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LUND UNIVERSITY BACHELOR OF S CIENCE T HESIS DEPARTMENT OF NUCLEAR P HYSICS Characterization of Double Sided Silicon Strip Detectors from LYCCA modules for FAIR Author Dalia Farghaly Supervisor Dr. Luis Sarmiento Pico Co-supervisor Dr. Pavel Golubev June 18, 2019

Characterization of Double Sided Silicon Strip Detectors

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Page 1: Characterization of Double Sided Silicon Strip Detectors

LUND UNIVERSITY

BACHELOR OF SCIENCE THESIS

DEPARTMENT OF NUCLEAR PHYSICS

Characterization of Double Sided Silicon

Strip Detectors fromLYCCA modules for FAIR

AuthorDalia Farghaly

SupervisorDr. Luis Sarmiento Pico

Co-supervisorDr. Pavel Golubev

June 18, 2019

Page 2: Characterization of Double Sided Silicon Strip Detectors

AbstractBegun in 2010, the Lund-York-Cologne-CAlorimeter, LYCCA, collaboration is targeted at discov-ering exotic nuclear reaction products whilst implementing the possibility of both position trackingand measuring residual energies of relativistic particles. Each LYCCA module is composed of adouble sided silicon detector and 9 CsI(Tl) detectors. This project is primarily focused on the Sidetectors, the main aim being charaterization of 10 such modules and making sure they are in sat-isfactory condition to be delivered to FAIR. Values for the leakage current at full depletion voltagewere recorded and energy resolution were extracted. In addition to this, 18 32-channels Cologne-produced preamplifiers were tested to ensure they are fully functional. The data was acquired usinga FEBEX-MBS fully digital data acquisition system and calibrated using a Gnuplot script. Theenergy resolution per strip on both p- and n- sides as well as the energy resolution as a functionof energy were extracted using python. All 10 LYCCA modules tested in this work fulfilled therequirements in both energy resolution and leakage current and are fit for experimental use.

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AcknowledgementsFirslty, I would like to thank Dr. Luis Sarmiento and Prof. Dirk Rudolph for sparking an interestwithin me in the field of nuclear physics, allowing me to have the oppurtunity to do this bachelorproject even during the busiest of times, and taking time to proof read my drafts. My appreciationgoes to Dr. Luis Sarmiento for always being willing to explain concepts and answer questionspedagogically, particularly about the data acquisition system, and Dr. Pavel Golubev for allowingme to witness every step of the production process and answer any questions I might have alongthe way, overall making this project a great and memorable experience. Thanks to Dr. Daniel Cox,who took the time to patiently explain how the calibration script works. Lastly, I would like toexpress my gratitude to my family for encouraging and supporting me throughout my period ofstudies.

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Contents

1 Introduction 5

2 A LYCCA module 62.1 The DSSSD . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82.2 A CsI(Tl) Detector . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92.3 DSSSD Preparation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10

3 Testing the DSSSDs 113.1 The Data Acquisition system . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123.2 The Cologne Preamplifiers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13

4 Results 144.1 Energy Resolution . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 154.2 Leakage current . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 184.3 Testing the Preamplifiers . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18

5 Conclusion and Outlook 19

6 Appendix 23

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List of Acronyms

• DSSSD: Double Sided Silicon Strip Detector

• LYCCA: Lund York Cologne CAlorimeter

• FAIR : Facility for Antiproton Ion Research

• NUSTAR: NUclear STructure, Astrophysics and Reactions

• HISPEC: High-resolution In-flight SPECtroscopy

• DESPEC: DEcay SPECtroscopy

• FRS: FRagment Separator

• AGATA: Advanced GAmma-ray Tracking Array

• MBS: Multi Branch System

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Chapter 1

Introduction

One of the underlying aims of research in the field of nuclear physics is synthesizing and dis-covering new exotic nuclei, as well as studying their properties, such as ground states, excited statesand decay modes. The structure of atomic nuclei gives an insight to questions about the conditionsof the early universe, how matter works and how it was created. Some of the most rudimentaryquestions yet to be answered include: Where do heavy elements come from? Are there limits tothe periodic table? How will these discoveries impact the nuclear shell model? The Lund-York-Cologne-CAlorimeter, LYCCA, was designed to shed some light on such inquiries.

LYCCA is an international collaboration with the aim to develop a high energy resolutioncalorimeter. LYCCA has already been used during the 2012 PRESPEC-AGATA campaign andwill be used in the HISPEC/DESPEC campaigns, which are a part of FAIR under the NUSTARumbrella. The beam to be used at FAIR is a very high intensity radioactive ion beam produced thedriver accelerator which then passes through the state-of-the-art Super-Fragment-Separator, Super-FRS. The Super-FRS is a magnetic spectrometer of 71m in length, consisting of various bendingand focusing magnets. This beam will be supplied to three branches, the Low Energy Branch, LEB,the High Energy Branch and the ring branch. The HISPEC experimental setup is located in the lowenergy cave along with the AGATA detector. [7]

AGATA is a 4π detector which makes use of electrically segmented high purity Germaniumcrystals to track the gamma rays produced from excited nuclear states in 3-dimensions. With thehelp of complex electronics systems as well as pulse shaping technologies, information about theenergy and 3 dimensional points of interaction of the gamma rays with the segmented germaniumcan be collected. Advanced algorithms are constructed to extract the energy, time and position,allowing the structure of atomic nuclei at the limit of stability to be studied with respect to variablessuch as angular momentum, isospin and temperature. Overall, the HISPEC collaboration aims toexamine nuclear reactions and structure with high resolution gamma ray spectroscopy. Informationon vibrational or rotational characteristics of nuclei can help determine their shape while propertieslike ground, excited and high-spin states as well as transition probabilities can also be closelyinvestigated. LYCCA is located behind this setup and is used to identify the reaction products. [1]

The low energy cave at FAIR is presently under construction. The commissioned LYCCAdetectors characterized in this thesis are kept at the University of Cologne where they are con-figured with an alternative set-up at the tandem accelerator facility until they are needed for theHISPEC/DESPEC experiments at FAIR.

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Chapter 2

A LYCCA module

The LYCCA telescopes are comprised of two different kinds of detectors: a semiconductor de-tector, in this case a DSSSD (Double Sided Silicon Strip Detector) and 9 Caesium-Iodide Thalliumactivated, CsI(Tl), crystals arranged in a 3x3 array. LYCCA’s modular structure allows for a highdegree of flexibility to be achieved as they can be arranged in various geometrical configurations. InHISPEC/DESPEC, the aim is to arrange them in a wall made of 26 detectors as this will minimizedead space in between the detectors as well as provide a good solid angle coverage.

Figure 2.1: Figure (a) shows a schematic diagram of a LYCCA module. Figure (b) shows anassembled DSSSD in a LYCCA module.

LYCCA’s main objective is to detect exotic nuclei with kinetic energies ranging between 100MeV/u - 300 MeV/u produced in nuclear reactions[7], by measuring the residual energy loss(Eres = E − ∆E) of particles colliding with the detector. The Bethe formula provides a good ap-proximation for a high energy charged particle’s mean energy loss per unit length of travel throughmatter, also known as “stopping power”. Considering a particle at relativistic speed v, charge statez, mass m and energy E that hits a target with mean excitation potential I and electron density nafter travelling a distance x, the stopping power per unit length of matter is:

−⟨dEdx

⟩=

mec2· nz

2

β2·( e2

4πε0

)2

·[

ln( 2mec

2β2

I · (1 − β2)

)− β2

](2.1)

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Page 8: Characterization of Double Sided Silicon Strip Detectors

Where ε0 is the vacuum permittivity, β = vc, e is electronic charge, me is the rest mass of an

electron and c is the speed of light in a vacuum. For a low energy charged particle travelling at nonrelativistic speeds, the factor β << 1. Another assumption made is that the mean excitationpotential I is treated as a constant here, as it has been shown that it is in fact proportional to theatomic number Z; however, this proportionality is not significant an can be neglected. [2] Theelectron density of the target material can be calculated by the following equation:

n =NA · Zt · ρAr ·Mu

(2.2)

Where NA is Avogadro’s number, Zt is proton number of the target material, ρ is the density of thetarget material, Ar is the atomic weight and Mu is the molar mass constant.

Figure 2.2: Z indenfication plot. [3]

Z of an incoming ion can be expressed as afunction of ∆E andEtotal,kinetic, which can dis-played in a graph as shown in Figure 2.2. If theenergy resolutions of both these quantities arein the neighbourhood of 1-2%, which the LY-CCA collaboration aims to provide, the energyresolution for Z (∆Z

Z) will be sufficient to dis-

tinguish the number of protons in the reactionproduct. The 2-dimensional position recordedby the LYCCA module can provide the positionof a charged ion with an uncertainty of ± 1mmon the plastic membrane. In order to find theatomic mass, A, the time of flight measurementis required to find the velocity of the ion. 2mmthick plastic-scintillator membranes in combi-nation with 32 photomultiplier tubes each are used as start-stop detectors for this very purpose.[3] By assuming that the incoming radioactive ions are completely stripped and by using the ToFmeasurements to find the velocity, β, the mass, A, of the isotope can be determined. The biggestseparations shown on the plot are due to the different charges, Z. A smaller separation betweendifferent Z values is due to mass differences, A. Refer to text for details. [3]

The average energy deposition of a charged ion in a DSSSD is around 100 MeV. The kinetic en-ergy of such a particle is the sum of the deposited energies at all the detection parts it goes through;this includes both the primary DSSSD target and DSSSD wall, the plastic scintillator membrane(40 MeV) and CsI crystals (4 GeV). As the particle is completely stopped by the CsI(Tl) crystal,the total kinetic energy can be retrieved. Relativistic corrections must be applied to the velocity(β ≈ 0.5) and the Lorentz factor is determined. Then, by the energy-momentum correlation belowthe mass of the incoming projectile can be found. [3]

Etotal,kinetic = mγc2 −mc2 (2.3)

Based on information from the FRS, the initial neighbourhood of the isotope is determined suchthat the mass resolution (∆A

A) can be determined in this region .

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2.1 The DSSSDDSSSDs are silicon crystalline semiconductor detectors which are able to measure the energy

loss as well as track the incoming particle. The working principle of a semiconductor detector isbased on its energy band structure and the presence of charge carriers. Due to the discrete natureof atomic levels, there is a valence band and a conduction band, between which there is a bandgap where there are no energy levels for the electrons to occupy. Conduction and valence bandsare essentially multiple individual energy levels which are distributed very closely, but since thesemiconductor has a crystal lattice structure, it causes the wavefunctions of the electrons to overlap,making it possible to regard these energy levels as a continuum. [4] The spacing between atoms iswhat determines the thickness of the band gap, which in this case is approximately 1eV. When anelectron is excited across a band gap, a positively charged electron hole forms in its place leadingto an electron-hole pair. This is illustrated in Figure 2.3 below.

Figure 2.3: Comparison of band gap thickness betweenan insulator, semiconductor and conductor. [4]

In order to avoid the recombina-tion of electron-hole pairs, an impu-rity is often introduced through a pro-cess called doping. By doing this,new acceptor and donor energy lev-els are created; for instance, Siliconis tetravalent so if it is doped witha trivalent or pentavalent impurity,there will be either an excess electronor electron hole left behind. Thesematerials are referred to as n-type orp-type respectively. When p-type and

n-type materials are placed in contact with each other, a depletion zone is created. At first, an initialcurrent can be detected, since the electron holes travel towards the n-side and the electrons traveltowards the p-side. There are no charge carriers present in the depletion zone and there is onlya potential difference over the junction, allowing electrons and holes to drift in the electric fieldcreated.

Figure 2.4: Acceptor and Donor levels after dop-ing semiconductor [4].

The thickness of the depletion zone is mod-erated by the contact potential, however it isnot very capable of detecting radiation well, asthe electric field is not strong enough. To im-prove the performance, a reverse bias over thejunction can be applied, which will increase thewidth of the depletion zone. This can be moreeasily increased if the material has a high resis-tivity as seen in the formula below for holes:

1

σ= eniµe + µh (2.4)

where ni is the charge carrier density, and µe and µh are the mobilities of the electrons and electronholes respectively [4].

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Any incoming ionizing radiation creates electron-hole pairs and so a pulse with amplitude pro-portional to the radiation energy deposited in the material. The DSSSD is made primarily from anion implanted, silicon-dioxide passivated wafer which is approximately 300 µm thick, enough tofully stop an incoming alpha particle. There is a layer of aluminium for electrical conductivity. Itis 60.1 × 60.1 mm2 wide, has an active area of 58.5 × 58.5 mm2 and has 32 strips on each side.On the p-side the distance between the strips is 30 µm. However, as discussed before, capacitanceand resistivity are important characteristics that influence the performance of the DSSSD and oc-currence of noise; hence, to isolate the individual strips on the n-side (also called the ohmic side)additional p+ (heavily doped) zones are implanted between the adjacent n-type strips, increasingthe inter strip distance to 200 µm. The strips on the p-side are orthogonal to the ones on the n-side, creating a grid of pixels which can track the incoming particles in 2-dimensions. The voltagerequired to fully deplete such a detector is 50 V. [11]

An important effect to consider is the leakage current, which may occur due to increase intemperature, condition of the detector’s active area etc. An increased leakage current may be anindication of radiation damage which can lead to significant degradation in energy resolution. Inorder to reduce the leakage current, several precautions can be taken, such as creating guard ringstructures in order to avoid the possibility of leakage paths between the strips [5].

2.2 A CsI(Tl) Detector

Figure 2.5: A short-type CsI(Tl) crystal wrappedin VM2000 foil, photo diode mounted with use ofoptical epoxy. [6]

A scintillator is a luminescent type of mate-rial which when exposed to ionizing radiationabsorbs it and re-emits the energy in the form ofoptical light. The CsI(Tl) detectors in LYCCAprovide a measurement of the total kinetic en-ergy of incoming charged particles. Cs(Tl) hasa light output of 54 photons per absorbed keVemitting most of them in the region of 550 nm[13]. This makes it compatible for the use ofphotodiodes as they reach a peak quantum effi-ciency of 82% around 560 nm [13]. In order tooptimize the light collection and prevent lightleakage between the individual crystals, eachcrystal is wrapped in a single layer of VM2000 foil. After this, they are wrapped once more inaluminium foil. 9 CsI(Tl) crystals are mounted behind each DSSSD [3]. Currently there are twogeometries of CsI(Tl) crystals, a short and long type, measuring 13 mm and 33 mm respectively;yet only the shorter version is to be used in the upcoming HISPEC/DESPEC campaigns, due to thetype of beams used. [12] In this thesis however, only the DSSSDs are characterized.

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2.3 DSSSD PreparationThe bare silicon wafers are delivered from RADCON Ltd, Zelenograd, Russia and must be

prepared before usage. Firstly, the silicon strip detectors are mounted onto a FR4 frame made fromprinted circuit board material [11]. After the frame is attached, they must be placed in stainlesssteel holders as part of preparation before they undergo a process called “bonding”.

Bonding is done with the use of a bonding machine and it involves attaching a thin aluminum-silicon wire from the gold-plated pad on the board to the aluminum surface on the silicon detector.In principle, it is most optimal for the wires to be as short as possible, however due to some me-chanical movement of the detector when it is in use, it is beneficial to have the wires slightly longerand not so taut. After the DSSSD has been bonded, the bonds must be secured by using a mix ofepoxy and silver glue. A small amount of glue is placed on to the ends of each of the bonded wires,after which the detector is placed into an oven at 70 degrees Celsius for a few hours to acceleratethe glue drying process. The connections are verified with the use of a voltmeter. Next, the pin-likeconnectors must be placed into the holes in the frame and tin-soldered, and finally the entire struc-ture can be removed from the stainless steel holder. The DSSSD is then finally connected to thecircuit board and is ready to be characterized [12].

Figure 2.6: Figure (a) shows the DSSSD mounted on the stainless steel frame during the bondingprocess. Figure (b) shows the bonded wires attached to the DSSSD with epoxy-silver glue

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Chapter 3

Testing the DSSSDs

Figure 3.1: The experimental setup

The main aim of LYCCA is to detectand identify the products from the nuclearreactions by measuring the 2-dimensionalposition ((x, y)), energy loss (∆E − E)and time of flight (ToF ) before and afterthe secondary target. The timing informa-tion is collected using 3 plastic membraneswith multi-PMT readout schemes. In thisthesis however, only the DSSSDs will betested, characterized and checked againstthe standard set by the LYCCA TechnicalDesign Report.[10]

The test was carried out at the locallaboratory of the Nuclear Structure Group.The setup has two parts. First, a vacuumchamber containing a radioactive sourceand the LYCCA module itself, the secondpart is the FEBEX readout electronics andthe MBS data acquisition system (DAQ).

All the measurements were performedunder the same conditions. The radioactive source used was Thorium-228, which was placed inthe vacuum chamber and placed at a marked distance 8 cm away from the detector. The 32+32signals (p- and n-side) were connected to two 32-channels Cologne-produced preamplifiers. TheDSSSDs were biased with 50 V coming from a NIM power supply where the leakage current wasalso displayed. The energy signals were connected to four FEBEX3 digitizer cards (operated at50 MHz sampling rate) and the data was read out via an MBS-enabled PC connected with anoptical link. Online data monitoring was done using the GSI Go4 [15] software based on ROOT[14]. Offline data manipulation (peak fitting) was done using Gnuplot [16].

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3.1 The Data Acquisition systemThe Multi Branch System, MBS data acquisition system used here was developed in Darmstadt,

Germany in the experiment electronics department of GSI. In an analog readout system like theone shown in Figure 3.1 the pulses must be shaped before undergoing any further processing. Ananalog-to digital converter, as the name suggests, converts analog signals coming from the shaperto digital signals which are proportional to the height of the input, i.e. the energy deposited intothe detector. The digital signals from the ADC must be sorted, this is done by the Multi-ChannelAnalyser, MCA. In this case the function of an MCA was performed with the use of Go4.

Whenever there is a high detection rate, the pulses may pile up and overlap, as one pulse’s tailmay interfere with the amplitude of another pulse which leads to incorrect results. Most modernDAQs circumvent this by using digitizer cards designed to perform the functions of a shaper andan analog-to-digital converter (ADC). In this case 4 FEBEX3 digitizer cards were employed. Thisallows us to perform signal processing routines directly in the digitized pulses regardless of whetherthey had overlaps or not.

Figure 3.2: Flowchart of a traditional DAQ.

Figure 3.3: A basic MBS system such as the one usedin this experiment.

A FEBEX crate with four FEBEX3cards, each one having 16 differential ana-log inputs. Cards numbered 0 and 1 areconnected to the preamplifier which is inturn connected to the p-side of the de-tector, similarly cards 2 and 3 are con-nected to the preamplifier coming from then-side. This way there are 64 FEBEXchannels, each one corresponding to a sin-gle strip on the DSSSD which produces aspectrum like the one seen in Section 4,Figure 4.2.

A dual power source is used with38 V going into the FEBEX cards as re-quired and 12 V being supplied to the ex-ploder module. Clock distribution, deadtime locking and trigger handling of the system is done bythe EXPLODER card. Figure 3.2 above shows the set-up of the electronics used.

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3.2 The Cologne PreamplifiersIn charge sensitive preamplifiers, such as the ones used in this thesis, the output voltage is

proportional to the charge accumulated at the terminals during a given interval of time. Noise isspecified as the FWHM of the peak purely due to the preamplifier and depends heavily on theinput capacitance, which can come from the detector itself or the surroundings. Another functionthese preamplifiers is supplying the bias voltage to the detector. [5] In this thesis, preamplifiers oftwo different dynamic ranges will be tested: x1 gain and x3 gain. Each detector is connected to 2preamplifiers with 32 channels each. They are manufactured in the Cologne electronics workshopaccording to LYCCA/Lundium specifications. To test the preamplifiers, a pulser is connected intothe test input and the signals are read through a differential output to which an oscilloscope isconnected through a differential probe. This is done to ensure all channels are responsive and thepeaks are amplified appropriately, depending on whether the gain is x1 or x3.

Figure 3.4: A 15/45 MeV gain Cologne manufactured pre-amplifier.

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Chapter 4

Results

The main objective of this bachelor thesis is to extract the energy resolution of each detector,and verify that it is within the specifications such that it qualifies for experimental use at HIS-PEC/DESPEC. The current criteria requires a minimum energy resolution of < 1% with a goal of0.5% and leakage current of less than 2 µA [10], [12].

The energy resolution for a single strip as a function of energy is also obtained. After the datahas been successfully acquired and written to a file, Go4 was used to sort the data and extract the rawspectra of Thorium-228, per strip as well as pixel. These spectra were then calibrated for each stripusing a script in gnuplot to fit a Gaussian curve to 4 alpha decay peaks of energies: 5685keV whichcomes from Radium-224 decaying into Radon-220 , 6288keV caused by its decay into Polonium-216, 6778keV from Polonium-216 to Lead-212, and finally 8784keV from Polonium 212 to Lead-208. This was done for each strip on both (32x) n- and (32x) p- sides for all 10 detectors. Figure4.1 shows the complete decay sequence of Th-228 including the branching ratios. Other peaks ofsignificant probabilities were omitted during calibration due to insufficient energy resolution.

Figure 4.1: The decay sequence of Thorium-228 [17]

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4.1 Energy Resolution

The alpha particles emitted by the Th-228 source are fully stopped by the silicon wafer, whichmakes it a suitable choice for this characterization. Alpha particles of energy 8784 keV are usedto extract the energy resolution per strip. The energy resolution as a function of energy is alsocalculated. A Gnuplot script was used to calibrate spectra such as the one in Figure 4. and wasmodified to output all the necessary information such as sigma for all the peak energies,σ = FWHM/2.355, as well as peak positions in channels. If the centroid of the peak is known,the FWHM can then be calculated for each strip. The energy resolution per pixel is better than perstrip since the incoming particles penetrating the dead layer at different angles experience differentthickness; causing a larger spread in energies collected.

The energy resolution (FWHM) for each strip on both the p-side and n-side at an energy of8784keV were obtained (see Appendix) and were plotted for Wafer-10 in Figures 4.4 and 4.5. 3channels out of 64 were displaying a strange behaviour: channel 8 on FEBEX card 1, which hasbeen removed from the graphs, and channels 12 and 13 on FEBEX card 3, all corresponding tostrips 24, 61 and 62 respectively. It has been verified that this behaviour is attributed to the FEBEXsystem because it is a recurring pattern on all the DSSSDs, and all channels were checked with anoscilloscope to ensure they are responsive and have a comparable amplitude to the other strips.

Figure 4.2: Uncalibrated spectrum of strip number 14 on DSSSD “Wafer-10”. Arrows indicatepeaks used in calibration.

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The calibration function in the form of E = a · ch + b, for each detector can be calculated.Figure 4.3 shows that the energy resolution improves as energy increases. This suggests that theenergy resolution is even better at higher energy physics experiments such as HISPEC.

Plots such as the one in Figures 4.4 and 4.5 show the energy resolution per strip on the p-side as well as n-side. All strips are functional and have an energy resolution of approximately inthe neighbourhood of 1%. Knowing the energy resolution per strip can give insight regarding thepositioning of the detectors in the final setup; i.e. which modules are more suitable to be placedin the center or outer corners of the LYCCA wall. Having a good energy resolution is also anadvantage in minimizing the dead time of the detector. The ending strips also generally displayworse energy resolution than the ones in the middle as seen here; this is due to the fact that thewafers are cut from a larger piece using a laser which can impact the crystal lattice structure of thesilicon. An error estimate for the energy resolution was calculated to be of the order ± 0.0001.

Figure 4.3: Energy resolution as a function of energy for a representative strip (strip number 14)for all DSSSDs

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Figure 4.4: Plot showing the energy resolution per strip of detector “Wafer-10” for the p-side.

Figure 4.5: Plot showing the energy resolution per strip of detector “Wafer-10” for the n-side.

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4.2 Leakage current

DSSSD name Leakage Current (nA)DSSSD N21-3 90DSSSD 21-5 101DSSSD 20-7 147

DSSSD 21-15 200Wafer-5 66Wafer-6 88Wafer-10 104Wafer-12 94Wafer-13 102

Wafer -110 142

Table 4.1: Table displaying leakage current foreach detector at 50V.

A silicon detector behaves like a diode, andreaches saturation point at a certain voltage,known as the depletion voltage. The DSSSDsused here are fully depleted at 50 V [11]; thisis to ensure that they are fully depleted. It isrecommended that the leakage current does notexceed 2 µA, before the detector needs to beannealed. A large leakage current can amongother reasons be attributed to the imperfectionsin the crystal structure of the silicon; whichcan be due to radiation exposure or manufac-turing imperfections. Annealing is a processthat involves supplying thermal energy to theDSSSDs, which allows the dislocated atoms inthe crystal structure to rearrange accordingly.Temperature is also another possible reason foran increased leakage current; however all mea-

surements in this work were performed at room temperature. As seen from Table 4.1 the leakagecurrent does not exceed 2 µA, so annealing was not required.

4.3 Testing the PreamplifiersAs a side investigation, 18 Cologne manufactured preamplifiers were tested using an oscillo-

scope. The two types tested included a 15/45 MeV and 7/21 MeV gain. All of them were confirmedto be fully functional on settings gain x1 as well as x3, and data has been collected from both typesusing a Th-228 source and detector “Wafer-10”, such that the dynamic range can be investigatedfurther.

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Chapter 5

Conclusion and Outlook

Figure 5.1: The detector setup inside the vacuum chamberat the accelerator facility in the University of Cologne

Overall this thesis work con-cluded that all 10 detectors tested arefit for experimental use; and that theenergy resolution is sufficient for theHISPEC campaign. The data showedthat all detectors have an energy res-olution below 1% for alpha particlesat an energy of 8784 keV. Experi-mental conditions such an imperfectvacuum or noise from the electronicsmay have contributed to this result.The energy resolution is also shownto increase with energy, which is anadvantage considering the detectorswill be used in high energy physicsexperiments. The data was calibratedand an error estimate was calculated,however no further error propagationwas performed. The leakage currentswere shown not to exceed 2 µA. Deadlayer thickness per pixel for each ofthe detectors can also be extracted aspart of further characterization, but inorder to do this data from an elec-tron source must be obtained. In to-tal, twenty four modules have been

manufactured with an aim to produce and characterize ten more.Until FAIR is ready to accommodate the LYCCA modules, they are being held at the tandem

accelerator facility in Cologne, where in May 2019, the Hoyle-State of Carbon-12 will be examined.The nucleosynthesis of C-12 undergoes a sequence of events known as the triple alpha process.Under high temperatures and pressures, two Helium atoms fuse together to form Beryllium-8;which is highly unstable with a half life of 6.7 × 10−17s. This means a third alpha particle must

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fuse with Beryllium-8 before it decays in order to produce a stable Carbon-12 nucleus. This seemsto have an extremely small probability of occurring but since Beryllium-8 nucleus needs exactlythe energy equivalent to one more Helium nucleus in order to form the Carbon-12 nucleus, thereis a “resonance” which greatly increases the probability of fusion for a third time. Thus a stableCarbon-12 nucleus is formed in what is referred to as the Hoyle-State. The experiment aims tostudy the geometry of this alpha clusterization with the help of position sensitive detectors such asthese DSSSDs. The configuration of the DSSSD detectors used is shown in Figure 5.1. Twentytwo modules were used in total in an octagonal configuration.

Overall, this thesis aims to highlight both the functionality and importance of LYCCA, andexplore how it works in detection of exotic nuclei.

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[3] Andreas Wendt Isospin symmetry in the sd shell: Coulumb excitation of Ar-33 at relativisticenergies and the new ’Lund-York-Cologne-Calorimeter 2013

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[6] Barann, Anna Sophie; Characterisation of LYCCA ∆E-E-Telescopes; 2013

[7] Namita Goel; accessed April 2019; HISPEC (high-resolution in-flight spec-troscopy)/DESPEC (decay spectroscopy). https://fair-center.eu

[8] Epoxy Technology Inc, 2018; accessed May 2019; Electrically Conductive Silver Epoxy,Technical Data Sheet; www.epotek.com

[9] Dr. Ivan Rusanov; 2014; accessed April 2019; Febex data acquisition system, Experiment-Elektronik GSI, Darmstadt; https://wiki.gsi.de

[10] D Rudolph; LYCCA, theLund-York-CologneCAlorimeter: Identication of reaction productsin HISPEC-DESPEC@NuSTAR; accessed April 2019

[11] P Golubev et. al; The Lund-York-Cologne Calorimeter (LYCCA): Concept, Design andPrototype Developments for a FAIR-NUSTAR Detector System to Discriminate Relativis-tic Heavy- ion Reaction Products; Nuclear Instruments & Methods in Physics Research.Section A: Accelerators, Spectrometers, Detectors, and Associated Equipment; 2013

[12] P. Golubev; Private communication; 2019

[13] Huusko, Alexander; Commissioning of the ∆E-E LYCCA detector array; 2017

[14] Root data analysis framework; accessed April 2019; https://root.cern.ch

[15] Go4 data analysis framework; accessed April 2019; https://gsi.de

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[16] Gnuplot graphing utility; acessed April 2019; http://gnuplot.sourceforge.net

[17] Certificate of calibration alpha standard source; accessed April 2019;https://groups.nscl.msu.edu/hira/

[18] N. Kurz; The General Purpose Data Acquisition System MBS at GSI; 2011; accessed April2019; http://lnr.irb.hr

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Chapter 6

Appendix

Table 6.1: Energy Resolution per strip for detector “Wafer - 12”

Strip number Energy Resolution [%]0 0.9091 1.0042 0.9453 0.9784 0.8645 0.9526 0.9057 0.9238 0.9489 0.87510 0.93411 0.95412 1.03113 1.00314 0.97015 0.999

Strip number Energy Resolution [%]16 0.87617 0.94218 0.94719 0.94720 1.00421 0.86322 0.92223 0.92224 1.84325 0.95826 1.04527 0.93728 0.99429 0.82530 0.90731 1.024

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Strip number Energy Resolution [%]32 0.93933 0.88534 0.89035 0.88536 0.76437 0.86038 0.88639 0.88640 0.89141 0.89142 0.90043 0.77244 0.81445 0.75846 0.75947 0.827

Strip number Energy Resolution [%]48 0.73849 0.80350 0.84351 0.81552 0.78253 0.90454 0.80655 0.79456 0.88157 0.77358 0.77659 0.77660 0.69861 0.84562 0.75463 0.877

Table 6.2: Energy Resolution per strip for detector “Wafer - 5”

Strip number Energy Resolution [%]0 0.9651 0.9202 0.8263 0.7784 0.8155 0.9456 0.8317 0.9698 0.9009 0.98310 0.87411 0.93312 1.05713 0.96214 0.81715 0.949

Strip number Energy Resolution [%]16 0.95417 0.91218 0.90019 0.98320 0.78621 0.91022 0.86023 0.85624 0.87425 0.91426 0.91427 0.94628 0.85029 0.85030 0.78431 0.765

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Strip number Energy Resolution [%]32 0.81233 0.81234 1.82635 0.88436 0.80837 0.76538 0.89439 0.91540 0.88241 0.95942 0.94643 0.89544 0.87845 0.82746 0.87047 1.179

Strip number Energy Resolution [%]48 0.93349 1.34350 0.85151 0.99652 0.99853 0.87554 0.91355 0.94456 1.81757 0.93358 0.93359 0.84560 0.75161 1.02162 0.81663 0.823

Table 6.3: Energy Resolution per strip for detector ”DSSSD 21-15”

Strip number Energy Resolution [%]0 1.0471 0.7742 0.8903 0.8524 1.0115 0.9276 0.7897 0.7818 0.9319 0.86210 0.88811 0.96112 0.86113 0.90314 0.88015 0.826

Strip number Energy Resolution [%]16 0.79217 0.91418 0.84819 0.84820 0.93221 0.81522 0.99723 0.79124 1.83025 0.93826 0.84427 0.79828 0.94929 0.93630 0.81731 0.888

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Strip number Energy Resolution [%]32 0.87133 0.89934 0.90835 0.78936 0.79437 0.78938 0.86839 0.87540 0.85241 0.75742 0.89143 0.83844 0.77245 0.83446 0.82647 0.785

Strip number Energy Resolution [%]48 0.78549 0.76550 0.76751 0.92352 0.86053 0.89654 0.86455 0.79456 0.95157 0.89458 0.89359 0.89760 0.82661 0.71562 1.00763 0.941

Table 6.4: Energy resolution per strip for detector ”DSSSD 20-5”

Strip number Energy Resolution [%]0 0.9301 0.8252 0.8243 0.8554 0.8385 0.8626 0.8947 0.8748 0.8119 0.81210 0.83011 0.84912 0.90213 0.75514 0.83015 0.782

Strip number Energy Resolution [%]16 0.76817 0.86718 0.77419 0.77420 0.89921 0.76322 0.82923 0.82924 1.83025 0.76426 0.92327 0.91228 0.95929 0.95330 0.89731 0.915

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Strip number Energy Resolution [%]32 0.83733 0.83334 0.86935 0.82736 0.74737 0.72738 0.85939 0.75740 0.74441 0.84442 0.84443 0.67644 0.71245 0.73046 0.72047 0.748

Strip number Energy Resolution [%]48 0.74849 0.82150 0.80151 0.78652 0.87153 0.70054 0.75955 0.76056 0.81557 0.82658 0.82859 0.82860 0.97861 0.76962 0.82063 0.819

Table 6.5: Energy Resolution per strip for detector “Wafer 6”

Strip number Energy Resolution [%]0. 1.0621. 0.9032. 0.8843. 0.9684. 0.9085. 0.9066. 0.9507. 1.0338. 0.9399. 0.96810 1.21011 0.96612 0.93613 1.03814 1.09115 1.031

Strip number Energy Resolution [%]16 0.86817 0.97218 0.86419 0.86420 0.94621 0.87722 1.06923 1.06924 1.82325 0.84826 0.98827 0.88728 0.86029 0.88630 0.90931 0.876

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Strip number Energy Resolution [%]32 0.84033 0.99834 0.96835 0.94636 0.96937 0.95438 0.85839 0.85840 0.77041 0.84842 0.83543 0.77844 0.79745 0.86946 0.78347 0.923

Strip number Energy Resolution [%]48 0.89949 0.85050 0.95551 0.81752 0.92753 0.84454 0.77955 0.88956 0.86257 0.90958 0.87559 0.88860 0.92261 1.35162 0.91863 0.756

Table 6.6: Energy Resolution per strip for detector ”DSSSD N21 - 3”

Strip number Energy Resolution [%]0 0.9821 0.7832 0.8563 0.7664 0.8785 0.9896 0.8727 1.0828 0.8669 0.79210 0.87711 0.78012 0.81013 0.97614 0.77715 0.936

Strip number Energy Resolution [%]16 0.98217 0.98618 0.97819 0.81920 0.79121 0.88922 0.96323 0.91924 1.82925 0.98426 0.96927 0.91728 0.95829 0.87330 1.06631 0.851

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Strip number Energy Resolution [%]32 0.79733 0.85034 0.95035 0.85636 0.90337 0.91738 0.82939 0.72240 0.91841 0.71442 0.71443 0.89444 0.85945 0.89046 0.81147 0.786

Strip number Energy Resolution [%]48 0.78649 0.80150 0.89251 0.88952 0.82653 0.82354 0.84155 0.86856 0.72857 0.73158 0.86559 0.86560 0.62061 0.96662 0.77363 0.957

Table 6.7: Energy Resolution per strip for detector “Wafer - 13”

Strip number Energy Resolution [%]0 1.1331 0.9902 0.8873 0.9494 1.0965 0.8736 0.9057 1.0668 0.8529 0.91110 1.02911 0.97012 0.95813 0.96314 0.92815 0.868

Strip number Energy Resolution [%]16 0.99417 1.01118 1.17019 0.99120 1.06121 0.99122 0.97123 0.97124 1.44725 1.12026 1.10627 1.04228 1.03929 1.16630 1.19331 1.267

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Strip number Energy Resolution [%]32 1.40533 1.05534 1.11135 0.93336 1.05237 0.95238 1.13639 1.13640 0.94241 0.94242 0.82743 1.00144 1.02345 0.87846 0.88647 1.077

Strip number Energy Resolution [%]48 0.95349 0.86950 0.86251 0.82452 0.90653 0.87054 0.94555 0.86556 0.99457 0.94958 0.94259 0.94260 0.90261 0.82762 1.10163 0.971

Table 6.8: Energy Resolution per strip for detector “‘DSSSD 21-5”

Strip number Energy Resolution [%]0 0.8231 0.8362 0.8383 0.8344 0.7885 0.8036 0.7657 0.8088 0.7819 0.84710 0.77711 0.77812 0.82113 0.86814 0.81615 0.847

Strip number Energy Resolution [%]16 0.83817 0.86918 0.89119 0.89120 0.77821 0.81422 0.76023 0.76024 1.83025 0.77426 0.89927 0.85128 0.77529 0.81830 0.88431 0.956

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Strip number Energy Resolution [%]32 0.87433 0.90634 0.74935 0.81036 0.84037 0.78338 0.72539 0.72540 0.90541 0.75842 0.75843 0.75444 0.80745 0.72446 0.68547 0.842

Strip number Energy Resolution [%]48 0.84249 0.69650 0.75951 0.81652 0.78453 0.77154 0.71755 0.76356 0.87057 0.87658 0.81559 0.81560 0.73161 0.77562 0.83263 0.830

Table 6.9: Energy Resolution per strip for detector ”Wafer - 110”

Strip number Energy Resolution [%]0 0.8671 0.7722 0.8443 0.8264 0.8005 0.8416 0.8547 0.8398 0.8159 0.86110 0.82511 0.86812 0.85713 0.80614 0.82815 0.768

Strip number Energy Resolution [%]16 0.81217 0.80918 0.89419 0.89420 0.85421 0.79022 0.90323 0.90324 1.83925 0.82326 0.77327 0.78128 0.78829 0.84830 0.87031 0.961

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Strip number Energy Resolution [%]32 0.87533 0.88034 0.70935 0.76636 0.74237 0.82438 0.82939 0.75040 0.80541 0.78942 0.78943 0.84844 0.75645 0.74846 0.71247 0.731

Strip number Energy Resolution [%]48 0.73149 0.78550 0.73851 0.72552 0.78453 0.77954 0.80555 0.76156 0.76257 0.74858 0.75259 0.75260 0.79361 0.64062 0.83163 0.717

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