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We have obtained 1087 NIR (JHKs) measurements of 21 SNe Ia using PAIRITEL, nearly doubling the number of well-sampled NIR SN Ia light curves. These data strengthen the evidence that SNe Ia are excellent standard candles in the NIR, even…

This is the first release of optical spectroscopic data of low-redshift Type Ia supernovae (SNe Ia) by the Carnegie Supernova Project including 604 previously unpublished spectra of 93 SNe Ia. The observations cover a range of phases from…

Type Ia Supernovae (SNe Ia) have been extensively used as standardisable candles in the optical for several decades. However, SNe Ia have shown to be more homogeneous in the near-infrared (NIR), where the effect of dust extinction is also…

Unburned carbon is potentially a powerful probe of Type Ia supernova (SN) explosion mechanisms. We present comprehensive optical and near-infrared (NIR) data on the "transitional" Type Ia SN 2015bp. An early NIR spectrum ($t = -$9.9 days…

SHAP is a popular method for measuring variable importance in machine learning models. In this paper, we study the algorithm used to estimate SHAP scores and outline its connection to the functional ANOVA decomposition. We use this…

Methodology · Statistics 2022-11-14 Andrew Herren , P. Richard Hahn

Type Ia supernovae (SNae Ia), standardisable candles that allow tracing the expansion history of the Universe, are instrumental in constraining cosmological parameters, particularly dark energy. State-of-the-art likelihood-based analyses…

Cosmology and Nongalactic Astrophysics · Physics 2023-03-14 Konstantin Karchev , Roberto Trotta , Christoph Weniger

Many new types of sensing or imaging surfaces are based on periodic thin films. It is explained how the response of those surfaces to partially coherent fields can be fully characterized by a set of functions in the wavenumber spectrum…

The ever-growing sample of observed supernovae enhances our capacity for comprehensive supernova population studies, providing a richer dataset for understanding the diverse characteristics of Type Ia supernovae and possibly that of their…

Instrumentation and Methods for Astrophysics · Physics 2024-01-12 Chang Bi , Tyrone E. Woods , Sébastien Fabbro

In this paper, we propose to estimate the spatial curvature of the universe and the cosmic opacity in a model-independent way with expansion rate measurements, $H(z)$, and type Ia supernova (SNe Ia). On the one hand, using a nonparametric…

Cosmology and Nongalactic Astrophysics · Physics 2017-10-04 Guo-Jian Wang , Jun-Jie Wei , Zheng-Xiang Li , Jun-Qing Xia , Zong-Hong Zhu

The effect of metallicity on the observed light of Type Ia supernovae (SNe Ia) could lead to systematic errors as the absolute magnitudes of local and distant SNe Ia are compared to measure luminosity distances and determine cosmological…

Solar and Stellar Astrophysics · Physics 2015-08-19 Peter J. Brown , E. Baron , Peter Milne , Peter W. A. Roming , Lifan Wang

We combine the CfA3 supernova Type Ia (SN Ia) sample with samples from the literature to calculate improved constraints on the dark energy equation of state parameter, w. The CfA3 sample is added to the Union set of Kowalski et al. (2008)…

Cosmology and Nongalactic Astrophysics · Physics 2009-07-22 Malcolm Hicken , W. Michael Wood-Vasey , Stephane Blondin , Peter Challis , Saurabh Jha , Patrick L. Kelly , Armin Rest , Robert P. Kirshner

Despite the importance of Type Ia supernovae as standard candles for cosmology and to the chemical evolution of the Universe, we still have no consistent picture of the nature of these events. Much progress has been made in the…

High Energy Astrophysical Phenomena · Physics 2010-12-13 M. Kromer , S. A. Sim , W. Hillebrandt

To adequately constrain the frequency of energy deposition in active region cores in the solar corona, systematic comparisons between detailed models and observational data are needed. In this paper, we describe a pipeline for forward…

Solar and Stellar Astrophysics · Physics 2019-07-31 W. T. Barnes , S. J. Bradshaw , N. M. Viall

We propose a robust, quantitative method to compare the synthetic light curves of a Type Ia Supernova (SNIa) explosion model with a large set of observed SNeIa, and derive a figure of merit for the explosion model's agreement with…

Cosmology and Nongalactic Astrophysics · Physics 2013-08-05 Benedikt Diemer , Richard Kessler , Carlo Graziani , George C. Jordan , Donald Q. Lamb , Min Long , Daniel R. van Rossum

Spectral indices such as NDVI have driven vegetation monitoring for decades, yet their design remains largely manual and ad hoc. Their usefulness stems not only from their empirical performance, but also from algebraic forms that remain…

Computer Vision and Pattern Recognition · Computer Science 2026-04-01 Ali Lotfi , Adam Carter , Thuan Ha , Mohammad Meysami , Kwabena Nketia , Steve Shirtliffe

We present a new empirical method for fitting multicolor light curves of Type Ia supernovae. Our method combines elements from two widely used techniques in the literature: the delta_m15 template fitting method and the Multicolor…

Astrophysics · Physics 2008-11-26 Jose Luis Prieto , Armin Rest , Nicholas B. Suntzeff

We present a method that computes an interpretable representation of material appearance within a highly compact, disentangled latent space. This representation is learned in a self-supervised fashion using an adapted FactorVAE. We train…

Graphics · Computer Science 2025-07-18 Santiago Jimenez-Navarro , Julia Guerrero-Viu , Belen Masia

We present griz light curves of 146 spectroscopically confirmed Type Ia Supernovae ($0.03 < z <0.65$) discovered during the first 1.5 years of the Pan-STARRS1 Medium Deep Survey. The Pan-STARRS1 natural photometric system is determined by a…

To use strongly lensed Type Ia supernovae (LSNe Ia) for cosmology, a time-delay measurement between the multiple supernova (SN) images is necessary. The sharp rise and decline of SN Ia light curves make them promising for measuring time…

High Energy Astrophysical Phenomena · Physics 2021-02-17 S. Huber , S. H. Suyu , U. M. Noebauer , J. H. H. Chan , M. Kromer , S. A. Sim , D. Sluse , S. Taubenberger
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