Publications (36)
A Nested Sampling Algorithm for Cosmological Model Selection
Pia Mukherjee, David Parkinson, Andrew R. Liddle
Model-Independent Constraints on Dark Energy Density from Flux-averaging Analysis of Type Ia Supernova Data
Yun Wang, Pia Mukherjee
Observational Constraints on Dark Energy and Cosmic Curvature
Yun Wang, Pia Mukherjee
COBE-DMR-Normalized Dark Energy Cosmogony
Pia Mukherjee, Anthony J. Banday, Alain Riazuelo +2
Nontrivial Geometries: Bounds on the Curvature of the Universe
Laura Mersini-Houghton, Yun Wang, Pia Mukherjee +1
CMB Anisotropy Constraints on Flat-Lambda and Open CDM Cosmogonies from DMR, UCSB South Pole, Python, ARGO, MAX, White Dish, OVRO, and SuZIE Data
Pia Mukherjee, Ken Ganga, Bharat Ratra +4
Cosmic microwave background multipole alignments in slab topologies
James G. Cresswell, Andrew R. Liddle, Pia Mukherjee +1
Optimizing future dark energy surveys for model selection goals
Catherine Watkinson, Andrew R. Liddle, Pia Mukherjee +1
Planck priors for dark energy surveys
Pia Mukherjee, Martin Kunz, David Parkinson +1
When can the Planck satellite measure spectral index running?
Cédric Pahud, Andrew R. Liddle, Pia Mukherjee +1
Galactic Foreground Constraints from the Python V Cosmic Microwave Background Anisotropy Data
Pia Mukherjee, Kim Coble, Mark Dragovan +4
OVRO CMB Anisotropy Measurement Constraints on Flat-Lambda and Open CDM Cosmogonies
Pia Mukherjee, Tarun Souradeep, Bharat Ratra +2
The WMAP normalization of inflationary cosmologies
Andrew R Liddle, David Parkinson, Samuel M Leach +1
Wavelet Band Powers of the Primordial Power Spectrum from CMB Data
Pia Mukherjee, Yun Wang
A Bayesian model selection analysis of WMAP3
David Parkinson, Pia Mukherjee, Andrew R Liddle
Wavelets and WMAP non-Gaussianity
Pia Mukherjee, Yun Wang
Effects of cosmological model assumptions on galaxy redshift survey measurements
Lado Samushia, Will J. Percival, Luigi Guzzo +8
Present and future evidence for evolving dark energy
Andrew R Liddle, Pia Mukherjee, David Parkinson +1
Cosmological model selection
Andrew R. Liddle, Pia Mukherjee, David Parkinson
Model-Independent Reconstruction of the Primordial Power Spectrum from WMAP Data
Pia Mukherjee, Yun Wang
On what scale should inflationary observables be constrained?
Marina Cortês, Andrew R Liddle, Pia Mukherjee
Observational Bounds on Modified Gravity Models
Antonio De Felice, Pia Mukherjee, Yun Wang
Planck and reionization history: a model selection view
Pia Mukherjee, Andrew R. Liddle
Model selection as a science driver for dark energy surveys
Pia Mukherjee, David Parkinson, Pier Stefano Corasaniti +2
Primordial Power Spectrum Reconstruction
Pia Mukherjee, Yun Wang
General CMB bispectrum analysis using wavelets and separable modes
Donough Regan, Pia Mukherjee, David Seery
On the degeneracy between primordial tensor modes and cosmic strings in future CMB data from Planck
Jon Urrestilla, Pia Mukherjee, Andrew R. Liddle +3
A Comparative Study of Dark Energy Constraints from Current Observational Data
Yun Wang, Chia-Hsun Chuang, Pia Mukherjee
Detecting and distinguishing topological defects in future data from the CMBPol satellite
Pia Mukherjee, Jon Urrestilla, Martin Kunz +3
Galactic Foregrounds in OVRO and UCSB South Pole 1994 Cosmic Microwave Background Anisotropy Data
Pia Mukherjee, Brian Dennison, Bharat Ratra +3
Looking for Cosmological Alfven Waves in WMAP Data
Gang Chen, Pia Mukherjee, Tina Kahniashvili +2
Comment on `Tainted evidence: cosmological model selection versus fitting', by Eric V. Linder and Ramon Miquel (astro-ph/0702542v2)
Andrew R Liddle, Pier Stefano Corasaniti, Martin Kunz +3
Model selection forecasts for the spectral index from the Planck satellite
Cédric Pahud, Andrew R Liddle, Pia Mukherjee +1
Designing a space-based galaxy redshift survey to probe dark energy
Yun Wang, Will Percival, Andrea Cimatti +13
Robust Dark Energy Constraints from Supernovae, Galaxy Clustering, and Three-Year Wilkinson Microwave Anisotropy Probe Observations
Yun Wang, Pia Mukherjee
Direct Wavelet Expansion of the Primordial Power Spectrum
Pia Mukherjee, Yun Wang