Vol 19, No 2

Cosmology using long gamma-ray bursts: statistical analysis of errors in calibrated data

Meghendra Singh, Shashikant Gupta, Amit Sharma, Satendra Sharma


Abstract We investigate direction dependence and non-Gaussian features in high-z cosmological data using ∆χ2 and ∆χ statistics and the Kolmogorov-Smirnov test. These techniques are applied on a set of calibrated long gamma-ray bursts (GRBs) and its combination with recent Type Ia supernovae data (Union2). Our statistical analysis shows a weak but consistent direction dependence in both the data sets. The analysis also indicates a non-Gaussian nature of errors in both data sets.


Keywords gamma-ray bursts — observational cosmology — cosmological parameters — Gaussian dis- tribution — supernovae

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