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Type Ia supernovae (SNe Ia) are the largest thermonuclear explosions in the Universe. Their light output can be seen across great distances and has led to the discovery that the expansion rate of the Universe is accelerating. Despite the…

Astrophysics · Physics 2009-11-11 M. Zingale , A. S. Almgren , J. B. Bell , M. S. Day , C. A. Rendleman , S. E. Woosley

By searching the Open Supernova Catalog, an extra-galactic transient host galaxy database, and literature analyses, I present the largest sample of type Ia supernova (SN Ia) siblings to date. The sample comprises 158 galaxies, consisting of…

Cosmology and Nongalactic Astrophysics · Physics 2023-12-22 L. Kelsey

Type Ia supernovae (SNe Ia) are standarizable candles whose observed light curves can be used to infer their distances, which can in turn be used in cosmological analyses. As the quantity of observed SNe Ia grows with current and upcoming…

Instrumentation and Methods for Astrophysics · Physics 2024-10-29 Ana Sofía M. Uzsoy , Stephen Thorp , Matthew Grayling , Kaisey S. Mandel

We use a sample of 1338 spectroscopically confirmed and photometrically classified Type Ia Supernovae (SNe Ia), sourced from the CSP, CfA, SDSS-II, and SNLS supernova samples, to examine the relationships between SNe Ia and the galaxies…

Cosmology and Nongalactic Astrophysics · Physics 2017-10-18 Syed A. Uddin , Jeremy Mould , Chris Lidman , Vanina Ruhlmann-Kleider , Bonnie R. Zhang

We introduce a method for identifying "twin" Type Ia supernovae, and using them to improve distance measurements. This novel approach to Type Ia supernova standardization is made possible by spectrophotometric time series observations from…

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 decompose the diversity of these spectra into different…

Type Ia supernovae (SN Ia) have provided the first evidence for an accelerating universe and for the existence of an unknown ``dark energy'' driving this expansion. The 5-year Supernova Legacy Survey (SNLS) will deliver \~700 type Ia…

Astrophysics · Physics 2019-08-14 N. Palanque-Delabrouille

Type Ia supernova (SN Ia) cosmology analyses include a luminosity step function in their distance standardization process to account for an observed yet unexplained difference in the post-standardization luminosities of SNe Ia originating…

Cosmology and Nongalactic Astrophysics · Physics 2024-01-17 G. Taylor , C. Lidman , B. Popovic , H. Abbot

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

We review the use of Type Ia supernovae for cosmological distance determinations. Low-redshift SNe Ia (z < 0.1) demonstrate that the Hubble expansion is linear, that H_0 = 65 +/- 2 (statistical) km/s/Mpc, and that the properties of dust in…

Astrophysics · Physics 2009-10-31 A. V. Filippenko , A. G. Riess

We present the full Hubble diagram of photometrically-classified Type Ia supernovae (SNe Ia) from the Dark Energy Survey supernova program (DES-SN). DES-SN discovered more than 20,000 SN candidates and obtained spectroscopic redshifts of…

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

Spectroscopic and photometric evidence indicates that Type Ia supernovae (SNe Ia) are the thermonuclear explosions of accreting white dwarfs. However, the progenitor binary systems and hydrodynamical models for SNe Ia are still…

Astrophysics · Physics 2009-10-30 Ken'ichi Nomoto , Koichi Iwamoto , Nobuhiro Kishimoto

I review the use of Type Ia supernovae (SNe Ia) in the 1998 discovery of the accelerating expansion of the Universe, as well as the subsequent use of SNe Ia to study the expansion history in more detail, determine the equation-of-state…

Cosmology and Nongalactic Astrophysics · Physics 2023-12-29 Alexei V. Filippenko

The measured luminosity distances of Type Ia supernovae (SNe Ia) as a function of redshift have shown that the expansion of the Universe is currently accelerating, probably due to the presence of repulsive dark energy such as Einstein's…

Astrophysics · Physics 2017-08-23 A. V. Filippenko

We study supernova (SN) classification using the machine learning method of the Recurrent Neural Network (RNN) in the Chinese Space Station Survey Telescope Ultra-Deep Field (CSST-UDF) photometric survey, and explore the improvement of the…

Cosmology and Nongalactic Astrophysics · Physics 2025-11-05 Minglin Wang , Yan Gong , Dejia Zhou , Xuelei Chen

We review some results of the past 12 years derived from optical and infrared photometry of Type Ia supernovae. A combination of optical and infrared photometry allows us to determine accurately the extinction along the line of sight. The…

Cosmology and Nongalactic Astrophysics · Physics 2012-06-01 Kevin Krisciunas

Type Ia supernovae (SNe Ia) are used as distance indicators to infer the cosmological parameters that specify the expansion history of the universe. Parameter inference depends on the criteria by which the analysis SN sample is selected.…

Cosmology and Nongalactic Astrophysics · Physics 2021-02-19 Alex G. Kim

Type Ia supernovae (SNe Ia) are essential tools for addressing key cosmic questions, including the Hubble tension and the nature of dark energy. Modern surveys are predominantly photometry-based, making the construction of a clean…

Instrumentation and Methods for Astrophysics · Physics 2025-10-14 Moonzarin Reza , Lifan Wang , Lei Hu
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