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Supernova experiments to characterize dark energy require a well designed low redshift program; we consider this for both ongoing/near term (e.g. Supernova Legacy Survey) and comprehensive future (e.g. SNAP) experiments. The derived…

Astrophysics · Physics 2009-11-11 Eric V. Linder

Imaging surveys will find many tens to hundreds of thousands of Type Ia supernovae in the next decade, and measure their light curves. In addition to a need for characterizing their types and subtypes, a redshift is required to place them…

Cosmology and Nongalactic Astrophysics · Physics 2019-09-04 Eric V. Linder , Ayan Mitra

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 combine high redshift Type Ia supernovae from the first 3 years of the Supernova Legacy Survey (SNLS) with other supernova (SN) samples, primarily at lower redshifts, to form a high-quality joint sample of 472 SNe (123 low-$z$, 93 SDSS,…

Some million Type Ia supernovae (SN) will be discovered and monitored during upcoming wide area time domain surveys such as the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST). For cosmological use, accurate redshifts are…

Cosmology and Nongalactic Astrophysics · Physics 2021-01-26 Ayan Mitra , Eric V. Linder

Recent papers have shown that a small systematic redshift shift ($\Delta z\sim 10^{-5}$) in measurements of type Ia supernovae can cause a significant bias ($\sim$1\%) in the recovery of cosmological parameters. Such a redshift shift could…

Cosmology and Nongalactic Astrophysics · Physics 2017-01-25 Josh Calcino , Tamara Davis

Correctly interpreting observations of sources such as type Ia supernovae (SNe Ia) require knowledge of the power spectrum of matter on AU scales - which is very hard to model accurately. Because under-dense regions account for much of the…

Cosmology and Nongalactic Astrophysics · Physics 2013-11-22 V. C. Busti , R. F. L. Holanda , C. Clarkson

We discuss the extent to which photometric measurements alone can be used to identify Type Ia supernovae (SNIa) and to determine redshift and other parameters of interest for cosmological studies. We fit the light curve data of the type…

Cosmology and Nongalactic Astrophysics · Physics 2014-11-20 Yan Gong , Asantha Cooray , Xuelei Chen

Mapping the recent expansion history of the universe offers the best hope for uncovering the characteristics of the dark energy believed to be responsible for the acceleration of the expansion. In determining cosmological and dark-energy…

Astrophysics · Physics 2009-11-07 Alex G. Kim , Eric V. Linder , Ramon Miquel , Nick Mostek

We examine the utility of very high redshift Type Ia supernovae for cosmology and systematic uncertainty control. Next generation space surveys such as the Supernova/Acceleration Probe (SNAP) will obtain thousands of supernovae at z>1.7,…

Astrophysics · Physics 2009-11-11 Greg Aldering , Alex G. Kim , Marek Kowalski , Eric V. Linder , Saul Perlmutter

Traditional cosmological inference using Type Ia supernovae (SNeIa) have used stretch- and color-corrected fits of SN Ia light curves and assumed a resulting fiducial mean and symmetric intrinsic dispersion for the resulting relative…

Cosmology and Nongalactic Astrophysics · Physics 2016-10-17 Kara A. Ponder , W. Michael Wood-Vasey , Andrew R. Zentner

The success of Type Ia supernova (SN Ia) distance standardisation for cosmology relies on a single global linear relationship between their peak luminosity and colour, the $\beta$ parameter. However, there are several pieces of evidence and…

Cosmology and Nongalactic Astrophysics · Physics 2021-10-13 S. Gonzalez-Gaitan , T. de Jaeger , L. Galbany , A. Mourao , A. Paulina-Afonso , A. V. Filippenko

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…

Cosmological parameter fitting remains crucial, especially with the abundance of available data. While many parameters have been tightly constrained, discrepancies-most notably the Hubble tension-persist between measurements obtained from…

Cosmology and Nongalactic Astrophysics · Physics 2025-01-15 Ramanpreet Singh , Athul C N , H. K. Jassal

We perform a number of inter-related cosmographic fits to the legacy05 and gold06 supernova datasets. We pay particular attention to the influence of both statistical and systematic uncertainties, and also to the extent to which the choice…

General Relativity and Quantum Cosmology · Physics 2007-07-31 Celine Cattoen , Matt Visser

While recent supernova cosmology research has benefited from improved measurements, current analysis approaches are not statistically optimal and will prove insufficient for future surveys. This paper discusses the limitations of current…

Type 1a supernova magnitudes are used to fit cosmological parameters under the assumption the model will fit the observed redshift dependence. We test this assumption with the Union 2.1 compilation of 580 sources. Several independent tests…

Cosmology and Nongalactic Astrophysics · Physics 2013-11-26 Gopolang M. Mohlabeng , John P. Ralston

We perform a rigorous cosmology analysis on simulated type Ia supernovae (SN~Ia) and evaluate the improvement from including photometric host-galaxy redshifts compared to using only the "zspec" subset with spectroscopic redshifts from the…

Cosmology and Nongalactic Astrophysics · Physics 2023-03-08 Ayan Mitra , Richard Kessler , Surhud More , Renee Hlozek , The LSST Dark Energy Science Collaboration

The case of SN Ia Hubble diagrams from photometrically selected samples using photometric SN host galaxy redshifts is investigated. The host redshift uncertainties and the contamination by core collapse SNe are addressed. As a test, we use…

Cosmology and Nongalactic Astrophysics · Physics 2022-10-25 V. Ruhlmann-Kleider , C. Lidman , A. Möller
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