Noise Subtraction subgroup

Pre-meeting

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• Date/Time: Tuesday, November 5th, 2024, 1600-1800 JST (0700-0900 UTC)
• Connection Info.: Zoom1

Agenda

• Brief Overview of Noise Subtraction Activities

  • Application to GW experiments/analysis
    • What can be accomplished? How effective is it in improving sensitivity/analysis etc.?

Activities at KAGRA

• Who?, Project name?, **Features?(What can and what can't be done?)**, Current status?, Future plan?

• Algorithm
  • Liner ICA (Independent Component Analysis)

    • Yokoyama & Kume (RESCEU), Itoh & Kobayashi (OMU)

    • Ref.: https://doi.org/10.1093/ptep/ptaa056

    • ..
  • Non-liner ICA

    • Yokoyama & Kume (RESCEU)

    • JGW-G2415951

    • JGW-G2213723

  • DeepClean (CNN)

    • Yi, Chou, Yeh (NYCU, NTHU)

    • Ref.: https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.2.033066

    • Low-Latency and Offline Deployment

    • KAGRA F2F　Summer 2024 Slides: https://gwdoc.icrr.u-tokyo.ac.jp/cgi-bin/private/DocDB/ShowDocument?docid=15977

    • ..
  • LSTM
    • Takatani (OMU)

    • Master thesis JGW-P2415615

    • JPS JGW-G2315456

  • PINN (Physics-informed neural network)

    • DanChen & Sakemi

    • JPS 2023 Autumn JGW-G2315075

    • JPS 2024 Spring JGW-G2415603

  • Other ongoing initiatives?
    • Has each research unit or search pipeline been developing noise subtraction optimized for their specific needs?

• Target noises & Witness (Auxiliary) channels

  • AC power 60 Hz and its harmonics
  • Acoustic noise (PSL, IFI, OMC, ...)
  • Other Dofs (CARM, MICH, PRCL)
  • ASC
  • Beam jitter (IMMT1 trans QPD)
  • Violin mode
  • issuue: Safe channel? or not?
• Computers and Pipelines

  • GPU for offline DeepClean @ Taiwan

  • GPU for online DeepClean @ Kamioka

  • Kashiwa KMST
  • RESCEU
  • Online(front-end), Low-latency, Middle-latency, High-latency, (offline), ...
• Other efforts within LV(K)
  • NonSENS (NON-Stationary Estimation of Noise Subtraction)

Edit conflict - your version:

• Date/Time: Tuesday, November 5th, 2024, 1600-1800 JST (0700-0900 UTC)
• Connection Info.: Zoom1

Agenda

• Brief Overview of Noise Subtraction Activities

  • Application to GW experiments/analysis
    • What can be accomplished? How effective is it in improving sensitivity/analysis etc.?

      • Example of NonSENS subtraction at H1, November 2nd, 2024: https://ldas-jobs.ligo-wa.caltech.edu/~detchar/summary/day/20241102/cal/nonsens/#gallery-9

• Activities at KAGRA (Who?, Project name?, **Features?(What can and what can't be done?)**, Current status?, Future plan)

  • Liner ICA (Independent Component Analysis)

    • Yokoyama & Kume (RESCEU), Itoh & Kobayashi (OMU)

    • Ref.: https://doi.org/10.1093/ptep/ptaa056

    • ..
  • Non-liner ICA

    • Yokoyama & Kume (RESCEU)

    • JGW-G2415951

    • JGW-G2213723

  • DeepClean (CNN)

    • Yi, Chou, Yeh (NYCU, NTHU)

    • Ref.: https://journals.aps.org/prresearch/abstract/10.1103/PhysRevResearch.2.033066

    • Low-Latency and Offline Deployment

    • KAGRA F2F　Summer 2024 Slides: https://gwdoc.icrr.u-tokyo.ac.jp/cgi-bin/private/DocDB/ShowDocument?docid=15977

    • ..
  • LSTM
    • Takatani (OMU)
  • ARIMA(AR Integrated MA)
  • PINN (Physics-informed neural network)

    • Dan Chen & Sakemi

    • JPS 2023 Autumn JGW-G2315075

    • JPS 2024 Spring JGW-G2415603

  • Other ongoing initiatives?
    • Has each research unit or search pipeline been developing noise subtraction optimized for their specific needs?

  • Target noises & Witness channels

    • AC power 60 Hz and its harmonics
    • Acoustic noise (PSL, IFI, OMC, ...)
    • Other Dofs (CARM, MICH, PRCL)
    • ASC
    • Beam jitter (IMMT1 trans QPD)
  • Computers and Pipelines

    • GPU for offline DeepClean @ Taiwan

    • GPU for online DeepClean @ Kamioka

    • Kashiwa KMST
    • RESCEU
  • Other efforts within LV(K)
    • NonSENS (NON-Stationary Estimation of Noise Subtraction)

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• Derivation and description of algorithm: https://dcc.ligo.org/LIGO-T1800525

  • Estimates the optimal noise subtraction based on witnesses for the noise and witnesses for modulation of the noise coupling
  • Witness channel can be individual channels (linear subtraction), or product of two channels (bilinear subtraction)

• Codebase: https://git.ligo.org/gabriele-vajente/nonsens

• Running online at LHO/LLO
  • Front-end implementations:

    • LHO https://git.ligo.org/noisecleaning_o4/frontend-nonsens/lho-online-cleaning

    • LLO https://git.ligo.org/noisecleaning_o4/frontend-nonsens/llo-online-cleaning

  • The output channels are available in the control rooms, for use with commissioning, and are the same channels that analysis pipelines will use.

• ...

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• Scope of the Group to be established

  • Organization?
    • Chia-Jui Chou from Natl. Yang Ming Chiao Tung U. will lead the group as the chief.

    • Will the group encompass all noise subtraction-related activities at KAGRA? (ICA+DeepClean+...)

    • Will the group focus specifically on areas that contribute to the commissioning timeline, i.e., low- or middle-latency?

    • or...
  • Roles/Goals for each phase
    • During the commissioning period prior to participating in O4b observation
    • During the O4b observation
      • Q: Will the cleaned h(t) produced by this team be used as an official deliverable and released to the public?!
    • For future phases O5/O6
  • How collaborate with on-site commissioners/IFO experts?
    • e.g.,

    • Commissioners may request specific noise subtraction, such as subtracting noise in channel-A using auxiliary channel-B?

    • Commissioners may manage a safe channel list?
    • ...
    • What considerations should guide us as we progress? How should we work with the team?