integrator/differentiator - physicsphysicsweb.phy.uic.edu/481/statistics-iv.pdf · ·...
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![Page 1: Integrator/Differentiator - Physicsphysicsweb.phy.uic.edu/481/Statistics-IV.pdf · · 2016-11-07Integrator/Differentiator October 10, 2016 Operational Amplifiers, Zhenyu Ye 1 Integrator](https://reader034.vdocuments.net/reader034/viewer/2022051602/5af6ce2e7f8b9a5b1e8f9242/html5/thumbnails/1.jpg)
Integrator/Differentiator
October 10, 2016 Operational Amplifiers, Zhenyu Ye 1
Integrator Differentiator
Vout = 1/(RC) * int Vin dt Vout =(RC) * dVin/dt
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Integrator/Differentiator
31-Oct-16 Statistics-III, Zhenyu Ye 2
𝐺"#$ =𝑉'($𝑉"#
= −
1𝑗𝜔𝐶𝑅 =
𝑗𝜔𝐶𝑅
𝐺"#$ =𝑉'($𝑉"#
= −𝑅1𝑗𝜔𝐶
= −𝑗𝜔𝐶𝑅
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Statistics - IV
Zhenyu Ye
31-Oct-16 Statistics-III, Zhenyu Ye 3
R.J.Barlow Statistics: a guide to the use of statisticalmethods in the physical sciences Chapter 5-8
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ML vs LS Methodsn ML find the parameter values that maximize
likelihood function, while LS find the parametervalues that minimize 𝜒0 = ∑ 2345(73;9)
;3
0<"=>
n In a linear model, if the errors belong to a normaldistribution the Least Squares estimators are alsothe Maximum Likelihood estimators
n Uncertainty of the LS estimators can be numericallydetermined by finding parameter values which give𝜒0 = 𝜒?"#0 + 1 (equivalent to −𝑙𝑛𝐿?"# + 0.5)
31-Oct-16 Statistics-III, Zhenyu Ye 4
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Chi-squared Distributionn The chi-squared distribution (also chi-square or
χ²-distribution) with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variable.
31-Oct-16 Statistics-III, Zhenyu Ye 5
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Chi-squared Distributionn The chi-squared distribution (also chi-square or
χ²-distribution) with k degrees of freedom is the distribution of a sum of the squares of k independent standard normal random variable.
31-Oct-16 Statistics-III, Zhenyu Ye 6
Mean = kVariance = 2k
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Goodness of Fitn The p-value is the probability of observing a test
statistic at least as extreme in a chi-squared distribution.
31-Oct-16 Statistics-III, Zhenyu Ye 7
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Goodness of Fit
31-Oct-16 Statistics-III, Zhenyu Ye 8
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Goodness of Fit
31-Oct-16 Statistics-III, Zhenyu Ye 9
P-value ~ 0.35
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 10
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 11
P(Chi2=53.81;NDF=7)=2.34x10-9
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Advanced Labs – Milikan Oil Drop
Zhenyu Ye
31-Oct-16 Statistics-III, Zhenyu Ye 12
R.J.Barlow Statistics: a guide to the use of statisticalmethods in the physical sciences Chapter 5-8
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 13
𝐹H
0
yE
q: charge of the oil dropletE: electrical field strengthV: voltage applied to two parallel platesd: distance between the plates
𝐹H = 𝑞 J 𝐸 = 𝑞 J𝑉𝑑
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 14
𝐹H
𝐹M
0
yE
m: mass of the oil dropletg: gravity acceleration𝜌: density of the oil dropleta: radius of the oil droplet
𝐹H = 𝑞 J 𝐸 = 𝑞 J𝑉𝑑
𝐹M = −𝑚 J 𝑔 = −43𝜋𝜌𝑎
U J 𝑔
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 15
𝐹H = 𝑞 J 𝐸 = 𝑞 J𝑉𝑑𝐹H
𝐹M 𝐹M = −𝑚 J 𝑔 = −43𝜋𝜌𝑎
U J 𝑔
𝐹5 𝐹5 = −𝑘 J 𝜐 = −6𝜋𝜂𝑎 J 𝜐
0
yE
𝜐
k: friction coefficient between oil and air𝜐: speed of the oil droplet𝜂: viscosity of the aira: radius of the oil droplet
Stoke’s Law
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 16
𝐹H = 𝑞 J 𝐸 = 𝑞 J𝑉𝑑𝐹H
𝐹M 𝐹M = −𝑚 J 𝑔 = −43𝜋𝜌𝑎
U J 𝑔
𝐹5 𝐹5 = −𝑘 J 𝜐 = −6𝜋𝜂Z55𝑎 J 𝜐
0
yE
𝜐
𝜂Z55 = 𝜂 >>[ \
]^
when 𝜐 < 0.1 cm/s
b: constantp: air pressure
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 17
0 = 𝐹H + 𝐹M + 𝐹5
𝐹H
𝐹M
𝐹5
0
yE
𝜐
When the oil droplet reaches the terminal velocity, i.e. a=0
−43 𝜋𝜌𝑎
U J 𝑔 − 6𝜋𝑎 J𝜂
1 + 𝑏𝑝𝑎
J 𝜐b = 0
With E=0:
⇒ 𝑎 = (𝑏2𝑝)
0−9𝜂𝜐b2𝑔𝜌 −
𝑏2𝑝
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 18
𝐹H
𝐹M
𝐹5
0
yE
𝜐
𝑞 J 𝐸 −43𝜋𝜌𝑎
U𝑔 − 6𝜋𝜂
1 + 𝑏𝑝𝑎𝜐 = 0
d: distance between plates, measurable by caliper
𝜌: density of oil, 886 kg/m3
g: gravity acceleration, 9.8 m/s2
b: 8.22x10-3 Pa*mp: atmosphere pressure, 1.013x105 Pa
With E≠0:
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 19
𝐹H
𝐹M
𝐹5
0
yE
𝜐 ⇒ 𝑞 = −4𝜋𝑔𝜌 J 𝑠3𝜐b
(𝑏2𝑝)
0−9𝜂𝜐b2𝑔𝜌 −
𝑏2𝑝
U
𝑞 J 𝐸 −43𝜋𝜌𝑎
U𝑔 − 6𝜋𝜂
1 + 𝑏𝑝𝑎𝜐 = 0
With E≠0:
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 20
𝐹H
𝐹M
𝐹5
0
yE
𝜐 ⇒ 𝑞 = −4𝜋𝑔𝜌 J 𝑠3𝜐b
(𝑏2𝑝)
0−9𝜂𝜐b2𝑔𝜌 −
𝑏2𝑝
U
𝑞 J 𝐸 −43𝜋𝜌𝑎
U𝑔 − 6𝜋𝜂
1 + 𝑏𝑝𝑎𝜐 = 0
With E≠0:
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 21
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Milikan’s Oil Drop Experiment
31-Oct-16 Statistics-III, Zhenyu Ye 22
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Calipers
September 12, 2016 Linear Circuits, Zhenyu Ye 23
1. Outside large jaws: used to measure external diameter or width of an object2. Inside small jaws: used to measure internal diameter of an object3. Depth probe: used to measure depths of an object or a hole4. Main scale: scale marked every mm5. Main scale: scale marked in inches and fractions6. Vernier scale gives interpolated measurements to 0.1 mm or better7. Vernier scale gives interpolated measurements in fractions of an inch8. Retainer: used to block movable part to allow the easy transferring of a measurement
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Calipers
September 12, 2016 Linear Circuits, Zhenyu Ye 24
1. Outside large jaws: used to measure external diameter or width of an object2. Inside small jaws: used to measure internal diameter of an object3. Depth probe: used to measure depths of an object or a hole4. Main scale: scale marked every mm5. Main scale: scale marked in inches and fractions6. Vernier scale gives interpolated measurements to 0.1 mm or better7. Vernier scale gives interpolated measurements in fractions of an inch8. Retainer: used to block movable part to allow the easy transferring of a measurement
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Oil Droplet Charge
31-Oct-16 Statistics-III, Zhenyu Ye 25
𝑞 = −4𝜋𝑔𝜌 J 𝑠3𝜐b
(𝑏2𝑝)
0−9𝜂𝜐b2𝑔𝜌 −
𝑏2𝑝
U
= −8.74×104>k C
=5.5 qe
qe=-1.6021766208(98)×10-19 C
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Error Estimationn It is not the difference to the expected
value.
31-Oct-16 Statistics-III, Zhenyu Ye 26
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Error Estimation
31-Oct-16 Statistics-III, Zhenyu Ye 27
𝑞 = −4𝜋𝑔𝜌 J 𝑠3𝜐b
(𝑏2𝑝)
0−9𝜂𝜐b2𝑔𝜌 −
𝑏2𝑝
U
1.65e-15 1.85e-13
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Error Estimation
31-Oct-16 Statistics-III, Zhenyu Ye 28
≈ −4𝜋𝑔𝜌 J 𝑠3𝜐b
−9𝜂𝜐b2𝑔𝜌
U/0
𝑞 = −4𝜋𝑔𝜌 J 𝑠3𝜐b
(𝑏2𝑝)
0−9𝜂𝜐b2𝑔𝜌 −
𝑏2𝑝
U
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Error Estimation
31-Oct-16 Statistics-III, Zhenyu Ye 29
≈ −4𝜋𝑔𝜌 J 𝑠3𝜐b
−9𝜂𝜐b2𝑔𝜌
U/0
𝑞 = −4𝜋𝑔𝜌 J 𝑠3𝜐b
(𝑏2𝑝)
0−9𝜂𝜐b2𝑔𝜌 −
𝑏2𝑝
U
=−noMpU − kq
0Mp
U/0J 𝑠 𝜐b
= −(8.74 ± 0.33)×104>k C
=(5.5±0.2) qe qe=-1.6021766208(98)×10-19 C
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Advanced Labs - Zeeman Effects
Zhenyu Ye
31-Oct-16 Statistics-III, Zhenyu Ye 30
R.J.Barlow Statistics: a guide to the use of statisticalmethods in the physical sciences Chapter 5-8
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Modeling of Hydrogen Atoms
October 3, 2016 Advanced Lab II, Zhenyu Ye 31
n Schrodinger equation in 1926
i! ∂∂tΨ!r, t( ) = −!2
2m∇2 +V !r, t( )
⎡
⎣⎢
⎤
⎦⎥⋅Ψ
!r, t( )
Ψ!r( ) = 1
r⋅ χ l r( ) ⋅Ylm θ,φ( )
En = −e2
!c⎛
⎝⎜
⎞
⎠⎟
2mec
2
2n2
m = 0,±1,!,±l
L = l(l +1)! Lz =m!
l = 0,1,!,n−1n =1,2,!
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Electron Spin
11/7/16 Advanced Lab IV, Zhenyu Ye 32
S = s(s+1)! s = 12 Ag Shell Structure:
2, 8, 18, 18, 1
1925: G.Uhlenbeck, S.Goudsmit
µs = gsmsµB
Sz =ms! ms = ±12
Stern-Gerlach Experiment 1922
En,ml ,ms= −
e2
!c⎛
⎝⎜
⎞
⎠⎟
2mec
2
2n2+ glmlµBB+ gsmsµBB
𝜇t =𝑒ℏ2𝑚
𝑔w = 1
𝑔x = 2
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L, S and J
31-Oct-16 Statistics-III, Zhenyu Ye 33
2S+1LJ
541.6nm
S=1, L=0, J=1
S=1, L=1, J=2
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L, S and J
31-Oct-16 Statistics-III, Zhenyu Ye 34
𝑔y =𝑔x J 𝑆 + 𝑔w J 𝐿
𝑆 + 𝐿
2S+1LJ
𝐸 = 𝐸t=b + 𝑔y𝑚y𝜇t𝐵
∆𝐸 = ∆(𝑔y𝑚y)𝜇t𝐵
541.6nm
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L, S and J
31-Oct-16 Statistics-III, Zhenyu Ye 35
ΔJ=±1, Δmj=0, ±1
𝑔y =𝑔x J 𝑆 + 𝑔w J 𝐿
𝑆 + 𝐿
2S+1LJ
𝐸 = 𝐸t=b + 𝑔y𝑚y𝜇t𝐵
∆𝐸 = ∆(𝑔y𝑚y)𝜇t𝐵
541.6nm
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Zeeman Effect Lab
31-Oct-16 Statistics-III, Zhenyu Ye 36
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Polarizer
31-Oct-16 Statistics-III, Zhenyu Ye 37
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Interference Filter
31-Oct-16 Statistics-III, Zhenyu Ye 38
=𝜆4
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Fabry-Perot Etalon
31-Oct-16 Statistics-III, Zhenyu Ye 39
𝑘𝜆 = 2𝑑𝑐𝑜𝑠𝜃 = 2𝑑 1 − 𝑠𝑖𝑛0𝜃 ≈ 2𝑑 1−𝜃0
2 ≈ 2𝑑 1−𝐷�0
8𝑓0
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Fabry-Perot Etalon
31-Oct-16 Statistics-III, Zhenyu Ye 40
∆𝜆 =𝜆0
2𝑑𝐷�U0 − 𝐷�00
𝐷�4>0 − 𝐷�00=𝜆0
2𝑑𝐷�00 − 𝐷�>0
𝐷�4>0 − 𝐷�00
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31-Oct-16 Statistics-III, Zhenyu Ye 41