Realistic Simulation for Fragment Analysis in Particle Physics

Experience a detailed exploration of fragment analysis through a realistic simulation carried out with constrained fits. Dive into the study and determination of total kinetic energy, momentum, and beta values using cutting-edge methodologies. Uncover insights into reconstructed quantities, detector effects, kinetic energy peaks, and more, as you delve deeper into the world of particle physics.

• Particle Physics
• Fragment Analysis
• Realistic Simulation
• Kinetic Energy Analysis

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1. A determination : more realistic simulation A determination with the constrained fit performed by Vincenzo Z 1 2 3 4 5 6 7 8 8 Fragments studied A 1 4 7 9 11 12 14 16 A determined by: TOF - TRACKER TOF CALO TRACKER - CALO Realistic simulation for beta (TOF) Total kinetic Energy (CALO) momentum (TRACKER) Fit the Total Kinetic Energy, the tof and the momentum with the 3 constraints on the mass (Augmented Lagrangian Method) Franchini - Spighi 1

2. Reconstructed quantities For each fragment TRUTH generate Ekin_nucl with Gaussian ( =200 MeV, =10 MeV) generate theta and phi evaluate all the other quantities RECO Ekin_reco = Gaussian ( = Ekin_truth, =3%) Theta_reco = Gaussian ( = Theta_truth, =0.004) Phi_reco = Gaussian ( = Phi_truth, P_reco = Gaussian ( = P_truth, Tof_reco = Gaussian ( = Tof_truth, =100 ps) ADDITION Ekin and Tof multiplied by a random number generated by the ratio Ekin E_depo/Ekin_truth E_depo = energy deposit in SCINT + CALO Tof Beta_tof/beta_gen Beta_tof = track_length/((time_SCINT time_SC)*c) Vincenzo =0.004) =3%) 2

3. Total Kinetic Energy, Beta, Momentum take care of the detector effect in the Giuseppe simulation Input: /gpfs_data/local/foot/Simulation/16O_C2H4_mag_highThres.root Selected tracks that pass all the subdetectors KINETIC ENERGY ????_???? ?????(????? + ????) ????_???? ?????(????? + ????) ????_???? how much the peak is far from 0 how many events underestimate kinetic energy Primary + 1 secondary inside 3 cm from the primary (not sure on the correctness) TOF ????????? ? ? (???????? ???????)/Betatruth 3 MOMENTUM still not implemented

4. E_kin_nucl Events in the peak (%) Peak expected at zero Proton: peak at ~ 5-10% He Li: peak at 1-2 % Be O: peak = 1% The secondary do not improve (probably an error in my code) 4

5. Edepo/E_kin_truth 50% 41% 33% Events outside peak 25% 24% 16% To consider in the simulation 14% 15% 5

6. Beta_tof/Beta_truth 6

7. Fit outputs: A fragment 5 Tof-tracker Tof-Calo actual = 0.53 = 0.57 = 0.54 previous = 0.60 Tracker-Calo Output fit = 11.61 = 0.46 Evts/peak = 85.2% = 1.18 = 11.98 = 0.47 Evts/peak = 100% = 1.13 7

8. Fit outputs: Chi2 fragment 5 actual previous 8

9. Fit outputs: A fragment 7 Tof-tracker Tof-Calo = 0.70 = 0.72 = 0.72 = 0.79 Tracker-Calo Output fit = 15.36 = 0.59 Evts/peak = 83.2% = 1.57 = 1.51 = 15.97 = 0.62 Evts/peak = 100% 9

10. Fit outputs: Chi2 fragment 7 actual previous 10

11. Conclusion Keeping into account loose of kinetic energy + resolution at 3% tof mis-measurements + resolution of 100 ps momentum resolution at 4% Loose 15-20% of events Underestimate A Future Keep into account momentum mis-measurements Include de/dx Test a normal chi2 fit 11

12. Backup 12

13. Fit outputs: A fragment 5 Tof-tracker Tof-Calo = 0.54 = 0.60 Tracker-Calo Output fit = 0.47 = 1.13 13 The fit improve the precision

14. Fit outputs: A fragment 7 Tof-tracker Tof-Calo = 0.72 = 0.79 Tracker-Calo Output fit = 0.62 = 1.51 14 The fit improve the precision