arXiv:2407.13373 [astro-ph.GA]AbstractReferencesReviewsResources
Detection of maser emission at 183 and 380 GHz with ALMA in the gigamaser galaxy TXS2226-184
A. Tarchi, P. Castangia, G. Surcis, V. Impellizzeri, E. Ladu, E. Yu Bannikova
Published 2024-07-18Version 1
The LINER galaxy TXS2226-184 is known to host a very luminous 22 GHz water maser, labeled as 'gigamaser' at the time of its discovery. So far, the nature of this maser is still debated, in particular, if it is associated with a nuclear accretion disk, or with an ejection component, namely a jet or an outflow originating in the AGN. We have obtained multi-band (band 5, 6, and 7) ALMA observations during Cycle 9, with the purpose of investigating the maser nature and the nuclear molecular material in the innermost region of the galaxy. While the full data sets are still under study, a preliminary data reduction and analysis of the band 5 and 7 spectral line cubes, presented in this Letter, offer already a significant outcome. We observed, bright, possibly maser emission from the 183 GHz and 380 GHz transitions in TXS2226-184. This represents the first confident detection of 380 GHz (maser) emission in an extragalactic object. Emission features at both frequencies show a two-peaked line profiles resembling that of the 22 GHz maser features. The mm/sub-mm emission originates from a region coincident, within the errors, with that of the 22 GHz. The similarities in profile and position indicate that the emission at the three frequencies is likely produced by the same nuclear structure, although differences in line strengths and feature peak positions may hint a slightly different physical conditions of the emitting gas. A comparison with the few megamaser sources studied into high-enough details and sharing similarities with the water lines in TXS2226-184, favors a nature associated with amplification of a bright nuclear continuum (from a jet/outflow) through dense and hot gas in front of the nucleus (e.g., a disk or torus), however, a more comprehensive analysis of the available data is necessary to better assess this scenario.