some investigations on shower in aug11 dst

Some investigations on Shower in Aug11 DST

Szymon Harabasz

Version:21 April 2023

PID plot

2

mass

3

Pre – RPC correlations

4

All RPC clusters to all Pre hits in event

Closest RPC clusters matched with all tracks to all Pre hits in event

5

6

Selct only bottom parts of both detectors

Correlation fairly better!

All RPC clusters to all Pre hits in event

Closest RPC clusters matched with all tracks to all Pre hits in event

7

Row-Col for Shower hits best matched with particle candidates

Positive particles Negative particles

8

ϴcand vs. Shower hit rowAug 11

Positive particles Negative particles

9

All particles Negative particles

ϴcand vs. Shower hit rowNov 10

Why previously there was no problem to calculate efficiency in bottom rows?

10

Sum0 vs. momentum

Negative pions Protons

π- Protons11

Sum1 vs. momentum

Protons

Protonsπ-12

Sum2 vs. momentum

Protons

Protonsπ-13

Sum1-Sum0 vs. Momentumsector 1

Protonsπ-

14

Sum2-Sum0 vs. Momentumsector 1

Protonsπ-

15

Mean Sum0 - protons

16

Mean Sum1 - protons

17

Mean Sum2 - protons

18

Mean Sum0 – π-

19

Mean Sum1 – π-

20

Mean Sum2 – π-

21

Shower alignment not perfect?

22

Shower alignment not perfect?

23

Shower alignment not perfect?

24

p vs. θRPC - experiment

25

Simulation of π-

26

π- simulation – without tracking

27

Without tracking I cannot identify pios in experiment

π- with tracking

28 Tracks matched with RPC Tracks matched with Shower

Expe

rimen

tSi

mul

ation

π- simulation – with tracking

29

Expe

rimen

tSi

mul

ation

Tracks matched with (correlated) RPC and Shower

π-

30

Experiment

Simulation with tracking

Simulation without tracking

π- - simulation

31 With tracking Without tracking

Trac

ks m

atch

ed

with

Sho

wer

Trac

ks m

atch

ed w

ith

(cor

rela

ted)

Sho

wer

and

RPC

Digitization

32

EffPre(β)

All particlesNegative particles

33

EffPost I(β)

All particlesNegative particles

34

EffPre(position)

Negative particles All particles

35

EffPost I(position)

Negative particles All particles

36

Pile up estimation

37

• Take all the tracks in the event

• Match HShowerHit to each of them (find the one with the best matching quality

• Count other hits in the distance of two cells from the matched one

• Put row and column to a histogram

• Divide by hits distribution to get probability

Pre Post II

Post I

Looking for leptons

38

First attempt• Read data from all HparticleCands, write it to ntuple, apply

conditions when drawing histograms with Draw method• Meta matching quality < 4• Average charge > 70• Inner segment chi2 > 0• RK chi2 < 1000• Graphical cut:

39

40

41

System 0, p < 150 MeV/c

System 0, p < 150 MeV/c

System 1, 200 < p < 300 MeV/c

System 1, 200 < p < 300 MeV/c

42

Next attempts• Second:

• The same conditions as in the first attempt plus

• kIsUsed flag• Third:

• The same conditions as in the first attempt plus flags:

• kIsAcceptedHitRICHMDC • kIsAcceptedHitInnerMDC • kIsAcceptedHitOuterMDC • kIsAcceptedRKMETA

43

∆θ RICH – Track, System 0

All histograms in one figure scaled to (almost) common maximum value44

∆θ RICH – Track, System 1

45 All histograms in one figure scaled to (almost) common maximum value

Second attempt

Third attempt

46

47

48

Fourth attempt

49

Read data from all HparticleCands, write it to ntuple, apply conditions when drawing histograms with Draw method

Meta matching quality < 4Average charge > 70Inner segment chi2 > 0RK chi2 < 1000β > 0.9

50

Fourth attempt

51

Fourth attempt – positive particles

52

Fourth attempt – negative particles

53

Fourth attemptScaled to common max value(on both plots separately)

54

Fourth attemptScaled to common max value(on both plots separately)

55

Fourth attempt

Shower response on leptons

56

57

58

59

60

Shower response on leptons - algorithm

61

Fit: quadratic + gaussian

Quadratic part - background

These counts are taken - signal

These counts are omitted - background

Here we say, there is zero signal counts

62

Criterion: center of gaussian distribution is > 2 (or < -2)

Repairing such bins:Linear interpolation

between closest good bins on the left and right

In some sumdiff bins this does not work

Full fit

Gaussian part

Shower response on leptons

63

64

Shower response on leptons

65

Shower response on leptons

66

Shower response on leptons

Backup slides

67

Sideband method in sumdiff bins

68

Sum0, Sum2 > 0

69

Post I efficiency

70

Sum0, Sum1, Sum2 > 0

71

Sum0, Sum1 > 0 and RPC cluster exists

72

Sum1 > 0 and RPC cluster exists

73

Pre efficiency

Sum0 is always > 0

74

Shower Hit Row-Col – cands matched with Pre and correlated with Post I

All particles Negative particles

75

Theta for all and negative particle candidates

All particles Negative particles

Here all tracks matched with Shower are considered

76

Phi for all and negative particle cands

Here tracks matched with Shower and RPC at the same time are considered

77

Sum0 & Sum1 vs. beta

Protons

Protonsπ-78

Shower alignment not perfect?

Pre to Track matching qualityas a function of a position onthe detector

79

Sideband method

80

Sideband method

81

Sideband method

82

Sideband method

83

Sideband method

84

Everything After sideband background subtraction

Sideband method

85

Everything After sideband background subtraction

Sideband method

86

Everything After sideband background subtraction

Sideband method

87

Everything After sideband background subtraction

Oops…

Sideband method

88

Everything After sideband background subtraction

Sideband method

89

Everything After sideband background subtraction

Sideband method

90

Everything After sideband background subtraction

Something is wrong in some sumdiff bins.Let’s check it.

Sideband method in sumdiff bins

91

Sideband method in sumdiff bins

92

Sideband method in sumdiff bins

93

Sideband method in sumdiff bins

94

Shower response on leptons?

95