58 citations · 278 across the 10 of their papers we have counts for
11 papers
An Agnostic Approach to Building Empirical Type Ia Supernova Light Curves: Evidence for Intrinsic Chromatic Flux Variation Using Nearby Supernova Factory Data
Jared Hand, A. G. Kim, G. Aldering +35
We present a new empirical Type Ia supernova (SN Ia) model with three chromatic flux variation templates: one phase dependent and two phase independent. No underlying dust extincti…
Bump Morphology of the CMAGIC Diagram
L. Aldoroty, L. Wang, P. Hoeflich +38
We apply the color-magnitude intercept calibration method (CMAGIC) to the Nearby Supernova Factory SNe Ia spectrophotometric dataset. The currently existing CMAGIC parameters are t…
A Probabilistic Autoencoder for Type Ia Supernovae Spectral Time Series
George Stein, Uros Seljak, Vanessa Bohm +37
We construct a physically-parameterized probabilistic autoencoder (PAE) to learn the intrinsic diversity of type Ia supernovae (SNe Ia) from a sparse set of spectral time series. T…
Uniform Recalibration of Common Spectrophotometry Standard Stars onto the CALSPEC System using the SuperNova Integral Field Spectrograph
David Rubin, G. Aldering, P. Antilogus +35
We calibrate spectrophotometric optical spectra of 32 stars commonly used as standard stars, referenced to 14 stars already on the HST-based CALSPEC flux system. Observations of CA…
The Twins Embedding of Type Ia Supernovae I: The Diversity of Spectra at Maximum Light
K. Boone, G. Aldering, P. Antilogus +34
We study the spectral diversity of Type Ia supernovae (SNe Ia) at maximum light using high signal-to-noise spectrophotometry of 173 SNe Ia from the Nearby Supernova Factory. We dec…
The Twins Embedding of Type Ia Supernovae II: Improving Cosmological Distance Estimates
K. Boone, G. Aldering, P. Antilogus +34
We show how spectra of Type Ia supernovae (SNe Ia) at maximum light can be used to improve cosmological distance estimates. In a companion article, we used manifold learning to bui…
Anomaly detection in the Zwicky Transient Facility DR3
K. L. Malanchev, M. V. Pruzhinskaya, V. S. Korolev +11
We present results from applying the SNAD anomaly detection pipeline to the third public data release of the Zwicky Transient Facility (ZTF DR3). The pipeline is composed of 3 stag…
The SNEMO and SUGAR Companion Datasets
G. Aldering, P. Antilogus, C. Aragon +41
The Nearby Supernova Factory has made spectrophotometric observations of Type Ia supernovae since . This work presents an interim version of the data produced, including $210…
SUGAR: An improved empirical model of Type Ia Supernovae based on spectral features
P. -F. Léget, E. Gangler, F. Mondon +40
Type Ia Supernovae (SNe Ia) are widely used to measure the expansion of the Universe. Improving distance measurements of SNe Ia is one technique to better constrain the acceleratio…
Active Anomaly Detection for time-domain discoveries
Emille E. O. Ishida, Matwey V. Kornilov, Konstantin L. Malanchev +7
We present the first evidence that adaptive learning techniques can boost the discovery of unusual objects within astronomical light curve data sets. Our method follows an active l…
Anomaly Detection in the Open Supernova Catalog
Maria V. Pruzhinskaya, Konstantin L. Malanchev, Matwey V. Kornilov +4
In the upcoming decade large astronomical surveys will discover millions of transients raising unprecedented data challenges in the process. Only the use of the machine learning al…