1. Theta+ Analysis Updates [K-p mode]
Theta+ & L* differential cross section
- Rough estimations have been shown.
(Theta+:~15 nb & L*: ~1 ub in total cross section)
- L* isospin asymmetry is indicated.
BG shape estimations needed for precise cross sections
MC-based estimation: better for smaller samples & L*
- KKp + KL* w/o phi & higher MKp tail has been shown at EINN.
- off-shell correction was updated for new ntuple production.
Remaining part of BG estimation will be shown. (not completed)

2. Off-shell correction Solid line : new correction [EN = MN – BE/2]
Dashed line: original correction [EN = MN – BE – PS2/2MS]
KKp MMd(g,K-p)
KL* MMd(g,K-p)
Differences are small but slightly sharper w/ new correction.

3. Inclusion of phi w/ LH2 data
phi MC w/ realistic t-dependence and spin density matrix
Energy & polar angle filters were obtained from LH2
Normalization in < MKK < GeV & cosKp < 0
Ecms dependence
Kp dependence

4. Consistency with LH2 data
GeV : chi2 = , prob = 0.142
GeV : chi2 = , prob = 0.166
GeV : chi2 = , prob = 0.746
GeV : chi2 = , prob = 0.066

5. Application to LD2 data w/ phi
Threshold improved by true MMd(g,K-p) at MC level > MK+ + Mn
phi normalization improved in higher energies w/ cosKp < 0.
Ecms<2.10
2.10<Ecms<2.18
2.18<Ecms<2.26
2.26<Ecms

6. Inclusion of MK-p tail w/ LD2 data
No way to deduce from LH2 data
 ECMS, CMS(K-p), CMS(p), PCMS(p), PCMS(K-) dependences
from LD2 data – KKp MC – KL* MC w/ MKK > GeV
These dependences were applied to non-resonant KKp MC with Fermi
motion. [Note: It does not look that acceptance corrected MKK and
MK-p distributions indicate KK or K-p resonances.]

7. Application to LD2 data w/ MKp tail
Filters were made by
using MKp>1.54 GeV

8. Consistencies in side bands
M(K-p) < 1.50 GeV
M(K-p) > 1.54 GeV

9. Inclusion of phi and MKp tail
Ecms dependence of M(K-p)
Ecms dependence of M(KK)
Generally consistencies are good.

10. Over-estimation of MKp tail
Solid line: (1.45<MKp< <MKp<1.59)x0.4
Dashed line: KKp MC + MKp tail MC
Note: phi and L* is not included.
MMd(g,K-p) shape looks good but over-estimated.