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Single Particle Acceptance, Efficiency and Resolution

To calculate the net acceptance and efficiency for finding particles of interest we merged GEANT output for full central Au-Au collisions with shielding hits and with single particle events in which the species of interest was generated according to the model described above. Thus we can estimate not only the probability that the interesting particle makes it through the apparatus, but also the probability of finding the track in the presence of the other tracks in the event and tracks from interactions in the surrounding material.

Runs of this type were carried out for a few thousand each of several of the interesting species at the appropriate settings of the spectrometer magnets. Figure gif shows the reconstructed mass spectrum for a charge +1 mass 12 GeV/c tex2html_wrap_inline2169 object. Some central protons are accepted by the detector and appear in the plot along with the higher mass peak. Figure gif shows the same plot with an expanded scale along with a Gaussian fit to the peak. The parameters of the fit are given on the plot.

  
Figure: Reconstructed mass (GeV/c tex2html_wrap_inline2169 ) spectrum for events with a charge +1 mass 12 GeV/c tex2html_wrap_inline2169 object.

  
Figure: Reconstructed mass (GeV/c tex2html_wrap_inline2169 )spectrum for a charge +1 mass 12 GeV/c tex2html_wrap_inline2169 object. Solid curve is a Gaussian fit to the peak.

Table gif gives the mass resolution, geometric acceptance and track reconstruction efficiency for several species covering the range of Z/A of interest at each of the magnetic field settings we plan to use. Also shown is the product of the acceptance times efficiency and the spectrometer magnetic field used. Both spectrometer magnets are set to the same field for all runs. The geometric acceptance of the apparatus is characterized by the acceptance in rigidity parallel and perpendicular to the incident beam direction ( tex2html_wrap_inline3327 and tex2html_wrap_inline3329 ). Table gif gives the acceptance in percent as a function of tex2html_wrap_inline3327 and tex2html_wrap_inline3329 for the spectrometer field set to +1.5T (positive strangelet search). For reference, a 10 GeV/ tex2html_wrap_inline3335 strangelet at center of mass rapidity for 11.7 GeV/c Au-Au collisions has rigidity 25 GeV/c and average P tex2html_wrap_inline3337 of 1.9 GeV/c according to our model. As an example, Table gif shows the acceptance as a function of P tex2html_wrap_inline3339 and rapidity for a 10 GeV charge +1 strangelet with the spectrometer field set to +1.5T.

   table694
Table: Summary of Single Particle Acceptance and Tracking Efficiency

  
Table: Acceptance in percent as a function of parallel and perpendicular rigidity

   table713
Table: Acceptance in percent for a 10 GeV charge +1 strangelet. The center of mass rapidity for Au-Pb collisions is 1.59

We have varied the parameters ( tex2html_wrap_inline3359 ) in the single particle generator over a reasonable range and have found the acceptance to be relatively insensitive to the details of the model. For example, varying tex2html_wrap_inline3361 from 0.5 to 0.9 changes the acceptance by from 10 to 30% depending on the charge and mass of the state considered.

A comment is in order regarding the overall tracking efficiency. In order to achieve very high background rejection redundant measurements are used. One must then require that every detector have the correct signal to form a good track. This means that, for example, if two particles strike a single hodoscope counter the vertical position measured by that counter will be incorrect, and will not match the straw tube hits. Both tracks will then be lost. We accept this inefficiency in order to achieve high background rejection. As discussed above, we have studied the optimization of scintillation counter sizes to minimize such losses. For more abundant species, where the highest background rejection is not required, one can be less stringent than requiring every detector to have the correct signal. Also, as a possible upgrade, we could add multi-hit capability to the digitizers. We have not assumed either of these however in calculating the efficiencies given in Table gif.

For neutral particles, we use the same single particle model to calculate the geometric acceptance. The efficiency for finding showers in the calorimeter will be discussed below. Table gif gives the geometric acceptance for neutral particles for several masses over the range of interest.

   table725
Table: Percent acceptance for neutral particles.


next up previous contents
Next: Charged Particle Backgrounds Up: Tracking Analysis of Monte Previous: Tracking Analysis Pattern Recognition

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Tue Jan 21 17:29:21 EST 1997