Resolved stellar mass maps of galaxies. I: method and implications for global mass estimates

TL;DR

This paper presents a new method for creating detailed stellar mass maps of galaxies using optical and near-infrared imaging, improving accuracy of mass estimates and revealing dust effects.

Contribution

The authors develop a robust technique to derive spatially resolved stellar mass maps from optical/NIR colors, incorporating a comprehensive library of stellar population models and adaptive smoothing.

Findings

Stellar mass maps achieve ~30% accuracy per pixel.

Resolved mass estimates can differ by up to 40% from unresolved methods in dusty regions.

The method improves global mass estimates by accounting for dust effects.

Abstract

(Abridged) We introduce a novel technique to construct spatially resolved maps of stellar mass surface density in galaxies based on optical and near IR imaging. We use optical/NIR colour(s) to infer effective stellar mass-to-light ratios (M/L) at each pixel, which are then multiplied by the surface brightness to obtain the local stellar surface mass density. We build look-up tables to express M/L as a function of colour(s) by marginalizing over a Monte Carlo library of 50,000 stellar population synthesis (SPS) models by Charlot & Bruzual (2007), which include a revised prescription for the TP-AGB stellar evolutionary phase, with a wide range of dust exinctions. In order to extract reliable flux and colour information at any position in the galaxy, we perform a median adaptive smoothing of the images that preserves the highest possible spatial resolution. As the most practical and robust, and hence fiducial method, we express the M/L in the H band as a function of (g-i) and (i-H). Stellar mass maps computed in this way have a typical accuracy of 30 per cent or less at any given pixel, determined from the scatter in the models. We compare maps obtained with our fiducial method with those derived using other combinations of bandpasses and the old BC03 TP-AGB prescription. Finally, we compare total stellar mass estimates obtained by integrating resolved mass maps with those obtained with unresolved photometry. In galaxies with evident dust lanes, unresolved estimates may miss up to 40 per cent of the total stellar mass because dusty regions are strongly under-represented in the luminous fluxes.