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

Research in Astronomy and Astrophysics 2019年第2期19卷 143-150页

作者： Meghendra Singh Shashikant Gupta Amit sharma satendra sharma Dr.A.P.J.Abdul Kalam Technical University G.D.Goenka University Amity University Haryana Yobe State University

We investigate direction dependence and non-Gaussian features in high-z cosmological data using ?_(χ~2) 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 *** analysis also indicates a non-Gaussian nature of errors in both data sets.

关键词： gamma-ray bursts observational cosmology cosmological parameters Gaussian distribution supernovae

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On the non-Gaussian errors in high-z supernovae type Ia data

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Research in Astronomy and Astrophysics 2016年第11期16卷 53-56页

作者： Meghendra Singh Ashwini Pandey Amit sharma Shashikant Gupta satendra sharma Dr. A.EJ. Abdul Kalam Technical University Uttar Pradesh Lucknow 226021 India GD Goenka University Gurgaon Haryana 122103 India Yobe State University Damaturu Yobe State Nigeria

The nature of random errors in any data set is Gaussian, which is a well established fact according to the Central Limit Theorem. Supernovae type Ia data have played a crucial role in major discoveries in cosmology. Unlike in laboratory experiments, astronomical measurements cannot be performed in controlled situations. Thus, errors in astronomical data can be more severe in terms of systematics and non-Gaussianity compared to those of laboratory experiments. In this paper, we use the Kolmogorov-Smiruov statistic to test non-Gaussianity in high-z supernovae data. We apply this statistic to four data sets, i.e., Gold data （2004）, Gold data （2007）, the Union2 catalog and the Union2.1 data set for our analysis. Our results show that in all four data sets the errors are consistent with a Gaussian distribution.

关键词： cosmology - data analysis - statistics - probability

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Neutralizing possibilities of whole virion and mRNA vaccine triggered antibodies of Wuhan strain of SARS-CoV-2 with receptor binding domains of spike proteins of Delta and Omicron strains

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Asian Pacific Journal of Tropical Medicine 2023年第2期16卷 92-94,I0008页

作者： Shilpa Barthwal Bennet Angel Annette Angel Vinod Joshi BM Shareef Nuzhat M Peer Poorna Khaneja Ambreen S Khan Bhawna sharma Neha Singh Ramesh Joshi Komal Tomar Kiran Yadav satendra P Singh Advance Centre for Virology&Immunology Sharda UniversityGreater NoidaU.P.201310India Sharda School of Agricultural Sciences Sharda UniversityGreater NoidaU.P.201310India Department of Microbiology School of Medical Sciences&ResearchSharda HospitalGreater NoidaU.P.201310India

Mutations in the receptor binding domain(RBD)of SARS-CoV-2 spike protein have given birth to the new variants of concern *** and Omicron *** we are using vaccines which are either mRNA of spike protein of Wuhan strain or its whole virion vaccine,these vaccines will trigger antibodies to be able to bind with the epitopes of spike protein of Wuhan *** appears a need to study whether vaccine generated circulating neutralizing antibodies in vaccinated people are able to neutralize the receptor binding domain of spike protein of currently circulating Delta and Omicron strains as *** need to address this contention in two phases:first to undertake docking studies of vaccine generated antibodies with Wuhan,Delta and Omicron strains and second to conduct the wet lab studies and observe antigen-antibody bindings employing Immunofluorescence and Cryo-Electron Microscopic *** present paper reports results of docking studies using bioinformatic softwares to provide the baseline information for wet lab studies.

关键词： vaccine antibodies neutral

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