Application of Simulation to
LIGO Interferometers
Who am I?
» Matthew Evans, Ph.D. from Caltech on Lock Acquisition
What will I torture you with today?
» Part 1: Interferometer Simulation
– The Fabry-Perot Cavity
– Simulation Ingredients
– Systems in the End-To-End modeling environment (E2E)
» Part 2: Lock Acquisition
– Lock Acquisition Basics
– The Sensing Matrix
– Stepwise Locking for LIGO 1
– Simulation meets Reality
Matthew Evans, Ph237 April 2002 1
Part1: Interferometer
Simulation
What is simulation all about?
» The collection and use of operational knowledge in a computationally functional framework.
Why do I care, and why should you?
» Understanding the pieces is, for the most part, easy; understanding what happens when you put them together can be quite hard.
» Some tough problems that can be addressed are:
– Lock acquisition
– Noise tracking
What is known about this?
» Frequency-domain simulation can be used to understand linear systems.
» Time-domain simulation is necessary to understand non-linear behavior.
Matthew Evans, Ph237 April 2002 2
Optics
The Fabry-Perot Cavity as an Example System
Electronics
Coil-magnet pairs
Matthew Evans, Ph237 April 2002
Mechanics
3
Optical Components
Surfaces
» Reflection
» Transmission
» Distortion
Media
» Propagation phase
» Propagation delay
» Distortion
Others
» Field source
» Field modulator (amplitude and phase)
» ...
Matthew Evans, Ph237 April 2002 4
Linear Components
Many electrical and mechanical components have a linear input-to-output response near their operating point.
These components can be represented by a frequency-domain transfer function.
A single, universal, transfer function module can be used for linear components of optical, electrical and mechanical systems.
Non-linear components must be handled on a caseby-case basis.
Matthew Evans, Ph237 April 2002 5
Electrical Components
Linear
» Analog filters
» Digital filters
Non-linear
» Analog saturation/slew rate effects
» Analog Logic
» Analog-Digital Converters (ADCs)
» Digital-Analog Converters (DACs)
» Digital Algorithms
Matthew Evans, Ph237 April 2002 6
Mechanical Components
Linear
» Seismic isolation stacks
» Optic suspension systems
Non-linear
» Earthquake stops
» ???
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Transducers
Opto-electrical: photo-detectors
Electro-optical: laser power/phase, phase/amplitude modulators
Electro-mechanical: coil-magnet pairs
Mechano-electrical: magnetic induction
Mechano-optical: mirrors
Opto-mechanical: radiation pressure
Matthew Evans, Ph237 April 2002 8
Example Systems in E2E
Simplified Fabry-Perot LIGO Optics field source propagator mirror compound optical system
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Conclusion (of Part 1)
Simulation helps us to understand complex systems
» Allows physically challenging experiments and measurements
– Direct measurement of field amplitudes (magnitude and phase)
– Adjustment and measurement of absolute positions
» Allows incremental additions/removal of “reality”
– Noise sources
– Asymmetries/Imperfections
» Quick and inexpensive research and development environment
E2E used to develop lock acquisition algorithm for
LIGO 1 interferometers
Simulation capable of detailed noise tracking currently under construction in E2E
Matthew Evans, Ph237 April 2002 10
Part 2: Lock Acquisition
What is Lock Acquisition?
» The process by which an uncontrolled interferometer is brought to its operating point. (Relative mirror motions are reduced by more than 6 orders of magnitude.)
Why do I care, and why should you?
» If you can’t lock your interferometer, you can’t use it as a gravitational wave detector.
What is known about this?
» For simple configurations (no coupled cavities), it is easy.
» For complex systems, it can be much more difficult. (Read my thesis.)
Matthew Evans, Ph237 April 2002 11
The Fabry-Perot Cavity
The simplest optical resonator, a Fabry-Perot cavity, consists of only two mirrors and is sufficient to demonstrate many of the principals of lock acquisition.
x
Power and Demod signals
A cav
Laser
REF
ITM ETM
S demod
r
ETM
A cav
2 sin( 2 kx )
Linear control theory can be used to hold the cavity near resonance.
2
/ k
1064 nm
Matthew Evans, Ph237 April 2002 12
Error Signal vs.
Demodulation Signal
S err
S demod
2
A cav
g
FP x , for x
Mirror Position and Control Force
Power and Demod signals
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Laser
LIGO 1 Interferometer
ETM y
Y h
X
Y
REF
ITM y
POB
RM
BS
RM BS
ITM x
ASY
Matthew Evans, Ph237 April 2002
X
ETM x
14
Sensing Matrix
Fabry-Perot cavity
» 1x1 sensing matrix, M
» Not always invertible
S demod
g
FP
M
1
S
A cav
x
2 x
S
S g
FP
M demod
A cav
2
LIGO 1 interferometer
» 5x4 sensing matrix
» Invertible in pieces
» Leads to stepwise lock acquisition
S
I
I ref pob
Q asy
Q
Q ref pob
Matthew Evans, Ph237 April 2002
Y
X
RM
BS
15
Stepwise Locking for LIGO 1
State 1 : Nothing is controlled. This is the starting point for lock acquisition.
State 2 : The power recycling cavity is held on a carrier anti-resonance.
In this state the sidebands resonate in the recycling cavity.
State 3 : One of the ETMs is controlled and the carrier resonates in the controlled arm.
State 4 : The remaining ETM is controlled and the carrier resonates in both arms and the recycling cavity.
State 5 : The power in the IFO has stabilized at its operating level. This is the ending point for lock acquisition.
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Lock Acquisition
Real and Simulated
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Evolution of the Lock
Acquisition Code at Hanford
From Simulation to the Real World
» Developed in the E2E simulation
» Written for direct portability (the code written for the simulation is used, without modification, to control the interferometer)
Robustness to Imperfections
» Algorithms developed in the relatively perfect world of simulation must anticipate the imperfections of reality
Measurement Bootstrapping
» The lock acquisition algorithm requires information about the interferometer
» This information must be measurable in states which can be attained without the desired information .
Alternate Configuration Locking
» Originally, the lock acquisition algorithm was designed with only the final operating configuration in mind.
» It is now capable of locking other states (single arm, interferometer without power recycling, etc.)
Matthew Evans, Ph237 April 2002 18
Making the Interferometer
“Lockable”
Measuring and Inverting the Sensing Matrix
» Additional detectors and ADC channels were required to measure the elements of the sensing matrix.
» Software development was necessary to integrate the lock acquisition algorithm into the existing control software.
Maintaining Signal Integrity
» The power in the interferometer varies by more than 2 orders of magnitude over the course of lock acquisition.
» Noise and saturation problems not present in the operating state appear during lock acquisition.
Alignment
» Wave-front-sensing is not available during lock acquisition.
» Large impulsive drive forces are applied, inevitably exciting angular motion.
» Optical lever feedback, not in the original detector design, was used to achieve robust alignment control.
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Conclusion
The LIGO1 interferometers have all been locked using this acquisition scheme.
Lock acquisition is best thought about in the interferometer design phase .
Future work: developing a lock acquisition scheme for an advanced LIGO dual recycled interferometer.
Matthew Evans, Ph237 April 2002 20