62 citations · 169 across the 14 of their papers we have counts for
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Investigating The Hubble Tension Through Hubble Parameter Data
Rahul Kumar Thakur, Shashikant Gupta, Rahul Nigam +1
The Hubble constant (), which represents the expansion rate of the Universe, is one of the most important cosmological parameters. The recent measurements of using the d…
Investigating the Evolution of Amati Parameters with Redshift
Meghendra Singh, Darshan Singh, Kanhaiya Lal Pandey +2
Gamma Ray Bursts (GRB) are among the brightest objects in the Universe and hence can be observed up to a very high redshift. Properly calibrated empirical correlations between inte…
Investigating the Hubble Tension: Effect of Cepheid Calibration
Rahul Kumar Thakur, Harish Kumar, Shashikant Gupta +2
Recent observations of Type Ia supernovae (SNe) by SH0ES collaboration (R11 and R16) diverge from the value reported by recent CMBR observations utilising the Planck satellite and…
Cosmological Analysis using Panstarrs data: Hubble Constant and Direction Dependence
Rahul Kumar Thakur, Meghendra Singh, Shashikant Gupta +1
Hubble tension and the search for preferred direction are two crucial unresolved issues in modern cosmology. Different measurements of the Hubble constant provide significantly dif…
Measurement of Hubble Constant: Do Different Cosmological Probes Provide Different Values?
Rahul Kumar Thakur, Shashikant Gupta, Rahul Nigam +1
Different measurements of the Hubble constant () are not consistent and a tension between the CMB based methods and cosmic distance ladder based methods has been observed. M…
On The Non-Gaussian Errors in High-z Supernovae Type Ia Data
Meghendra Singh, Ashwini Pandey, Amit Sharma +2
The nature of random errors in any data set that is Gaussian is a well established fact according to the Central Limit Theorem. Supernovae type Ia data have played a crucial role i…
Measurement of Hubble constant: Non-Gaussian Errors in HST key project data
Meghendra Singh, Shashikant Gupta, Ashwini Pandey +1
Assuming the Central Limit Theorem, experimental uncertainties in any data set are expected to follow the Gaussian distribution with zero mean. We propose an elegant method based o…
High-z Supernova Type Ia Data: non-Gaussianity and Direction Dependence
Shashikant Gupta, Meghendra Singh
We use the statistic introduced in \cite{gup08,gup10} to study directional dependence, in the high-z supernovae data. This dependence could arise due to departures from t…
Non-Gaussianity and direction dependent systematics in HST key project data
Shashikant Gupta, Tarun Deep Saini
Two new statistics, namely and , based on extreme value theory, were derived in \cite{gupta08,gupta10}. We use these statistics to study direction dependence in the HS…
Direction Dependence in Supernova Data: Constraining Isotropy
Shashikant Gupta, Tarun Deep Saini
We revise and extend the extreme value statistic, introduced in \cite{gup08}, to study directional dependence in the high redshift supernova data; arising either from departures fr…