Study On Distribution Function Of Molecule Beam

The research of molecule beam is an important means, through which we can study the structure of molecule and the interaction among molecule and other matters. It's hard to analyse the nature of single molecule for, the space among solid, liquid & intense gas is small as well as their complicated interaction. The bigger the space among thin gas molecules are, the less the interaction is, according to the reduce of pressure, but the movements are irregular, therefore, it is difficult to detect and study the molecule itself. However, molecule moves directly in molecule beam and their interaction can be ignored, so it's good to study the nature of molecule and their interaction. Therefore, the technology of molecule beam has important appliance to molecule physics, gas laser dynamics , plasma physics, chemistry reaction dynamics, of course, to space physics, globe physics and biology. Meanwhile, it is an important means to study the structure of solid surface.Being applied widely, it's very significant to study the distribution of molecule beam. To gas molecule, its velocity ranges in all possible space, but the molecules in molecule beam are differ for they run quickly, that is, it is apparently different from Maxwell speed distribution. Such distribution rules correlatively with velocity as energy, momentum, frequency and wavelength, are the key point of this study paper as well as the differece from other literatures.This text expatiates mainly details in such aspects as following:In chapter 1, correlational knowledge about molecule beam and why the paper study molecule beam is introduced.In chapter 2, from velocity distribution function of ideal gaseous molecule, this paper deduces Maxwell's speed distribution function.In chapter 3, molecule beam's speed distribution function is deduced from Maxwell's speed distribution function.In chapter 4, from molecule beam's speed distribution function, this paper deduces energy, momentum, frequency and wavelength distribution function.In chapter 5, any conclusion is drawn through comparing one distribution functions to another.