The Gravity Probe B Experiment: “Testing Einstein’s Universe” (Data Analysis Challenges)
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Transcript of The Gravity Probe B Experiment: “Testing Einstein’s Universe” (Data Analysis Challenges)
GP-B/Aero-Astro
1Data Analysis
September 30, 2008 • Stanford
The Gravity Probe B Experiment: “Testing Einstein’s Universe”
(Data Analysis Challenges)
Dr. Michael Heifetz(Hansen Experimental Physics Laboratory)
GP-B/ Aero-Astro
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October 21, 2008 • Stanford
Data Analysis
What is Gravity Probe B?• Gravity Probe B (GP-B) is a NASA physics mission to
experimentally investigate Albert Einstein’s 1916 general theory of relativity – his theory of gravity.
• GP-B directly measures in a new way, and with unprecedented accuracy, two extraordinary effects predicted by the general theory of relativity:1. The geodetic effect – the amount by which the
Earth warps the local spacetime in which it resides2. The frame-dragging effect – the amount by which
the rotating Earth drags its local spacetime around with it.
The frame-dragging effect has never before been directly measured!
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October 21, 2008 • Stanford
Data Analysis
The Enigma of Gravity
Sir Isaac Newton:Space and time are absolute or fixed entities. Gravity is a force that acts instantaneously between objects at a distance, causing them to attract one another.
Albert Einstein:Space and time are relative entities, interwoven into a spacetime fabric whose curvature we call gravity. Spacetime tells matter how to move, and matter tells spacetime how to curve.
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Data Analysis
• Geodetic Effect– Space-time curvature ("the missing inch")
• Frame-dragging Effect– Rotating matter drags space-time ("space-time as a viscous fluid")
The Relativity Mission Concept
ωRωRvR 23232
323
RRcGI
RcGMΩ
Leonard Schiff
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October 21, 2008 • Stanford
Data Analysis
A “Simple” Experiment
GP-B Co-Founder, Bill Fairbank, once remarked: “No mission could be simpler than GP-B; it’s just a star, a telescope and a spinning sphere.” However, it took over four decades to develop all the cutting-edge technologies necessary to carry out this “simple” experiment.
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Data Analysis
Brief History of Gravity Probe B1957 Sputnik – Dawn of the space age1958 Stanford Aero-Astro Department created1959 L. Schiff conceives of orbiting gyro experiment as a test of General Relativity1961 L. Schiff & W. Fairbank propose gyro experiment to NASA1972 1st drag-free spacecraft: TRIAD/DISCOS1975 SQUID readout system developed1980 Rotor machining techniques perfected1998 Science instrument assembled2002 Spacecraft & payload integrated2004 Launch and vehicle operations2005 End of data collection
Start of Data Analysis2007 Preliminary results presented at April APS meeting2008 -2009 Final results
•84 doctorates (29 Phys; 54 AA, EE, ME; 1 Math)•15 Master’s degrees, 5 Engineer’s degrees•13 doctorates completed at other universities
Stanford Student Participation
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October 21, 2008 • Stanford
Data Analysis
Spacecraft gyros(3x10-3 deg/hr) 102
10
1
0.1
0.01
39 Frame dragging<0.3% accuracy
103
6606
Geodetic effect <0.002% accuracy
mar
csec
/yr
0.5 GP-B requirement
104
105
106
107
108
109
Best laser gyros (1x10-3 deg/hr)
Best mechanical gyros on Earth(10-2 deg/hr)
Electrostatically suspended gyroscope (ESG) on Earth with torque modeling(10-5 deg/hr)
Why a Space-Based Experiment?
mar
csec
/yr
Best terrestrial gyroscopes 10,000,000 times worse than GP-B 1 marcsec/yr = 3.2x10-11 deg/hr
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October 21, 2008 • Stanford
Data Analysis
GP-B Instrument Concept
Gyros 4 & 3
Gyros 2 & 1
Fusedquartz block
(metrology bench)
Star tracking telescope
Guide star
IM Pegasi
• Operates at ~ 2 K with liquid He• Rolls about line of sight to Guide Star
– Inertial pointing signal at roll frequency– Averages body-fixed classical disturbance torques toward zero– Reduces effect of body-fixed
pointing biases
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October 21, 2008 • Stanford
Data Analysis
Ultra-Precise Gyroscopes
To measure the minuscule angles predicted by Einstein's theory, it was necessary to build near-perfect gyroscopes ~10 million times more precise than the best navigational gyroscopes. The GP-B gyro rotors are listed in the Guinness Database of World Records as the most spherical man-made objects.
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October 21, 2008 • Stanford
Data Analysis
SQUID Magnetometers
How can one monitor the spin-axis orientation of a near-perfect spherical gyroscope without any physical marker showing the location of the spin axis on the gyro rotor? The answer lies in superconductivity.
Predicted by physicist Fritz London in 1948, and most fortunate for GP-B, a spinning superconductor develops a magnetic moment exactly aligned with its spin axis.
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October 21, 2008 • Stanford
Data Analysis
Dewar & Probe
GP-B’s 650-gallon dewar, kept the science instrument inside the probe at a cryogenic temperature (2.3K) for 17.3 months and also provided the thruster propellant for precision attitude and translation control.
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October 21, 2008 • Stanford
Data Analysis
Pointing Telescope
A telescope mounted along the central axis of the dewar and spacecraft provided the experiment’s pointing reference to a “guide star.” The telescope’s image divider precisely split the star’s beam into x-axis and y-axis components whose brightness could be compared.
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October 21, 2008 • Stanford
Data Analysis
Integrated Payload & Spacecraft
Built around the dewar, the GP-B spacecraft was a total-integrated system, comprising both the space vehicle and payload, dedicated as a single entity to experimentally testing predictions of Einstein’s theory.
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October 21, 2008 • Stanford
Data Analysis 19
Redundant spacecraft processors, transponders.
16 Helium gas thrusters, 0-10 mNea, for fine 6 DOF control.
Roll star sensors for fine pointing.
Magnetometers for coarse attitude determination.
Tertiary sun sensors for very coarse attitude determination.
Magnetic torque rods for coarse orientation control.
Mass trim to tune moments of inertia.
Dual transponders for TDRSS and ground station communications.
Stanford-modified GPS receiver for precise orbit information.
70 A-Hr batteries, solar arrays operating perfectly.
GP-B Spacecraft
6.4 m 3240 kg
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Data Analysis
Challenges of Data Analysis…
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October 21, 2008 • Stanford
Data Analysis
θ
Apparent Guide Star
aberration
Guide Star
GSe
EWeNSe
s
- gyro spin axis orientation
- vehicle roll axis orientation - gyroscope misalignment
s
Relativity: slopes of (Geodetic) and (Frame- dragging) (significantly more complex problem)
)(tsNS
)(tsEW
noisebiasrEWEW
rNSNSgSQUID
s
sCtZ
][
)sin()(
)cos()()(
SQUID Readout Data
Roll Phase Data
Telescope Data, Orbital and Annual
Aberrations
Scale Factor
Gyro orientation trajectory and - straight lines )(tsNS
)(tsEW
Surprise B: Patch Effect Torque
- calibrated based on orbital and annual aberration
,g
CSurprise A: variationsgC
‘Simple’ GP-B Data Analysis
Pointing Error via
Telescope
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October 21, 2008 • Stanford
Data Analysis
Three Cornerstones of Dynamic Estimation (Filtering)
InformationTheory
Filter Implementation: Numerical Techniques
Gyroscope Motion: Torque Models
UnderlyingPhysics
SQUID Readout Signal Structure: Measurement Models
UnderlyingPhysics,
Engineering
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October 21, 2008 • Stanford
Data Analysis
Data Analysis Structure: ‘Two-Floor’ Processing
Torque Modeling
SQUID Readout Processing
Gyro Orientation Time History
Data Analysis Building
First Floor
Second Floor
RelativityMeasurement
Full Information Matrix
Patch Effect Torque Theory
(mathematical physics)
Scale Factor Modeling
Trapped Flux Mapping
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October 21, 2008 • Stanford
Data Analysis
Polhode Motion, Trapped Flux & Cg• Actual ‘London moment’ readout
Body-axis Path Trapped magnetic
fields
London magnetic field at 80 Hz: 57.2 μGGyro 1: 3.0 μG
Gyro 2: 1.3 μG Gyro 3: 0.8 μGGyro 4: 0.2 μG
• Scale factor Cg modulated at polhode frequency by trapped magnetic flux•Two methods of determining Cg history
- Fit polhode harmonics to LF SQUID signal- Direct computation by Trapped Flux Mapping
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October 21, 2008 • Stanford
Data Analysis
Polhode Motion and Readout Scale Factor: Cg Model
p
I3
I1
I2
Gyro principle axes of inertiaand instant spin axis position
00
2 2
0 0
( ) 1 ( )cos( ( )) ( )sin( ( )) ,
, , ( ) tan( / 2).
N
g g n p n pn
K Kn k n k
n nk n nkk k
C t C a n t b n t
a a b b t
Harmonic expansion in polhode phase with coefficients that depend on polhode angle
Trapped Flux Mapping (TFM)
- Polhode phase
p
- Polhode angle
Unknowns
3I
1I
2I
Guide Star
Trapped Flux
John Conklin
GP-B/ Aero-Astro
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October 21, 2008 • Stanford
Data Analysis
First Floor: SQUID Readout Data Processing
SQUID Data
SQUID No-bias Signal
Nonlinear Least-Squares Estimator
(No Torque Modeling)
Roll PhaseData
AberrationData
Data Grading
τ
μ
Batch length: 1orbit Bias
Estimator
Cg (tk*)CT (tk*) δφ(tk*)
Residuals
Pointing/Misalign. Computation
TelescopeData
Roll PhaseData
AberrationData
OUTPUT:PointingGSV/GSI
Polhode PhaseDataTrapped
Flux Mapping Polhode Angle
Data
Full Information Matrix
Gyro Orientation(1 point/orbit)
State Vector Estimates
gC Gyro Scale Factor Model
Let’s look at the gyro orientation profiles…
G/T Matching
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October 21, 2008 • Stanford
Data Analysis
Inertial Orientation Time-history: Gyro 1
NS Direction De-trended
m=42 m=41
EW Direction
time
mill
iarc
secm=42
m=41
resonance
NS Direction
)(tmpr
time
mill
iarc
sec
Strong Geodetic Effect
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October 21, 2008 • Stanford
Data Analysis
NS Direction EW Direction
Inertial Orientation Time-history: Gyro 2NS direction de-trended
m=214 m=142m=214 74 resonances! m=142 time
mill
iarc
sec
EW Direction
Resonance Schedule
Resonances: )(tm proll
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October 21, 2008 • Stanford
Data Analysis
Torque Modeling
)(tRTorqMis
θ
Apparent Guide Star
aberration
Guide Star
GSe
EWeNSe
s
- gyro spin axis orientation
- vehicle roll axis orientation - gyroscope
misalignment
s
sˆ
)]cos()()sin()([))((
)]sin()()cos()([))((
rrNSNSEW
EW
rrEWEWNS
NS
tctcstkrdtds
tctcstkrdtds
Misalignment torque
Roll-Resonance torque
k(t), c+(t), c-(t) are modulated by harmonics of polhode frequency – roll/polhode resonance:
)(tm proll
relativity
2006-2007 2008
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October 21, 2008 • Stanford
Data Analysis
Torque Coefficients: Polhode Variation
Roll-resonance torque coefficients c+, c-:
,00
1010n
N
nn
c
cc
,0
02
1
0
,..2,12
1 ncN
nmn
mn
cMmm
m
cc
cc
2)(tan 0
0
t
Misalignment torque coefficient k:
)sincos()( 02
0
01 pmp
M
mm mkmktk
k
and have the same structure as and
mk
1 mk
2
mc
1
mc
2
)sincos()()( 21
1010 pmp
M
mm mcmcctc
c
The same polhode structure as in Readout Scale Factor Model (1st Floor)
Trapped Flux Mapping
)(tp - polhode phase
)(0t - polhode
angle
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October 21, 2008 • Stanford
Data Analysis
2nd Floor Roll-Resonance Torque Dynamic Estimator
Orientations Profiles
Roll Phase
Misalignment
Polhode Phase/Angle
State vector: }{},{,,),(),( ckrrtstsxEWNSEWNS
)(),()( 11 kkkk txttFtx
kkk tHxtz )()( 1
Propagation Model:
Measurement Model:
Estimator (separate for each segment)
Output: - Torque related variables:
- torque coefficients - modeled torque contributions
- Reconstructed “relativistic” trajectory (Orientation profile minus torque contributions)
Combine reconstructed trajectories for all segments
Fit to a straight line
Relativity:Slope estimate
Full 1st Floor Information is not yet used
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October 21, 2008 • Stanford
Data Analysis
Measured Inertial Orientation Modeled Inertial Orientation
Gyro 2: Estimation Results(Modeled Orientation vs Measured Orientation)
Subtracting the torque contributions…
74 Resonances!
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October 21, 2008 • Stanford
Data Analysis
NS
Gyro 2: Reconstructed “Relativistic” Trajectory
Reconstructed Trajectory +1σ
-1σ
Weigted LS fit based on input noise
Frame-dragging effect!
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October 21, 2008 • Stanford
Data Analysis
Current Relativity Estimates for Gyros 1,2,3, and 4
GR prediction
Gyro 3 (2007)
Gyro 1,3,4 combined
(2007)Gyro 1 (2007)
Gyro 4 (2007)
Gyro 1,2,3,4 combined
G1 G3
G4G2
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30Data Analysis
September 30, 2008 • Stanford
Where we stand now Roll-Resonance Torque Modeling:
• reduced large part of systematic errors: previously unmodeled torque-related errors are now modeled properly
• dramatically enhanced the agreement between the gyroscopes
The same torque model works for all 4 gyros over entire mission
Developed estimator is not good enough: • Orientation time step, currently 1-orbit (97min) should be made much less than 1 roll period (77 sec)
Final improvement of Algebraic Method: “2-sec Filter”: That is where we need your help!
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October 21, 2008 • Stanford
Data Analysis
Two-Second Filter: Nonlinear Stochastic Optimization Problem
• New Filter is formulated as a Dynamic Nonlinear Estimation Problem:
θ
Apparent Guide Star
aberration
Guide Star
GSe
EWeNSe
s(!)
noisetbaCshtZnknkgkk
))...,,(,,()(
SQUID Data
6108.11,...2,1 Nk307 days = 4605 orbits x 97 min x 30 (2-sec data points)
Nonlinear Model
sec21
kk
ttt
• Nonlinear Dynamic Gyro Motion Model
)},{},{,,( tcksfdtsd
Requires multiple cost-function minimum search iterations going through millions of data points
For 1 Gyro
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October 21, 2008 • Stanford
Data Analysis
Main Equations
noisebiasrEWEW
rNSNSgSQUID
s
sCtZ
][
)sin()(
)cos()()(
00
2 2
0 0
( ) 1 ( ) cos( ( )) ( )sin( ( )) ,
, , ( ) tan( / 2).
N
g g n p n pn
K Kn k n k
n nk n nkk k
C t C a n t b n t
a a b b t
)sincos()()(2
11010 pmp
cM
mm
mcmcctc
Tr = 97 sec
)]cos()()sin()([))((
)]sin()()cos()([))((
rrNSNSEW
EW
rrEWEWNS
NS
tctcstkrdtds
tctcstkrdtds
Geodetic
Frame-dragging
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October 21, 2008 • Stanford
Data Analysis
Main Equaitions -cont
)sincos()(2
01 pmp
kM
mm
mkmktk
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October 21, 2008 • Stanford
Data Analysis
Challenges of 2-sec Filter
• Dealing with several millions of ‘measurement’ equations requires new assessment of numerical techniques and computational capabilities
• Analyzing gyroscopes together and the nonlinear structure of the estimation problem probably will require parallel processing (in which we have no experience)
• Evaluation of the analysis results, given the complexity of 2-sec filter, will probably require the development of new “truth model” simulations