Does the radioactive decay obey the Poisson statistics ?

نویسنده

  • A. A. Kirillov
چکیده

It is shown that a nontrivial quantum structure of our space at macroscopic scales, which may exist as a relic of quantum gravity processes in the early universe, gives rise to a new fundamental phenomenon: spontaneous origin of an interference picture in every physical process. This explains why statistical distributions in radioactivity measurements may be different from the Poisson distribution. In this letter I would like to draw attention to the strange phenomenon which was claimed to be observed in radioactivity measurements [1]. The phenomenon pointed out represents the fact that an instant shape of the probability density distribution for the number of fissions, which should obey the conventional Poisson distribution, apparently exhibits the existence of a fine structure. Presumably, this structure evolves and disappears after averaging over some period of time. The last fact would explain why it is difficult to observe this structure in consecutive measurements (as in the case of radioactive decay) and why in Ref. [1] it was used a rather nonstandard procedure to analyze measurement data. The oddity (from the modern physics standpoint) of such a phenomenon causes strong doubts in the existence of the effect itself and makes people 1 The claims of Ref. [1] are more ambitious. However, from our point of view the most important fact, which can be extracted from this work, is the possible violation of the Poisson statistics.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Poisson Statistics of Radioactive Decay

Poisson statistics were studied using the radioactive decay of Cs as a source. A scintillation counter measured gamma rays emitted by Cs as well as background from cosmic rays and other experiments in the laboratory. Data from approximate mean rates of 1, 4, 10 and 100 counts/sec was compared to both theoretical Poisson distributions and Monte Carlo simulations. The reduced chi squared values f...

متن کامل

Poisson Statistics

Prior scientific knowledge has shown that the radioactive decay of nuclei can be modeled as a series of independent, random events. [1] The probability for the occurence of such events can thus be modeled by Poisson statistics. In this experiment, we studied the radioactive decay of Cs by using a NaI scintillator. We recorded the counts per second for 100 consecutive one-second long intervals a...

متن کامل

Measured PET Data Characterization with the Negative Binomial Distribution Model

Accurate statistical model of PET measurements is a prerequisite for a correct image reconstruction when using statistical image reconstruction algorithms, or when pre-filtering operations must be performed. Although radioactive decay follows a Poisson distribution, deviation from Poisson statistics occurs on projection data prior to reconstruction due to physical effects, measurement errors, c...

متن کامل

Absorbed Dose Assessment from Short-Lived Radionuclides of Radon (222Rn) Decay Chain in Lung Tissue: A Monte Carlo Study

Introduction: Internal exposure to radon gas progeny can lead to serious biologic damages to the lung tissue. The aim of this study was to evaluate the absorbed dose by lung tissue due to the exposure from short-lived radioactive products of radon (222Rn) decay using Monte Carlo simulation. Material and Methods: A lung equivalent p...

متن کامل

Poisson-distributed electron-transfer dynamics from single quantum dots to C60 molecules.

Functional quantum dot (QD)-based nanostructures are often constructed through the self-assembly of QDs with binding partners (molecules or other nanoparticles), a process that leads to a statistical distribution of the number of binding partners. Using single QD fluorescence spectroscopy, we probe this distribution and its effect on the function (electron-transfer dynamics) in QD-C60 complexes...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000