A new emulated Monte Carlo radiative transfer disc-wind model: X-Ray Accretion Disc-wind Emulator - xrade
A new emulated Monte Carlo radiative transfer disc-wind model: X-Ray Accretion Disc-wind Emulator - xrade
We present a new X-Ray Accretion Disc-wind Emulator (xrade) based on the 2.5D Monte Carlo radiative transfer code that provides a physically motivated, self-consistent treatment of both absorption and emission from a disc wind by computing the local ionization state and velocity field within the flow. xrade is then implemented through a process that combines X-ray tracing with supervised machine learning. We develop a novel emulation method consisting in training, validating, and testing the simulated disc-wind spectra into a purposely built artificial neural network. The trained emulator can generate a single synthetic spectrum for a particular parameter set in a fraction of a second, in contrast to the few hours required by a standard Monte Carlo radiative transfer pipeline. The emulator does not suffer from interpolation issues with multidimensional spaces that are typically faced by traditional X-ray fitting packages such as xspec. xrade will be suitable to a wide number of sources across the black hole mass, ionizing luminosity, and accretion rate scales. As an example, we demonstrate the applicability of xrade to the physical interpretation of the X-ray spectra of the bright quasar PDS 456, which hosts the best-established accretion disc wind observed to date. We anticipate that our emulation method will be an indispensable tool for the development of high-resolution theoretical models, with the necessary flexibility to be optimized for the next generation microcalorimeters onboard future missions, like X-Ray Imaging and Spectroscopy Mission (XRISM)/Resolve and Athena/X-ray Integral Field Unit (X-IFU). This tool can also be implemented across a wide variety of X-ray spectral models and beyond.
galaxies: active, galaxies: individual: PDS 456, methods: numerical, radiative transfer, techniques: spectroscopic
6172-6190
Matzeu, G. A.
35f2b40d-1f1f-453a-90d5-408a4dbba3dd
Lieu, M.
5b8dd08d-030d-4435-97d6-a33417a25cd0
Costa, M. T.
25731ed2-98ca-4038-af7c-1edf74483ef6
Reeves, J. N.
e6745f62-5486-4be2-be7e-c6c8959649dc
Braito, V.
9a460089-e2ce-4ad0-a254-2a6997076a38
Dadina, M.
b746bbb7-f11f-49a9-b8d4-ca1082291e45
Nardini, E.
b6e481a1-fa5c-4cd1-a059-b7dc4159ca50
Boorman, P. G.
e5240793-37c1-4b7b-9840-3b996cef8dd3
Parker, M. L.
a9e0d5a2-8922-4767-be1d-fb933e0ade5c
Sim, S. A.
7df85a4e-ebca-4700-b95c-90a6427985ea
Barret, D.
d433f77a-8014-4933-83c7-1720f0561168
Kammoun, E.
6fa7cac3-806a-4eca-a27a-39d0ab742401
Middei, R.
233de299-9f95-45d6-934e-3c0e519cbdcb
Giustini, M.
95252c16-b214-4a63-bc56-1614149c2e38
Brusa, M.
c3584dba-ccd9-4b28-8dda-dc93a51c038c
Cabrera, J. Pérez
eb84e271-f906-4f79-b5f4-31cf1a837573
Marchesi, S.
35a21872-79e0-485d-85c3-93f905887da0
1 October 2022
Matzeu, G. A.
35f2b40d-1f1f-453a-90d5-408a4dbba3dd
Lieu, M.
5b8dd08d-030d-4435-97d6-a33417a25cd0
Costa, M. T.
25731ed2-98ca-4038-af7c-1edf74483ef6
Reeves, J. N.
e6745f62-5486-4be2-be7e-c6c8959649dc
Braito, V.
9a460089-e2ce-4ad0-a254-2a6997076a38
Dadina, M.
b746bbb7-f11f-49a9-b8d4-ca1082291e45
Nardini, E.
b6e481a1-fa5c-4cd1-a059-b7dc4159ca50
Boorman, P. G.
e5240793-37c1-4b7b-9840-3b996cef8dd3
Parker, M. L.
a9e0d5a2-8922-4767-be1d-fb933e0ade5c
Sim, S. A.
7df85a4e-ebca-4700-b95c-90a6427985ea
Barret, D.
d433f77a-8014-4933-83c7-1720f0561168
Kammoun, E.
6fa7cac3-806a-4eca-a27a-39d0ab742401
Middei, R.
233de299-9f95-45d6-934e-3c0e519cbdcb
Giustini, M.
95252c16-b214-4a63-bc56-1614149c2e38
Brusa, M.
c3584dba-ccd9-4b28-8dda-dc93a51c038c
Cabrera, J. Pérez
eb84e271-f906-4f79-b5f4-31cf1a837573
Marchesi, S.
35a21872-79e0-485d-85c3-93f905887da0
Matzeu, G. A., Lieu, M., Costa, M. T., Reeves, J. N., Braito, V., Dadina, M., Nardini, E., Boorman, P. G., Parker, M. L., Sim, S. A., Barret, D., Kammoun, E., Middei, R., Giustini, M., Brusa, M., Cabrera, J. Pérez and Marchesi, S.
(2022)
A new emulated Monte Carlo radiative transfer disc-wind model: X-Ray Accretion Disc-wind Emulator - xrade.
Monthly Notices of the Royal Astronomical Society, 515 (4), .
(doi:10.1093/mnras/stac2155).
Abstract
We present a new X-Ray Accretion Disc-wind Emulator (xrade) based on the 2.5D Monte Carlo radiative transfer code that provides a physically motivated, self-consistent treatment of both absorption and emission from a disc wind by computing the local ionization state and velocity field within the flow. xrade is then implemented through a process that combines X-ray tracing with supervised machine learning. We develop a novel emulation method consisting in training, validating, and testing the simulated disc-wind spectra into a purposely built artificial neural network. The trained emulator can generate a single synthetic spectrum for a particular parameter set in a fraction of a second, in contrast to the few hours required by a standard Monte Carlo radiative transfer pipeline. The emulator does not suffer from interpolation issues with multidimensional spaces that are typically faced by traditional X-ray fitting packages such as xspec. xrade will be suitable to a wide number of sources across the black hole mass, ionizing luminosity, and accretion rate scales. As an example, we demonstrate the applicability of xrade to the physical interpretation of the X-ray spectra of the bright quasar PDS 456, which hosts the best-established accretion disc wind observed to date. We anticipate that our emulation method will be an indispensable tool for the development of high-resolution theoretical models, with the necessary flexibility to be optimized for the next generation microcalorimeters onboard future missions, like X-Ray Imaging and Spectroscopy Mission (XRISM)/Resolve and Athena/X-ray Integral Field Unit (X-IFU). This tool can also be implemented across a wide variety of X-ray spectral models and beyond.
Text
2207.13731v1
- Author's Original
More information
Accepted/In Press date: 27 July 2022
Published date: 1 October 2022
Additional Information:
Publisher Copyright:
© 2022 The Author(s) Published by Oxford University Press on behalf of Royal Astronomical Society.
Keywords:
galaxies: active, galaxies: individual: PDS 456, methods: numerical, radiative transfer, techniques: spectroscopic
Identifiers
Local EPrints ID: 472620
URI: http://eprints.soton.ac.uk/id/eprint/472620
ISSN: 1365-2966
PURE UUID: 91c49719-c56d-427a-8a44-93f75ec07f88
Catalogue record
Date deposited: 12 Dec 2022 17:47
Last modified: 16 Mar 2024 23:43
Export record
Altmetrics
Contributors
Author:
G. A. Matzeu
Author:
M. Lieu
Author:
M. T. Costa
Author:
J. N. Reeves
Author:
V. Braito
Author:
M. Dadina
Author:
E. Nardini
Author:
P. G. Boorman
Author:
M. L. Parker
Author:
S. A. Sim
Author:
D. Barret
Author:
E. Kammoun
Author:
R. Middei
Author:
M. Giustini
Author:
M. Brusa
Author:
J. Pérez Cabrera
Author:
S. Marchesi
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics