Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Alex Kostinski"'
Publikováno v:
npj Climate and Atmospheric Science, Vol 5, Iss 1, Pp 1-5 (2022)
Abstract Glory is a beautiful optical phenomenon observed in an atmosphere as concentric colored rings reflected by clouds or fog around an antisolar point. Here we report that true color glories, although faint, are discernible in raw unpolarized sa
Externí odkaz:
https://doaj.org/article/30b8b5c10d6f4636b0978908553efab4
Autor:
Glenn Ierley, Alex Kostinski
Publikováno v:
Physical Review X, Vol 9, Iss 3, p 031039 (2019)
We introduce an ordinate method for noisy data analysis, based solely on rank information and thus insensitive to outliers. The method is nonparametric and objective, and the required data processing is parsimonious. The main ingredients include a ra
Externí odkaz:
https://doaj.org/article/02e2c611c0574f3791b0d10b10a05373
Publikováno v:
Environmental Research Letters, Vol 12, Iss 11, p 114037 (2017)
A global scale study of the association between aerosol loading and lightning production was conducted, using a full year’s data for 2012 (as well as seasonal data) of the cloud-to-ground lightning record from the world wide lightning location netw
Externí odkaz:
https://doaj.org/article/8b66ba944d984d66b9cf831f455a9548
Autor:
Glenn Ierley, Alex Kostinski
Publikováno v:
Physical Review E. 105
We study statistics of data ranking, focusing on the recently discovered distribution-invariant discrete eigenvalue spectrum for an independent and identically distributed (IID) process. We employ a variant of a cumulative distribution function in ra
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::71aa6821fd2d7e70421bc7ce67138b20
https://doi.org/10.1103/physreve.105.064114
https://doi.org/10.1103/physreve.105.064114
Autor:
Glenn Ierley, Alex Kostinski
Publikováno v:
Physical review. E. 102(3-1)
We devise a simple method for detecting signals of unknown form buried in any noise, including heavy tailed. The method centers on signal-noise decomposition in rank and time: Only stationary white noise generates data with a jointly uniform rank-tim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34777f88f168deafd7a11c69183ac0ba
https://pubmed.ncbi.nlm.nih.gov/33075960
https://pubmed.ncbi.nlm.nih.gov/33075960
Conference
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Conference
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