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CHAPTER 4. DATA ANALYSIS<br />

In or<strong>de</strong>r to <strong>de</strong>termine the temperature of the gas, we release the<br />

atoms from their trap and study the momentum distribution. Since the<br />

gas is in the trap, this distribution will not have the shape of a Fermi<br />

distribution – the chemical potential varies in the trap. Instead, we<br />

obtain a bell-shaped distribution. At higher temperatures the width of<br />

this curve gives the temperature, while at low temperatures the width<br />

stays constant. This is an effect known as the Fermi pressure [14, 15].<br />

We <strong>de</strong>termine the temperature of a fermionic cloud by fitting an image<br />

of the cloud to a theoretical function, which we want to <strong>de</strong>velop in this<br />

section.<br />

One of our former group members, Julien Cubizolles [71], has <strong>de</strong>veloped<br />

a fit based on the Sommerfeld approximation of the Fermi<br />

function. This fitting routine was useful, while limited, since he used<br />

approximations only valid in a certain temperature range, leading to a<br />

divergence of the fit once out of this range. A variation of the method we<br />

present here has been used in the group at Duke University. They c<strong>la</strong>im<br />

that the fitting function <strong>de</strong>veloped here can also be used with a strongly<br />

interacting gas if one introduces and additional calibration parameter<br />

[31]. They <strong>de</strong>veloped a new technique to <strong>de</strong>termine this parameter:<br />

they released the gas from the trap for a short while, recapturing it<br />

afterwards. The gas heats during this time in a controlled way. This<br />

way they created a reference scale using which they could <strong>de</strong>termine<br />

the calibration parameter for their fitting routine.<br />

Via absorption imaging, one measures the <strong>de</strong>nsity of atoms integrated<br />

over the line of sight. Traditionally we integrate over a second direction<br />

to get a resulting curve which can then be fitted to a function. In case<br />

of a non-interacting Fermi gas, the <strong>de</strong>nsity can be easily calcu<strong>la</strong>ted.<br />

For fermions, the occupation probability follows the well-known<br />

Fermi-Dirac distribution<br />

f(E) =<br />

1<br />

e β(E−µ) + 1<br />

with β = 1<br />

kBT<br />

(4.1)<br />

µ is the chemical potential. Using the local <strong>de</strong>nsity approximation, the<br />

phase space <strong>de</strong>nsity w(r, k) in a harmonic trap is given by<br />

w(r, p) = (2π¯h) −3<br />

�<br />

e β<br />

�<br />

p2 2m + 1 �<br />

2 m j ω2 j r2 j −µ<br />

�<br />

+ 1<br />

� −1<br />

(4.2)<br />

As we want to use these functions to fit our data, we need to integrate<br />

over four or five dimensions, <strong>de</strong>pending on whether we want to do a twoor<br />

one-dimensional fit. One should remember that we do not normally<br />

74

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