English

Unveiling Electron Density Profile in Nearby Galaxies using SDSS MaNGA

Astrophysics of Galaxies 2026-02-23 v2 Cosmology and Nongalactic Astrophysics

Abstract

Most observational studies of galactic-scale magnetic fields using Faraday rotation rely on estimates of thermal electron densities in galaxies and their radial variations. However, the spatial distribution of electrons in the interstellar medium (ISM) is not clearly known. In this study, we propose and utilize collision-excited doublet emission line ratios of [S II] λλ\lambda\lambda 6716, 6731 A˚\r{A} to estimate the electron densities (nen_e). To map their distribution in the galaxies, we employ IFU spectroscopic observations from the SDSS MaNGA survey, utilising data products from both the MaNGA Data Analysis Pipeline (DAP). We present a spatially resolved analysis of 6666 face-on galaxies (inclination, i15i \leq 15^\circ), including 4646 star-forming galaxies (SFGs) and 2020 Non-SFGs. Azimuthally averaged radial profiles of nen_e are obtained. We found that both SFGs and Non-SFGs exhibit nen_e gradients, with higher densities of nen_e(S II) = 52.87±8.3252.87 \pm 8.32 cm3^{-3} and 99.39±24.3799.39 \pm 24.37 cm3^{-3}, respectively, in the inner disk region (r/Re_e \leq 1.5), which decreases to nen_e(S II) = 20.92±4.220.92 \pm 4.2 cm3^{-3} in SFGs and 34.64±11.2434.64 \pm 11.24 cm3^{-3} in Non-SFGs, in the outer disk region (r/Re_e >> 1.5). We have also analysed these sources with Pipe3D fluxes. We translated nen_e to electron column densities (NeN_e) by assuming a typical disk of thickness 1 kpc and note that Ne1022N_e \sim 10^{22} cm2^{-2} at \sim14 kpc in the disk outer region. We have also discussed the profiles obtained using [O II] λλ\lambda\lambda 3726, 3729 A˚\r{A} doublet. These electron density estimates at different radii provide valuable insights for resolving ambiguities in current and future studies of magnetic fields in galaxies.

Keywords

Cite

@article{arxiv.2505.13677,
  title  = {Unveiling Electron Density Profile in Nearby Galaxies using SDSS MaNGA},
  author = {Shivam Burman and Sunil Malik and Suprit Singh and Yogesh Wadadekar},
  journal= {arXiv preprint arXiv:2505.13677},
  year   = {2026}
}

Comments

Version accepted in JCAP