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Searching for codes credited to 'Cameron, Ewan'

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Found 3 codes.

[ascl:2509.024] nazgul: GRB triangulation via non-stationary time-series models
The Nazgul framework performs GRB localization via fitting non-parametric models to their data time-series and computing the the time delay between them. It is built on Stan (ascl:1801.003) and implements a parallel version of non-stationary Random Fourier Features. This avoids using heuristic methods, such as cross-correlation, which do not have a self-consistent statistical model. Satellites throughout the Sol system observe gamma-ray bursts at different times due to the finite speed of light, creating a time delay in their observed light curves. The time delay can be used to triangulate the gamma-ray burst position on the sky; these triangulations create annuli or rings on the sky. Nazgul searches for these annuli so that in the darkness, it can bind them to a location on the sky.
[ascl:1505.013] cosmoabc: Likelihood-free inference for cosmology
Approximate Bayesian Computation (ABC) enables parameter inference for complex physical systems in cases where the true likelihood function is unknown, unavailable, or computationally too expensive. It relies on the forward simulation of mock data and comparison between observed and synthetic catalogs. cosmoabc is a Python Approximate Bayesian Computation (ABC) sampler featuring a Population Monte Carlo variation of the original ABC algorithm, which uses an adaptive importance sampling scheme. The code can be coupled to an external simulator to allow incorporation of arbitrary distance and prior functions. When coupled with the numcosmo library, it has been used to estimate posterior probability distributions over cosmological parameters based on measurements of galaxy clusters number counts without computing the likelihood function.
[ascl:1408.018] CosmoPhotoz: Photometric redshift estimation using generalized linear models
CosmoPhotoz determines photometric redshifts from galaxies utilizing their magnitudes. The method uses generalized linear models which reproduce the physical aspects of the output distribution. The code can adopt gamma or inverse gaussian families, either from a frequentist or a Bayesian perspective. A set of publicly available libraries and a web application are available. This software allows users to apply a set of GLMs to their own photometric catalogs and generates publication quality plots with no involvement from the user. The code additionally provides a Shiny application providing a simple user interface.