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Towards machine-assisted meta-studies: the Hubble constant

Crossland, T; Stenetorp, P; Riedel, S; Kawata, D; Kitching, TD; Croft, RAC; (2020) Towards machine-assisted meta-studies: the Hubble constant. Monthly Notices of the Royal Astronomical Society , 492 (3) pp. 3217-3228. 10.1093/mnras/stz3400. Green open access

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Abstract

We present an approach for automatic extraction of measured values from the astrophysical literature, using the Hubble constant for our pilot study. Our rules-based model – a classical technique in natural language processing – has successfully extracted 298 measurements of the Hubble constant, with uncertainties, from the 208 541 available arXiv astrophysics papers. We have also created an artificial neural network classifier to identify papers in arXiv which report novel measurements. From the analysis of our results we find that reporting measurements with uncertainties and the correct units is critical information when distinguishing novel measurements in free text. Our results correctly highlight the current tension for measurements of the Hubble constant and recover the 3.5σ discrepancy – demonstrating that the tool presented in this paper is useful for meta-studies of astrophysical measurements from a large number of publications.

Type: Article
Title: Towards machine-assisted meta-studies: the Hubble constant
Open access status: An open access version is available from UCL Discovery
DOI: 10.1093/mnras/stz3400
Publisher version: https://doi.org/10.1093/mnras/stz3400
Language: English
Additional information: This version is the version of record. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: publications, bibliography – methods: data analysis – astronomical data bases: miscellaneous – cosmological parameters.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Space and Climate Physics
URI: https://discovery.ucl.ac.uk/id/eprint/10092076
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