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Hyperspectral anomaly detection (HAD), a crucial approach for many civilian and military applications, seeks to identify pixels with spectral signatures that are anomalous relative to a preponderance of background signatures. Significant…

Computer Vision and Pattern Recognition · Computer Science 2025-10-02 Abu Hasnat Mohammad Rubaiyat , Jordan Vincent , Colin Olson

We aim to improve upon contemporary methods to estimate host-galaxy reddening of stripped-envelope (SE) supernovae (SNe). To this end the Carnegie Supernova Project (CSP-I) SE SNe photometry data release, consisting of nearly three dozen…

Current cosmological analyses which use Type Ia supernova (SN Ia) observations combine SN samples to expand the redshift range beyond that of a single sample and increase the overall sample size. The inhomogeneous photometric calibration…

Large time-domain sky surveys generate extensive multi-year catalogs of light curves in which scientifically valuable transients, such as supernovae (SNe), are vastly outnumbered by artifacts and routine star variability. While supervised…

Instrumentation and Methods for Astrophysics · Physics 2026-03-11 Semenikhin T. A. , Kornilov M. V. , Pruzhinskaya M. V. , Krushinsky V. V. , Malanchev K. L. , Dodin A.

We present two supernovae (SNe) discovered with the Hubble Space Telescope (HST) in the Cosmic Assembly Near-infrared Deep Extragalactic Legacy Survey (CANDELS), an HST multi-cycle treasury program. We classify both objects as Type Ia SNe…

We present a novel method to produce empirical generative models of all kinds of astronomical transients from datasets of unlabeled light curves. Our hybrid model, that we call ParSNIP, uses a neural network to model the unknown intrinsic…

Instrumentation and Methods for Astrophysics · Physics 2021-12-08 Kyle Boone

The Zwicky Transient Facility (ZTF) was expected to detect more than one strong gravitationally-lensed supernova (glSN) per year, but only one event was identified in the first four years of the survey. This work investigates selection…

High Energy Astrophysical Phenomena · Physics 2024-06-04 A. Sagués Carracedo , A. Goobar , E. Mörtsell , N. Arendse , J. Johansson , A. Townsend , S. Dhawan , J. Nordin , J. Sollerman , S. Schulze

Hyperspectral images with high spectral resolution provide new insights into recognizing subtle differences in similar substances. However, object detection in hyperspectral images faces significant challenges in intra- and inter-class…

Computer Vision and Pattern Recognition · Computer Science 2025-12-23 Xiao He , Chang Tang , Xinwang Liu , Wei Zhang , Zhimin Gao , Chuankun Li , Shaohua Qiu , Jiangfeng Xu

Time-domain surveys such as the Zwicky Transient Facility (ZTF) have opened a new frontier in the discovery and characterization of transients. While photometric light curves provide broad temporal coverage, spectroscopic observations…

We construct spectra of supernovae interacting strongly with a circumstellar medium (CSM) by adding SN templates, a black-body continuum and an emission-line spectrum. In a Monte Carlo simulation we generate more than 800 spectra,…

Early-time spectroscopy of supernovae (SNe), acquired within days of explosion, yields crucial insights into their outermost ejecta layers, facilitating the study of their environments, progenitor systems, and explosion mechanisms. Recent…

High Energy Astrophysical Phenomena · Physics 2026-01-28 Harry Addison , Chris Frohmaier , Kate Maguire , Robert C. Nichol , Isobel Hook , Stephen J. Smartt

With the upcoming Vera C.~Rubin Observatory Legacy Survey of Space and Time (LSST), it is expected that only $\sim 0.1\%$ of all transients will be classified spectroscopically. To conduct studies of rare transients, such as Type I…

High Energy Astrophysical Phenomena · Physics 2023-07-18 Brian Hsu , Griffin Hosseinzadeh , V. Ashley Villar , Edo Berger

Hyperspectral Image (HSI) classification is an important issue in remote sensing field with extensive applications in earth science. In recent years, a large number of deep learning-based HSI classification methods have been proposed.…

Computer Vision and Pattern Recognition · Computer Science 2023-09-04 Ning Chen , Jun Yue , Leyuan Fang , Shaobo Xia

We present a novel method of classifying Type Ia supernovae using convolutional neural networks, a neural network framework typically used for image recognition. Our model is trained on photometric information only, eliminating the need for…

Instrumentation and Methods for Astrophysics · Physics 2021-11-10 Helen Qu , Masao Sako , Anais Möller , Cyrille Doux

Due to high-cadence automated surveys, we can now detect and classify supernovae (SNe) within a few days after explosion, if not earlier. Early-time spectra of young SNe directly probe the outermost layers of the ejecta, providing insights…

Type IIn supernovae (SNe IIn) are a relatively infrequently observed subclass of SNe whose photometric and spectroscopic properties are varied. A common thread among SNe IIn are the complex multiple-component hydrogen Balmer lines. Owing to…

Solar and Stellar Astrophysics · Physics 2021-07-19 C. L. Ransome , S. M. Habergham-Mawson , M. J. Darnley , P. A. James , A. V. Filippenko , E. M. Schlegel

We present the Spectroscopic Classification of Astronomical Transients (SCAT) survey, which is dedicated to spectrophotometric observations of transient objects such as supernovae and tidal disruption events. SCAT uses the SuperNova…

Over the past decade wide-field optical time-domain surveys have increased the discovery rate of transients to the point that $\lesssim 10\%$ are being spectroscopically classified. Despite this, these surveys have enabled the discovery of…

High Energy Astrophysical Phenomena · Physics 2020-12-02 Sebastian Gomez , Edo Berger , Peter K. Blanchard , Griffin Hosseinzadeh , Matt Nicholl , V. Ashley Villar , Yao Yin

We present an overview of a deep transient survey of the COSMOS field with the Subaru Hyper Suprime-Cam (HSC). The survey was performed for the 1.77 deg$^2$ ultra-deep layer and 5.78 deg$^2$ deep layer in the Subaru Strategic Program over…