Search Results - "Villar, V. Ashley"

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    Superluminous Supernovae in LSST: Rates, Detection Metrics, and Light-curve Modeling by Villar, V. Ashley, Nicholl, Matt, Berger, Edo

    Published in The Astrophysical journal (20-12-2018)
    “…We explore and demonstrate the capabilities of the upcoming Large Synoptic Survey Telescope (LSST) to study Type I superluminous supernovae (SLSNe). We fit the…”
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    Theoretical Models of Optical Transients. I. A Broad Exploration of the Duration-Luminosity Phase Space by Villar, V. Ashley, Berger, Edo, Metzger, Brian D., Guillochon, James

    Published in The Astrophysical journal (01-11-2017)
    “…The duration-luminosity phase space (DLPS) of optical transients is used, mostly heuristically, to compare various classes of transient events, to explore the…”
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    The Pre-explosion Mass Distribution of Hydrogen-poor Superluminous Supernova Progenitors and New Evidence for a Mass-Spin Correlation by Blanchard, Peter K., Berger, Edo, Nicholl, Matt, Villar, V. Ashley

    Published in The Astrophysical journal (01-07-2020)
    “…Despite indications that superluminous supernovae (SLSNe) originate from massive progenitors, the lack of a uniformly analyzed statistical sample has so far…”
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    The Luminous and Double-peaked Type Ic Supernova 2019stc: Evidence for Multiple Energy Sources by Gomez, Sebastian, Berger, Edo, Hosseinzadeh, Griffin, Blanchard, Peter K., Nicholl, Matt, Villar, V. Ashley

    Published in The Astrophysical journal (01-06-2021)
    “…Abstract We present optical photometry and spectroscopy of SN 2019stc (=ZTF19acbonaa), an unusual Type Ic supernova (SN Ic) at a redshift of z = 0.117. SN…”
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    SBI++: Flexible, Ultra-fast Likelihood-free Inference Customized for Astronomical Applications by Wang, Bingjie, Leja, Joel, Villar, V. Ashley, Speagle, Joshua S.

    Published in Astrophysical journal. Letters (01-07-2023)
    “…Abstract Flagship near-future surveys targeting 10 8 –10 9 galaxies across cosmic time will soon reveal the processes of galaxy assembly in unprecedented…”
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    Identifying Tidal Disruption Events with an Expansion of the FLEET Machine-learning Algorithm by Gomez, Sebastian, Villar, V. Ashley, Berger, Edo, Gezari, Suvi, van Velzen, Sjoert, Nicholl, Matt, Blanchard, Peter K., Alexander, Kate. D.

    Published in The Astrophysical journal (01-06-2023)
    “…Abstract We present an expansion of FLEET, a machine-learning algorithm optimized to select transients that are most likely tidal disruption events (TDEs)…”
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    Superphot+: Real-time Fitting and Classification of Supernova Light Curves by de Soto, Kaylee M., Villar, V. Ashley, Berger, Edo, Gomez, Sebastian, Hosseinzadeh, Griffin, Branton, Doug, Campos, Sandro, DeLucchi, Melissa, Kubica, Jeremy, Lynn, Olivia, Malanchev, Konstantin, Malz, Alex I.

    Published in The Astrophysical journal (01-10-2024)
    “…Abstract Photometric classifications of supernova (SN) light curves have become necessary to utilize the full potential of large samples of observations…”
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    The First Two Years of FLEET: An Active Search for Superluminous Supernovae by Gomez, Sebastian, Berger, Edo, Blanchard, Peter K., Hosseinzadeh, Griffin, Nicholl, Matt, Hiramatsu, Daichi, Villar, V. Ashley, Yin, Yao

    Published in The Astrophysical journal (01-06-2023)
    “…Abstract In 2019 November, we began operating Finding Luminous and Exotic Extragalactic Transients (FLEET), a machine-learning algorithm designed to…”
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    Latent Stochastic Differential Equations for Modeling Quasar Variability and Inferring Black Hole Properties by Fagin, Joshua, Park, Ji Won, Best, Henry, Chan, James H. H., Ford, K. E. Saavik, Graham, Matthew J., Villar, V. Ashley, Ho, Shirley, O’Dowd, Matthew

    Published in The Astrophysical journal (01-04-2024)
    “…Abstract Quasars are bright and unobscured active galactic nuclei (AGN) thought to be powered by the accretion of matter around supermassive black holes at the…”
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    Detection and parameter estimation of gravitational waves from binary neutron-star mergers in real LIGO data using deep learning by Krastev, Plamen G., Gill, Kiranjyot, Villar, V. Ashley, Berger, Edo

    Published in Physics letters. B (10-04-2021)
    “…One of the key challenges of real-time detection and parameter estimation of gravitational waves from compact binary mergers is the computational cost of…”
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    FLEET: A Redshift-agnostic Machine Learning Pipeline to Rapidly Identify Hydrogen-poor Superluminous Supernovae by Gomez, Sebastian, Berger, Edo, Blanchard, Peter K., Hosseinzadeh, Griffin, Nicholl, Matt, Villar, V. Ashley, Yin, Yao

    Published in The Astrophysical journal (01-11-2020)
    “…Over the past decade wide-field optical time-domain surveys have increased the discovery rate of transients to the point that 10% are being spectroscopically…”
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    Photometrically Classified Superluminous Supernovae from the Pan-STARRS1 Medium Deep Survey: A Case Study for Science with Machine-learning-based Classification by Hsu, Brian, Hosseinzadeh, Griffin, Villar, V. Ashley, Berger, Edo

    Published in The Astrophysical journal (01-09-2022)
    “…Abstract With the upcoming Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), it is expected that only ∼0.1% of all transients will be…”
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    “Super-kilonovae” from Massive Collapsars as Signatures of Black Hole Birth in the Pair-instability Mass Gap by Siegel, Daniel M., Agarwal, Aman, Barnes, Jennifer, Metzger, Brian D., Renzo, Mathieu, Villar, V. Ashley

    Published in The Astrophysical journal (01-12-2022)
    “…Abstract The core collapse of rapidly rotating massive ∼ 10 M ⊙ stars (“collapsars”), and the resulting formation of hyperaccreting black holes, comprise a…”
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    Searching for Anomalies in the ZTF Catalog of Periodic Variable Stars by Chan, Ho-Sang, Villar, V. Ashley, Cheung, Siu-Hei, Ho, Shirley, O’Grady, Anna J. G., Drout, Maria R., Renzo, Mathieu

    Published in The Astrophysical journal (01-06-2022)
    “…Abstract Periodic variables illuminate the physical processes of stars throughout their lifetime. Wide-field surveys continue to increase our discovery rates…”
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