Expected Statistics for GlueX

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\sigma _{{tot}} 124.0\pm 2.5 \mu b
p\pi ^{{+}}\pi ^{{-}} 14.7 \pm 0.6 \mu b
pK^{{+}}K^{{-}} 0.58 \pm 0.05 \mu b
n2\pi ^{{+}}\pi ^{{-}} 3.2 \pm 0.7 \mu b
  • Basic formula to calculate expected events: N_{{raw}}=\sigma \times N_{{t}}\times N_{{\gamma }}\times T where
    • N_{{raw}}: expected raw events
    • \sigma : cross section for wanted reaction
    • N_{{t}}: density of target
    • N_{{\gamma }}: number of photons/s
    • T: integrated time
  • The total number of events that we actually detect is then n=N_{{raw}}\times \epsilon \times BR where
    • \epsilon : expected construction efficiency for this channel
    • BR: the branching fraction of the particular decay to this channel

so that n=\sigma \times N_{{t}}\times N_{{\gamma }}\times T\times \epsilon \times BR, and the number of events is the product of 6 factors.

  • The target density, N_{{t}} is the easiest to determine. With a 30cm LH_{{2}} target, the density is 1.26b^{{-1}}
  • The photon rate is expected to start at 10^{{7}}\gamma /s, with a gradual increase to the maximum of 10^{{8}}\gamma /s
  • For the integrated time T, we assume, as in the previous studies listed above, that we run for 1 year, of which 6 months is datataking, with 1/3 efficiency (effectively 2 months out of the first year), which gives us 5\times 10^{{6}} s (this efficiency also takes into account the tagging ratio)
  • The most difficult estimates are the factors of \sigma (the cross section), \epsilon (the efficiency of reconstruction), and BR (the branching ratio), all of which are dependent on the specific channel of interest. Here we take the channel \pi \pi \pi (n), since this is one of the prime channels of interest, and Monte Carlo studies have been done on this channel. According to the SLAC data above, the cross section for n2\pi ^{{+}}\pi ^{{-}} is \sigma =3.2\mu b, of which an unknown fraction will be our signal of interest, the \pi _{{1}}(1600). Current (2011) efficiency studies by Jake Bennett at IU show that the reconstruction efficiency in the mass region of interest is around 20\%, with hopefully an increase as the kinematic fitter is further developed. Taking BR=1, we come to our final estimate of

n=3.2[\mu b]\times 1.26[b^{{-1}}]\times 10^{{7}}[s^{{-1}}]\times 5\times 10^{{6}}[s]\times 0.20\times 1=400M events.

  • This number can be contrasted with the estimates given in the above references, for example, p\pi ^{{+}}\pi ^{{-}} assuming \sigma =20\mu b and \epsilon =0.75 and the same flux and integrated time as above gives 940M events in the 1st year.
  • Also to be contrasted is the number of events in other analyses. These include:
  • In conclusion, even with the relatively pessimistic numbers of T= 2 months effective running, \epsilon =0.20, N_{{\gamma }}=10^{{7}}\gamma /s, GlueX should accumulate on the order of several hundred million events in the channels of interest, which is at least 2-3 orders of magnitude higher than other experiments.