Presentation is loading. Please wait.

Presentation is loading. Please wait.

Velocity of light in water

Similar presentations


Presentation on theme: "Velocity of light in water"— Presentation transcript:

1 Velocity of light in water
Simple Method MC Data

2 Method (Led run)

3 Method From Led run (time and position for each OM)
Time = Peak (highest bin, bin size=0.5 ns) Position = nominal OM position Eliminate not significant peak (Noise>Peak-5*sqrt(peak)) Time versus distance Fit y=ax+b

4 Plot MC Take time from bin with maximal hits = Timepeak
Timepeak versus distance n=v_vacuum/v_measured

5 MC (Led) Run Absorption Scattering Fit range n delta n
Inf

6 MC (Laser) Led and Laser runs slightly dependent from fit range
Run Absorption Scattering Fit range n delta n Led and Laser runs slightly dependent from fit range Fit over full range no dependence of absorption and scattering Led run n = Laser run n = Ciro put in the MC: Led run n = Laser run n = Ciro can you please generate MC with n=1.3 and n=1.5 ???

7 MC (different Lines)

8 Thinking about errors Laser (full width 0.8 ns) Led (full width 4 ns)
=> early photon effect maximum 4 ns Walk effect (is smaller than 4ns) Binning in histogram 0.5ns Positioning (possible 20 cm = 1ns) We measure times of 1000 ns => accuracy of the measurement around 0.5%

9 Data (Do we crosscheck Pacos timing calibration?)

10 Data (different fit range)
Error in t=2 ns, error in position x=1m Run fit rang[m] n delta n chi/ndf /38 /19 /17

11 Data (Different Lines) We crosscheck Pacos timing calibration)

12 Data (different Lines)
Run Line n delta n chi/ndf /38 /49 /47 /39

13 Data (different runs) Run Line n delta n chi/ndf
/38 /38 /36 /38 /35 /43 /41 /39 /42 36063UV /30

14 Is this useful? Only cross check of Pacos work?
Improvement:Take real OM positions Define fit range (systematic bias) Method ok? Have a look to Laser runs

15 Early photon effect (MC)
Introduce cut to minimize early photon effect: Ciros cut: charge per hit < 1.5p.e. => minimal distance 100m

16 Early photon effect (MC and Data)

17 Method From Led run (time and position for each OM)
Time = Peak (highest bin, bin size=0.5 ns) Position = nominal OM position Eliminate not significant peak (Noise>Peak-5*sqrt(peak))=>defines max. fit value Charge per hit < 1.5 p.e=>defines min. fit value Time versus distance Fit y=ax+b

18 MC Measured refraction index
MC Input n= (at 470nm) Run Absorption Scattering Fit range n delta n Inf Conclusion: Small model dependence about 0.5% Laser MC run: MC Input n= (at 532nm) MC measured n=

19 Stability against cuts
(Noise>Peak-5*sqrt(peak))=>defines max. fit value Charge per hit < 1.5 p.e=>defines min. fit value Change charge per hit to 5.0 => 0.2% Change charge per hit to 1.2 => 0.2% Change Peak-10*sqrt(peak) => 0.5% Conclusion: Small cut dependence about 0.5%

20 Data at 470 nm N= (+-0.5%)

21 Conclusion Method stable against cuts +-0.5%
Method stable against different assumption for absorption and scattering +-0.5% Measurement at lambda=470 nm (Led) n= %(stat.)+-0.5%(exp.)+-0.5%(theo.) =>n=


Download ppt "Velocity of light in water"

Similar presentations


Ads by Google