activity
20122017
most citedA blinded determination of from low-redshift Type Ia supernovae, calibrated by Cepheid variables

133 citations · 372 across the 6 of their papers we have counts for

collaborators

6 papers

astro-ph.CO2017★ 133 cited

A blinded determination of from low-redshift Type Ia supernovae, calibrated by Cepheid variables

Bonnie R. Zhang, Michael J. Childress, Tamara M. Davis +4

Presently a tension exists between values of the Hubble constant derived from analysis of fluctuations in the Cosmic Microwave Background by Planck, and local measure…

astro-ph.HE2016★ 102 cited

The Volumetric Rate of Superluminous Supernovae at z~1

S. Prajs, M. Sullivan, M. Smith +12

We present a measurement of the volumetric rate of superluminous supernovae (SLSNe) at z~1, measured using archival data from the first four years of the Canada-France-Hawaii Teles…

astro-ph.SR2016★ 100 cited

DES14X3taz: A Type I Superluminous Supernova Showing a Luminous, Rapidly Cooling Initial Pre-Peak Bump

M. Smith, M. Sullivan, C. B. D'Andrea +81

We present DES14X3taz, a new hydrogen-poor super luminous supernova (SLSN-I) discovered by the Dark Energy Survey (DES) supernova program, with additional photometric data provided…

astro-ph.CO2015★ 7 cited

The supernova cosmology cookbook: Bayesian numerical recipes

N. V. Karpenka

Theoretical and observational cosmology have enjoyed a number of significant successes over the last two decades. Cosmic microwave background measurements from the Wilkinson Microw…

astro-ph.CO2012★ 10 cited

Comparison of cosmological parameter inference methods applied to supernovae lightcurves fitted with SALT2

M. C. March, N. V. Karpenka, F. Feroz +1

We present a comparison of two methods for cosmological parameter inference from supernovae Ia lightcurves fitted with the SALT2 technique. The standard chi-square methodology and…

astro-ph.CO2012★ 20 cited

Bayesian constraints on dark matter halo properties using gravitationally-lensed supernovae

N. V. Karpenka, M. C. March, F. Feroz +1

A hierarchical Bayesian method is applied to the analysis of Type-Ia supernovae (SNIa) observations to constrain the properties of the dark matter haloes of galaxies along the SNIa…