Mice tpg reconstruction
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MICE TPG Reconstruction. Cluster finding Space point reconstruction Track recognition Track fit GENEVA UNIVERSITY 31 March 2004 Voloshyn Olena. status end of march:. I Cluster finding written, to be tested, (promised end of march)

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MICE TPG Reconstruction

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Mice tpg reconstruction

MICE TPG Reconstruction

  • Cluster finding

  • Space point reconstruction

  • Track recognition

  • Track fit

  • GENEVA UNIVERSITY

  • 31 March 2004 Voloshyn Olena

Geneva University


Mice tpg reconstruction

status end of march:

I Cluster finding written, to be tested, (promised end of march)

II Space point reconstruction : almost finished, missing implemetation of errors on space points

III Track recognition

(exists in HARP code, and in G4MICE for SciFi)

IV Track fit

(exists in HARP code and in G4MICE for SciFi)

all promised for end of May.

Geneva University


Space point definition

Space Point definition

  • Crossing of the clusters close in time gives the space point position in plane x-y.

  • z coordinate of space point is defined

  • z=vdr*tdr

  • U X V

Geneva University


Track recognition

Track recognition

  • Pattern recognition algoritm groups the space point recognized as belonding to the same track and searches the following point in the volume of a truncated cone with the axis defined by the previous points.

  • The parameters of the cone will be optimised for 200 MeV track.

.

.

.

.

.

a

Radius

Forward acceptance

Geneva University


Track fit

Track fit

  • Fit is performed in two steps:

  • circular fit in the x-y plane that alows to determine the inverse of the radius of curvature r, the impact parameter in the x-y plane d0 and the angle between the projection on this plane of the particle momentum at the impact point and the X axis Fo;

  • Linear fit in the Sxy-Z plane that alows to determine the tangent of the dip angle and the Zo coordinate at the impact point.

y

z

tg a

p

Oo

x

Zo

Sxy

do

Geneva University


Mice tpg reconstruction

  • (at a later stage) the calculated helix parameters will be used as a seed for a futher Kalman fit which handles multiple scattering and energy loss.

  • The energy loss (which is derived from amplitude) and momentum (as derived from curvature and phase advance) will be estimated.

Geneva University


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