Evaluating the efficacy of a data cube treatment procedure for kinematic analyses: application to NGC 3115 and NGC 4699
R. B. Menezes, L. D. B. Sonoda, Patr\'icia da Silva, A. T. Monteiro, T. V. Ricci, R. G. Bravo, D. D. V. Gueter, V. C. Parro

TL;DR
This study assesses a data cube treatment method for astronomical kinematic analysis, demonstrating that filtering and deconvolution improve parameter certainty without compromising the analysis of galaxy data.
Contribution
We evaluate and confirm that our data cube treatment procedure enhances the accuracy of dynamical modeling in galaxy kinematic studies.
Findings
Uncertainty in supermassive black hole mass estimates decreased by over 40%.
Data treatment did not alter the compatibility of results across different data cube versions.
The procedure improves data quality and analysis reliability in galaxy kinematic studies.
Abstract
Data cubes have been increasingly used in astronomy. These data sets, however, are usually affected by instrumental effects and high-frequency noise. In this work, we evaluate the efficacy of a data cube treatment methodology, previously proposed by our research group, for analyses focused on the stellar and gas kinematics. To do that, we used data cubes of the central regions of the galaxies NGC 3115 and NGC 4699, obtained with the Integral Field Unit of the Gemini Multi-Object Spectrograph. For each galaxy, we analysed three data cubes: non-treated, filtered (with the Butterworth spatial filtering) and filtered and deconvolved (with the Richardson-Lucy deconvolution). For each data cube, we performed a dynamical modelling, using Jeans Anisotropic Models, to obtain, among other parameters, the masses of the central supermassive black holes. Both for NGC 3115 and NGC 4699, the values of…
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Taxonomy
TopicsGalaxies: Formation, Evolution, Phenomena · Astronomy and Astrophysical Research · Astrophysical Phenomena and Observations
