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<title>Hidden Planets Lab</title>
<link href="https://hdl.handle.net/1721.1/150954" rel="alternate"/>
<subtitle/>
<id>https://hdl.handle.net/1721.1/150954</id>
<updated>2026-04-12T22:29:30Z</updated>
<dc:date>2026-04-12T22:29:30Z</dc:date>
<entry>
<title>The Wafold: A Theory of Spacetime Termination Inside Black Holes</title>
<link href="https://hdl.handle.net/1721.1/163371" rel="alternate"/>
<author>
<name>Viaña, Javier</name>
</author>
<id>https://hdl.handle.net/1721.1/163371</id>
<updated>2025-10-23T03:01:55Z</updated>
<published>2025-10-22T00:00:00Z</published>
<summary type="text">The Wafold: A Theory of Spacetime Termination Inside Black Holes
Viaña, Javier
This article introduces a proposal for a novel conceptual interpretation of black holes in which spacetime can terminate on a curvature-triggered hypersurface. When curvature reaches a critical limit, the three-dimensional spatial geometry is proposed to undergo a dimensional compression into a thin, curved boundary identified as the wafold. Beyond this, spacetime no longer continues; the manifold itself comes to an end. All mass-energy and information would then be confined to the wafold, forming a structure consistent with the external Schwarzschild geometry and the Bekenstein-Hawking entropy law. We outline a possible Dimensional Conversion Law that could govern this phenomenon, and discuss the conservation, causal, and thermodynamic implications of the wafold at a conceptual level. This work should be regarded as a hypothesis-generating perspective, not a complete theory. Its purpose is to motivate further mathematical and physical inquiry.
</summary>
<dc:date>2025-10-22T00:00:00Z</dc:date>
</entry>
<entry>
<title>The Boundawall: A Proposal on the Nature of Black Holes</title>
<link href="https://hdl.handle.net/1721.1/163175" rel="alternate"/>
<author>
<name>Viaña, Javier</name>
</author>
<id>https://hdl.handle.net/1721.1/163175</id>
<updated>2025-10-16T03:01:59Z</updated>
<published>2025-10-15T00:00:00Z</published>
<summary type="text">The Boundawall: A Proposal on the Nature of Black Holes
Viaña, Javier
This research suggests a new interpretation of black holes in which the event horizon represents the termination of physical reality. In this view, when curvature approaches a critical threshold, the three-dimensional spatial geometry may undergo a dimensional compression into a two-dimensional manifold—the boundawall—that preserves gravitational continuity while preventing further causal evolution. Inside this surface, spacetime would cease to exist. All mass-energy and information would then be confined to the boundawall, forming a structure consistent with the external Schwarzschild geometry and the Bekenstein-Hawking entropy law. We outline a possible Dimensional Conversion Law that could govern this phenomenon, and discuss the conservation, causal, and thermodynamic implications of the boundawall. Finally, we comment on potential observational consistency and on limited predictions such as surface-mode signatures. In this theory, the event horizon is viewed not merely as a limit of observation, but as a potential boundary/wall of existence itself.
</summary>
<dc:date>2025-10-15T00:00:00Z</dc:date>
</entry>
<entry>
<title>A Neural Network based Search for Earth Analogs in Kepler Data</title>
<link href="https://hdl.handle.net/1721.1/150973" rel="alternate"/>
<author>
<name>Viaña, Javier</name>
</author>
<author>
<name>Vanderburg, Andrew</name>
</author>
<author>
<name>Fang, Mason</name>
</author>
<id>https://hdl.handle.net/1721.1/150973</id>
<updated>2023-06-29T03:13:03Z</updated>
<published>2023-06-19T00:00:00Z</published>
<summary type="text">A Neural Network based Search for Earth Analogs in Kepler Data
Viaña, Javier; Vanderburg, Andrew; Fang, Mason
Kepler was designed to find Earth-sized planets in Earth-like orbits, but its catalogue of Earth-analogue planet candidates is contaminated by instrumental artifacts. To try to solve this problem, we have developed a neural network architecture that allows to classify individual transits of possible Earth-like signals into three different categories (planet candidates, false positives, and noise) using pixel-level data. We use a branched convolutional neural network that receives as inputs the normalized time series of pixels surrounding the target star. The training data consists of short segments of pixel level data (created using a sliding window in time) for likely planets, false positives, and stars without known signals in Kepler data. The initial results show that the architecture has an 82% accuracy classifying individual transits; future work combining multiple transits could improve this accuracy significantly. The main novel contributions of this research are: the use of pixel level data as opposed to the aggregated cumulative flux for the detection of exoplanets, the proposal of a branched convolutional neural network architecture to address the problem, the filtering algorithms of Kepler data for the creation of the datasets, and the flow correction pre-processing algorithms. Ultimately, we plan to develop this algorithm and deploy it to search the full Kepler dataset for previously hidden Earth analogue exoplanets.
</summary>
<dc:date>2023-06-19T00:00:00Z</dc:date>
</entry>
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