What is the Momentum Probability for a Gaussian Wave-Packet?

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Homework Statement



A free particle at time t=0 has the Gaussian wave-packet:

\Psi(x,t=0)=Ae^{-\tfrac{x^2}{2\sigma^2}}e^{ik_0x}

(a) What is A?
(b) What is the probability of measuring a momentum in the range between p
and p+dp?

Homework Equations



(a) \int^{\infty}_{-\infty}|\Psi(x,t)}|^2 dx=1

(b) \langle p\rangle=-ih\int^{\infty}_{-\infty}\left(\Psi^\ast\frac{\partial\Psi}{\partial x}\right)^2 dx

The Attempt at a Solution



(a) I think this is correct for A.
A=\frac{\sigma^2}{2\pi}

(b) This is where I'm having trouble. I tried evaluating this integral but it seems wrong:

\langle p\rangle=-ih\int^{p+dp}_{p}\left(\Psi^\ast\frac{\partial\Psi}{\partial x}\right)^2 dx

where
\Psi=\frac{\sigma^2}{2\pi}e^{-\tfrac{x^2}{2\sigma^2}}e^{ik_0x}

Please help I have a question similar to this on an exam this Monday!
 
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\langle p\rangle=-ih\int^{\infty}_{-\infty}\left(\Psi^\ast\frac{\partial\Psi}{\partial x}\right) dx

is the most likely value of the momentum that would be found in a measurement. In order to determine the probability of a specific value of momentum, you need to find the wavefunction in momentum space, \psi(p). There's a simple expression for the probability of measuring a momentum in the range between p and p+dp in terms of \psi(p).
 
Thanks I think I'm on the right track now. So I've done the Fourier transform to get into momentum space and I'm left with this:

\psi(p)=\frac{1}{\sqrt{2\pi\hbar}}\int^{\infty}_{-\infty}\Psi(x,t=0)e^{\tfrac{-ipx}{\hbar}} dx

But (I think) that reduces to:

\psi(p)=\frac{\sigma^3}{2\sqrt{\hbar}}

Which doesn't make sense to me since I think we need to use

P=\int^{p+dp}_{p}|\psi(p)|^2dp

to get the result and if I plug what I got in I just get

\frac{\sigma^6dp}{4\hbar}


which is def wrong. What am I doing wrong? Plz help!
 
Calculate carefully the Fourier transform. You have a Gaussian wave packet, and Gaussian wave packets have a peculiar property that they are Gaussian in momentum space as well.
 
To solve this, I first used the units to work out that a= m* a/m, i.e. t=z/λ. This would allow you to determine the time duration within an interval section by section and then add this to the previous ones to obtain the age of the respective layer. However, this would require a constant thickness per year for each interval. However, since this is most likely not the case, my next consideration was that the age must be the integral of a 1/λ(z) function, which I cannot model.
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