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(1)

hitToTrueXP Module

Valerio Bertacchi

Università di Pisa

(2)

Long-term purpose

Continue the work of Giulia:

- define a criterion and select tracks on «goodness» of reconstrcution - Improve the definition of efficiency to take care of tracks hard to find

Short-term purpose

- Bulid an object (TTree) that contains all useful hits/tracks information to allow analysis

[DONE]

- Analyize hits/tracks distributions

[TO DO]

(3)

HitToTrueXP module

The Module is splitted in 2 sub-modules: generation and analysis

hitToTrueXP_generation:

- generate, simulate and reconstruct events

- Current configuration generate 1000 events of Y(4s)

hitToTrueXP_analysis:

- Takes from generation MC-Truth information (MCParticles, MCTrueHits) - Builds a class (hitToTrueXP class) that organize useful informations

- Loops over MCParticles (not on TrueHits!) to fill the Tree

(4)

HitToTrueXP class

- Each element of the class represent a MCParticle

- Each element has vector-members filled with SVDTrueHits information

The members are:

- position in local and global coordinates

- Momentum in local and global coordinates - PDG ID

- Position and Momentum at vertex - Time

- Track Parameters

(5)

Track Parameters

[Eugenio, Oliver, Tobi,

helices:the nitty-gritty of their Parametrization, B2GM 2015 ]

(6)

Validation of the module

good behaviour

(7)

Example of track parameter analysis (1)

Analysis of d0 (distance POCA-Zaxis):

- Expected constant in hits of the same track

- Smearing for material effect (momentum dependent)

(8)

Example of track parameter analysis (2)

Larger width Low statistic (under 100 MeV/c)

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Next steps

- Make complete analysis on tracks parameters on all the events (respect to momentum)

- Start to analyze the behaviour of track parameters in single track hits - Search for strong variation (of parameters, of momentum…) along the

track to tag bad tracks

Riferimenti

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