Dr. Michael Bulmer (Michael Bulmer) and Kevin Pimbblet (Kevin Pimbblet) from the Australian University of Queensland (University of Queensland) have developed a simple and unexpected method of generating random numbers.
The true random numbers are used in many areas of numerical modeling. In particular, they are needed in the analysis of different models of the evolution of galaxies, or for processing, mathematical statistical models.
"Produce" are numbers only on a computer using software alone — it is impossible. This way you can work out only a pseudo-random number that randomness is not always enough.
The starting point for the generation of random numbers are some sources of noise. It helps the same astronomy.
For example, scientists take readings from the CCD placed in the focus of the telescope aimed at a randomly selected portion of the sky.
Here we must note that the matrix not only react to light, but on the cosmic rays that fire which is rather chaotic.
The distribution of "light" and "dark" pixels can be converted to a long integer. But it does not always satisfy the requirements of randomness.
After several consecutive taken such numbers should in no way be similar and related, and the "space" numbers (in binary form) is dominated by zeros (black areas), which is more than just the pictures.
Australian researchers have written a program that converts to a random number of any image — a family photo or a picture of cat faces.
First picture translates into black-and-white version. Then all the gray levels are converted to white or black pixels that are deployed by-line and converted into text format where the file consists of a series of zeros and ones — the unknown number.