Data of nearby space objects using SIMBAD astronomical database

Abstract

Although SIMBAD Astronomical Database lets us write our query to extract data, there are some problems. Max record number in each query is too low. Also, repeating the name of stars in different records is a big problem. Hence, we wrote a script and executed it at different distances. Also, we wrote a program for grouping data and deleting repeated records. The article represents the distance, temperature, and Redshift of 93,060 nearby space objects, including stars, quasars, white dwarfs, and carbon stars. The objects' temperatures are between 671 and 99,575 K, and the distances of the objects are between 413.13 and 0.5 (mas). We have retrieved this information from almost 2,200,000 records. In addition, we have added two new columns for providing equivalent distances in the light year and peak frequency of the black body. All data are in a simple table in a Microsoft Access Database and a copy in the Excel. We have excluded data from space objects whose temperature doesn't exist and space objects whose Redshift is less than zero (Blueshift). The SIMBAD Astronomical Database provides the distance of the space objects using the parallax method. The advantage of choosing nearby stars is using the Parallax method for calculating the distance of the stars, which is more precise than other methods. The Parallax data help us to investigate space objects in a no-expansion universe. We can use this data in many different investigations. Finding a correlation between temperature and Redshift of stars, investigating the nature of nearby space objects with Redshift higher than 1, and investigating the origin of the Quantum Redshift in a no expansion universe using parallax distance are some useful usages of this data.