Vertexing and Kinematic
Fitting, Part IV:
Building Virtual Particles
Lectures Given at SLAC
Aug. 5 – 7, 1998
Paul Avery
University of Florida
avery@phys.ufl.edu
http://www.phys.ufl.edu/~avery
Paul Avery
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Virtual Particles
Overview of plan
x 4th of several lectures on kinematic fitting
x Focus in this lecture on building virtual
particles
x Plan of lectures
x
x
x
x
Lecture 1: Basic theory
Lecture 2: Introduction to the KWFIT fitting package
Lecture 3: Vertex fitting
Lecture 4: Building virtual particles
x References
x KWFIT
http://www.phys.ufl.edu/~avery/kwfit/ or
http://w4.lns.cornell.edu/~avery/kwfit/
x Several write-ups on fitting theory and constraints
http://www.phys.ufl.edu/~avery/fitting.html
Paul Avery
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Virtual Particles
What is a Virtual Particle?
Basic idea
We want to take a set of particles and build a new particle using a
vertex constraint. The 4-momentum of the new “virtual particle” is
the sum of the 4-momenta of the tracks (at the vertex location) and
the position is the fitted vertex. The 7 u 7 covariance matrix is also
desired.
What’s so great about that?
Once the virtual particle and its covariance matrix is built, it behaves
like any other track. You can throw away the tracks that made it up
and use it in later fits.
For example, you can apply a mass constraint to the new track to
further improve the track parameters.
Software for this exists in KWFIT
kvir_add_nofit
kvir_vertex_unknown
kvir_vertex_known
kvir_vertex_fixed
Paul Avery
No vertex fit. Just add 4-momenta
Vertex location unknown
Prior vertex and error already exists
Vertex location fixed
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Virtual Particles
Example
Fit the decay sequence shown below (measured particles shown in
boldface) by combining particles starting at the bottom and building
up the chain:
B 0 o D* U D* o D0 S U o SS
D0 o . S There are 5 measured particles in this example. Build 4 virtual
particles in order:
0
1. D o K S
2. U o S S 0
3. D* o D0S 4. B 0 o D*S Paul Avery
(apply mass constraint)
(apply mass constraint)
(optional)
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Virtual Particles
Theory
The 7 parameters are the 4-momentum and the 3-position. Let x be
the fitted vertex. The virtual particle track parameters are
pV x
pi x az i yi x y ay i zi xz
¦
pi y ax i
¦
pi z ay i
i
pV y
i
pV z
i
EV
3 8 0 5
0z x 5 a 0 x x 5
0x x 5 a 3y x 8
¦
i
z
zi
i
x
i
x
xi
i
y
¦ Ei
i
xV
x
where, e.g., ax i 0.299792458 Bx Qi , Qi is the charge on the particle
and Bx is the x component of the B field.
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Virtual Particles
This can be written in matrix form:
pV AD Bx
xV
where
¦i AiD i Bx
x
D D D D 0
¦ a
A 5
B
¦ a
0
1
2
n
A
0A
1
A2 and
Ai
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1
0
0
0
zi
n
0
1
0
0
¦ az i
0
0
1
0
0
0
0 az i
0 ayi
1
0
6
yi
az i
0
ax i
0
0
¦ ax i
0
ayi
ax i
0
0
¦ ay i ¦ ax i 0
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Virtual Particles
This part is easy since the track parameters are determined from the
vertex constraint. The harder part is getting the covariance matrix
right. It can be written generally as
V
cov1x
pV
VD V
Vp V
1
cov pV , x V
6
VxV
V , pV
6
1
cov pV , x V
VxV
6
AVD A T A covD , x BT B cov x, D A T BVx BT
A covD , x BVx
Vx
From CBX 98–38, we find the covariance matrix for the virtual
particle
VD V
where
i
i
8
T
T
T
A
S
V
S
TV
T
0i i
1i Di 1i
x
Vx TT
S1i
Ai V0 i DiT
S3 i
Ai V0 i DiT VDi Ei
T
Paul Avery
¦ 3A V
TVx
Vx
B ¦i S3i .
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Virtual Particles
Further issues
Should we incorporate mass constraint directly
in the particle building?
NO!
1. The code to do so is much more complicated.
2. The 2 step procedure gives 2 F 2 values. This provides more
discrimination against background.
3. 2 step process is mathematically identical to 1 step process
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Virtual Particles
Flexibility issues
I have implemented a more useful version of the procedure above in
KWFIT. Three kinds of tracks can be used:
1. Those that are used to determine the vertex
Normal tracks
2. Those that are not used to determine the vertex, but are
required to pass through it
Soft pions from D*+
3. Those that only contribute 4-momentum (no vertex info)
Photons, pi0s
This procedure is mathematically rigorous, as proven in CBX 98–38
Paul Avery
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Virtual Particles