https://pypi.org/project/logelin/ Recent updates to the Python Package Index for logelin en https://pypi.org/project/logelin/0.2.2/ A tool which, by modelling the sampled galaxies as ellipsoids with intrinsic semi-axes drawn from a multivariate log-normal distribution, uses Bayesian inference to generate posteriors for parameters describing the underlying distribution of shapes and sizes of galaxies given projected angular extents and redshifts. Built using NumPyro and astropy. dw619@cantab.ac.uk Sun, 21 Sep 2025 12:37:11 GMT https://pypi.org/project/logelin/0.2.1/ A tool which, by modelling the sampled galaxies as ellipsoids with intrinsic semi-axes drawn from a multivariate log-normal distribution, uses Bayesian inference to generate posteriors for parameters describing the underlying distribution of shapes and sizes of galaxies given projected angular extents and redshifts. Built using NumPyro and astropy. dw619@cantab.ac.uk Sun, 21 Sep 2025 11:39:05 GMT https://pypi.org/project/logelin/0.2.0/ A tool which, by modelling the sampled galaxies as ellipsoids with intrinsic semi-axes drawn from a multivariate log-normal distribution, uses Bayesian inference to generate posteriors for parameters describing the underlying distribution of shapes and sizes of galaxies given projected angular extents and redshifts. Built using NumPyro and astropy. dw619@cantab.ac.uk Sun, 14 Sep 2025 10:50:18 GMT https://pypi.org/project/logelin/0.1.5/ A tool which, by modelling the sampled galaxies as ellipsoids with intrinsic semi-axes drawn from a multivariate log-normal distribution, uses Bayesian inference to generate posteriors for parameters describing the underlying distribution of shapes and sizes of galaxies given projected angular extents and redshifts. Built using NumPyro and astropy. dw619@cantab.ac.uk Sun, 31 Aug 2025 21:15:50 GMT https://pypi.org/project/logelin/0.1.4/ A tool which, by modelling the sampled galaxies as ellipsoids with intrinsic semi-axes drawn from a multivariate log-normal distribution, uses Bayesian inference to generate posteriors for parameters describing the underlying distribution of shapes and sizes of galaxies given projected angular extents and redshifts. Built using NumPyro and astropy. dw619@cantab.ac.uk Sun, 31 Aug 2025 20:38:51 GMT