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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)
     * [[https://gwdoc.icrr.u-tokyo.ac.jp/cgi-bin/private/DocDB/ShowDocument?docid=15951|JGW-G2415951]]
     * [[https://gwdoc.icrr.u-tokyo.ac.jp/cgi-bin/private/DocDB/ShowDocument?docid=13723|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)
   * PINN (Physics-informed neural network)
     * !DanChen & Sakemi
     * JPS 2023 Autumn [[https://gwdoc.icrr.u-tokyo.ac.jp/cgi-bin/private/DocDB/ShowDocument?docid=15075|JGW-G2315075]]
     * JPS 2024 Spring [[https://gwdoc.icrr.u-tokyo.ac.jp/cgi-bin/private/DocDB/ShowDocument?docid=15603|JGW-G2415603]]
   * Other ongoing initiatives?
       Has each research unit or search pipeline been developing noise subtraction optimized for their specific needs?
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 * 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)
 * 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)
         * [[https://gwdoc.icrr.u-tokyo.ac.jp/cgi-bin/private/DocDB/ShowDocument?docid=15951|JGW-G2415951]]
         * [[https://gwdoc.icrr.u-tokyo.ac.jp/cgi-bin/private/DocDB/ShowDocument?docid=13723|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 [[https://gwdoc.icrr.u-tokyo.ac.jp/cgi-bin/private/DocDB/ShowDocument?docid=15075|JGW-G2315075]]
         * JPS 2024 Spring [[https://gwdoc.icrr.u-tokyo.ac.jp/cgi-bin/private/DocDB/ShowDocument?docid=15603|JGW-G2415603]]
       * Other ongoing initiatives?
         * Has each research unit or search pipeline been developing noise subtraction optimized for their specific needs?
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 * Computers and Pipelines
   * GPU for offline !DeepClean @ Taiwan
   * GPU for online !DeepClean @ Kamioka
   * Kashiwa KMST
   * RESCEU
       * Note:
         * 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
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     * Other efforts within LV(K)
       * NonSENS (NON-Stationary Estimation of Noise Subtraction)
          * 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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 * Other efforts within LV(K)
   * NonSENS (NON-Stationary Estimation of Noise Subtraction)
            * 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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     * Commissioners may request specific noise subtraction, such as subtracting noise in ''channel-A'' using ''auxiliary channel-B''?
     * Commissioners may manage a safe channel list?
     * ...
   * Commissioners may request specific noise subtraction, such as subtracting noise in ''channel-A'' using ''auxiliary channel-B''?
       * Commissioners may manage a safe channel list?
   * ...
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       * Safe channel, Witness channel, Auxiliary channel, ...
 * Online(front-end), Low-latency, Middle-latency, High-latency, (offline), ...
 * NOTE: The following terms mean different things. Please use them correctly when discussing:
   * Safe channel, Witness channel, Auxiliary channel, ...
   * Online(front-end), Low-latency, Middle-latency, High-latency, (offline), ... 

Noise Subtraction subgroup

Pre-meeting

  • Date/Time: Tuesday, November 5th, 2024, 1600-1800 JST (0700-0900 UTC)
  • Connection Info.: Zoom1
  • Agenda
  • 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?
  • NOTE: The following terms mean different things. Please use them correctly when discussing:
    • Safe channel, Witness channel, Auxiliary channel, ...
    • Online(front-end), Low-latency, Middle-latency, High-latency, (offline), ...

KAGRA/SEO/NoiseSubtraction (last edited 2024-11-05 15:55:51 by tatsuki.washimi)