Abstract

An extraordinary number of Hubble constant measurements challenges physicists with selection of the best numerical value. The standard U.S. Nuclear Data Program (USNDP) codes and procedures have been applied to resolve this issue. The nuclear data approach has produced the most probable or recommended Hubble constant value of 67.00(770) (km/sec)/Mpc. This recommended value is based on the last 25 years of experimental research and includes contributions from different types of measurements. The present result implies (14.6±1.7) x 109 years as a rough estimate for the age of the Universe. The complete list of recommended results is given and possible implications are discussed.

Highlights

  • Hubble’s law and the constant play an important role in modern astrophysics and cosmology [1, 2]: v = Ho · D, (1)where are v is the recessional velocity, H0 is Hubble’s constant and D is the proper distance from the galaxy to the observer

  • The large number of measurements [4] creates a certain degree of confusion about Hubble constant numerical value, and scientists often rely on recently-published results

  • The Hubble constant combined central values extracted by means of different mathematical techniques are in good agreement, while uncertainties need further discussion

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Summary

Introduction

Hubble’s law and the constant play an important role in modern astrophysics and cosmology [1, 2]: v = Ho · D, (1). Where are v is the recessional velocity (km/sec), H0 is Hubble’s constant and D is the proper distance from the galaxy to the observer. Researchers have been improving the accuracy of the constant [3]. The large number of measurements [4] creates a certain degree of confusion about Hubble constant numerical value, and scientists often rely on recently-published results. The precision of Hubble constant measurements has improved enormously over the years; it is not always prudent to reject older results in favor of the latest findings. It makes perfect sense to analyze all available results, evaluate the data, and extract the recommended value

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