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| Make HDR images from the GigE cameras | Dual wavelength scatter comparison ---- ==== Seismic hot map ==== ---- ==== Seismic State Classifier Using Deep Learning ==== Revive Mashas Neural Net thing but using more modern stuff and make it display in the control room so that we know [[https://youtu.be/H-kA3UtBj4M|what's going on]]. 1. What states to identify? 1. What time scales? 1. What about noisy seismometer? 1. Classifier for beyond seismic? ---- ==== Bounce, Roll, Violin mode tracker ==== ---- ==== Big photo maker for optical tables ==== Linear Rail + Digital Video -> Frame processing to make a single big flat image of the entire table. ==== Installation of the GigE cameras ==== BASLER Cameras ==== HDR Images from GigE Cameras ==== ==== LUNGO Site Selection Using Satellite Topography Data ==== We would like to build a 10-40 km detector in a new site. In order to reduce the effects from gravity gradients and wind, we want the BS and ETM buildings to be inside of a mesa, plateau, or small mountain. Use the new topo data from Surendra at IIT-Hyderabad to find this using some pattern recognition or something. List here the other criteria for site selection: seismic, airports, roads, etc. ---- ==== C.Ri.Me. experiment: automatic prediction of mode frequencies ==== Based on the measurement of the first couple of modes, write some software that predicts (based on fitted COMSOL models and/or extrapolation) where the next modes should be. This can be useful both during the measurement time (to optimize the excitation of low modes) or during the analysis, to improve the identification of the modes ==== C.Ri.Me. experiment: effect of annealing ==== Measure a substrate many time with different annealing schedules, to determine how the Q changes ==== C.Ri.Me. experiment: fit measured frequencies to disk parameters ==== Fit the measured eigenmodes to a COMSOL model, changing diameter, thickness, flat size, etc. |
Here we're listing ideas for undergrad projects of the future along with a few sentence description. Projects need not be only 40m based; can include West Bridge.
Contents
- Mode Cleaner Resonance Tracking
- Doubling Crystal digital controls
- Temperature Stabilization of the Seismometers
- AcroMag Development
- Summary Pages for DetChar
- Scattering
- Seismic hot map
- Seismic State Classifier Using Deep Learning
- Bounce, Roll, Violin mode tracker
- Big photo maker for optical tables
- Installation of the GigE cameras
- HDR Images from GigE Cameras
- LUNGO Site Selection Using Satellite Topography Data
- C.Ri.Me. experiment: automatic prediction of mode frequencies
- C.Ri.Me. experiment: effect of annealing
- C.Ri.Me. experiment: fit measured frequencies to disk parameters
Mode Cleaner Resonance Tracking
to measure absorption. Use HOMs or acoustic modes
Doubling Crystal digital controls
Interface the ovens to the DAQ, make a screen, auto-tune the PID loops
Temperature Stabilization of the Seismometers
Physical_Environment_Monitoring/Seismometers
AcroMag Development
NPRO, Slow controls of the SUS/LSC, eventually some of the Vacuum stuff
Summary Pages for DetChar
Scattering
Do things with ringdowns, GigE cameras, etc. to understand scatter.
Dual wavelength scatter comparison
Seismic hot map
Seismic State Classifier Using Deep Learning
Revive Mashas Neural Net thing but using more modern stuff and make it display in the control room so that we know what's going on. 1. What states to identify? 1. What time scales? 1. What about noisy seismometer? 1. Classifier for beyond seismic?
Bounce, Roll, Violin mode tracker
Big photo maker for optical tables
Linear Rail + Digital Video -> Frame processing to make a single big flat image of the entire table.
Installation of the GigE cameras
BASLER Cameras
HDR Images from GigE Cameras
LUNGO Site Selection Using Satellite Topography Data
We would like to build a 10-40 km detector in a new site. In order to reduce the effects from gravity gradients and wind, we want the BS and ETM buildings to be inside of a mesa, plateau, or small mountain.
Use the new topo data from Surendra at IIT-Hyderabad to find this using some pattern recognition or something. List here the other criteria for site selection: seismic, airports, roads, etc.
C.Ri.Me. experiment: automatic prediction of mode frequencies
Based on the measurement of the first couple of modes, write some software that predicts (based on fitted COMSOL models and/or extrapolation) where the next modes should be. This can be useful both during the measurement time (to optimize the excitation of low modes) or during the analysis, to improve the identification of the modes
C.Ri.Me. experiment: effect of annealing
Measure a substrate many time with different annealing schedules, to determine how the Q changes
C.Ri.Me. experiment: fit measured frequencies to disk parameters
Fit the measured eigenmodes to a COMSOL model, changing diameter, thickness, flat size, etc.