How many stars in the observable universe
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Estimating the Number of Stars in the Observable Universe
Introduction to Star Count Estimations
The observable universe is vast, containing an immense number of stars spread across billions of galaxies. Estimating the total number of stars involves complex methodologies and astronomical observations. This article synthesizes recent research to provide an understanding of how many stars exist in the observable universe.
Photometry-Based Estimations
A novel approach to estimating the total number of stars in the universe uses photometry-based methods. This technique relies on the energy conservation law and measurements of extragalactic background light levels. By assuming that every radiated photon remains within the universe, researchers have estimated the total number of stars to be approximately 6×10²² .
Galaxy-Based Calculations
Another method involves calculating the number of stars based on the number of galaxies and the average number of stars each galaxy contains. Observational evidence suggests there are about 100 billion galaxies in the observable universe, with each galaxy containing roughly 100 billion stars on average 58. This leads to an estimated total of 10²² stars, aligning closely with the photometry-based estimation.
Specific Star Catalogs and Observations
Detailed star catalogs, such as the OGLE project, provide insights into specific types of stars within our galaxy. For instance, the OGLE project has cataloged nearly 66,000 Mira-type variable stars in the Milky Way . While these catalogs focus on specific star types and regions, they contribute to the broader understanding of star distribution and density within galaxies.
Conclusion
Combining various estimation methods, including photometry-based calculations and galaxy-based averages, researchers consistently estimate the number of stars in the observable universe to be around 10²². This immense number underscores the vastness of the cosmos and the complexity involved in astronomical measurements and estimations.
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