Synthetic absorption lines for a clumpy medium: a spectral signature for cloud acceleration in AGN?

TL;DR

This paper models synthetic absorption lines in AGN warm absorbers, revealing how cloud acceleration and disruption affect line profiles, and proposes a spectral diagnostic to identify cloud acceleration signatures.

Contribution

It introduces a first-principles method combining hydrodynamics and photoionization to analyze spectral signatures of cloud acceleration in AGN winds.

Findings

Cloud disruption causes mild changes in line shapes and strengths.

Accelerating clouds produce blueshifted absorption features.

A diagnostic using doublet line differencing can identify cloud acceleration.

Abstract

There is increasing evidence that the highly ionized multiphase components of AGN disk winds may be due to thermal instability. The ions responsible for forming the observed X-ray absorption lines may only exist in relatively cold clumps that can be identified with the so-called 'warm absorbers'. Here we calculate synthetic absorption lines for such warm absorbers from first principles by combining 2D hydrodynamic solutions of a two-phase medium with a dense grid of photoionization models to determine the detailed ionization structure of the gas. Our calculations reveal that cloud disruption, which leads to a highly complicated velocity field (i.e. a clumpy flow), will only mildly affect line shapes and strengths when the cold gas becomes highly mixed but not depleted. Prior to complete disruption, clouds which are optically thin to the driving UV resonance lines will cause absorption at an increasingly blueshifted line of sight velocity as they are accelerated. This behavior will imprint an identifiable signature on the line profile if warm absorbers are enshrouded in an even broader absorption line produced by a high column of intercloud gas. Interestingly, we show that it is possible to develop a spectral diagnostic for cloud acceleration by differencing the absorption components of a doublet line, a result which can be qualitatively understood using a simple partial covering model. Our calculations also permit us to comment on the spectral differences between cloud disruption and ionization changes driven by flux variability. Notably, cloud disruption offers another possibility for explaining absorption line variability.