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The use of Type Ia Supernovae (SNe Ia) to measure cosmological parameters has grown significantly over the past two decades. However, there exists a significant diversity in the SN Ia population that is not well understood. Over-luminous SN…

Instrumentation and Methods for Astrophysics · Physics 2020-12-09 Daniel Perrefort , Yike Zhang , Lluís Galbany , W. M. Wood-Vasey , Santiago González-Gaitán

Type-I Superluminous Supernovae (SLSNe) are an exotic class of core-collapse SN (CCSN) that can be up to 100 times brighter and more slowly-evolving than normal CCSNe. SLSNe represent the end-stages of the most massive stripped stars, and…

Superluminous supernovae (SLSNe) are a class of intense celestial events that can be standardized for measuring cosmological parameters, bridging the gap between type Ia supernovae and the cosmic microwave background. In this work, we…

High Energy Astrophysical Phenomena · Physics 2024-07-01 Xuan-Dong Jia , Jian-Ping Hu , Fa-Yin Wang , Zi-Gao Dai

Large numbers of supernovae (SNe) have been discovered in recent years, and many more will be found in the near future. Once discovered, further study of a SN and its possible use as an astronomical tool (e.g., as a distance estimator)…

What are Type II-Linear supernovae (SNe II-L)? This class, which has been ill defined for decades, now receives significant attention -- both theoretically, in order to understand what happens to stars in the ~15-25Mo range, and…

High Energy Astrophysical Phenomena · Physics 2015-06-22 T. Faran , D. Poznanski , A. V. Filippenko , R. Chornock , R. J. Foley , M. Ganeshalingam , D. C. Leonard , W. Li , M. Modjaz , F. J. D. Serduke , J. M. Silverman

In recent years, wide-field sky surveys providing deep multi-band imaging have presented a new path for indirectly characterizing the progenitor populations of core-collapse supernovae (SN): systematic light curve studies. We assemble a set…

Large photometric surveys with the aim of identifying many Type Ia supernovae (SNe) at moderate redshift are challenged in separating these SNe from other SN types. We are motivated to identify Type Ia SNe based only on broadband…

Astrophysics · Physics 2008-11-26 Benjamin D. Johnson , Arlin P. S. Crotts

The Pan-STARRS1 (PS1) survey has obtained imaging in 5 bands (grizy_P1) over 10 Medium Deep Survey (MDS) fields covering a total of 70 square degrees. This paper describes the search for apparently hostless supernovae (SNe) within the first…

We present the first Hubble diagram of superluminous supernovae (SLSNe) out to a redshift of two, together with constraints on the matter density, $\Omega_{\rm M}$, and the dark energy equation-of-state parameter, $w(\equiv p/\rho)$. We…

While the spectroscopic classification scheme for Stripped envelope supernovae (SESNe) is clear, and we know that they originate from massive stars that lost some or all their envelopes of Hydrogen and Helium, the photometric evolution of…

High Energy Astrophysical Phenomena · Physics 2024-05-09 Somayeh Khakpash , Federica B. Bianco , Maryam Modjaz , Willow F. Fortino , Alexander Gagliano , Conor Larison , Tyler A. Pritchard

We search for the reasons behind the spectroscopic diversity of hydrogen-poor superluminous supernovae (SLSNe-I) in the pre-maximum phase. Our analysis is a continuation of the paper of \citet{ktr21}, who disclosed two new subtypes of…

High Energy Astrophysical Phenomena · Physics 2022-11-30 Réka Könyves-Tóth

A number of Type I (hydrogenless) superluminous supernova (SLSN) events have been discovered recently. However, their nature remains debatable. One of the most promising ideas is the shock-interaction mechanism, but only simplified…

High Energy Astrophysical Phenomena · Physics 2016-09-21 Elena Sorokina , Sergei Blinnikov , Ken'ichi Nomoto , Robert Quimby , Alexey Tolstov

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

As part of the cosmology analysis using Type Ia Supernovae (SN Ia) in the Dark Energy Survey (DES), we present photometrically identified SN Ia samples using multi-band light-curves and host galaxy redshifts. For this analysis, we use the…

We present a new method for probabilistically classifying supernovae (SNe) without using SN spectral or photometric data. Unlike all previous studies to classify SNe without spectra, this technique does not use any SN photometry. Instead,…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-17 Ryan J. Foley , Kaisey Mandel

The classification of supernovae (SNe) and its impact on our understanding of the explosion physics and progenitors have traditionally been based on the presence or absence of certain spectral features. However, current and upcoming…

In November 2020, the Swift team announced a major update to the calibration of the UltraViolet and Optical Telescope (UVOT) data to correct for the gradual loss of sensitivity over time. Beginning in roughly 2015, the correction affected…

High Energy Astrophysical Phenomena · Physics 2025-09-12 Jason T. Hinkle , Benjamin J. Shappee , Michael A. Tucker

The revolutionary discovery of dark energy and accelerating cosmic expansion was made with just 42 type Ia supernovae (SNe Ia) in 1999. Since then, large synoptic surveys, e.g., Dark Energy Survey (DES), have observed thousands more SNe Ia…

Cosmology and Nongalactic Astrophysics · Physics 2024-06-10 Helen Qu

An increasing number of so-called superluminous supernovae (SLSNe) are discovered. It is believed that at least some of them with slowly fading light curves originate in stellar explosions induced by the pair instability mechanism. Recent…

High Energy Astrophysical Phenomena · Physics 2015-10-05 Alexandra Kozyreva , S. Blinnikov

Superluminous supernovae (SLSNe) are very bright explosions that were only discovered recently and that show a preference for occurring in faint dwarf galaxies. Understanding why stellar evolution yields different types of stellar…