What can a magnetic anomaly on the Moon tell us about its ancient interior?

This episode explores a 2026 study of the Dewar magnetic anomaly on the Moon’s far side by Xi Yang, Anna Mittelholz, Adrien Broquet, and Max Moorkamp at ETH Zurich, the German Aerospace Center (DLR), and TU Berlin. The episode is based on the original research and on the review of the study by Victor Kuklin, published by ALLATRA Media.

Using a joint analysis of NASA GRAIL gravity data and lunar magnetic-field measurements from Lunar Prospector and Kaguya/SELENE, the researchers reconstruct a shallow, dense, strongly magnetized body beneath the Dewar region. Their model is consistent with buried mare basalt and indicates a paleofield intensity greater than 11 μT around 4.2 billion years ago.

The interpretation is significant because it supports the possibility that the Moon’s core dynamo was already active at that time. The study also examines the role of horizontal magnetization in the formation of the nearby Dewar swirl and compares a core-generated magnetic field with a transient impact-generated field.

But the result comes with important limits. The 11 μT figure is a lower-bound estimate derived from modeled rock magnetization, not a direct measurement of the ancient lunar field. The dynamo interpretation is inferential, and the mechanism capable of sustaining such a strong field in the Moon’s small core remains unresolved. No Dewar rock sample was measured directly; the conclusions come from orbital observations and geophysical modeling.

The original research was published in Science Advances on September 23, 2026.

Xi Yang, Anna Mittelholz, Adrien Broquet & Max Moorkamp — Science Advances
https://www.science.org/doi/10.1126/sciadv.aec0341

ALLATRA Media Review
Victor Kuklin — A Buried Volcano on the Moon's Far Side Points to an Ancient Magnetic Field
https://allatra.media/news/space-moon-far-side-dewar-dynamo

What if the human brain contains thousands of proteins missing from the reference catalogs we rely on?

In this episode, we examine a 2026 Nature Aging study by Brendan Miller, Alan Saghatelian, and colleagues that mapped 1,067 previously uncatalogued microproteins in the human dorsolateral prefrontal cortex.

The researchers identified 4,321 microproteins with mass-spectrometry evidence and found 22 unreviewed microproteins associated with Alzheimer’s disease. One, micro-MKKS63, a 63-amino-acid protein, was reduced in symptomatic Alzheimer’s tissue and showed effects on mitochondrial respiration in human microglial cells.

The key question is what these findings actually mean. The study does not establish causation or show that these proteins are therapeutic targets. Instead, it reveals a previously overlooked layer of human biology and suggests that current protein catalogs may be substantially incomplete.

Original research — Nature Aging
https://www.nature.com/articles/s43587-026-01207-x

DOI
https://doi.org/10.1038/s43587-026-01207-x

Review by Gabriela Szalayová — ALLATRA Media
https://allatra.media/science/science-brain-microprotein-atlas

This episode features an in-depth analysis of both the primary research paper published in Nature Astronomy and its analytical review by Diana Brinker for ALLATRA Media. As Brinker highlights in her breakdown, this study on the young IRAS 07299-1651 system, conducted by Yao Wang, Yichen Zhang of Shanghai Jiao Tong University, and their team at the Instituto de Astrofísica de Andalucía, explores how massive binary stars form via gravitational capture.

For decades, stellar astrophysics operated on a dominant paradigm: the heaviest stars in our galaxy, often found in bound binary pairs, were assumed to share a single birth origin, splitting from a single collapsing protostellar disk through disk fragmentation.

But what happens when an eight-year observational baseline using the world's most advanced interferometers quietly dismantles that assumption?

Episode Timestamps:

00:00 — Core Hypothesis: Disk Fragmentation vs. Dynamical Capture in ALLATRA Media's Review

01:30 — Observational Baseline: Integrating ALMA, VLA, JWST & VLT Data 03:45 — 3D Vector Physics: Near-Parabolic Trajectories & Disk Misalignment

06:10 — Methodological Limits: Fractional Arcs, Degeneracy & N=1 Sample Size

08:30 — Academic Consensus: Open Data on Zenodo & Galactic Evolution Implications