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	<title>The AstroStat Slog &#187; Higgs Boson</title>
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		<title>The Banff Challenge [Eqn]</title>
		<link>http://groundtruth.info/AstroStat/slog/2008/eotw-banff-challenge/</link>
		<comments>http://groundtruth.info/AstroStat/slog/2008/eotw-banff-challenge/#comments</comments>
		<pubDate>Wed, 23 Jul 2008 17:00:48 +0000</pubDate>
		<dc:creator>vlk</dc:creator>
				<category><![CDATA[Jargon]]></category>
		<category><![CDATA[Physics]]></category>
		<category><![CDATA[Stat]]></category>
		<category><![CDATA[Banff Challenge]]></category>
		<category><![CDATA[EotW]]></category>
		<category><![CDATA[Equation]]></category>
		<category><![CDATA[Equation of the Week]]></category>
		<category><![CDATA[Higgs Boson]]></category>
		<category><![CDATA[LHC]]></category>

		<guid isPermaLink="false">http://groundtruth.info/AstroStat/slog/?p=357</guid>
		<description><![CDATA[With the LHC coming on line anon, it is appropriate to highlight the Banff Challenge, which was designed as a way to figure out how to place bounds on the mass of the Higgs boson.  The equations that were to be solved are quite general, and are in fact the first attempt that I [...]]]></description>
			<content:encoded><![CDATA[<p>With the LHC coming on line anon, it is appropriate to highlight the <a href="http://newton.hep.upenn.edu/~heinrich/birs/">Banff Challenge</a>, which was designed as a way to figure out how to place bounds on the mass of the Higgs boson.  The equations that were to be solved are quite general, and are in fact the first attempt that I know of where calibration data are directly and explicitly included in the analysis.<span id="more-357"></span></p>
<p>The observables are counts <em>N</em>, <em>Y</em>, and <em>Z</em>, with</p>
<blockquote><p><strong>N ~ Pois(&#949; &#955;<sub>S</sub> + &#955;<sub>B</sub>) </strong>,<strong><br />
Y ~ Pois(&#961; &#955;<sub>B</sub>) </strong>,<strong><br />
Z ~ Pois(&#949; &#965;)</strong> ,</p></blockquote>
<p>where &#955;<sub>S</sub> is the parameter of interest (in this case, the mass of the Higgs boson, but could be the intensity of a source), &#955;<sub>B</sub> is the parameter that describes the background, &#949; is the efficiency, or the effective area, of the detector, and &#965; is a calibrator source with a known intensity.</p>
<p>The challenge was (is) to infer the maximum likelihood estimate of and the bounds on &#955;<sub>S</sub>, given the observed data, <em>{N, Y, Z}</em>.  In other words, to compute </p>
<blockquote><p><strong>p(&#955;<sub>S</sub>|N,Y,Z)</strong> .</p></blockquote>
<p>It may look like an easy problem, but it isn&#8217;t!</p>
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