methodically refined and elaborated in the further course with the support of modern AI tools. Ethical and Methodological Note: This metrological analysis is conducted with due respect for the interaction with a putative subject documented in the examined image. The investigation is strictly limited to the objective morphological features of the described entity against a dark background on the right side of the image space. The deliberately chosen, distanced, and clinically descriptive tonality serves methodological integrity: In view of the extraordinary nature of the phenomenon, any subjective interpretation is avoided to prevent anthropocentric distortion of the data and to meet the scientific standard of maximum objectivity. Abstract: Quantitative Metrological Analysis of Anomalous Signatures Measuring a Paradox: Metrical Validation of Non-Human Morphology This study presents a quantitative analysis of anomalous phenomena. Based on the Kumburgaz UAP footage (2008), the author provides mathematical evidence of a highly ordered image capture across a distance of several kilometers, which resembles a paradox. The cause of this stabilized morphology eludes conventional explanatory models. Key Findings: Mathematical Precision: The geometric ratios analyzed in the 2D image space (pupil-to-eyelid edge ratio) document extreme metrical stability with a standard deviation (SD) of 0.01. This value practically rules out random artifacts or image errors and represents an anomaly under the given recording conditions. Physical Anomalies: By verifying a spherical-convex surface reflection (adjacent to the right cornea) as confirmation of the physical integration of ocular morphology in the image space, the phenomenological edge sharpness of the investigated structures, and the active luminescence of the eyes, a classification of the investigated entity as a "Constructed Biological Entity" (CBE) is proposed. Interdisciplinary Bridge: The work synthesizes forensic metrology with personal observational experience. It transforms video recording (Yalman, 2008) combined with the author's phenomenological documentation (Lacson, 1987) into an objectifiable, scientific reference protocol. This study serves an expanded, contemporary era of direct NHI research in which anomalous features are not merely described, but the opportunity exists to measure them as well. It provides the data basis for global interdisciplinary validation. About the Author: Caroline Lacson is a licensed medical doctor and a trained mechanical drafts-person. This interdisciplinary expertise enables her to combine medical-anatomical observations with precise geometric analysis methods. Motivated by a personal NHI encounter in Sacramento in 1987, she dedicates herself to the independent research of unidentified phenomena. Her focus within this analysis lies on methodological reproducibility and the provision of valid data to place subjective experience into a verifiable scientific context. Notice on the Project Website "nhi-insights": The fully revised and updated website presents the initial visual examination of an image region of still frame 7 from one of the 2008 Kumburgaz footage recordings (filmed by M. Y. Yalman, processed by Prof. M. Valdés, 2010), which underlies this analysis. Although the processing tool used is based on a proprietary algorithm, significant facial feature details as well as interacting elements could be precisely identified in the course of this investigation.

Zenodo (CERN European Organization for Nuclear Research)
Paranormal Experiences and Beliefs
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