1906
Comment:
|
2320
|
Deletions are marked like this. | Additions are marked like this. |
Line 5: | Line 5: |
== Management tool == github: [[https://github.com/gw-analysis/detector-characterization/projects/1?]] == Communication tool == Slack |
|
Line 33: | Line 40: |
* The characterization of Virgo data and its impact on gravitational-wave searches [[https://arxiv.org/abs/1203.5613]] * Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science [[https://arxiv.org/abs/1611.04596]] |
Physical and Environmental Monitor injection
Project description
Physical and Environmental Monitor (PEM) injection is a way to identify environmental noise sources by intentionally injecting them, such as vibrations, large sound or electromagnetic waves.
Management tool
github: https://github.com/gw-analysis/detector-characterization/projects/1?
Communication tool
Slack
Schedule
Related URLs and Documents
- KAGRA Commissioning workshop 2017
http://gwwiki.icrr.u-tokyo.ac.jp/JGWwiki/KAGRA/Commissioning/CommissioningWorkshop2017/PEMInjection
- Introduction to PEM injection
https://dcc.ligo.org/cgi-bin/private/DocDB/ShowDocument?docid=G1702321&version=
- Sensor list
- Reference of RF noise measurement at NAOJ in 2005 (in Japanese)
https://gwdoc.icrr.u-tokyo.ac.jp/cgi-bin/private/DocDB/ShowDocument?docid=7525
- INTRODUCTION TO PEM, Robert Schofield, 2006
https://people.ligo-wa.caltech.edu/~robert.schofield/RobertsPEMguide/SciMonCampPEM.html
- Determining the Effect of Acoustic Coupling on Advanced LIGO
https://dcc.ligo.org/public/0120/T1500301/001/Final%20Paper.pdf
- Characterization of transient noise in Advanced LIGO relevant to gravitational wave signal GW150914
https://dcc.ligo.org/public/0122/P1500238/024/P1500238_GW150914_noise_characterization.pdf
- Quantifying the Effects of Acoustic Coupling on Advanced LIGO
https://ir.library.oregonstate.edu/concern/graduate_thesis_or_dissertations/0k225c518
- The characterization of Virgo data and its impact on gravitational-wave searches
- Scattering Noise Studies at LLO via Injection Techniques
- The characterization of Virgo data and its impact on gravitational-wave searches
- Gravity Spy: Integrating Advanced LIGO Detector Characterization, Machine Learning, and Citizen Science