benidav

University of Cambridge

Pinned Repositories

BAO-2020
Python notebooks for the paper "Testing Late-Time Cosmic Acceleration with uncorrelated Baryon Acoustic Oscillations dataset" by D. Benisty and D. Staicova. Please Cite as arXiv:2009.10701[astro-ph.CO]
Language:Jupyter Notebook4 1 02
CCGGcosmology2020
Manuscript files for the paper "Low-Redshift Constraints on Covariant Canonical Gauge Theory of Gravity". Please cite: 2101.07566
00
PSRModifiedGravity
code for 2212.03098
0 1 00
RSD-GPM
MCMC and Gaussian Process Regression for the Red Shift Space Distortion data set. Please cite: 2005.03751
Language:Jupyter Notebook01
SchoolIntroDataAnalysis
Into to Data Analysis for the "1st i-School and Conference on Metric-Affine Gravity"
Language:Jupyter Notebook00
Unified-DE-DM-from-DST
Phys.Rev. D98 (2018) no.2, 023506 - Mathematica fiels
Language:Mathematica00

benidav/BAO-2020
Python notebooks for the paper "Testing Late-Time Cosmic Acceleration with uncorrelated Baryon Acoustic Oscillations dataset" by D. Benisty and D. Staicova. Please Cite as arXiv:2009.10701[astro-ph.CO]
Language:Jupyter Notebook4 1 02
benidav/CCGGcosmology2020
Manuscript files for the paper "Low-Redshift Constraints on Covariant Canonical Gauge Theory of Gravity". Please cite: 2101.07566
00
benidav/PSRModifiedGravity
code for 2212.03098
0 1 00
benidav/RSD-GPM
MCMC and Gaussian Process Regression for the Red Shift Space Distortion data set. Please cite: 2005.03751
Language:Jupyter Notebook01
benidav/SchoolIntroDataAnalysis
Into to Data Analysis for the "1st i-School and Conference on Metric-Affine Gravity"
Language:Jupyter Notebook00
benidav/Unified-DE-DM-from-DST
Phys.Rev. D98 (2018) no.2, 023506 - Mathematica fiels
Language:Mathematica00