Category: News

Pickett Applied Technologies Laboratories filed a U.S. provisional patent application for Twidget on 1 October 2026. Application
64/166,977 covers systems and methods for passive, multi-antenna, multi-unit radio-frequency sensing and cueing of emitting unmanned aircraft when a site is under emission control.

A provisional starts the priority clock. It is not an issued patent, and it is not examined. What follows is a plain-language look at the idea in that filing.

The problem the filing starts from

Bases and forward sites often have to stay quiet on the air. Active radar and jammers tell an adversary where you are. Many small
aircraft do not stay quiet. Video links, control links, and the electronics and motors on the airframe radiate, sometimes only in bursts and only from certain aspects.

A single passive receiver struggles with that. Weak, intermittent energy looks a lot like noise, and one node raises too many false
alarms. Twidget is written as a receive-only layer that checks a detection more than once before it hands a cue to the command
system already on the site. Engagement stays with the effectors the operator already has. The sensor is not a weapon and it does notclose a kill chain by itself.

What a sensor unit is

Each unit listens. It does not transmit, interrogate, or radiate a local-oscillator beacon.

The preferred unit in the specification uses several wideband antennas and a low-noise receive chain on each one. Planar taperedslot antennas (the Vivaldi family) are the example, sized for a very wide instantaneous band, with attention on the links small aircraft actually use, including 2.4 GHz, 5.8 GHz, and higher.

The front end is built for a hard dynamic-range problem: a distant, low-power emitter and a strong nearby signal should not force the same gain setting. The filing describes cascaded low-noise amplifiers, a digital step attenuator with detector-based automatic gain control as the everyday control, and a wideband limiter as a backstop. An optional shared high-gain path can take a second look after a first coincidence, instead of running every channel at maximum gain all the time.

Coincidence is the point

Noise on one channel is a poor reason to wake an operator. A real emitter tends to show up together in time across antennas, and
again across units that are not standing on the same patch of ground.

The method in the filing stacks those checks:
Each channel compares what it hears with its own adaptive background.
Inside one unit, several channels have to cross that background together. The preferred rule is three of four. Two of four and
four of four are described as confidence tiers, not as a different product.

Across the site, separated units have to agree inside a short time window. The preferred rule is two of three, or two of four.
Optional frequency-bin agreement, hysteresis, and a short energy integration step keep a flicker from becoming a track and
keep a real track from dropping on one missed look. Machine learning, if it is used at all, comes after coincidence. It refines a detection. It is not the detector.

A provisional expires twelve months after filing unless a non-provisional application, a Patent Cooperation Treaty application, or both, is filed in time and claims its benefit. Informal drawings in the provisional can be replaced with formal line drawings at that
step.

The hero images in this post are illustrations for the website. The two numbered figures are the informal drawings from the
application as filed.


Twidget is a discreet, passive drone-detection concept from Twidget International and Pickett Applied Technologies Laboratories. This article describes a pending provisional application. It is not legal advice and it is not a performance specification

Long-range point prediction in chaotic systems is fragile. A weaker but often more stable question asks whether a body or configuration can enter a specified region during a finite interval. That question is set-valued: it concerns every initial state in a prescribed family and every time in a horizon. Invariants can sometimes answer it exactly even when individual trajectories are sensitive to initial conditions.

Put simply, instead of trying to predict exactly where three bodies will be, we asked whether conserved quantities and finite-time dynamics could tell us where they definitely cannot be.

This manuscript tests that idea on the classical three-body problem.

We recovered two exact invariant exclusions as analytic controls. In the Earth–Moon circular restricted three-body problem at fixed Jacobi constant, any point where the effective potential yields a negative squared speed is unreachable by a real velocity. On the unrestricted planar energy surface corresponding to the classical Burrau (3-4-5 Pythagorean) problem with zero angular momentum, at least one pair of bodies must always satisfy a hard upper bound on separation of approximately 3.667. Both statements follow directly from the conserved quantities and require no trajectory sampling.

Does this solve the three-body problem? No. It does not provide a universal formula for predicting three gravitating bodies indefinitely. It investigates a narrower question: whether specified regions can be ruled out over a finite horizon without predicting the exact trajectory.

We then asked whether a broad fixed-invariant family in the unrestricted planar problem produces any additional finite-time exclusions over a horizon of three characteristic cycles. Positions and velocities were sampled on the invariant manifold (masses 3, 4 and 5; fixed Newtonian energy equal to the classical Burrau value; zero center-of-mass, total momentum and angular momentum; moment of inertia between 15 and 120; minimum initial separation 0.2). Adaptive classical RK4 propagated 450 000 attempted states; 323 466 complete trajectories passed a strict energy-drift gate. Physical-space and full three-pair-distance occupancy were recorded across more than 6.7 billion reported integration steps when the restricted-problem control campaigns are included.

Unvisited voxels whose centers passed elementary feasibility filters (triangle inequalities plus the kinetic-energy lower bound implied by angular momentum) were treated only as discovery candidates. They were ranked by interior depth after binary erosion, then attacked with differential evolution that stayed algebraically on the same invariant manifold. Every selected survivor—including the deepest expanded-domain targets—was reached by a high-accuracy, independently re-integrated numerical trajectory. High-order DOP853 re-integrations at successively tighter maximum steps confirmed entry into the inset interiors with pair-distance spreads orders of magnitude smaller than the safety margins.

No candidate survived adversarial falsification. Interval certification was therefore never initiated, and no new theorem is claimed. The primary outcome is a null result for additional numerical finite-time exclusions in the tested family and horizon.

That null is informative. Sparse occupancy maps can visually suggest forbidden structure that disappears under directed search. The asymmetric evidentiary rule used here—one verified hit destroys a candidate, while any number of optimizer misses fails to prove exclusion—prevents the common error of treating empty cells as proof. Exact Jacobi and negative-energy barriers remain valid. The campaign simply shows that, for this broad fixed-invariant ensemble and finite horizon, no further robust holes survived the discovery–falsification chain.

Conceptually the method reasons from negative space: remove what is certified impossible, and the remainder is an outer envelope of where the system may be. That remainder is possibility, not a probability distribution, and “not proved forbidden” is not the same as “proved reachable.” Finite-time forbidden-region statements are therefore a meaningful alternative to indefinite point prediction, provided the evidence is typed correctly—invariant proof, numerical candidate, adversarial survival, or validated certificate.

The full blinded manuscript (methods, claim taxonomy, all attack seeds, strict step-convergence data, limitations, code and data availability statements) is available on request. Reply or direct-message “PDF” and I will email a copy.

The correct publishable outcome is the null result itself.

Research-assistance disclosure: The mathematical synthesis, computational workflow, software development, numerical analysis, and manuscript drafting were performed with substantial assistance from Arena.ai Agent Mode under the author’s direction. The author executed and supervised the study and accepts responsibility for the published claims.

As we mentioned before, we’ve been working on getting certified. Well, we’re proud to announce that Pickett Applied Technologies Laboratories, LLC has officially achieved dual certification in ISO 9001:2015 and ISO 27001:2022 as of today.

For a company that was founded just thirteen months ago (March 2025), this is a huge accomplishment — and one that directly benefits every current and future government, defense, and law-enforcement partner we work with.

What This Means for Our Clients and Partners

ISO 9001 is the international gold standard for Quality Management Systems. It confirms that we have robust, repeatable processes for everything we do — from design and prototyping to documentation and delivery.

ISO 27001 is the global benchmark for Information Security Management. It proves that we treat data security with the same seriousness the Department of Defense and federal agencies demand.

Together, these two certifications tell our clients (especially those in the DoD, federal law enforcement, and allied agencies):

• Your projects will be managed with military-grade quality and consistency.
• Your sensitive information and intellectual property are protected under internationally recognized security controls.
• You’re working with a lab that already speaks your language when it comes to compliance.

Why We Pursued Dual Certification So Early

From day one, our mission has been to deliver rugged, reliable, mission-critical solutions — whether it’s military-grade electronics informed by real CIWS experience, the patented CricoPort emergency airway device, or data-enhanced systems built with Python, Pandas, and BI tools.

We knew that earning ISO 9001 and ISO 27001 early would give our partners immediate confidence that we operate at the level they require. This certification isn’t just a piece of paper — it’s proof that our processes, documentation, and security practices are built to support warfighters and first responders without compromise.

Looking Ahead

This certification is just the beginning. With ISO 9001 and ISO 27001 in place, we’re even better positioned to support larger DoD contracts, SBIR/STTR programs, and federal law-enforcement initiatives.

If you’re with the Department of Defense, a federal agency, or a prime contractor looking for a small, agile, veteran-owned lab that combines deep technical expertise with certified quality and security processes, we’d love to talk.

Contact us at rpickett@pat-labs.com or (541) 791-6266 to discuss how we can support your next mission-critical project.

Recognizing and Avoiding Honey Traps: Protecting Research from Espionage

As we continue to push the boundaries of innovation in the fields of science, technology, engineering, and mathematics (STEM), we also increase our vulnerability to espionage. One of the most insidious forms of espionage is the honey trap – a tactic used by adversaries to compromise sensitive research and intellectual property.

A honey trap typically involves a charming and attractive individual who gains the trust of researchers or scientists through flattery, friendship, or romance. Once inside, they gain access to classified information, manipulate data, or steal valuable assets. The key to success lies in the adversary’s ability to blend in seamlessly with their surroundings, often using tactics such as:

1. Gathering intelligence: Identifying vulnerabilities and exploiting them to gain access to sensitive areas.
2. Building rapport: Establishing a relationship with researchers or scientists based on shared interests, flattery, or emotional connection.
3. Creating opportunities: Offering assistance or resources that appear beneficial but ultimately serve the adversary’s goals.

To recognize and avoid honey traps, it is essential to be aware of the tactics used by adversaries. Here are some key indicators to watch out for:

1. Unusual interest in your work: Be cautious if someone appears overly interested in your research or shows an unusual amount of enthusiasm.
2. Too good to be true offers: Be wary of individuals who offer assistance, funding, or resources that seem too beneficial to be genuine.
3. Inconsistent or evasive behavior: Pay attention to inconsistencies in a person’s story, their words, and actions.

To avoid falling prey to honey traps:

1. Maintain professional boundaries: Establish clear expectations for relationships and interactions with colleagues, partners, or individuals offering assistance.
2. Verify credentials: Research the backgrounds of individuals involved in your project, including their affiliations, skills, and previous work experience.
3. Use secure communication channels: Utilize encrypted communication tools and protocols to protect sensitive information from eavesdropping or interception.
4. Conduct regular risk assessments: Continuously evaluate the potential risks associated with your research and take measures to mitigate them.
5. Honor your marriage convenent. No side piece is worth losing your research.

It is also crucial to implement robust security protocols within your organization, including:

1. Access controls: Limit access to sensitive areas and data based on need-to-know principles.
2. Authentication and authorization: Implement strict authentication and authorization procedures for individuals seeking access to classified information or resources.
3. Regular security audits: Conduct regular assessments of your organization’s security posture to identify vulnerabilities and address them promptly.

In conclusion, honey traps pose a significant threat to research institutions and individuals working on sensitive projects. By being aware of the tactics used by adversaries and implementing robust security protocols, we can minimize our vulnerability to espionage and protect our intellectual property. Remember, it is better to be cautious and paranoid than to fall prey to the cunning tactics employed by those seeking to compromise your work.

Action items:

1. Review and update your organization’s security policies to include honey trap mitigation strategies.
2. Conduct regular training sessions for researchers and scientists on recognizing and avoiding honey traps.
3. Establish a robust incident response plan in case of suspected espionage or honey trap activity.

By taking these steps, we can safeguard our research and intellectual property against the ever-evolving threats posed by adversaries seeking to exploit our vulnerabilities