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Modified parallelogramm method Annika Lohstroh 17 BB 03 [email protected]

Modified parallelogramm method Annika Lohstroh 17 BB 03 [email protected]

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Page 1: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

Modified parallelogramm method

Annika Lohstroh

17 BB 03

[email protected]

Page 2: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

Outline

Parallelogram method - revision

• Drawing the best fit line

• Drawing the parallelogram

• Modified parallelogram method

• What if the data is “too good” ?

• The modified parallelogram method

• Calculating and using the “final” results

Page 3: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

Drawing the best fit line

Fig 1: Current vs Voltage

Voltage [V]

-2 0 2 4 6 8 10 12 14 16 18 20 22

Cu

rren

t [m

A]

64.8

65.0

65.2

65.4

65.6

65.8

66.0

66.2

Page 4: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

Fig 1: Current vs Voltage

Voltage [V]

-2 0 2 4 6 8 10 12 14 16 18 20 22

Cu

rren

t [m

A]

64.8

65.0

65.2

65.4

65.6

65.8

66.0

66.2

Drawing the parallelogram

The best fit line is in the centre of the two parallel lines above and below it

2/3 of the data points should lie within the parallelogramm

Page 5: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

Fig 1: Current vs Voltage

Voltage [V]

-2 0 2 4 6 8 10 12 14 16 18 20 22

Cu

rren

t [m

A]

64.8

65.0

65.2

65.4

65.6

65.8

66.0

66.2

Determining the diagonals

Draw the diagonals in the parallelogram and determine their gradients

Page 6: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

What if your data is not “bad enough” ?

Fig 1: Current vs Voltage

Voltage [V]

0 2 4 6 8 10 12 14 16 18 20

Cu

rren

t [m

A]

-1

0

1

2

3

4

5

6

7

8

V

mA 0.345

V20

mA 6.9bestm

mA 0bestc

bestbestbest cVmI

Fig. 2: Current vs Voltage

Page 7: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

What if your data is not “bad enough” ?

bestbestbest cVmI

Fig 1: Current vs Voltage

Voltage [V]

14.5 15.0 15.5 16.0 16.5

I [m

A]

5.0

5.2

5.4

5.6

Look at the difference between

fit line and measured data

Fig. 3: Current vs Voltage, detail of the data shown in Fig. 2

Page 8: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

Modified parallelogram method

V [V] Imeas[mA] Imeas-Ibest

0 0.010 0.0101 0.343 -0.00172 0.697 0.00673 1.020 -0.01504 1.373 -0.00675 1.697 -0.02836 2.050 -0.02007 2.413 ...8 2.747 …9 3.100 …. . …. . …. . …

)( bestbestmeasbestmeas cVmIII

Page 9: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

Modified parallelogram method

Fig 1: Current vs Voltage

Voltage [V]

0 2 4 6 8 10 12 14 16 18 20

I mea

s -

I fit [

mA

]

-0.06

-0.04

-0.02

0.00

0.02

0.04Fig. 4: Modified Current vs Voltage

Page 10: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

Modified parallelogram method

Fig 1: Current vs Voltage

Voltage [V]

0 2 4 6 8 10 12 14 16 18 20

I mea

s -

I fit [

mA

]

-0.06

-0.04

-0.02

0.00

0.02

0.04Fig 1: Current vs Voltage

Voltage [V]

0 2 4 6 8 10 12 14 16 18 20

I mea

s -

I fit [

mA

]

-0.06

-0.04

-0.02

0.00

0.02

0.04Fig. 4: Modified Current vs Voltage

V

mA 0.001|

bestm

V

mA 0.0004|

maxm

V-0.001|bestc

V-0.011|minc

V-0.010|maxc

V

mA 0.0025|

minm

Page 11: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

Using those results…

Using the modified fit result to correct the initial best fit line:

mS 0.000121

mS) 0.0025 mS 0.0004-

n

(|min

|max mm

m

Calculating the uncertainties, where n is the #data points:

mA 0.00121

mA) (-0.011-mA 0.010

n

minmax ccc

mS 0.0001)0.3440 (m

mA 0.001)-0.001(c

mA -0.001mA 0.001 mA 0 |bestbestfit ccc

Make sure these values haven’t

been rounded in a way that

compromises the accuracy

mS 0.344mS 0.001 mS 0.345 |bestbestfit mmm

Page 12: Modified parallelogramm method Annika Lohstroh 17 BB 03 A.Lohstroh@surrey.ac.uk

Questions ?