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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.15672 |
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| _version_ | 1866908546986147840 |
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| author | Kanowski, Isaac Wisnioski, Emily Mendel, J. Trevor Marchal, Antoine Tsukui, Takafumi |
| author_facet | Kanowski, Isaac Wisnioski, Emily Mendel, J. Trevor Marchal, Antoine Tsukui, Takafumi |
| contents | We introduce an adaptable kinematic modelling tool called ROHSA-SNAPD, "Spatially Non-parametric Approach to PSF Deconvolution using ROHSA". ROHSA-SNAPD utilises kinematic regularisation to forward model the intrinsic emission-line flux and kinematics (velocity and linewidth) of 3D data cubes. Kinematic regularisation removes the need to assume an underlying rotation model (eg. exponential disc, tilted-ring) to deconvolve kinematic data. We evaluate the code on mock observations of simulated galaxies: one idealised disc model and three more complex galaxies from a cosmological simulation with varying levels of kinematic disturbance, from pre-merger to post-merger state. The mock observations are designed to approximate published results at $z\sim 1-2$ from 8-metre class near-infrared spectroscopic facilities, using realistic observational parameters including spatial and spectral resolution, noise and point spread function. We demonstrate that ROHSA-SNAPD can effectively recover the intrinsic kinematics of complex systems whilst accounting for observational effects. ROHSA-SNAPD is publicly released on Github. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_15672 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Spatially non-parametric recovery of intrinsic kinematic maps in pre- to post-merger galaxies Kanowski, Isaac Wisnioski, Emily Mendel, J. Trevor Marchal, Antoine Tsukui, Takafumi Astrophysics of Galaxies Instrumentation and Methods for Astrophysics We introduce an adaptable kinematic modelling tool called ROHSA-SNAPD, "Spatially Non-parametric Approach to PSF Deconvolution using ROHSA". ROHSA-SNAPD utilises kinematic regularisation to forward model the intrinsic emission-line flux and kinematics (velocity and linewidth) of 3D data cubes. Kinematic regularisation removes the need to assume an underlying rotation model (eg. exponential disc, tilted-ring) to deconvolve kinematic data. We evaluate the code on mock observations of simulated galaxies: one idealised disc model and three more complex galaxies from a cosmological simulation with varying levels of kinematic disturbance, from pre-merger to post-merger state. The mock observations are designed to approximate published results at $z\sim 1-2$ from 8-metre class near-infrared spectroscopic facilities, using realistic observational parameters including spatial and spectral resolution, noise and point spread function. We demonstrate that ROHSA-SNAPD can effectively recover the intrinsic kinematics of complex systems whilst accounting for observational effects. ROHSA-SNAPD is publicly released on Github. |
| title | Spatially non-parametric recovery of intrinsic kinematic maps in pre- to post-merger galaxies |
| topic | Astrophysics of Galaxies Instrumentation and Methods for Astrophysics |
| url | https://arxiv.org/abs/2509.15672 |