English

X-raying molecular clouds with a short flare: probing statistics of gas density and velocity fields

High Energy Astrophysical Phenomena 2020-05-13 v2 Astrophysics of Galaxies

Abstract

We take advantage of a set of molecular cloud simulations to demonstrate a possibility to uncover statistical properties of the gas density and velocity fields using reflected emission of a short (with duration much less than the cloud's light-crossing time) X-ray flare. Such situation is relevant for the Central Molecular Zone of our Galaxy where several clouds get illuminated by a 110\sim110 yr-old flare from the supermassive black hole Sgr A*. Due to shortness of the flare (Δt1.6\Delta t\lesssim1.6 yrs), only a thin slice (Δz0.5\Delta z\lesssim0.5 pc) of the molecular gas contributes to the X-ray reflection signal at any given moment, and its surface brightness effectively probes the local gas density. This allows reconstructing the density probability distribution function over a broad range of scales with virtually no influence of attenuation, chemo-dynamical biases and projection effects. Such measurement is key to understanding the structure and star-formation potential of the clouds evolving under extreme conditions in the CMZ. For cloud parameters similar to the currently brightest in X-ray reflection molecular complex Sgr A, the sensitivity level of the best available data is sufficient only for marginal distinction between solenoidal and compressive forcing of turbulence. Future-generation X-ray observatories with large effective area and high spectral resolution will dramatically improve on that by minimising systematic uncertainties due to contaminating signals. Furthermore, measurement of the iron fluorescent line centroid with sub-eV accuracy in combination with the data on molecular line emission will allow direct investigation of the gas velocity field.

Keywords

Cite

@article{arxiv.1906.11579,
  title  = {X-raying molecular clouds with a short flare: probing statistics of gas density and velocity fields},
  author = {I. Khabibullin and E. Churazov and R. Sunyaev and C. Federrath and D. Seifried and S. Walch},
  journal= {arXiv preprint arXiv:1906.11579},
  year   = {2020}
}

Comments

21 pages, 18 figures, MNRAS, accepted