1 / 10

Particle Identification in CBM

This study delves into CBM geometry, hadron identification using TOF performance, Silicon Tracker matching, and more at 25 AGeV. It covers electron and hadron identification, vertex determination, phase-space distribution, and high-rate capability. The text emphasizes the necessity for good time resolution, TOF walls, efficient particle separation, and detector efficiency. Utilizing various detection technologies like RICH, TRD, and TOF, the research aims to achieve accurate particle identification and measurement in high-energy experiments.

margot
Télécharger la présentation

Particle Identification in CBM

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Particle Identification in CBM • Geometry and acceptance at 25 AGeV • Hadron identification - TOF performance - Matching to the Silicon Tracker • Summary K. Wisniewski, FOPI Coll., Uniwersytet Warszawski, Universität Heidelberg

  2. (New) CBM Geometry Electrons - RICH, TRD Hadrons - Time of Flight (RPC) • Silicon tracker • - p determination • sec. vertex Geometrical acceptance : lab 5 – 30o

  3. Phase-space Distribution at 25 AGeV • Hadron identification up to 5 GeV/c • K/ separation up to 5 GeV/c •  large distance from the target •  large scale (high cost) • High-rate capability (up to 20 kHz/cm2) • Good time resolution

  4. Hadron Identification by TOF • TOF wall located 15 m from target • K,yields from UrQMD, Au+Au,25AGeV • S/B depends on TOF resolution • Required S/B for K: 10 • K/ separation with 80ps device: up to 4 GeV/c

  5. D0 Efficiency • Good mid-rapidity coverage • D0 detectability as low as 10%(pmax=4 GeV/c) • Factor 3 better with pmax=6 GeV/c As good as poss. time resolution needed

  6. ALICE Pad-Anode FOPI Strip-Anode Timing Multi-gap Resistive Plate Chambers • Very good time resolution • Negligible tails • High efficiency • High granurality • Low cost • High-rate capability is a • problem (2 kHz/cm2) •  A4 glass •  geometry optimisation • Ageing needs to be tested

  7. Matching to the Silicon Tracker • Matching distorted due to mult. scattering • Accuracy of the extrapolation depends on distance • Extrapolation over 5 m. of RICH • Perfect position resolution assumed

  8. Efficiency and Misidentification • Hit-search radius 2x,y (86% efficiency): 20.18cm (1 GeV/c) 20.09cm (2 GeV/c) • Biggest confusion close to the target (Silicon) and at small angles (5o) • Double hit probability at 5o: 15% (1 GeV/c) 4% (2 GeV/c) • Misidentification probability (15%)/2 (with no background particles)

  9. Summary • PID needs a good tracking system(avoid large gaps) • optimisation of RICH (splitted into two parts) • tracking on the way to TOF (additional TRD stations) • TOF-based PID limited to 4-6 GeV/c (for K/ separation) • Good coverage of the D0 phase-space distribution (mid-rapidity) • D0efficiency 10-30% (depending on pmax) go for as good as possible TOF resolution  use other technique for the K/separation at high p (RICH?)

  10. Monolithic Activ Pixel Sensors (MAPS) • Excelent hit resolution (3 m) • Small thickness (20 m) • Not radiation-hard • Slow readout

More Related