Mattione Study b1pi
From GlueXWiki
- Generated 100000 X(2000) -> b1pi events following the instructions here.
- Decay chain:
gamma p -> p X(2000)0 | |-> b1(1235)+ pi- | |-> omega pi+ | |-> rho0 pi0 | |-> gamma gamma | |-> pi+ pi-
Contents
Event Count
# Generated events = 100000 # Events with 2+ photons = 57866 # Events with 2+ pi+ = 29372 # Events with 2+ pi- = 30634 # Events with enough tracks for the X (2+ photons, 2+ pi+'s, 2+ pi-'s) = 4760 # Events with at least one pi0 candidate: 57866 # Events with at least one rho0 candidate: 58466 # Events with at least one omega candidate: 31012 # Events with at least one bi+ candidate: 12163 # Events with at least one X(2000)0 candidate: 4760
Invariant Masses
- Pi0: Filled for all events with > 1 photon, filled for all possible photon combinations (so if three photons in an event, will fill 3 times).
- Rho0: Filled for all events with at least one pi+ and at least one pi-, filled for all possible pion combinations (so if two pi+'s and two pi-'s in an event, will fill 4 times).
- Omega: Filled for all events with at least: one pi+, one pi-, and two photons. Filled for all possible rho combinations, but for events with multiple pi0 candidates the pi0 with the closest mass is chosen (got lazy).
- B1+: Filled for all events with at least: two pi+, one pi-, and two photons. Filled for all possible combinations of these tracks (regardless of which pi+ formed the Rho0).
- X(2000)0: Filled for all events with at least: two pi+, two pi-, and two photons. Filled for all possible combinations of these tracks (regardless of which pi+ & pi- formed the Rho0).
Comparison of Generated and Reconstructed Tracks
Photons
- 100000 generated events, 2 photons per event: 200000 generated photons
- In thrown tree, the generated photons are matched with 174148 reconstructed photons.
- Would expect 100000 - (200000 - 174148) = 74148 pi0 events,
- However, only 170870 reconstructed photons in the "recon" tree!
- For each of the generated photons that were matched with reconstructed photons, the generated p vs theta distribution:
- For each of the generated photons that were matched with reconstructed photons, the reconstructed p vs theta distribution:
- For each of the generated photons that were NOT matched with reconstructed photons, the generated p vs theta distribution: