Maneage -- Managing data lineage

Anti-clustering in the national SARS-CoV-2 daily infection counts

The noise in daily infection counts of an epidemic should be super-Poissonian due to intrinsic epidemiological and administrative clustering. Here, we use this clustering to classify the official national SARS-CoV-2 daily infection counts and check for infection counts that are unusually anti-clustered. We adopt a one-parameter model of $\phi _i^{\prime}$ϕi′ infections per cluster, dividing any daily count ni into $n_i/ _i^{\prime}$ni/ϕi′ ‘clusters’, for ‘country’ i. We assume that ${n_i}/\phi _i^{\prime}$ni/ϕi′ on a given day j is drawn from a Poisson distribution whose mean is robustly estimated from the four neighbouring days, and calculate the inferred Poisson probability $P_{ij}^{\prime}$Pij′ of the observation. The $P_{ij}^{\prime}$Pij′ values should be uniformly distributed. We find the value $\phi_i$ϕi that minimises the Kolmogorov–Smirnov distance from a uniform distribution. We investigate the (ϕi, Ni) distribution, for total infection count Ni. We consider consecutive count sequences above a threshold of 50 daily infections. We find that most of the daily infection count sequences are inconsistent with a Poissonian model. Most are found to be consistent with the ϕi model. The 28-, 14- and 7-day least noisy sequences for several countries are best modelled as sub-Poissonian, suggesting a distinct epidemiological family. The 28-day least noisy sequence of Algeria has a preferred model that is strongly sub-Poissonian, with $\phi _i^{28} < 0.1$ϕi28<0.1 . Tajikistan, Turkey, Russia, Belarus, Albania, United Arab Emirates and Nicaragua have preferred models that are also sub-Poissonian, with $\phi _i^{28} < 0.5$ϕi28<0.5 . A statistically significant (Pτ < 0.05) correlation was found between the lack of media freedom in a country, as represented by a high Reporters sans frontieres Press Freedom Index (PFI2020), and the lack of statistical noise in the country’s daily counts. The ϕi model appears to be an effective detector of suspiciously low statistical noise in the national SARS-CoV-2 daily infection counts.

Reproducibility in astronomy research papers - Uniwersytet Mikołaja Kopernika w Toruniu

General Seminar - Institute of Astronomy - Nicolaus Copernicus University in Toruń

General Seminar, Institute of Astronomy, Uniwersytet Mikołaja Kopernika w Toruniu.

Detecting cosmic voids via maps of geometric optics parameters

lensing-e4f7af0.pdf  - article in pdf format void_matches*.dat - plain text results files corresponding to Table 3 and Figures 2, 4, 6, 8. lensing-e4f7af0-journal.tar.gz - source package for producing the article pdf, together with the reproducibility package, but without the git history; appropriate for ArXiv lensing-e4f7af0-git.bundle - git source package that can be unbundled with 'git clone lensing-e4f7af0-git.bundle' and used for reproducibility: to download data, do calculations, analyse them, plot them and produce the article pdf software-e4f7af0.tar.gz - this should contain all the software, apart from a minimal POSIX-compatible system and LaTeX packages, needed for compiling and installing the software used in producing this paper lensing-e4f7af0-snapshot.tar.gz - source files of the project; these should be enough, provided that external software packages can be downloaded, to reproduce the full project The authors grant a perpetual, non-exclusive licence to distribute this pdf preprint. All the other materials here are free-licensed, as stated in the individual files and packages.