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Tphysicsletters/6879/10/1490/784031tpl/Bayesian and frequentist investigation of prior effects in EFTofLSS analyses of full-shape BOSS and eBOSS data

Monday, September 11, 2023 at 6:45:00 AM UTC

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Astronomical Experimental Physics
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Bayesian and frequentist investigation of prior effects in EFTofLSS analyses of full-shape BOSS and eBOSS data

Emil Brinch Holm,1 Laura Herold,2 Th´eo Simon,3 Elisa G. M. Ferreira,4, 5 Steen Hannestad,1 Vivian Poulin,3 and Thomas Tram1 1Department of Physics and Astronomy, Aarhus University, DK-8000 Aarhus C, Denmark 2Max-Planck-Institut f¨ur Astrophysik, Karl-Schwarzschild-Str. 1, 85748 Garching, Germany 3Laboratoire Univers & Particules de Montpellier (LUPM), CNRS & Universit´e de Montpellier (UMR-5299), Place Eug`ene Bataillon, F-34095 Montpellier Cedex 05, France 4Kavli Institute for the Physics and Mathematics of the Universe (WPI), UTIAS, The University of Tokyo, Chiba 277-8583, Japan 5 Instituto de F´ısica, Universidade de S˜ao Paulo - C.P. 66318, CEP: 05315-970, S˜ao Paulo, Brazil
Theoretical Physics Letters

2023 ° 11(09) ° 0631-7846



Author database, Acknowledgement, Abstract, Introduction, Conclusion, References |
We thank Pierre Zhang for his comments and insights throughout the project, and Eiichiro Komatsu and Luisa Lucie-Smith for helpful discussions. EBH and LH would like to thank the Laboratoire Univers & Particules de Montpellier for their hospitality, where part of this work was conducted. We acknowledge computing resources from the Centre for Scientific Computing Aarhus (CSCAA). These results have also been made possible thanks to LUPM’s cloud computing infrastructure founded by Ocevu labex, and France-Grilles. E.B.H. and T.T. were supported by a research grant (29337) from VILLUM FONDEN. This project has received support from the European Union’s Horizon 2020 research and innovation program under the Marie Skodowska-Curie grant agreement No 860881-HIDDeN. This project has also received funding from the European Research Council (ERC) under the European Union’s HORIZON-ERC2022 (Grant agreement No. 101076865).

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