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Gaussian process regression for astronomical time series
S Aigrain, D Foreman-Mackey - Annual Review of Astronomy …, 2023 - annualreviews.org
The past two decades have seen a major expansion in the availability, size, and precision of
time-domain data sets in astronomy. Owing to their unique combination of flexibility …
time-domain data sets in astronomy. Owing to their unique combination of flexibility …
The Dawes Review 10: The impact of deep learning for the analysis of galaxy surveys
F Lanusse - Publications of the Astronomical Society of Australia, 2023 - cambridge.org
The amount and complexity of data delivered by modern galaxy surveys has been steadily
increasing over the past years. New facilities will soon provide imaging and spectra of …
increasing over the past years. New facilities will soon provide imaging and spectra of …
SALT3: An improved type ia supernova model for measuring cosmic distances
WD Kenworthy, DO Jones, M Dai… - The Astrophysical …, 2021 - iopscience.iop.org
A spectral-energy distribution (SED) model for Type Ia supernovae (SNe Ia) is a critical tool
for measuring precise and accurate distances across a large redshift range and constraining …
for measuring precise and accurate distances across a large redshift range and constraining …
The Young Supernova Experiment: survey goals, overview, and operations
Time-domain science has undergone a revolution over the past decade, with tens of
thousands of new supernovae (SNe) discovered each year. However, several observational …
thousands of new supernovae (SNe) discovered each year. However, several observational …
Machine learning for observational cosmology
An array of large observational programs using ground-based and space-borne telescopes
is planned in the next decade. The forthcoming wide-field sky surveys are expected to …
is planned in the next decade. The forthcoming wide-field sky surveys are expected to …
The young supernova experiment data release 1 (YSE DR1): light curves and photometric classification of 1975 supernovae
Abstract We present the Young Supernova Experiment Data Release 1 (YSE DR1),
comprised of processed multicolor PanSTARRS1 griz and Zwicky Transient Facility (ZTF) gr …
comprised of processed multicolor PanSTARRS1 griz and Zwicky Transient Facility (ZTF) gr …
First impressions: early-time classification of supernovae using host-galaxy information and shallow learning
Substantial effort has been devoted to the characterization of transient phenomena from
photometric information. Automated approaches to this problem have taken advantage of …
photometric information. Automated approaches to this problem have taken advantage of …
Unveiling the Universe with emerging cosmological probes
The detection of the accelerated expansion of the Universe has been one of the major
breakthroughs in modern cosmology. Several cosmological probes (Cosmic Microwave …
breakthroughs in modern cosmology. Several cosmological probes (Cosmic Microwave …
Cosmological results from the RAISIN survey: using Type Ia Supernovae in the near infrared as a novel path to measure the dark energy equation of state
DO Jones, KS Mandel, RP Kirshner… - The Astrophysical …, 2022 - iopscience.iop.org
Abstract Type Ia supernovae (SNe Ia) are more precise standardizable candles when
measured in the near-infrared (NIR) than in the optical. With this motivation, from 2012 to …
measured in the near-infrared (NIR) than in the optical. With this motivation, from 2012 to …
Searching for changing-state agns in massive data sets. i. applying deep learning and anomaly-detection techniques to find agns with anomalous variability behaviors
The classic classification scheme for active galactic nuclei (AGNs) was recently challenged
by the discovery of the so-called changing-state (changing-look) AGNs. The physical …
by the discovery of the so-called changing-state (changing-look) AGNs. The physical …