Difference between revisions of "Ideal Fermi Gas"

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imported>Junruli
imported>Junruli
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\sum_i  f(\epsilon_i, \mu, T)</math>.
 
\sum_i  f(\epsilon_i, \mu, T)</math>.
 
== Fermi Energy ==
 
== Fermi Energy ==
At <math>T = 0</math>, <math>\mu</math> is the energy of the highest occupied state of the non-interacting Fermi gas. This is also called the Fermi energy <math>E_F</math>. In free space and zero temperature, we have the simplified Fermi-Dirac distribution
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A very direct consequence of the Fermi - Dirac distribution is the existence of Fermi energy <math>E_F</math>, defined as the energy of the highest occupied state of the non-interacting Fermi gas at <math>T=0</math>. In this case, the FD distribution takes the simple form, we have the simplified Fermi-Dirac distribution
 
:<math>
 
:<math>
 
f(\epsilon, \mu, T=0) = 1
 
f(\epsilon, \mu, T=0) = 1
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</math>
 
</math>
  
In terms of local Fermi energy, For a harmonic trap we obtain
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In terms of local Fermi energy, For a harmonic trap, we obtain
 
:<math>
 
:<math>
 
     N &=& \Int{r} \; n_F(\vect{r}) = \frac{1}{6} \left(\frac{E_F}{\hbar \bar{\omega}}\right)^3\nonumber\\
 
     N &=& \Int{r} \; n_F(\vect{r}) = \frac{1}{6} \left(\frac{E_F}{\hbar \bar{\omega}}\right)^3\nonumber\\
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</math>
 
</math>
 
with the Fermi radii <math>R_{F{x,y,z}} = \sqrt{\frac{2 E_F}{m\omega_{x,y,z}^2}}</math>. The profile of the degenerate Fermi gas has a rather flat top compared to the gaussian profile of a thermal cloud, as the occupancy of available phase space cells saturates at unity.
 
with the Fermi radii <math>R_{F{x,y,z}} = \sqrt{\frac{2 E_F}{m\omega_{x,y,z}^2}}</math>. The profile of the degenerate Fermi gas has a rather flat top compared to the gaussian profile of a thermal cloud, as the occupancy of available phase space cells saturates at unity.
 +
 
=== Finite Temperature effect ===
 
=== Finite Temperature effect ===
 
At finite <math>T \lesssim T_F</math>, we can understand the shape of the cloud by comparing <math>k T</math> with the local Fermi energy <math>\epsilon_F(\vec{r})</math>.  
 
At finite <math>T \lesssim T_F</math>, we can understand the shape of the cloud by comparing <math>k T</math> with the local Fermi energy <math>\epsilon_F(\vec{r})</math>.  

Revision as of 18:49, 11 May 2017

We talk about basics for an ideal Fermi gas.

Fermi-Dirac distribution

The particles in an atom trap are isolated from the surroundings, thus the atom number and total energy content of the atomic cloud is fixed. However, it is convenient to consider the system to be in contact with a reservoir, with which it can exchange particles and energy (grand canonical ensemble). For non-interacting particles with single-particle energies , the average occupation of state is

These is the Fermi-Dirac distribution. For a fixed number of particles one chooses the chemical potential such that .

Fermi Energy

A very direct consequence of the Fermi - Dirac distribution is the existence of Fermi energy , defined as the energy of the highest occupied state of the non-interacting Fermi gas at . In this case, the FD distribution takes the simple form, we have the simplified Fermi-Dirac distribution

The (globally) largest momentum is , the Fermi momentum. Locally, at position Failed to parse (unknown function "\vect"): {\displaystyle \vect{r}} in the trap, it is with the local Fermi energy which equals . The value of is fixed by the number of fermions , occupying the lowest energy states of the trap.

Trapped Fermi Gas

Harmonic Trap

Applying these distributions to particles confined in a harmonic trap, with trapping potential

We assume that the thermal energy is much larger than the quantum mechanical level spacings (Thomas-Fermi approximation). In this case, the occupation of a phase space cell (which is the phase-space density times $h^3$) is given by

The density distribution of the thermal gas is

where is the de Broglie wavelength. is the -order Polylogarithm, defined as

where the first integral is over dimensions, is the radius vector in dimensions, is any positive half-integer or zero and is the Gamma-function. The Polylogarithm can be expressed as a sum which is often used as the definition of the Polylogarithm. This expression is valid for all complex numbers and where . The definition given in the text is valid for all .

Special cases: , . can be written as . When integrating density distributions to obtain column densities, a useful formula is:

Limiting values: and .}. Note that expression for is correct for any potential . The constraint on the number of thermal particles is

Failed to parse (unknown function "\intpd"): {\displaystyle N_{th} = \intpd\; r \; n_{th}(\vec{r}) \,. }

For a harmonic potential, we obtain

with the geometric mean of the trapping frequencies.

In the classical limit at high temperature, we recover the Maxwell-Boltzmann result of a gaussian distribution,

The regime of quantum degeneracy is reached when , or when the temperature . The degeneracy temperature is around or below one for typical experimental conditions.

For {\bf bosons}, it is at this point that the ground state becomes macroscopically occupied and the condensate forms. For {\bf fermions}, the occupation of available phase space cells smoothly approaches unity without any sudden transition:

Failed to parse (unknown function "\begin{array}"): {\displaystyle f(\vec{r},\vec{p}) = \frac{1}{e^{(\frac{\vec{p}^2}{2m} + V(\vec{r}) - \mu)/k_B T} + 1} \stackrel{T \rightarrow 0} \rightarrow \left\{% \begin{array}{ll} 1, & \hbox{$\frac{\vec{p}^2}{2m} + V(\vec{r}) < \mu$} \\ 0, & \hbox{$\frac{\vec{p}^2}{2m} + V(\vec{r}) > \mu$} \\ \end{array}% \right. }

Accordingly, also the density profile changes smoothly from its gaussian form at high temperatures to its zero temperature shape:

Failed to parse (unknown function "\vect"): {\displaystyle n_F(\vect{r}) &=& \Intp{p} \, f(\vect{r},\vect{p}) \stackrel{T\rightarrow 0}{\rightarrow} \int_{\left|\vect{p}\right|< \sqrt{2m(\mu-V(\vect{r}))}} \frac{{\rm d}^3\vect{p}}{(2\pi\hbar)^3}\nonumber\\ &=& \frac{1}{6\pi^2} \left(\frac{2m}{\hbar^2}\right)^{3/2} \left(\mu - V(\vect{r})\right)^{3/2}. }

In terms of local Fermi energy, For a harmonic trap, we obtain

Failed to parse (syntax error): {\displaystyle N &=& \Int{r} \; n_F(\vect{r}) = \frac{1}{6} \left(\frac{E_F}{\hbar \bar{\omega}}\right)^3\nonumber\\ \Rightarrow E_F &=& \hbar \bar{\omega} (6 N)^{1/3} }

and for the zero-temperature profile

Failed to parse (unknown function "\vect"): {\displaystyle n_F(\vect{r}) &=& \frac{8}{\pi^2} \frac{N}{R_{Fx} R_{Fy} R_{Fz}} \; \left[\max \left(1 - \sum_i \frac{x_i^2}{R_{Fi}^2},0\right)\right]^{3/2} }

with the Fermi radii . The profile of the degenerate Fermi gas has a rather flat top compared to the gaussian profile of a thermal cloud, as the occupancy of available phase space cells saturates at unity.

Finite Temperature effect

At finite , we can understand the shape of the cloud by comparing with the local Fermi energy . For the outer regions in the trap where , the gas shows a classical (Boltzmann) density distribution . In the inner part of the cloud where , the density is of the zero-temperature form . The Polylogarithm smoothly interpolates between the two regimes. We notice here the difficulty of thermometry for very cold Fermi clouds: Temperature only affects the far wings of the density distribution where the signal to noise ratio is poor. While for thermal clouds above , the size of the cloud is a direct measure of temperature, for cold Fermi clouds one needs to extract the temperature from the shape of the distribution's wings. Note that the validity of the above derivation required the Fermi energy to be much larger than the level spacing . For example, in very elongated traps, and for low atom numbers, one can have a situation where this condition is violated in the tightly confining radial dimensions.