48 citations · 129 across the 12 of their papers we have counts for
12 papers
A comparison of three neodymium atomic data sets for kilonova modeling
Christopher J. Fontes, Nicholas Vieira, Chris L. Fryer +4
We examine the impact of input neodymium (Nd) atomic data on the light curves and spectra of kilonovae, probing the sensitivity of kilonova observables to the atomic physics of thi…
Search For a Counterpart to the Subsolar Mass Gravitational Wave Candidate S251112cm
Nicholas Vieira, Noah Franz, Bhagya Subrayan +49
The recent candidate gravitational-wave (GW) alert from a compact object merger involving at least one subsolar mass (SSM) object has prompted questions about their origins. S25111…
Optimizing Kilonova Searches: A Case Study of the Type IIb SN 2025ulz in the Localization Volume of the Low-Significance Gravitational Wave Event S250818k
Noah Franz, Bhagya Subrayan, Charles D. Kilpatrick +54
Kilonovae, the ultraviolet/optical/infrared counterparts to binary neutron star mergers, are an exceptionally rare class of transients. Optical follow-up campaigns are plagued by c…
Spectroscopic r-Process Abundance Retrieval for Kilonovae III: Linking Spectral and Light Curve Modeling of the GW170817 Kilonova
Nicholas Vieira, John J. Ruan, Daryl Haggard +2
The observed spectra and light curves of the kilonova produced by the GW170817 binary neutron star merger provide complementary insights, but modeling both the spectral- and time-d…
Emergence hour-by-hour of -process features in the kilonova AT2017gfo
Albert Sneppen, Darach Watson, Rasmus Damgaard +4
The spectral features in the optical/near-infrared counterparts of neutron star mergers (kilonovae, KNe), evolve dramatically on hour timescales. To examine the spectral evolution…
Explaining the GWSkyNet-Multi machine learning classifier predictions for gravitational-wave events
Nayyer Raza, Man Leong Chan, Daryl Haggard +5
GWSkyNet-Multi is a machine learning model developed for classification of candidate gravitational-wave events detected by the LIGO and Virgo observatories. The model uses limited…
Spectroscopic r-Process Abundance Retrieval for Kilonovae II: Lanthanides in the Inferred Abundance Patterns of Multi-Component Ejecta from the GW170817 Kilonova
Nicholas Vieira, John J. Ruan, Daryl Haggard +3
In kilonovae, freshly-synthesized -process elements imprint features on optical spectra, as observed in AT2017gfo, the counterpart to the GW170817 binary neutron star merger. Ho…
KilonovAE: Exploring Kilonova Spectral Features with Autoencoders
N. M. Ford, Nicholas Vieira, John J. Ruan +1
Kilonovae are likely a key site of heavy r-process element production in the Universe, and their optical/infrared spectra contain insights into both the properties of the ejecta an…
Spectroscopic r-Process Abundance Retrieval for Kilonovae I: The Inferred Abundance Pattern of Early Emission from GW170817
Nicholas Vieira, John J. Ruan, Daryl Haggard +4
Freshly-synthesized r-process elements in kilonovae ejecta imprint absorption features on optical spectra, as observed in the GW170817 binary neutron star merger. These spectral fe…
Mapping the Surface of Partially Cloudy Exoplanets is Hard
Lucas Teinturier, Nicholas Vieira, Elisa Jacquet +4
Reflected light photometry of terrestrial exoplanets could reveal the presence of oceans and continents, hence placing direct constraints on the current and long-term habitability…
GWSkyNet-Multi: A Machine Learning Multi-Class Classifier for LIGO-Virgo Public Alerts
Thomas C. Abbott, Eitan Buffaz, Nicholas Vieira +4
Compact object mergers which produce both detectable gravitational waves and electromagnetic emission can provide valuable insights into the neutron star equation of state, the ten…
A Deep CFHT Optical Search for a Counterpart to the Possible Neutron Star -- Black Hole Merger GW190814
Nicholas Vieira, John J. Ruan, Daryl Haggard +10
We present a wide-field optical imaging search for electromagnetic counterparts to the likely neutron star - black hole (NS-BH) merger GW190814/S190814bv. This compact binary merge…