# Radio detection of cosmic rays in [1.7-3.7] MHz: the EXTASIS experiment

## TL;DR

The EXTASIS experiment investigates low-frequency radio emissions from cosmic ray air showers in the 1.7-3.7 MHz band, revealing detection of 18 events and a correlation with atmospheric electric fields, thus exploring a previously underused frequency range.

## Contribution

This study introduces the first dedicated low-frequency (1.7-3.7 MHz) radio detection setup for cosmic ray air showers, providing new insights into their electric field emissions at these frequencies.

## Key findings

- Detected 18 air showers in the low-frequency band.
- Estimated a detection threshold of 23±4 μV/m.
- Found a strong correlation between signals and atmospheric electric fields.

## Abstract

Since 2003, significant efforts have been devoted to the understanding of the radio emission of extensive air showers above 20 MHz. Despite some studies led until the early nineties, the band available below 20 MHz has remained unused for 20 years. However, it has been claimed by some pioneering experiments that extensive air showers emit a strong electric field in this band and that there is evidence of a large increase of the radio pulse amplitude with decreasing frequencies. The EXTASIS experiment, located within the Nan\c{c}ay Radioastronomy Observatory and supported by the scintillator array and the autonomous radio stations of the CODALEMA experiment, aims to re-investigate the low-frequency band, and especially to study the so-called "sudden death" contribution, the expected electric field radiated by the shower front when hitting ground level. In this work, we present the instrumental setup of the EXTASIS experiment composed of~$7$ low-frequency antennas operating in [1.7-3.7] MHz and covering approximately \SI{1}{\kilo\metre\squared}. We report the observation of~$18$ air showers detected in coincidence in the three instruments, and estimate a detection threshold of \SI{23\pm4}{\micro\volt\per\metre} from comparisons with detailed SELFAS3 simulations. We also report a strong correlation of the low-frequency signal observation with the atmospheric electric field.