Silicon strip detector data analysis and simulation status

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Silicon strip detector data analysis and simulation: status report Francesco Loparco and Nicola Mazziotta

Silicon strip detector data analysis and simulation: status report Francesco Loparco and Nicola Mazziotta 1

Set-up and geometry Horizontal view – y axis (junction side) Vertical view – z

Set-up and geometry Horizontal view – y axis (junction side) Vertical view – z axis (ohmic side) Beam He pipe Radiator 220 cm Si strip detector (thickness = 300µm) z y x 2

Pedestals and noise Ø All strips with a RMS > 3 ke. V have

Pedestals and noise Ø All strips with a RMS > 3 ke. V have been masked o 5/384 masked strips in the horizontal view § All masked strips are at the edges of the detector o 13/384 masked strips in the vertical view § Some masked strips are in the central region of the detector Ø The RMS are almost uniform in both the horizontal and vertical views Ø Still a few noisy strips in the vertical view (to be masked? ) 3

Event selection � 4

Event selection � 4

Event classification � Class 1 events: One X-ray cluster in both horizontal and vertical

Event classification � Class 1 events: One X-ray cluster in both horizontal and vertical views � Particle and X-ray energy taken from the horizontal view � These events are used to reconstruct the TR angular and energy spectrum � � Further event classes: � Events with the same number of X-ray clusters in both views � The matching could be done looking at energies of X-ray clusters � Events with different numbers of X-ray clusters in the two views � In one view the X-ray could have been absorbed in the same detector region crossed by the particle � Correct matchings might be not straightforward! 5

Detector simulation � Evaluation of the TR spectrum produced at the radiator � Evaluation

Detector simulation � Evaluation of the TR spectrum produced at the radiator � Evaluation of the spectrum of TR X-rays absorbed by the detector � Generation of the Monte Carlo event sample � Simulation of the detector response � Noise � Response to the particle � Response to X-rays � Implementation of the clustering algorithm and of the same event selection as in real data 6

TR spectrum produced at the radiator � 7

TR spectrum produced at the radiator � 7

Spectrum of TR X-rays absorbed by the detector � 8

Spectrum of TR X-rays absorbed by the detector � 8

X-ray absorption lengths in the simulation 9

X-ray absorption lengths in the simulation 9

MC simulation workflow � 10

MC simulation workflow � 10

Detector simulation: noise � To each strip an energy is assigned extracted from a

Detector simulation: noise � To each strip an energy is assigned extracted from a Gaussian PDF with null mean and RMS corresponding to the average RMS evaluated from a pedestal run Strips in the horizontal view: RMS = 1. 39 ke. V � Strips in the vertical view: RMS = 1. 77 ke. V � 11

Detector simulation: response to the particle � The particle energy is extracted from a

Detector simulation: response to the particle � The particle energy is extracted from a Landau distribution peaked at 83. 5 ke. V (same value as in real data) � The particle energy is shared in a cluster of strips centered on the impact point of the particle on the detector The number of strips in the cluster is extracted from the strip multiplicity distribution of particle clusters in real data � A Gaussian profile centered on the particle position is assumed for the energy distribution among the strips in the cluster � 12

Detector simulation: response to X-rays � The energy of an X-ray is shared between

Detector simulation: response to X-rays � The energy of an X-ray is shared between the two strips which are closer to the X-ray position � The energy is shared taking into account the measured distributions A random value of is extracted from the distribution � A fraction of the X-ray energy is assigned to the left strip and a fraction 1 - is assigned to the right strip � 13

Some caveats � The simulation does not include the response of individual strips �

Some caveats � The simulation does not include the response of individual strips � All strips are assumed to have the same noise (RMS of 1. 39 ke. V for horizontal strips, 1. 77 ke. V for vertical ones) � The energy threshold for photon clusters is sharp (5. 6 ke. V in the horizontal view, 7. 1 ke. V in the vertical view) � The simulation does not include the real beam profile � The beam is assumed to have a circular cross section of 0. 5 cm radius 14

Data-MC comparison: mylar radiators � 15

Data-MC comparison: mylar radiators � 15

Mylar radiator 1 set – 20 Ge. V/c electrons 16

Mylar radiator 1 set – 20 Ge. V/c electrons 16

Mylar radiator 1 set – 300 Ge. V/c muons 17

Mylar radiator 1 set – 300 Ge. V/c muons 17

Mylar radiator 1 set – 180 Ge. V/c muons 18

Mylar radiator 1 set – 180 Ge. V/c muons 18

Mylar radiator 1 set – 120 Ge. V/c muons 19

Mylar radiator 1 set – 120 Ge. V/c muons 19

Mylar radiator 3 sets – 20 Ge. V/c electrons 20

Mylar radiator 3 sets – 20 Ge. V/c electrons 20

Mylar radiator 3 sets – 300 Ge. V/c muons 21

Mylar radiator 3 sets – 300 Ge. V/c muons 21

Mylar radiator 3 sets – 180 Ge. V/c muons 22

Mylar radiator 3 sets – 180 Ge. V/c muons 22

Mylar radiator 3 sets – 120 Ge. V/c muons 23

Mylar radiator 3 sets – 120 Ge. V/c muons 23

Data-MC comparison: polyetylene radiators � 24

Data-MC comparison: polyetylene radiators � 24

Polyetylene radiator 1 set – 300 Ge. V/c muons 25

Polyetylene radiator 1 set – 300 Ge. V/c muons 25

Polyetylene radiator 3 sets – 20 Ge. V/c electrons 26

Polyetylene radiator 3 sets – 20 Ge. V/c electrons 26

Polyetylene radiator 3 sets – 300 Ge. V/c muons 27

Polyetylene radiator 3 sets – 300 Ge. V/c muons 27

Polyetylene radiator 3 sets – 180 Ge. V/c muons 28

Polyetylene radiator 3 sets – 180 Ge. V/c muons 28

Polyetylene radiator 3 sets – 120 Ge. V/c muons 29

Polyetylene radiator 3 sets – 120 Ge. V/c muons 29

Data-MC comparison: polypropylene radiator with thin foils � 30

Data-MC comparison: polypropylene radiator with thin foils � 30

Polypropylene thin foils – 20 Ge. V/c electrons 31

Polypropylene thin foils – 20 Ge. V/c electrons 31

Polypropylene thin foils – 300 Ge. V/c muons 32

Polypropylene thin foils – 300 Ge. V/c muons 32

Polypropylene thin foils – 180 Ge. V/c muons 33

Polypropylene thin foils – 180 Ge. V/c muons 33

Polypropylene thin foils – 120 Ge. V/c muons 34

Polypropylene thin foils – 120 Ge. V/c muons 34

Data-MC comparison: polypropylene radiator with thick foils � 35

Data-MC comparison: polypropylene radiator with thick foils � 35

Polypropylene thick foils – 20 Ge. V/c electrons 36

Polypropylene thick foils – 20 Ge. V/c electrons 36

Polypropylene thick foils – 300 Ge. V/c muons 37

Polypropylene thick foils – 300 Ge. V/c muons 37

Polypropylene thick foils – 180 Ge. V/c muons 38

Polypropylene thick foils – 180 Ge. V/c muons 38

Polypropylene thick foils – 120 Ge. V/c muons 39

Polypropylene thick foils – 120 Ge. V/c muons 39

Data-MC comparison: fiber radiator � 40

Data-MC comparison: fiber radiator � 40

Fiber radiator – 20 Ge. V/c electrons 41

Fiber radiator – 20 Ge. V/c electrons 41

Fiber radiator – 180 Ge. V/c muons 42

Fiber radiator – 180 Ge. V/c muons 42

Fiber radiator – 120 Ge. V/c muons 43

Fiber radiator – 120 Ge. V/c muons 43

Summary and ongoing work � We have implemented a MC simulation code including the

Summary and ongoing work � We have implemented a MC simulation code including the TR generation, the photon propagation and the detector response � The simulation reproduces fairly well some experimental configurations � Discrepancies are found with some radiators � Further comparisons between simulation and data are ongoing � Possible improvements: � Simulation of the TR spectra from irregular radiators � Fine tuning of the detector simulation 44