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Everything you wanted to know about Data Analysis and Fitting but were afraid to ask
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These notes discuss, in a style intended for physicists, how to average data and fit it to some functional form. I try to make clear what is being calculated, what assumptions are being made, and to give a derivation of results rather than just quote them. The aim is put a lot useful pedagogical material together in a convenient place. This manuscript is a substantial enlargement of lecture notes I prepared for the Bad Honnef School on "Efficient Algorithms in Computational Physics", September 10-14, 2012.
Forward citations
Cited by 3 Pith papers
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Block Lanczos algorithm for lattice QCD spectroscopy and matrix elements
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Magnetised CGM Gas at z~1 revealed by SPICE-RACS
A 4.5σ excess RM dispersion of 4.13 ± 0.91 rad m^{-2} is found in 191 Mg II sightlines versus controls, implying model-dependent CGM magnetic fields of 0.4-0.8 μG at projected radii 20-150 kpc and z~1.14.
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Emergence of the 3D diluted Ising model universality class in a mixture of two magnets
A random binary mixture of Ising magnets with two spin lengths belongs to the 3D site-diluted Ising universality class, with spin-length ratio and concentration tuning the size of scaling corrections.
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