11 citations · 11 across the 5 of their papers we have counts for
8 papers
High-spectral-resolution Observations of the [S II] Emission-line Doublet in the Filamentary Nebula Surrounding NGC 1275
Benjamin Vigneron, Julie Hlavacek-Larrondo, Carter Lee Rhea +10
We analyze new high-spectral resolution SITELLE observations (R = = 7000) of the filamentary nebula surrounding NGC 1275, central galaxy of the Perseus cluster. We present h…
Mapping the Filamentary Nebula of NGC 1275 with Multiwavelength SITELLE Observations
Carter Lee Rhea, Julie Hlavacek-Larrondo, Marie-Lou Gendron-Marsolais +11
The filamentary nebula encompassing the central galaxy of the Perseus Cluster, NGC 1275, is a complex structure extending dozens of kiloparsecs from NGC 1275. Decades of previous w…
Reconstructing Robust Background IFU spectra using Machine Learning
Carter Lee Rhea, Julie Hlavacek-Larrondo, Justine Giroux +6
In astronomy, spectroscopy consists of observing an astrophysical source and extracting its spectrum of electromagnetic radiation. Once extracted, a model is fit to the spectra to…
A Machine Learning Approach to Galactic Emission-Line Region Classification
Carter Lee Rhea, Laurie Rousseau-Nepton, Ismael Moumen +13
Diagnostic diagrams of emission-line ratios have been used extensively to categorize extragalactic emission regions; however, these diagnostics are occasionally at odds with each o…
LUCI: A Python package for SITELLE spectral analysis
Carter Lee Rhea, Julie Hlavacek-Larrondo, Laurie Rousseau-Nepton +2
High-resolution optical integral field units (IFUs) are rapidly expanding our knowledge of extragalactic emission nebulae in galaxies and galaxy clusters. By studying the spectra o…
A Machine Learning Approach to Integral Field Unit Spectroscopy Observations: II. HII Region LineRatios
Carter Rhea, Laurie Rousseau-Nepton, Simon Prunet +5
In the first paper of this series (Rhea et al. 2020), we demonstrated that neural networks can robustly and efficiently estimate kinematic parameters for optical emission-line spec…