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March 15, 2026Monthly Notices of the Royal Astronomical Society0 citationsOpen Access

Radio Spectral Energy Distribution of Low- z Metal Poor Extreme Starburst Galaxies: Novel insights on the escape of ionizing photons

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OBOmkar BaitDSD. SchaererYIY. I. Izotov

Key Points

  • The study aims to explore the radio spectral energy distribution and ionizing photon escape in low-z metal poor extreme starburst galaxies.
  • Conducted multi-frequency radio continuum observations of 8 xSFGs using uGMRT and VLA.
  • Analyzed radio data spanning from 150 MHz to 15 GHz to build radio spectral energy distribution (radio-SED).
  • Modeled thermal radio emission with Bayesian methods to investigate correlations with ionization state.
  • Identified a flat spectral index in xSFGs between 6 and 15 GHz, with some showing spectral turnovers from 0.3 to 3 GHz.
  • Found evidence for dust in several xSFGs by comparing modeled thermal radio emissions with observed Hβ line flux density.
  • Confirmed a correlation between Lyman continuum escape fraction, ionization state, and spectral index in strong leakers.

Abstract

Abstract Recent optical surveys have identified a rare population of low-z (z ∼ 0. 01 − 0. 06) extreme star-forming galaxies (xSFGs) characterized by very low metallicity, strong emission lines, extremely high specific star-formation rate, low stellar mass, and strong Ly α emission. Their global properties resemble recently discovered z 6 reionization-era star-forming galaxies. We present new multi-frequency radio continuum (RC) observations of 8 xSFGs using the upgraded Giant Metrewave Radio Telescope (uGMRT) at 1. 25 GHz, the Karl G. Jansky Very Large Array (VLA) at 1. 5, 3. 0, 6. 0, 10. 0 and 15. 0 GHz, along with archival LOw Frequency ARray (LOFAR) data at 150 MHz for several sources. These data allow construction of the radio spectral energy distribution (radio-SED) from ∼1 GHz (down to 150 MHz for some sources) to 15 GHz, spanning nearly two orders of magnitude in frequency. We find that xSFGs exhibit a flat spectral index between 6 and 15 GHz, while a subset shows spectral turnovers at 0. 3 − 3 GHz. Our Bayesian radio-SED modeling indicates that these features are consistent with a high thermal fraction combined with free-free absorption, requiring high emission measures in some systems. By comparing modeled thermal radio emission with observed Hβ line flux density, we find evidence for dust in several xSFGs. Finally, we confirm a previously reported correlation between Lyman continuum escape fraction (fₑscLyC), ionization state, and radio spectral index, particularly among strong leakers.

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Cite This Study

Bait et al. (2026) studied this question.

synapsesocial.com/papers/69b606c483145bc643d1d123https://doi.org/10.1093/mnras/stag492
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