Initial Results From the First Field Expedition of UAPx to Study Unidentified Anomalous Phenomena

TL;DR

This paper reports initial findings from a field expedition studying UAPs, detailing the methods, challenges, and a notable ambiguous event possibly linked to ionizing radiation, aiming to improve scientific understanding of UAP phenomena.

Contribution

It introduces a comprehensive methodology combining optical and infrared sensors for UAP data collection and analysis, with lessons learned for future scientific expeditions.

Findings

Approximately 600 hours of IR video analyzed

Identification of a persistent ambiguous dark spot event

Proposed statistical rules for future UAP data analysis

Abstract

In July 2021, faculty from the UAlbany Department of Physics participated in a week-long field expedition with the organization UAPx to collect data on UAPs in Avalon, California, located on Catalina Island, and nearby. This paper reviews both the hardware and software techniques which this collaboration employed, and contains a frank discussion of the successes and failures, with a section about how to apply lessons learned to future expeditions. Both observable-light and infrared cameras were deployed, as well as sensors for other (non-EM) emissions. A pixel-subtraction method was augmented with other similarly simple methods to provide initial identification of objects in the sky and/or the sea crossing the cameras' fields of view. The first results will be presented based upon approximately one hour in total of triggered visible/night-vision-mode video and over 600 hours of un-triggered (far) IR video recorded, as well as 55 hours of (background) radiation measurements. Following multiple explanatory resolutions of several ambiguities that were potentially anomalous at first, we focus on the primary remaining ambiguity captured at approximately 4am Pacific Time on Friday, July 16: a dark spot in the visible/near-IR camera possibly coincident with ionizing radiation that has so far resisted prosaic explanation. We conclude with quantitative suggestions (3-5 sigma rules) for serious researchers in the still-maligned field of hard-science-based UAP studies, with an ultimate goal of identifying UAPs without confirmation bias toward mundane / speculative conclusions.