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Next: Calorimeter Analysis and Simulation Up: Tracking Analysis of Monte Previous: Single Particle AcceptanceEfficiency

Charged Particle Backgrounds

As mentioned earlier the most challenging requirement for background rejection is for charge +1 high mass states, since this is where we wish to achieve the highest sensitivity, and where the background rates will be highest. Below we give the results of a Monte Carlo study of the dominant backgrounds for these states.

Our first test of the rejection power of the tracking system design was simply to run a large number of central Au-Au collisions (62,500) with the spectrometer field set for the positive strangelet search (+1.5T) and reconstruct all masses for tracks in the desired velocity range (0.701 tex2html_wrap_inline3309 0.973). This sample included all interactions in the detectors and air and had shielding hits overlaid as described above. When this sample was analysed as described above no masses outside the proton peak were found.

In studying this sample of events, we realized that if we loosen the requirements on the first straw tube array (S1) (i.e. do not require a confirming hit in S1) products from interactions in S1, S2, or the vacuum window could sometimes fake high mass objects. Thus if we could run enough simulated events we would find fake high mass events from interactions in S1, S2, or the vacuum window with a coincidental confirming hit in S1 due to some other track. This means that S1 is a possible single point failure for the tracking system. To study this background further we generated a sample of events in which we kept only those events with an interaction in a particular detector component. To further ``distill'' the sample we also required that the interaction send a charged track through the rest of the apparatus. This is precisely the process which, combined with a coincidental hit in S1, can fake a high mass track.

We note that to produce a fake high mass candidate the track must still have reasonable properties - it must point back to the interaction vertex vertically and in time, and must give a velocity in the desired range. Also, for all of these processes the track must point to a valid shower in the calorimeter having the correct position, time and energy. As discussed above, the calorimeter analysis is treated separately, leading to a background rejection factor which is independent of the rejection of the tracking system.

Table gif summarizes the results of analyzing central events with interactions in S1, S2, and the vacuum window (125,000 each). The simulation included all GEANT physics processes, and the events have shielding hits overlaid. The first four rows in the table list the materials and thicknesses used for the three sources of interactions. The next row gives the fraction of all central interactions which produced a secondary interaction in the specified detector. The next row lists the fraction of these secondary interactions that gave a charged track which made it all the way to the calorimeter. Next we give the number of events generated (125,000 for each source) which, when divided by the two fractions above, gives the number of central interactions required to produce these events. Finally, since the central interactions represent about 10% of the total interaction cross section, we give the total number of interactions required to produce these events. We then list the number of high mass candidates (mass tex2html_wrap_inline3367 10 GeV/c tex2html_wrap_inline2169 ) found. This allows the tracking system rejection for background from these sources to be computed. As shown in the last two rows of the table, to achieve a rejection of <9.7x tex2html_wrap_inline3373 , or one fake candidate per tex2html_wrap_inline3273 interactions requires a rejection of 1/20000 for the calorimeter. The analysis given below in the section on the calorimeter analysis for charged particles indicates that for masses greater than 7.5 GeV/c tex2html_wrap_inline2169 a rejection of 1/72000 should be possible for the calorimeter we propose.

   table739
Table: Summary of Background Due to Interactions in S1, S2 and Vacuum Window

Figure gif shows the mass spectrum for all late tracks reconstructed in the above analysis. Note again that every event in this analysis was forced

  
Figure: Mass spectrum for all late tracks reconstructed in the background analysis. Every event was forced to have an interaction in S1, S2 or the vacuum window which sent a charged particle through the rest of the apparatus.

to have an interaction in S1, S2, or the vacuum window which sent a charged particle through the rest of the apparatus, so that for background analysis this sample represents tex2html_wrap_inline3427 interactions. For the analysis above we have somewhat arbitrarily put a lower mass cutoff of 10 GeV/c tex2html_wrap_inline2169 . Looking at the mass spectrum, however, one can see that even going as low as 3 GeV/c tex2html_wrap_inline2169 would not more than double the background.

We should note that even though the simulations described above indicate that the apparatus has the desired rejection, there are a number of possible improvements which can be implemented within the scope of the present design. One possible improvement in tracking is to have some track vector information between the two spectrometer magnets. This could be accomplished without adding any more channels simply by longitudinally separating the three coordinates of S1. Another improvement in the tracking analysis is to reject hits in S1 as confirming hits for high mass candidates if the hits are shared with another track. We believe improvements in the calorimeter shower algorithm are also possible and we will study this further using the output of the GEANT calorimeter simulation discussed below.

We illustrate the possible tracking improvements by showing one of the events from our simulation. This event has a candidate which was rejected as ambiguous with a proton that did not come from the target. Figure gif shows a plan view of the hits in the detectors. The beam is from the left and the target and first magnet are off the page to the left. The scale at the bottom shows the distance from the target in meters. Only the useful field volume of the second magnet and the actual hits in the detectors are shown. Figure gif shows the same event with the downstream track segments found by the analysis program. One track as indicated passes the velocity cut to be considered a late track ( tex2html_wrap_inline3433 ). Figure gif shows the event with all tracks projected upstream to S1. The reconstructed mass for the late track using the downstream track segment is shown. Figure gif shows an expanded view of the tracks at S1 with the late track indicated. The late track matches well with one of the hits in S1. (It also matches well in the other views.) This particular hit is shared with another track so that the late track would be rejected by the improvement suggested above. Figure gif shows the projection of the late track using the measured time of flight but assuming a mass of 0.938 GeV/c tex2html_wrap_inline2169 . This assumption gives a projection which also matches a hit in S1 (in both views). Thus, this candidate is rejected as ambiguous.

  
Figure: Plan view of Monte Carlo Event. Only active volume of second magnet and hits in detectors are shown. Scale shows distance to target in meters.

  
Figure: Monte Carlo event with reconstructed downstream track segments. Late track is indicated.

  
Figure: Monte Carlo event with track segments projected upstream through second magnet. Reconstructed mass is shown for late track.

  
Figure: Expanded view of Monte Carlo event at first straw tube array (S1). Late track is indicated.

  
Figure: Monte Carlo event at S1 with late track projection assuming proton mass.


next up previous contents
Next: Calorimeter Analysis and Simulation Up: Tracking Analysis of Monte Previous: Single Particle AcceptanceEfficiency

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Tue Jan 21 17:29:21 EST 1997