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We develop a simple formalism of biased tracers that we dub $\mathit{Monkey\ bias}$.
Z. Vlah, N. E. Chisari and F. Schmidt, An EFT description of galaxy intrinsic alignments , JCAP 01
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S. Anselmi, G. Ballesteros and M. Pietroni, Non-linear dark energy clustering , JCAP 1111
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2015
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2016
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M. Fasiello and Z. Vlah, Nonlinear fields in generalized cosmologies , Phys. Rev. D94
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2013
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2013
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M. Takada and W. Hu, Power Spectrum Super-Sample Covariance , Phys. Rev. D 87
2013
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2014
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V. Assassi, D. Baumann, D. Green and M. Zaldarriaga, Renormalized Halo Bias , JCAP 1408
2014
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2014
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2014
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P. Valageas, Angular averaged consistency relations of large-scale structures , Phys. Rev. D89
2014
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2017
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Particle Data Group
2018
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V. Desjacques, D. Jeong and F. Schmidt, Large-Scale Galaxy Bias , Phys. Rept. 733
2018
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A. Aviles, Renormalization of Lagrangian bias via spectral parameters , Phys. Rev. D98
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2018
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2018
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M. M. Abidi and T. Baldauf, Cubic Halo Bias in Eulerian and Lagrangian Space , JCAP 1807
2018
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M. Ishak, Testing General Relativity in Cosmology , Living Rev. Rel. 22
2019
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2019
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Z. Vlah and M. White, Exploring redshift-space distortions in large-scale structure , JCAP 1903
2019
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M. Fasiello and Z. Vlah, On observables in a dark matter-clustering quintessence system , JCAP 1905
2019
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Wikipedia contributors, Infinite monkey theorem — Wikipedia, The Free Encyclopedia , 2020
2020
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Wikipedia contributors, Monkey software testing — Wikipedia, The Free Encyclopedia , 2020
2020
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