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Error budget for the PRIMA conceptual design review

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Title: Error budget for the PRIMA conceptual design review


1
Error budget for the PRIMA conceptual design
review
  • Bob Tubbs, Richard Mathar, Murakawa Koji, Rudolf
    Le Poole, Jeff Meisner and Eric Bakker
  • Leiden University and ASTRON

2
Executive summary
  • Analysis work undertaken indicates that the
    design and operation of VLTI/PRIMA will have to
    be modified/improved in order to reach the goal
    of 10 µas accuracy. Key areas are
  • Main delay line and VCM performance
  • Fringe tracking with wavefront corrugations
  • Dependence of spectral response on wavefront
    corrugations across AT apertures
  • Systematic gradients above Paranal

3
Executive summary
  • Turbulence in the ducts and tunnels
  • Accurate model for the refractive index of air
  • Measurements of the difference in the colour of
    the correlated flux from each star
  • Solutions to each of these problems must be found
    and tested to ensure that the 10 µas astrometric
    performance can be reached (in some cases
    solutions have already been suggested)

4
Executive summary
The astrometric accuracy will be determined by
the accuracy with which errors can be compensated
it will thus depend on how well the VLTI can be
modelled, how accurately the refractive index of
air can be calculated, how accurately the
centroid wavelength of the observing band can be
measured, etc.
5
Contents
  • Interferometry introduction
  • The need for an error budget
  • Summary of principle contributions
  • Error terms which must be reduced
  • Potential problems
  • Conclusions

6
Interferometry
  • Interferometers measure the correlated flux (a
    complex number) from one or more sources on one
    or more baselines
  • The phase of the measured correlated fluxes is
    corrupted by atmospheric fluctuations
  • These correlated fluxes are usually normalised
    according to the source brightness, giving
    visibilities

7
Narrow angle interferometry
  • If two stars lie within the isoplanatic
    separation angle then the correlated fluxes for
    the two stars are correlated with each other (the
    phases vary in harmony with each other)
  • The phase of the cross-correlation is called the
    astrometric phase, and provides a measure of the
    separation between the stars
  • Atmospheric errors can be eliminated by averaging
    this cross-correlation with time, if the stars
    are within one isoplanatic angle

8
Narrow angle interferometry
9
Coherent integration
  • An additional benefit of narrow angle
    interferometry is that the phase of the
    correlated flux from a bright star can be tracked
    and used to correct fluctuations in the phase of
    a nearby fainter star
  • This can allow long coherent integrations on the
    faint star, although it requires a bright primary
    star
  • At K-band the improvement in limiting magnitude
    for the faint star is moderate (thermal
    background limitations)

10
Need for error budget
  • The target of 10 µas accuracy is very challenging
    (requiring a total differential OPD accuracy of
    10 nm, with individual contributions much smaller
    than this)
  • For most of the path through the VLTI, the beams
    from the different stars are separated, passing
    through different air and reflecting off
    different mirrors

11
Principle contributions
  • The principle contributions can be separated into
    random, zero-mean effects and systematic effects
  • The zero-mean random terms produce requirements
    on the integration times and stability of the
    instrument between repeated measurements
  • The systematic effects can only be eliminated
    with a good understanding of the instrument and
    again through good instrument stability

12
Zero-mean random terms
  • 1st order atmospheric, dome and tunnel seeing
  • Photon shot noise, thermal background and readout
    noise
  • Signal loss due to phase and group delay tracking
    errors
  • Vibrations (zero mean to 1st order)
  • Polarisation effects (to 1st order)

13
Zero-mean random terms
  • Apart from VLTI internal seeing, the zero-mean
    random components of the OPD error will average
    out to the 10 nm level in 30-120 mins of
    observation, depending on the seeing and angular
    separation
  • VLTI internal seeing is more problematic as it is
    applied separately to the two beams from each AT
  • Measurements indicate that drifts of 1000s of nm
    occur on the timescales of beam switching

14
Eliminating systematic terms
  • Many of the systematic terms will be reduced
    using careful calibration procedures such as
  • Regularly swapping the stellar beams using the AT
    derotator to eliminate systematic differences
    between the two beam paths after the derotator
  • Monitoring the spectrum of the correlated flux
    from each star by using the FSUs as
    Fourier-transform spectrometers

15
Eliminating systematic terms
  • Additional checks on residual systematic terms
    can be performed such as
  • Splitting the light from a single star in the
    image plane so that half of the light passes down
    the PS beam and half passes down the SeS beam
    (StS calibration mode)
  • Repeated measurements of well known binary
    systems to check the system performance

16
Remaining systematic terms
  • The remaining systematic terms generally come
    from 2nd order effects or from combinations of
    multiple error terms, e.g.
  • The combined effects of stellar colour and
    differential dispersion in the main delay line
  • The combined effects of the differential offset
    of the beam footprints on the mirrors before the
    derotator and figuring errors in these mirrors

17
Systematic terms
  • The dependence of the spectral sensitivity of the
    FSUs on the seeing and STRAP performance (due to
    spatial filtering effects)
  • The difference in the atmospheric refraction
    along the paths to the two different stars
  • 2nd order effects on the phase measured at the
    FSU from seeing, photon shot noise and
    polarisation effects

18
Stellar colour and dispersion
  • If the correlated fluxes from the stars have
    different colours, then the differential OPD
    depends on the position of the main delay line
    (MDL) (Richard Mathar will discuss this)
  • The colour of the correlated flux must be well
    known (the centroid wavelength for the
    observations must be known to 0.2nm either
    using the FSUs as Fourier transform
    spectrometers, or by measuring the stellar SEDs
    accurately and knowing the PRIMA instrument
    response very well)

19
Beam walk before de-rotator
  • This will only be significant on M4, which is
    very close to an image plane and before the
    de-rotator
  • The beams from the two stars will reflect off
    different parts of this mirror, so that figuring
    errors at the 5 nm level will cause significant
    errors in the astrometry
  • It may be necessary to map the figuring errors in
    the AT M4 mirrors at the nm level

20
Spectral sensitivity of FSUs
  • Image plane obstructions in the VLTI light beams
    make spectral throughput of the VLTI depend on
    the seeing, the atmospheric refraction and the
    STRAP performance
  • Image plane obstructions include the FSU spatial
    filters and the star separator roof mirror when
    operating in StS calibration mode
  • The spectral throughput must be accurately known
    for atmospheric dispersion corrections

21
Spectral sensitivity of FSUs
  • The StS roof mirror is the easiest component to
    describe here
  • It acts as a Schlieren detector (knife edge)
    (Schlieren is a trick used by optics
    manufacturers to convert wavefront phase
    perturbations across the aperture into wavefront
    amplitude perturbations across the aperture,
    making them visible to the eye)
  • The effect on the astrometric phase is also quite
    complicated and needs modelling

22
Spectral sensitivity of FSUs
In order to investigate the effect of the StS
roof mirror, a simple simulation was undertaken
23
Spectral sensitivity of FSUs
Adding atmospheric refraction
24
Spectral sensitivity of FSUs
Spatial filtering
25
Spectral sensitivity of FSUs
  • The FSU spatial filter causes the spectral
    sensitivity to vary with the seeing and STRAP
    performance, and causing the centroid wavelength
    to fluctuate by 5nm RMS on short timescales
  • The roof mirror causes the difference in spectral
    sensitivity to vary with the amount of
    atmospheric refraction when in StS calibration
    mode, producing a shift of up to 10 nm in the
    centroid wavelength of the observations (strongly
    dependent on the seeing)

26
Other terms
  • The difference in atmospheric refraction along
    the different beams will be discussed by Richard
    Mathar
  • 2nd order effects on the phases measured will
    require further information about the FSU
    performance
  • Additional terms are discussed in the error
    budget document

27
Potential problems for PRIMA
  • Potential problems which may prevent PRIMA from
    operating have been attached to the error budget
    workpackage. These include
  • Difficulty in operating the VCMs due to problems
    with the delay line supports (also discussed by
    Rudolf Le Poole)
  • Refractive index fluctuations in the delay line
    tunnel due to airflow (discussed by Rudolf Le
    Poole)

28
Deformation of MDL tunnel
  • The MDL Tunnel is built from 20m sections

29
Deformation of MDL tunnel
30
Deformation of MDL tunnel
31
Deformation of MDL tunnel
  • Currently this deformation prevents use of the
    VCMs
  • The VCMs are essential to PRIMA astrometry
    (otherwise the beam walk on mirrors becomes
    large, leading to large OPD variations, and the
    pupil is not re-imaged in front of the DDL)
  • This will be discussed in detail by Rudolf

32
Refractive index fluctuations
Airflow in tunnels will be discussed by Rudolf
33
Fringe tracking problems
  • Numerical simulations indicate that fringe
    tracking may be unreliable with large apertures
    using the FSU design envisaged
  • The principle problem relates to the break-up of
    the stellar images into speckles
  • Each speckle has a different optical phase, and
    the speckle patterns are different in the
    different group delay tracking spectral channels

34
Phase in the image plane
35
Fringe tracking problems
  • Even for an AT-size aperture, it may be necessary
    to average the group delay over many atmospheric
    coherence times in order to get a sensible
    number

36
Fringe tracking problems
  • The high frequency fringe motion is dominated by
    the effects of the image breaking up into speckles

37
Fringe tracking
  • The fringe tracking performance will be dominated
    by effects which can only be studied using
    numerical simulations
  • It will be essential to incorporate the wavefront
    corrugations across the AT apertures in any
    modelling of PRIMA performance

38
Conclusions
  • A summary of some of the key terms in the error
    budget has been presented
  • There are several potential problems which could
    halt the PRIMA astrometry project
  • A number of areas require more detailed analysis,
    to determine whether error terms can be
    adequately compensated or not
  • Numerical simulations will be required in order
    to estimate the fringe-tracking performance of
    PRIMA
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