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Investigation of diamond sensors for calorimetry

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1 Investigation of diamond sensors for calorimetry
K. Afanaciev 1, I. Emeliantchik 1, A. Ignatenko 1, E. Kouznetsova 2, W. Lohmann 2, C. Grah 2 1 NCPHEP, Minsk; 2 DESY, Zeuthen, ECFA ILC Workshop, Vienna, 2005

2 Application ILC Detector forward calorimeter BeamCal: Sampling
diamond-tungsten calorimeter Expected dose from beamstrahlung is about 10 MGy per year Large area detector is needed

3 Detection mechanism Diamond works as a solid state ionization chamber
Charge carriers, generated by ionizing particle move in an external electric field and induce charge on the surface electrodes This charge is detected by a charge-sensitive preamplifier

4 The samples Chemical vapor deposited (CVD) polycrystalline samples:
A large number of samples from Fraunhofer IAF, Freiburg 12x12 mm plates with thickness m Metallization: 10 nm Ti nm Au 1 pad or 4 pad segmentation samples from GPI, Moscow samples from Element Six HPHT synthetic monocrystalline samples: From ADAMAS BSU Typical size 4x4 mm, thickness m Metallization: Fe-Ni with B ion implantation 1 sample of natural monocrystalline diamond

5 IV Measurement Most of the samples show ohmic
behavior and very high resistance in the order of ohm Settling time of the current is in the order of 100 s. Hysteresis is due to long settling time of the signal.

6 Charge collection distance
Performance of diamond as particle detector is usually characterized by charge collection efficiency  or distance (CCD) Efficiency is given by  = Qmeas/Qind where Qmeas is measured charge and Qind - total charge generated Charge collection distance equals CCD = *d where d is the thickness of the sample CCD could be considered as the drift distance between the charge carrier pair before trapping

7 CCD Measurement To measure CCD we need to know the amount of charge carriers generated But we know that a MIP generates about 36 e--h pairs per 1 m pathlength in diamond Sr90 & Gate PA discr delay ADC In this case CCD = Qmeas /36 diamond Scintillator allows triggering only from particles which could be considered MIPS Scint. PM1 PM2

8 CCD Measurement Pedestal (random trigger) Signal (MIP trigger)
Signal charge value could be calculated from this pair of spectra by subtracting pedestal and multiplying by charge/ADC channel value from calibration. The signal is fitted to the Landau distribution

9 CCD Results

10 CCD vs HV and time Charge collection distance depends on bias voltage
applied to the sample Saturation is observed at field strength of about 1V/m There is also dependence of CCD on time with HV on About 25% signal decrease

11 CCD vs Dose Diamond is stable under irradiation with doses up to 10 MGy But in the process of irradiation the signal properties could change Most of the samples show similar behavior CDD is rising with the dose by approx % and then stabilizes But some samples show complete degradation of signal and sharp rise of the current under irradiation

12 Trapping Trapping of the charge carriers is the main cause of low CCD. Traps could be impurities, defects and other irregularities of crystalline structure. Filling of traps produces space charge in the crystal and could give rise to polarisation effects If we have several trapping levels with different activation energy, density and cross section, the dynamics of trapping will be really weird. For now we have three methods of investigation of trapping levels: TSC, PL and Raman

13 TSC measurements TSC means thermally stimulated currents
The idea is that if we have charge carrier trapping in the diamond at room temperature, then heating the sample up could free trapped charge carriers and produce detectable current. The current peak position vs temperature gives the idea about energy levels of traps. Setup consists of heating plate electronic thermometer with thermopair, HV supply and picoammeter

14 TSC measurements Peak position corresponds to energy of about 0,8-1 eV
FAP21, 100 V TSC “resets” sample, but the shape is similar for different samples

15 Linearity A linear behavior over a large dynamic range is required for the calorimetry application. We have checked this with a beamtest at CERN Setup consists of a box with diamond and preamplifier and scintillator trigger box Incident hadronic beam with approx. 4 GeV energy and intensity from 105 / s up to / 10ns

16 Linearity Signal at high intensity clearly visible w/o preamplifier
Good linearity for two samples over the dynamic range of 102 (flux approx. 2x104-3x106 MIP/cm2 per 10 ns) MIP on the same scale FAP2.2 E 6-4

17 Linearity Particle flux Sample response particle flux E 6-4

18 PL Spectra Photoluminescence spectra of different samples
Si There seems to be a correlation between detector properties and PL

19 Raman Spectra For diamond the Raman line is 1332.5 cm-1 at 300 K.
The presence of graphite in a diamond causes a strong line at 1580cm-1, microcrystalline graphite provides also a 1355cm-1 line. Amorphous carbon gives a broad peak between 1100 and 1700cm-1 E6 150 m FAP5 40 m FAP23 10 m

20 Conclusion Future work
Diamond sensors work and we have results both from CVD and synthetic monocrystalline diamonds. The sensors have good radiation hardness and linear response. The CCD vs time behavior and dependence of CCD on dose needs further investigation. . Future work Need to establish close contact with manufacturer, find a method to characterize samples (PL, Raman) and get interpretation from the material scientists A study of radiation hardness with large doses is planned A new batch of samples is ready for tests.

21 Diamond as detector Diamond have very high radiation hardness
(doses up to 10 MGy) This makes diamond very promising material for the next generation colliders It also have unique properties, such as low conductivity, high thermoconductivity, wide bandgap, chemical inertness

22 Testbeam pad1 pad3 pad2 pad4 diamond 10x10 mm scint. 5x 5 mm
Misalignment or change in the beam profile which wasn’t seen by scint.


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