Study of<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:mrow><mml:mover><mml:mrow><mml:mi>p</mml:mi></mml:mrow><mml:mrow><mml:mi>¯</mml:mi></mml:mrow></mml:mover></mml:mrow></mml:mrow><mml:mo>−</mml:mo><mml:mi>p</mml:mi></mml:math>Annihilations into<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>K</mml:mi></mml:math>and<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mi>π</mml:mi></mml:math>Mesons at 3.

Baltay, C.; Lach, J.; Sandweiss, J.; Taft, H. D.; Yeh, N.; Stonehill, D. L.; Stump, R.

doi:10.1103/physrev.142.932

Cited by 44 publications

(5 citation statements)

References 25 publications

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“…Our results, and those obtained in other experiments [6][7][8][9], are shown in table 14. The resonance fractions in the other experiments were determined in exactly the same way as for the K-+K~Tr~Tr+TT final state.…”

Section: Percentagessupporting

confidence: 72%

“…12). There is marginal evidence for p production, some K* -+ Kn ~ but no K* -+ KTr °, some D ~ K-*K~Tr ~, and a low mass KK enhancement most of which is associated with the D. Estimates of co, p, K*, and D percentages for the four central momenta are listed in table 15, together with results of other experiments [6][7][8][9] (where the methods used were the same as in the five-body final states). Table 15 shows a roughly constant K* fraction, but the co and D fractions decrease with increasing momentum.…”

Section: ~P -+ K+'k~rr~(m)mentioning

confidence: 98%

“…In table 13 our results are compared with experiments at other momenta [6][7][8][9]. Tl,e resonance fractions at 1.2 GeV/c come from a simultaneous fit to all two-and three-body mass spectra, without allowance for associated production (except DO); those at the higher momenta come from simple fits to the mass spectra using only unambiguous events.…”

Section: Percentagesmentioning

confidence: 99%

“…In table 8 results on this reaction in different experiments [5,[7][8][9]13] are compared. Some caution is necessary here because of the differing methods used to obtain the resonance fractions.…”

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confidence: 99%

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Antiproton proton annihilations at 1.6–2.2 GeV/c into final states with a K1o meson

et al. 1972

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Antiproton proton annihilations into final states containing at least one K l meson have been studied in a 150 000 picture bubble chamber experiment. The experiment covered six'incident antiproton momenta in the range 1.6-2.2 GeV/c. Cross sections at each incident momentum are determined for the more abundantly produced final states, and momentum averaged cross sections are determined for some rarer final states, including O~ O,*O-+. .. . K K and K K K K. Coplous resonance production, Includlng double resonance production, is observed, and percentage contributions of different resonance channels are evaluated. Cross sections and resonance fractions are compared with results of other experiments at antiproton momenta in the range 0.7-3.7 GeV/c.

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Section: Percentagessupporting

confidence: 72%

Section: ~P -+ K+'k~rr~(m)mentioning

confidence: 98%

Section: Percentagesmentioning

confidence: 99%

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confidence: 99%

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Antiproton proton annihilations at 1.6–2.2 GeV/c into final states with a K1o meson

et al. 1972

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“…The cross sections of possible background channels like the non resonantpp → K 0 S K ± π ∓ [2] and channels with the same charged multiplicity likepp → K + K − π + π − [3] andpp → π + π − π + π − [4] easily add up to ≈ 700µb, which is a factor 70000 higher than the signal cross section. Thus in the order of 10 9 -10 10 background events have to be simulated to get a realistic estimate of the background.…”

Section: Introductionmentioning

confidence: 96%

Fast simulations for the PANDA experiment at FAIR

Götzen

2008

J. Phys.: Conf. Ser.

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Abstract. As one of the primary experiments to be located at the new Facility for Antiproton and Ion Research the PANDA experiment aims for high quality hadron spectroscopy from antiproton proton collisions. The versatile and comprehensive projected physics program requires an elaborate detector design. For optimization and tuning of the individual detector components a reliable simulation is mandatory, which allows to investigate different design options as well as estimate acceptance and efficiency of various physics benchmark channels. A realistic simulation based on full transport software often needs a lot of computing time. Therefore, a fast simulation providing effective parametrization of detector acceptance and resolution was implemented.

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