What question did this study set out to answer?

This research aims to present a new pipeline for detecting anomalies in various scientific fields using subtraction techniques.

June 2, 2026Open Access

The Jem in the Room: Subtraction-Based Anomaly Detection Across Astronomy, Particle Physics, and Earth Science

Key Points

This research aims to present a new pipeline for detecting anomalies in various scientific fields using subtraction techniques.
Developed the Presignal Telegraphic Semantic Compression (TSC) pipeline for anomaly detection.
Applied the pipeline to 19 Chronicle entries in space science, particle physics, and earth science.
Utilized open-access datasets to characterize residual structures after known signals were removed.
Identified consistent SHALLOW-BOX profiles across KIC 8462852 dimming events with depth range and asymmetry reversal.
Detected a structured excess of 694.9 events in CMS SingleMu dimuon data at 13-16 GeV, with significance levels reported.
Demonstrated ability to reject false positives through sequential subtraction in multiple studies.

Abstract

We present the Presignal Telegraphic Semantic Compression (TSC) pipeline and its application across 19 Chronicle entries spanning space science, particle physics, and earth science. The pipeline applies a subtraction-first methodology to open-access scientific datasets, characterizing residual structure after known signals are removed. Three headline findings are reported: (1) the first formal morphological characterization of all four KIC 8462852 (Boyajian's Star) dimming events, revealing consistent SHALLOW-BOX profiles across a 7x depth range and an ingress/egress asymmetry reversal between Dip-B and Dip-C indicating two distinct co-orbiting occulting structures; (2) a 694. 9-event structured excess in CMS SingleMu dimuon data at 13-16 GeV surviving full Upsilon family, chib, and Drell-Yan continuum subtraction (9. 47 sigma raw; conservative 3-5 sigma post-systematics), with two sub-peak clusters at 13. 7 GeV and 15. 3 GeV confirmed across three independent datasets; and (3) demonstrated false-positive rejection through sequential subtraction, correctly ruling out a 115 GeV sliding-window artifact and a 181-day Kepler-62 harmonic alias. Supporting findings include NASA TESS cross-spectral-type aperiodic burst signatures, LIGO mass-gap merger events, 9. 7% of Swift GRBs resisting bimodal classification, and anomalous seismic clustering at 55°N/25°E in stable East European Craton lithosphere. All source data drawn from public archives. The Presignal subtraction methodology is domain-agnostic and complementary to existing institutional pipelines. The residual is the signal.

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