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		<title>Shaproma: Created page with '[https://wiki.iac.isu.edu/index.php/Simulations_of_Particle_Interactions_with_Matter._Dr._Forest._Fall_2011 go back]  ====Thin Absorbers====  In thin absorbers the number of coll…'</title>
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		<updated>2011-10-04T14:32:47Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;#039;[https://wiki.iac.isu.edu/index.php/Simulations_of_Particle_Interactions_with_Matter._Dr._Forest._Fall_2011 go back]  ====Thin Absorbers====  In thin absorbers the number of coll…&amp;#039;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;[https://wiki.iac.isu.edu/index.php/Simulations_of_Particle_Interactions_with_Matter._Dr._Forest._Fall_2011 go back]&lt;br /&gt;
&lt;br /&gt;
====Thin Absorbers====&lt;br /&gt;
&lt;br /&gt;
In thin absorbers the number of collisions is small preventing the use of the central limit theorem to describe the stochastic process of energy loss in terms of a Gaussian distribution.  The Large energy transfers that are possible cause the energy loss distribution to look like a Gaussian one with a high energy tail (or foot).&lt;br /&gt;
&lt;br /&gt;
The skewness of the resulting energy loss distribution is quantified as &lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;\kappa = \frac{\bar{\Delta}}{W_{max}}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\Delta  \equiv 2 \pi N_a r_e^2 m_e c^2 \rho \frac{Z}{A} \left ( \frac{z}{\beta}\right)^2 x &amp;lt;/math&amp;gt; = lead term in Bethe Bloch equation&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\rho&amp;lt;/math&amp;gt; = density of absorbing material.&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;W_{max} = \frac{(pc)^2}{\frac{1}{2} \left [  m_e c^2 + \left ( \frac{M^2 c^2}{m_e} \right ) \right ] + \sqrt{(pc)^2 + (Mc^2)^2}}&amp;lt;/math&amp;gt; = max energy transfered in 1 collision (headon / knock out collision)&lt;br /&gt;
&lt;br /&gt;
This comes from the relativistic kinematics of an Elastic Collision.&amp;lt;br&amp;gt;&lt;br /&gt;
[[Image:SPIM_ThinAbsorbers_Scatering.jpg | 400 px]]&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\gamma = \frac{E_{tot}}{Mc^2} = \frac{ \sqrt{(pc)^2 + (Mc^2)^2}}{Mc^2}&amp;lt;/math&amp;gt;&lt;br /&gt;
:&amp;lt;math&amp;gt;\beta= \frac{pc}{\gamma Mc^2} = \frac{pc}{E_{tot}}&amp;lt;/math&amp;gt;&lt;br /&gt;
: &amp;lt;math&amp;gt;E_k = E_{tot} - Mc^2 = \gamma Mc^2 - Mc^2 = (\gamma - 1 ) Mc^2&amp;lt;/math&amp;gt;&lt;br /&gt;
: &amp;lt;math&amp;gt;E_k = \sqrt{(pc)^2 + (Mc^2)^2} - Mc^2 &amp;lt;/math&amp;gt;&lt;br /&gt;
:&amp;lt;math&amp;gt;   (p^{\prime}c)^2 = E_k^2 + 2E_km_ec^2&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
Conservation of Momentum &amp;lt;math&amp;gt;\Rightarrow&amp;lt;/math&amp;gt; :&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\vec{p} = \vec{p}^{\; \prime \prime} + \vec{p}^{\; \prime}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Conservation of Energy &amp;lt;math&amp;gt;\Rightarrow&amp;lt;/math&amp;gt; :&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;E_{tot} + m_ec^2 = E_{tot}^{\prime \prime} + E_{tot}^{\prime}&amp;lt;/math&amp;gt;&lt;br /&gt;
: &amp;lt;math&amp;gt;\sqrt{(pc)^2 + (Mc^2)^2} + m_ec^2 = \sqrt{(p^{\; \prime \prime} c)^2 + (Mc^2)^2}  + E_k +  m_e c^2&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
using conservation of E &amp;amp; P as well as substituting for &amp;lt;math&amp;gt;p^{\prime}&amp;lt;/math&amp;gt; you can show&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;(p^{\; \prime \prime}c)^2 = (pc)^2 - 2E_k\sqrt{(pc)^2 +(Mc^2)^2} + E_k^2&amp;lt;/math&amp;gt; : cons of E&lt;br /&gt;
:&amp;lt;math&amp;gt;= (pc)^2 + E_k^2 + 2E_km_ec^2 -2pc\sqrt{E_k^2+2E_km_ec^2} \cos(\theta)&amp;lt;/math&amp;gt; : cons of P&lt;br /&gt;
&lt;br /&gt;
&amp;lt;math&amp;gt;\Rightarrow&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;pc \cos(\theta) \sqrt{1+\frac{2m_ec^2}{E_k}} = \sqrt{(pc)^2+(Mc^2)^2} + m_ec^2&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
solving for &amp;lt;math&amp;gt;E_k&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
:&amp;lt;math&amp;gt;E_k = \frac{2m_ec^2(pc)^2\cos^2 (\theta)}{[\sqrt{(pc)^2 + (Mc^2)^2} +m_ec^2]^2 - (pc)^2 \cos^2 (\theta)}&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
===== (Landau Theory) =====&lt;br /&gt;
&amp;lt;math&amp;gt;\kappa \leq 0.01&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
Landau assumed&lt;br /&gt;
:# &amp;lt;math&amp;gt;W_{max} = \infty&amp;lt;/math&amp;gt; is max energy transfer&lt;br /&gt;
:# electrons are free (energy transfer is so large you can neglect binding)&lt;br /&gt;
:# incident particle maintains velocity (large momentum transfer from big mass to small mass) (bowling ball hits ping pong ball)&lt;br /&gt;
&lt;br /&gt;
L. Landau, &amp;quot;On the Energy Loss of Fast Particles by Ionization&amp;quot;, J. Phys., vol 8 (1944), pg 201&lt;br /&gt;
&lt;br /&gt;
instead of a gaussian distribution Landau used&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;P(x,\Delta) \propto \frac{1}{\bar{\Delta}\pi} \int_0^{\infty} e^{-u \ln u - u \lambda} \sin(\pi u) du&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;\lambda = \frac{1}{\bar{\Delta}} \left [ \Delta - \bar{\Delta} \ln \bar{\Delta} - \ln \epsilon + 1 -C \right ]&amp;lt;/math&amp;gt;&lt;br /&gt;
: &amp;lt;math&amp;gt;\bar{\Delta} = 2\pi N_a r_e^2 m_e c^2 \rho \frac{Zz^2}{A \beta^2}x&amp;lt;/math&amp;gt;&lt;br /&gt;
:&amp;lt;math&amp;gt;\ln \epsilon = \ln \left [ \frac{(1-\beta^2)I^2}{2m_ec^2 \beta^2} \right ]&amp;lt;/math&amp;gt;&lt;br /&gt;
: &amp;lt;math&amp;gt;C = 0.577&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Image:SPIM_Landau_ThinAbsorberDist.jpg]]&lt;br /&gt;
&lt;br /&gt;
===== (Vavilou's Theory) =====&lt;br /&gt;
&lt;br /&gt;
Vavilous paper&lt;br /&gt;
&lt;br /&gt;
P.V. Vavilou, &amp;quot;Ionization losses of High Energy Heavy Particles&amp;quot;, Soviet Physics JETP, vol 5 (1950? )pg 749&lt;br /&gt;
&lt;br /&gt;
describe the physics for the case &lt;br /&gt;
&lt;br /&gt;
;&amp;lt;math&amp;gt;0.01 &amp;lt; \kappa &amp;lt; \infty &amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
The distribution function derived is shown below as well as a conceptual overlay of Vavilou's and Landau's distributions.  (The &amp;lt;math&amp;gt;\zeta f(x,\Delta)&amp;lt;/math&amp;gt; in the picture should be a &amp;lt;math&amp;gt;\bar{\Delta}P(x,\Delta)&amp;lt;/math&amp;gt; )&lt;br /&gt;
&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;P(x,\Delta) = \frac{1}{\bar{\Delta}\pi} x e^{x(1+\beta^2C)} \int_0^{\infty} e^{xf_1} \cos(y \lambda_1 + xf_2) dy&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
where&lt;br /&gt;
&lt;br /&gt;
: &amp;lt;math&amp;gt;f_1 = \beta^2 \left [ \ln(y) - C_i(y)\right ] - \cos(y) - y S_i(y)&amp;lt;/math&amp;gt;&lt;br /&gt;
: &amp;lt;math&amp;gt;f_2 = y\left [ \ln(y) - C_i(y)\right ] + \sin(y) + \beta^2  S_i(y)&amp;lt;/math&amp;gt;&lt;br /&gt;
: &amp;lt;math&amp;gt;C_i(y) \equiv - \int_y^{\infty} \frac{\cos(t)}{t} dt&amp;lt;/math&amp;gt;&lt;br /&gt;
: &amp;lt;math&amp;gt;S_i(y) \equiv \int_0^{y} \frac{\sin(t)}{t} dt&amp;lt;/math&amp;gt;&lt;br /&gt;
: &amp;lt;math&amp;gt;C = 0.577&amp;lt;/math&amp;gt;&lt;br /&gt;
&lt;br /&gt;
[[Image:SPIM_Vavilou_Landau_ThinAbsorber.jpg | 400 px]]&lt;/div&gt;</summary>
		<author><name>Shaproma</name></author>
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