English

Column-Density Estimation from the Equivalent Widths of Absorption Doublets

Astrophysics of Galaxies 2026-08-04 v1 High Energy Astrophysical Phenomena Instrumentation and Methods for Astrophysics

Abstract

Na I D absorption is widely used to estimate the dust extinction toward Galactic and extragalactic sources, but the inferred column densities are unreliable once the lines saturate. We present an analytical framework for estimating column densities from the equivalent widths (EWEWs) of absorption-line doublets. The method requires only that the two doublet members be measured separately -- the velocity structure need not be resolved -- so a resolving power λ/Δλ103\lambda/\Delta\lambda\gtrsim10^{3} suffices for Na I D, two orders of magnitude below velocity-resolved methods. For the Gaussian curve of growth, the classical inversion reduces to a universal saturation correction depending only on the doublet ratio, R=EW2/EW1R=EW_2/EW_1: at fixed RR, the inferred column density is linear in the measured EWEW. The formulation yields the exact Gaussian inversion, Nκ~N_{\tilde\kappa}, which provides the Doppler parameter; a closed-form second-order approximation; and a strict lower bound, NminN_{\rm min}, valid for an arbitrary velocity structure. We recommend reporting NminN_{\rm min}: an optimal, assumption-free lower bound, within a few per cent of Nκ~N_{\tilde\kappa} for R1.4R\gtrsim1.4 and at most a factor 3.53.5 below it at R=1.1R=1.1. The ratio Nκ~/N2ndN_{\tilde\kappa}/N_{\rm 2nd} provides a per-object saturation diagnostic. We validate the framework against published profile-fitting Na I D column densities toward Type Ia supernovae, using only the integrated EWEWs. An explicit closed-form formula converts the two EWEWs into an extinction estimate through the observed logN(NaI)\log N(\mathrm{Na\,I})--AVA_V relation. A public implementation with full uncertainty propagation accompanies the paper.

Cite

@article{arxiv.2608.04088,
  title  = {Column-Density Estimation from the Equivalent Widths of Absorption Doublets},
  author = {Avshalom Badash and Doron Kushnir},
  journal= {arXiv preprint arXiv:2608.04088},
  year   = {2026}
}

Comments

13 pages, 2 figures, 2 tables. Submitted to MNRAS