16 citations · 31 across the 9 of their papers we have counts for
10 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…
Updates to LUCI: A New Fitting Paradigm Using Mixture Density Networks
Carter L. Rhea, Julie Hlavacek-Larrondo, Laurie Rousseau-Nepton +1
LUCI is an general-purpose spectral line-fitting pipeline which natively integrates machine learning algorithms to initialize fit functions. LUCI currently uses point-estimates obt…
A Machine Learning Approach to Integral Field Unit Spectroscopy Observations: III. Disentangling Multiple Components in Hii regions
Carter Lee Rhea, Laurie Rousseau-Nepton, Simon Prunet +7
In the first two papers of this series (Rhea et al. 2020; Rhea et al. 2021), we demonstrated the dynamism of machine learning applied to optical spectral analysis by using neural n…
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…
Machine Learning Approach to Integral Field Unit Spectroscopy Observations: I. HII Region Kinematics
Carter L. Rhea, Laurie Rousseau-Nepton, Simon Prunet +2
SITELLE is a novel integral field unit spectroscopy instrument that has an impressive spatial (11 by 11 arcmin), spectral coverage, and spectral resolution (R=1-20000). SIGNALS is…
Mapping Gas Phase Abundances and Enrichment Patterns Across Galaxy Disks
Kathryn Kreckel, Danielle Berg, Guillermo A. Blanc +12
The distribution of gas-phase abundances in galaxy disks encodes the history of nucleosynthesis and transport through the interstellar medium (ISM) over cosmic time. Multi-object a…