TITLE

Removing instrumental artifacts: Suspension violin modes

AUTHOR(S)
Mukherjee, Soma; Finn, Lee Samuel
PUB. DATE
June 2000
SOURCE
AIP Conference Proceedings;2000, Vol. 523 Issue 1, p362
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
We describe the design of a Kalman filter that identifies suspension violin modes in an interferometric gravitational wave detectors data channel. We demonstrate the filter’s effectiveness by applying it to data taken on the LIGO 40M prototype. © 2000 American Institute of Physics.
ACCESSION #
6028826

 

Related Articles

  • Linear versus Nonlinear Filtering with Scale-Selective Corrections for Balanced Dynamics in a Simple Atmospheric Model. SUBRAMANIAN, ANEESH C.; HOTEIT, IBRAHIM; CORNUELLE, BRUCE; MILLER, ARTHUR J.; HAJOON SONG // Journal of the Atmospheric Sciences;Nov2012, Vol. 69 Issue 11, p3405 

    This paper investigates the role of the linear analysis step of the ensemble Kalman filters (EnKF) in disrupting the balanced dynamics in a simple atmospheric model and compares it to a fully nonlinear particle-based filter (PF). The filters have a very similar forecast step but the analysis...

  • A Comparison of the Hybrid and EnSRF Analysis Schemes in the Presence of Model Errors due to Unresolved Scales. Xuguang Wang; Hamill, Thomas M.; Whitaker, Jeffrey S.; Bishop, Craig H. // Monthly Weather Review;Oct2009, Vol. 137 Issue 10, p3219 

    A hybrid analysis scheme is compared with an ensemble square root filter (EnSRF) analysis scheme in the presence of model errors as a follow-up to a previous perfect-model comparison. In the hybrid scheme, the ensemble perturbations are updated by the ensemble transform Kalman filter (ETKF) and...

  • Low Complex Adaptive Fast Converged Kalman Filter for Cardiac ECG Artifacts Elimination. Krishna, Y. Murali; Khasim, N. Sayedu; Raja, V. Naveen // International Journal of Signal Processing, Image Processing & P;2014, Vol. 7 Issue 3, p283 

    The article presents a study which considers the different types of adaptive filters to minimize electrocardiography (ECG) signal noises like Base Line Interference, EM noise and muscle artifact. The purpose of the study which is to limit the problems in biomedical data processing like ECG by...

  • A Probabilistic Theory for Balance Dynamics. Hakim, Gregory J. // Journal of the Atmospheric Sciences;Sep2008, Vol. 65 Issue 9, p2949 

    Balance dynamics are proposed in a probabilistic framework, assuming that the state variables and the master, or control, variables are random variables described by continuous probability density functions. Balance inversion, defined as recovering the state variables from the control variables,...

  • Stable Centered-Difference Schemes, Based on an Unstaggered A Grid, That Eliminate Two-Grid Interval Noise. Kar, Sajal K. // Monthly Weather Review;Oct2000, Vol. 128 Issue 10, p3643 

    The use of a centered-difference scheme on an unstaggered horizontal grid in time-dependent atmospheric or oceanic models leads to spurious two-grid-interval wave solutions that may appear as small-scale noise and mask the physically significant large-scale flow patterns. Although the problem is...

  • Two-stage superconducting-quantum-interference-device amplifier in a high-Q gravitational wave transducer. Harry, Gregory M.; Jin, Insik; Insik Jin; Paik, Ho Jung; Ho Jung Paik; Stevenson, Thomas R.; Wellstood, Frederick C.; Wellstood, Frederic C. // Applied Physics Letters;3/13/2000, Vol. 76 Issue 11 

    We report on the total noise from an inductive motion transducer for a gravitational-wave antenna. The transducer uses a two-stage superconducting quantum interference device (SQUID) amplifier and has a noise temperature of 1.1 mK, of which 0.70 mK is due to back action noise from the SQUID...

  • A new application of Kalman filtering algorithm based on interval calculation in navigation system. Wang Shan; Gu Cheng // Applied Mechanics & Materials;2014, Issue 538, p465 

    In traditional Kalman filtering algorithm, the system noise and observation noise should be assumed as zero-mean Gaussian white noise, meanwhile need the state-space model and relevant references be given and accurate. However, the white noise is just an ideal noise model that doesn't exist in...

  • Balance of the Background-Error Variances in the Ensemble Assimilation System DART/CAM. ŽŽagar, N.; Tribbia, J.; Anderson, J. L.; Raeder, K. // Monthly Weather Review;Jul2011, Vol. 139 Issue 7, p2061 

    This paper quantifies the linear mass--wind field balance and its temporal variability in the global data assimilation system Data Assimilation Research Testbed/Community Atmosphere Model (DART/CAM), which is based on the ensemble adjustment Kalman filter. The part of the model state that...

  • A Posteriori Diagnostics in an Ensemble of Perturbed Analyses. Desroziers, Gérald; Berre, Loïk; Chabot, Vincent; Chapnik, Bernard // Monthly Weather Review;Oct2009, Vol. 137 Issue 10, p3420 

    Real-size assimilation systems basically rely on estimation theory in which two sources of information, background and observations, are combined in an optimal way. However, the optimality of such large problems is not guaranteed, since they rely on different approximations. The observed values...

Share

Read the Article

Courtesy of THE LIBRARY OF VIRGINIA

Sorry, but this item is not currently available from your library.

Try another library?
Sign out of this library

Other Topics