Study of alpha backgrounds using flash ADC in the XMASS experiment Feb. 22nd, 2013 ICRR, Suzuki-Lab. M2 Osamu Takachio.

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Study of alpha backgrounds using flash ADC in the XMASS experiment Feb. 22nd, 2013 ICRR, Suzuki-Lab. M2 Osamu Takachio

Dark matter XMASS experiment DAQ system Study of alpha backgrounds using flash ADC Contents

Dark matter

Observed value Can be explained by optical observation Can be explained by dark mater WIMP (Weakly Interactive Massive Particle) Super symmetry particle( 超対称性粒子 ) Candidate of dark matter Gravitational lens Bullet Cluster WMAP Composition of the universe Dark energy Dark matter Ordinary matter (4%)

XMASS experiment

XMASS experiment is … A versatile low background experiment using liquid xenon as a scintillator Ongoing from October 2010 for the realization of direct detection of dark matter. Was operated until May 2012, and searching of the dark matter and understanding of the detector was done. PMT holder inserted 642 PMTs PMT Total mass 835kg Effective mass100kg Diameter 80cm (LXe) Water tank OVC/IVC

DAQ systems

DAQ system Trigger is generated from ATM HITSUM PMTSUM Analog sum of the ~12 PMT signals input to 1 FADC channel (yellow). FADC can take 642 all the PMT signals using 60 channels.

Study of alpha backgrounds using flash ADC in the XMASS experiment

Motivation Using waveform information available from FADC, we may be able to discriminate alpha events and gamma events. – We want to know how much alpha background exists in the detector. – With the information about alpha events (energy, position etc…), we want to identify and estimate the quantity of the cause of the background. – Then, we can move to the removal work of the causative substance from the detector, etc.

Waveform discrimination In case of liquid xenon, the signals have different waveforms between nucleus recoil and electron recoil. Waveform discrimination – Alphas OR gammas For identification of background. ~MeV region – Dark matter OR gammas For selection of dark matter signals. ~10keV region Alpha Electron(Gamma) τ s = 4.2ns τ l = 22ns τ = 45ns Electron(207Bi), α particles (210Po, 252Cf) was placed in a stainless-steel vessel(6.4cm in diameter) filled with liquid xenon.

Peak search Peak search method – Time window is 4us. – Baseline is the average of the first 100 samples. – Starting point is the crossing point of +20 ADC count. – Ending point is the crossing point of +10 ADC count. – Search next start point. Waveform Example (First peak) (Second peak) Get parameters of the peak Area – Integrate between the starting point and ending point. – 1count~22.4eV according to Co57 detector center calibration Time constant (τ) – Fit exponential function (peak+10ns to peak+150ns).

Time constant distribution Co57 calibrated energy( ) Time constant( ) Gammas 1/30 of data from August 19 th to September 3 rd, 2011(13.7days) The events over 150keV can be discriminated using 50ns criteria. Alphas

Estimation of the time constant τ α = 43.3ns σ = 0.8ns τ γ = 68.7ns σ = 2.7ns Alphas E>4MeV 35470events Mean 43.3ns Sigma 0.8ns Gammas 1MeV<E<2MeV events Mean 68.7ns Sigma 2.7ns The reason of bigger time constant than reference value (τ α = 22ns, τ γ = 45ns). PMT response and margin of the cable length(~5ns) frequency character of PMTSUM(~10ns) discrepancy btw. Boards etc… Project each plot to time constant axis to get mean value and sigma of alpha and gamma events. AlphasGammas

Energy spectrum of the alpha events Po214 Po218Rn222 Alpha events (105,051events) (88.3mcps) Uranium chain (Secular equilibrium in the liquid xenon in our detector)

Selection of Po214 events R Po214 = 7.33 ± 0.01(stat.) × Bq Decay rate of the pure Po214 is for estimation of the quantity

Comparison between data and MC Energy [keV] Events/day/keV Data (pure Po214) 7.33mBq MC (Po214) 7.33mBq Data (All alpha - Po214) MC (Rn222+Po218) 7.33×2 mBq Data and MC is similar spectrum. MC is less than data. Po214 Rn222 Po218

Re-evaluation of the amount of the uranium chain Here I assume Rn222, Po218 and Po214 com into secular equilibrium, I treat the discrepancy as a systematic error. – Data 1720events/day(>4400keV) – MC 1267events/day(>4400keV) – Then each decay rate is,

Light center is … The way to identify the position of the events using 642 PMT’s light information. Equations XMASS detector Where ? ? ? Light quantity of channel n X-coordinate of channel n Y-coordinate of channel n Z-coordinate of channel n

Light center distribution of Po214 events Light center (mm) Energy (keV) data MC 9047 events events Correspond to the surface of the detector 7.7(MeV) ÷ (6.0 ± 0.5(MeV)) = 1.28 ± 0.11 We get a conversion factor for estimateion of the energy of the surface events. (Due to visual estimation of the energy, I set the error larger) ① ② ③ ① ② ③ XMASS detector This curve is due to PMT saturation. Here for next analysis, (Po214)(Data)

A peak observed at “4MeV” → To check the position of the events in the detector, I made the light center distribution of all alphas. Newly found peak by this analysis!

All alphas light center distribution and peak of the “4MeV” E Mean = 3.92 ± 0.01(stat.)MeV (3.92 ± 0.01)MeV × (1.28 ± 0.11) = 5.02 ± 0.44MeV Alpha like Occur around the surface of the detector E = 5.02 ± 0.44 MeV Pb210 of the uranium chain downstream may be contained within the surface of the detector! Correspond to the surface of the detector data (Scale factor)

What is causing this alpha background?? Surface materials ① Cu (face to center) ? ② Cu (Side) ? ③ Cu (Bottom) ? ④ Goretex ? ⑤ PMT aluminum ? ⑥ PMT rim ? ⑦ PMT window ? MC This make “4MeV” peak From this result, I made alpha events using MC at, Cu surface Goretex surface Uranium in PMT aluminum (1.8Bq fixed from other analysis) & ? Bq (existence are suggested from the other analysis)

MC : Uranium alpha(1.8Bq) + Pb210 alpha(0.025Bq) DATA : All alpha spectrum From the best fit between data and MC, I got this value. Cu surface Pb210 Goretex surface Pb ±0.004Bq We are planning to implement electrostatic polishing on Cu to remove Rn daughters and quality control against Rn to prevent it being mixed into again.

Summary We can discriminate alpha like events and gamma like events using 50ns time constant criteria for over 150keV events. There are about 88.3mcps alphas background in total. Of them, as for the high energy part Rn222,Po218,Po214 in radon chain are dominant. – If we assume secular equilibrium, 7.33±0.01(stat.)±2.62(sys.)mBq We can see a peak at 4MeV in the energy spectrum. – I succeed to identify the cause as Pb210 attached to the surface of the anoxic copper used as a PMT holder. – From comparison between data and MC, total amount of the surface Pb210 was estimated at 25±4mBq. Now, we are already carrying out our refurbishment works. – Electrostatic polishing on Cu to remove Rn daughters – quality control against Rn.