Proceedings

EPJ C Highlight - Hubble tension: Showing the cracks in Gaussian Processes

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Tensions emerge through measurements of H0. Figure source: https://upload.wikimedia.org/ wikipedia/commons/0/0b/ Planck_satellite_cmb.jpg

Today, Gaussian Processes data reconstruction is viewed as a vital tool in cosmology. Yet through new analysis of tensions in the value of Hubble’s constant, two researchers suggest that the approach may not be as valid as currently thought.

The technique of Gaussian Processes (GP) is widely used to reconstruct cosmological parameters, most notably the expansion rate of the universe, using observational data. For many cosmologists, the crowning achievement of this approach is its ‘model independence’ – meaning it can be applied universally across all models. Through new analysis published in EPJ C, Eoin Ó Colgáin at Sogang University, Seoul, and Mohammad Mehdi Sheikh-Jabbari at IPM, Tehran, use the Hubble constant (H0) to show that this may not be the case – and that it may be time to question the validity of model independence itself.

The duo’s results could have profound implications for the methods cosmologists use to study the universe. As they construct their models, these researchers must make assumptions about certain parameters which they can’t possibly know everything about. Inevitably, their differing assumptions lead to contradictions between models – which in turn, can seed new progress towards better cosmological descriptions. Around 20 years ago, this led to the ‘ΛCDM’ model: which in its current form, can account for the universe’s accelerating expansion. Inevitably, however, the ΛCDM model soon created new tensions in other areas. The GP data reconstruction approach has recently emerged in the face of these conflicts; and thanks to the widespread assumption of its model-independence, it has now become a centrally important tool in cosmology.

In their study, Ó Colgáin and Sheikh-Jabbari evaluated GP using H0: a value defining the relationship between galaxies’ distances from us, and speeds at which they move away from us. Within extensive data gathered so far, a mismatch has emerged between smaller-scale measurements of H0, and its overall value, measured across the entire sky. Through their analysis, the duo concluded that the model-independent statement of this ‘Hubble tension,’ which is partly based on GP analysis methods, is a misnomer. Going further, they suggest that ‘model independence’ itself is an outdated concept in the era of `precision cosmology', as it typically underestimate the errors on parameters.

Ó Colgáin, E., Sheikh-Jabbari, M.M. Elucidating cosmological model dependence with H0. Eur. Phys. J. C 81, 892 (2021). https://doi.org/10.1140/epjc/s10052-021-09708-2

This was our first experience of publishing with EPJ Web of Conferences. We contacted the publisher in the middle of September, just one month prior to the Conference, but everything went through smoothly. We have had published MNPS Proceedings with different publishers in the past, and would like to tell that the EPJ Web of Conferences team was probably the best, very quick, helpful and interactive. Typically, we were getting responses from EPJ Web of Conferences team within less than an hour and have had help at every production stage.
We are very thankful to Solange Guenot, Web of Conferences Publishing Editor, and Isabelle Houlbert, Web of Conferences Production Editor, for their support. These ladies are top-level professionals, who made a great contribution to the success of this issue. We are fully satisfied with the publication of the Conference Proceedings and are looking forward to further cooperation. The publication was very fast, easy and of high quality. My colleagues and I strongly recommend EPJ Web of Conferences to anyone, who is interested in quick high-quality publication of conference proceedings.

On behalf of the Organizing and Program Committees and Editorial Team of MNPS-2019, Dr. Alexey B. Nadykto, Moscow State Technological University “STANKIN”, Moscow, Russia. EPJ Web of Conferences vol. 224 (2019)

ISSN: 2100-014X (Electronic Edition)

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