# Joint Inversion of Radionuclide Production Rate Data and Thermoremanent Magnetic Records over the Holocene

**Authors:** Maximilian Arthus Schanner, Andreas Nilsson, Raimund Muscheler

PMC · DOI: 10.1007/s11207-025-02559-0 · Solar Physics · 2025-11-06

## TL;DR

This paper presents a new Bayesian model to reconstruct past solar and Earth magnetic field changes using radionuclide and magnetic data over the Holocene.

## Contribution

The novel contribution is a Bayesian model that jointly inverts radionuclide and thermoremanent magnetic data with a flexible prior for solar activity trends.

## Key findings

- The model identifies distinct grand solar minima and a normal activity mode.
- An 11-year cycle in solar modulation is recoverable from the data.
- The approach allows for bimodal and long-term trends in solar activity.

## Abstract

Understanding the Sun’s role in past climate change requires knowledge of solar variability over millennia. While direct sunspot records span only the last 400 years, longer-term changes are inferred from cosmogenic radionuclides like 14C and 10Be in tree rings and ice cores. Their production reflects variations in galactic cosmic ray flux, modulated by Earth’s and Sun’s magnetic fields - the latter is tied to solar activity. We present a Bayesian model that jointly reconstructs solar modulation and the global geomagnetic field over the Holocene. Extending previous work, our model directly incorporates 14C and 10Be production rate data and thermoremanent magnetic records. A flexible prior allows for bimodality and explicit long-term trends in solar activity. The reconstruction shows a clear separation of grand solar minima and a normal mode. Additionally, we explore the recovery of an 11-year cycle in solar modulation.

## Linked entities

- **Chemicals:** 14C (PubChem CID 26873), 10Be (PubChem CID 6336616)

## Full-text entities

- **Chemicals:** 10Be (MESH:C000615218), 14C (MESH:C000615234)

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12592250/full.md

## Figures

6 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12592250/full.md

## References

16 references — full list in the complete paper: https://tomesphere.com/paper/PMC12592250/full.md

---
Source: https://tomesphere.com/paper/PMC12592250