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turboGL is a fast Mathematica code based on the stochastic approach to cumulative weak lensing (the sGL method)

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turboGL

!Version 4 coming soon!

turboGL is a fast Mathematica code based on the stochastic approach to cumulative weak lensing (the sGL method) introduced in 0909.0822 and extended/revised in 1011.0732. turboGL can easily compute the lensing PDF relative to arbitrary halo mass distributions, selection biases, number of observations, halo profiles and evolutions. Check the version history for the features included in the current version. If you want to be informed of a new version, please send an email. Do not hesitate to contact me if you have any questions or suggestions.

Valerio Marra

Publications

[1] K. Kainulainen and V. Marra, New stochastic approach to cumulative weak lensing, Phys.Rev.D80, 123020 (2009), arXiv:0909.0822.

[2] K. Kainulainen and V. Marra, SNe observations in a meatball universe with a local void, Phys.Rev.D80, 127301 (2009), arXiv:0906.3871.

[3] L. Amendola, K. Kainulainen, V. Marra, M. Quartin, Large-scale inhomogeneities may improve the cosmic concordance of SNe, Phys.Rev.Lett.105, 121302 (2010), arXiv:1002.1232.

[4] K. Kainulainen and V. Marra, Accurate Modelling of Weak Lensing with the sGL Method, Phys.Rev.D83, 023009 (2011), arXiv:1011.0732.

[5] K. Kainulainen and V. Marra, Weak Lensing Observables in the Halo Model, Phys.Rev.D84, 063004 (2011), arXiv:1101.4143.

[6] V. Marra, M. Quartin, L. Amendola, Accurate weak lensing of standard candles. I. Flexible cosmological fits, Phys.Rev.D88, 063004 (2013), arXiv:1304.7689.

[7] M. Quartin, V. Marra, L. Amendola, Accurate Weak Lensing of Standard Candles. II: Measuring sigma8 with Supernovae, Phys.Rev.D89, 023009 (2014), arXiv:1307.1155.

[8] T. Castro, M. Quartin, First measurement of sigma_8 using supernova magnitudes only, MNRASL 443, L6-L10 (2014), arXiv: 1403.0293 .

[9] L. Amendola, T. Castro, V. Marra, M. Quartin, Constraining the growth of perturbations with lensing of supernovae, arXiv:1412.XXXX .

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turboGL is a fast Mathematica code based on the stochastic approach to cumulative weak lensing (the sGL method)

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