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Sep 8, 2009, 12:34:54 PM (15 years ago)
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campagne
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  • Selma/PARISROC/parisroc-jinst.tex

    r468 r473  
    11\documentclass{JINST}
    2 %\usepackage{graphicx}
    32\usepackage[pdftex]{graphicx}
    43\usepackage[figuresright]{rotating}
    5 \usepackage[T1]{fontenc}
     4%\usepackage{graphicx}
     5%\usepackage[T1]{fontenc}
    66\usepackage{eurosym}
    7 \usepackage{rotating}
     7%\usepackage{rotating}
     8%\usepackage[dvips]{color}
     9
    810
    911%used explicitly in the text
     
    1517
    1618
    17 \title{Large underground, liquid based detectors for astro-particle physics in Europe: scientific case and prospects}
     19\title{PARISROC, a Photomultiplier Array Integrated Readout Chip.}
    1820%
    1921
    20 \author{First Author$^a$, Second Author$^b$\thanks{Corresponding
     22\author{S. Conforti$^a$, Second Author$^b$\thanks{Corresponding
    2123author.}~ and Third Author$^b$\\
    22 \llap{$^a$}Name of Institute,\\
    23   Address, Country\\
     24\llap{$^a$}Laboratoire de l'Accélérateur Linéaire, IN2P3-CNRS, Université Paris-Sud 11,
     25Bât. 200, 91898 Orsay Cedex, France\\
    2426\llap{$^b$}Name of Institute,\\
    2527  Address, Country\\
    26   E-mail: \email{CorrespondingAuthor@email.com}}
     28  E-mail: \email{conforti@lal.in2p3.fr}}
    2729
    2830
     
    3032
    3133\abstract{
    32 
    33 This document reports on a series of experimental and theoretical studies conducted to
    34 assess the astro-particle physics potential of three future large-scale particle detectors
    35 proposed in Europe as next generation underground observatories.
    36 
     34PARISROC is a complete read
     35out chip, in AMS SiGe 0.35 \begin{math}\mu{}\end{math}m technology
     36\cite{ref1}
     37%[1]
     38, for photomultipliers array. It allows triggerless acquisition for
     39next generation neutrino experiments and it belongs to an R\&D program
     40funded by French national agency for research (ANR) called
     41PMm2: "`Innovative electronics for photodetectors array
     42used in High Energy Physics and Astroparticles"'
     43\cite{ref2}
     44%[2]
     45(ref.ANR-06-BLAN-0186). The ASIC integrates 16 independent and auto
     46triggered channels with variable gain and provides charge and time
     47measurement by a 12-bit ADC and a 24-bit Counter. The charge
     48measurement should be performed from 1 up to 300 pe with a good
     49linearity. The time measurement allowed to a coarse time with a 24-bit
     50counter at 10 MHz and a fine time on a 100ns ramp to achieve a
     51resolution of 1 ns. The ASIC sends out only the relevant data through
     52network cables to the central data storage.
    3753}%end of abstract
    3854
     
    4056%97.60.Bw}
    4157
    42 %\submitto{Journal of Cosmology and Astroparticle Physics}
     58%\submitto{Journal of Instrumentation}
    4359
    4460\keywords{Keyword1; Keyword2; Keyword3}
     
    4864\bibliographystyle{Campagne}
    4965
    50 \section{Physics motivation}
    51 \label{sec:Phys-Intro}
    52 
    53 Our last citation \cite{Genolini:2008uc}.....
    54 
    55 The RMS error is $\sigma$...
    56 
    57 
    58 Several outstanding physics goals could be achieved by the next generation of large underground observatories
    59 in the domain of astro-particle and particle physics, neutrino astronomy and cosmology.
    60 Proton decay \cite{Pati:1973rp}, in particular, is one of the most exciting prediction of Grand Unified Theories
    61 (for a review see \cite{Nath:2006ut}) aiming at the
    62 unification of fundamental forces in Nature. It remains today one of the most relevant open questions
    63 of particle physics. Its discovery would certainly represent a fundamental milestone, contributing to clarifying our
    64 understanding of the past and future evolution of the Universe. 
    65 
     66\section{Introduction}
     67\label{sec:Intro}
     68
     69The PMm2 project: "`Innovative electronics for
     70photodetectors array used in High Energy Physics and
     71Astroparticles"' \cite{ref2}
     72%[2]
     73proposes to segment the large surface of photodetection in macro
     74pixel consisting of an array of 16 photomultipliers connected to an
     75autonomous front-end electronics () and powered by a common High
     76Voltage. These large detectors are used in next generation proton decay
     77and neutrino experiment (i.e. the post-SuperKamiokande detectors as
     78those that will take place in megaton size water tanks) and will
     79require very large surfaces of photo detection and a large volume of
     80data. The micro-electronics group's (OMEGA from the LAL at Orsay)
     81purpose is the front-end electronics conception and
     82realization. This R\&D \cite{ref2}
     83%[2]
     84involves three French laboratories (LAL Orsay, LAPP Annecy, IPN
     85Orsay) and ULB Bruxells for the DAQ. It is funded for three years by
     86the French National Agency for Research (ANR) under the reference
     87ANR-06-BLAN-0186.
     88
     89
     90LAL Orsay is in charge of the design and tests of the readout chip
     91named PARISROC which stands for Photomultiplier ARrray Integrated in
     92Si-Ge Read Out Chip.
    6693
    6794\begin{figure}[htb]
    6895\begin{center}
    69     \includegraphics[scale=0.5]{./test_figs/varvscycle.pdf}
     96\includegraphics[width=0.7\columnwidth]{img0.jpg}
     97\caption{Principal of PMm2 proposal for megaton scale Cerenkov water
     98tank.}
     99\label{fig:1}
    70100\end{center}
    71 \caption{Example of figure PDF}
    72 \label{fig:1}
    73 \end{figure}         
    74 
    75 
    76 
    77 
     101\end{figure}
     102
     103The detectors such as SuperKamiokande, are large tanks covered by a
     104significant number of large photomultipliers (20"),
     105the next generation neutrino experiments will require a bigger surface
     106of photo detection and thus more photomultipliers. As a consequence the
     107total cost has an important relief \cite{ref1}.
     108\begin{itemize}
     109        \item A smaller number of electronics, thanks to the 16 PMTs macropixel with
     110a common electronics, even if it induces more electronic channels;
     111        \item A common High Voltage for the 16 PMTs so a reduced number of
     112underwater cables, cables  that are also used to brought the DATA to
     113the surface;
     114        \item The front-end closed to the PMTs that allow a suppression of
     115underwater connector.
     116\end{itemize}
     117
     118The general principle of PMm2 project is that the ASIC and a FPGA
     119manage the dialog between the PMTs and the surface controller (\refFig{fig:2}).
     120
     121\begin{center}
    78122\begin{figure}[htb]
     123%%\includegraphics[width=0.7\columnwidth]{img1.eps}
     124\caption{Principle of the PMm2 project.}
     125\label{fig:2}
     126\end{figure}
     127\end{center}
     128%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     129\section{PARISROC architecture}
     130\label{sec:PARISROCArchi}
     131The ASIC Parisroc is composed of 16 analogue channels managed by a
     132common digital part (\refFig{fig:3}).
     133
    79134\begin{center}
    80     \includegraphics[scale=0.5]{./test_figs/pulse_snapshot.jpg}
     135\begin{figure}[hbtp]
     136%%\includegraphics[width=0.7\columnwidth]{img2.eps}
     137\caption{PARISROC global schematic.}
     138\label{fig:3}
     139\end{figure}
    81140\end{center}
    82 \caption{Example figure JPEG}
    83 \label{fig:2}
    84 \end{figure}         
    85 
    86 Several experiments have been built and conducted to search for proton decay but they only yielded lower limits to the proton lifetime.
    87 The window between the predicted proton lifetime (in the simplest models typically below $10^{37} $ years) and that excluded
    88  by experiments \cite{Kobayashi:2005pe}
    89 ($O$($10^{33}$) years, depending on the channel) is within reach,
    90 and the demand to fill the gap grows with the progress in other domains of particle physics, astro-particle physics and cosmology.
    91 To some extent, also a negative result from next generation high-sensitivity experiments
    92 would be relevant to rule-out some of the
    93 theoretical models based on SU(5) and SO(10) gauge symmetry or to further constrain the range of allowed parameters.
    94 Identifying unambiguously proton decay and measuring its lifetime would set a firm scale for any Unified Theory, narrowing
    95 the phase space for possible models and their parameters. This will be a mandatory step to go forward
    96 beyond the Standard Model of elementary particles and interactions.
    97 
    98 Another important physics subject is the physics of
    99 %natural (A. Mirizzi 15may07)
    100 astrophysical
    101 neutrinos, as those from supernovae, from the Sun and from the interaction of primary cosmic-rays with the Earth's atmosphere. Neutrinos are above all important messengers from stars.
    102 Neutrino astronomy has a glorious although recent history, from the detection of solar neutrinos
    103  \cite{Davis:1968cp,Hirata:1989zj,Anselmann:1992um,Abdurashitov:1994bc,Smy:2002rz,Aharmim:2005gt,Altmann:2005ix}
    104 to the observation of neutrinos from supernova explosion, \cite{Hirata:1987hu,Bionta:1987qt,Alekseev:1988gp},
    105 acknowledged by the Nobel Prizes awarded to M. Koshiba and R. Davis.
    106 These observations have given valuable information for a better understanding of the functioning
    107 of stars and of the properties of neutrinos. However, much more information could be obtained if the energy spectra of
    108 stellar neutrinos were known with higher accuracy.
    109 Specific neutrino observations could give detailed information on the conditions of the production zone,
    110 whether in the Sun or in a supernova.
    111 A supernova explosion in our galaxy would be extremely important as the evolution mechanism of the collapsed star
    112 is still a puzzle for astrophysics.
    113 An even more fascinating challenge would be observing neutrinos from extragalactic supernovae, either from identified sources
    114 or from a diffuse flux due to unidentified past supernova explosions.
    115 
    116 Observing neutrinos produced in the atmosphere as cosmic-ray secondaries
    117 \cite{Aglietta:1988be,Hirata:1988uy,Hirata:1992ku,Becker-Szendy:1992hq,Daum:1994bf,Allison:1999ms,Ashie:2005ik}
    118 gave the first compelling evidence
    119 for neutrino oscillation \cite{Fukuda:1998mi,Kajita:2006cy}, a process that unambiguously points to the existence of new physics.
    120 While today the puzzle of missing atmospheric neutrinos can be considered solved,
    121 there remain challenges related to the sub-dominant oscillation phenomena. In particular, precise measurements of
    122 atmospheric neutrinos with high statistics and small systematic errors \cite{TabarellideFatis:2002ni}
    123 would help in resolving ambiguities and degeneracies that hamper the interpretation
    124 of other experiments, as those planned for future long baseline neutrino oscillation measurements.
    125 
    126 Another example of outstanding open questions is that of the knowledge of the interior of the Earth. 
    127 It may look hard to believe, but we know much better what happens inside the Sun than inside our own planet.
    128 There are very few messengers that can provide information, while a mere theory is not sufficient for building a credible model for the Earth. However, there is a new unexploited window to the Earth's interior,
    129 by observing neutrinos produced in the radioactive decays of heavy elements in the matter. Until now, only the KamLAND
    130 experiment  \cite{Araki:2005qa} has been able to study these so-called geo-neutrinos opening the way to a completely new
    131 field of research.  The small event rate, however,  does not allow to draw significant conclusions.
    132 
    133 The fascinating physics phenomena outlined above, in addition to other important subjects that we will address in the following,
    134 could be investigated by a new generation of multipurpose
    135 experiments based on improved detection techniques.
    136 The envisioned detectors must necessarily be very massive (and consequently large)
    137 due to the smallness of the cross-sections and to the low rate of signal events,
    138 and able to provide very low experimental background.
    139 The required signal to noise ratio can only be achieved in underground laboratories suitably shielded against cosmic-rays
    140 and environmental radioactivity.
    141 We can identify three different and, to large extent, complementary technologies capable to meet the challenge, based
    142 on large scale use of liquids for building large-size, volume-instrumented detectors
    143 
    144 \begin{itemize}
    145 \item Water Cherenkov.
    146 As the cheapest available (active) target material, water is the only liquid that is realistic for extremely large detectors,
    147 up to several hundreds or thousands of ktons;  detectors have sufficiently good resolution in energy,
    148 position and angle. The technology is well proven, as previously used for the IMB, Kamiokande and Super-Kamiokande
    149 experiments.
    150 
    151 \item Liquid scintillator.
    152 Experiments using a liquid scintillator as active target
    153 provide high-energy resolution and offer low-energy threshold.  They are
    154 particularly attractive for low energy particle detection, as for example solar
    155 neutrinos and geo-neutrinos.  Also liquid scintillator detectors feature a well established technology,
    156 already successfully applied at relatively large scale to the Borexino
    157 \cite{Back:2004zn} and KamLAND \cite{Araki:2004mb} experiments.
    158 
    159 
    160 \item Liquid Argon Time Projection Chambers (LAr TPC).
    161 This detection technology has among the three the best performance in identifying the topology of
    162 interactions and decays of particles, thanks to the bubble-chamber-like imaging performance.
    163 Liquid Argon TPCs are very versatile and work well with a wide particle energy range.
    164 Experience on such detectors has been gained within the ICARUS project \cite{Amerio:2004ze,Arneodo:2001tx}.
    165 \end{itemize}
    166 
    167 Three experiments are proposed to employ the above detection techniques: MEMPHYS \cite{deBellefon:2006vq} for WC,
    168 LENA \cite{Oberauer:2005kw, Marrodan:2006} for liquid scintillator
    169 and GLACIER \cite{Rubbia:2004tz,Rubbia:2004yq,Ereditato:2004ru,Ereditato:2005ru,Ereditato:2005yx} for Liquid Argon.
    170 In this paper we report on the study of the physics potential of the experiments and identify features of complementarity
    171 amongst the three techniques.
    172 
    173 Needless to say, the availability of future neutrino beams from particle accelerators
    174 would provide an additional bonus to the above experiments.
    175 Measuring oscillations with artificial neutrinos (of well known kinematical features)
    176 with a sufficiently long baseline would allow to accurately determine the oscillation parameters
    177 (in particular the mixing angle $\theta_{13}$ and the possible
    178 CP violating phase in the mixing matrix).
    179 The envisaged detectors may then be used for observing neutrinos from the future Beta Beams and Super Beams
    180 in the optimal energy range for each experiment. A common example
    181 %C Volpe 19/10/07 is a low-energy Beta Beam from CERN to MEMPHYS at Frejus, 130 km away
    182 is a Beta Beam from CERN to MEMPHYS at Frejus, 130 km away \cite{Campagne:2006yx}.
    183 High energy beams have been suggested \cite{Rubbia:2006pi},
    184 favoring longer baselines of up to $O$(2000~km).
    185 %add C. Volpe review
    186 An exhaustive review on the different Beta Beam scenario can be found in the reference \cite{Volpe:2006in}.
    187 The ultimate Neutrino Factory facility will require a magnetized detector to fully exploit the simultaneous availability of
    188 neutrinos and antineutrinos. This subject is however beyond the scope of the present study.
    189 
    190 Finally, there is a possibility of (and the hope for) unexpected
    191 discoveries. The history of physics has shown that
    192 several experiments have made their glory with discoveries in research fields that were outside the original goals of the experiments.
    193 Just to quote an example, we can mention the Kamiokande detector, mainly designed to search for proton decay
    194 and actually contributing to the observation of atmospheric neutrino oscillations, to the clarification of the solar neutrino puzzle and
    195 to the first observation of supernova neutrinos \cite{Hirata:1987hu,Hirata:1988ad,Hirata:1989zj,Hirata:1988uy,
    196 Fukuda:1998mi}.
    197 All the three proposed experiments, thanks to their
    198 outstanding boost in mass and performance, will certainly provide a significant potential for surprises and unexpected discoveries.
    199 
    200 %
     141
     142Each analogue channel is made of a low noise preamplifier with
     143variable and adjustable gain. The variable gain is common for all
     144channels and it can change from 8 to 1 on 4 bits. The gain is also
     145tuneable channel by channel to adjust the input detector's gain, up to
     146a factor 4 to an accuracy of 7\% with 8 bits.
     147
     148The preamplifier is followed by a slow channel for the charge
     149measurement in parallel with a fast channel for the trigger output.
     150
     151The slow channel is made by a slow shaper followed by an analogue
     152memory with a depth of 2 to provide a linear charge measurement up to
     15350~pC; this charge is converted by a 12-bits Wilkinson ADC. One follower
     154OTA is added to deliver an analogue multiplexed charge measurement.
     155
     156The fast channel consists in a fast shaper (15~ns) followed by 2 low
     157offset discriminators to auto-trig down to 50~fC. The thresholds are
     158loaded by 2 internal 10-bit DACs common for the 16 channels and an
     159individual 4bit DAC for one discriminator. The 2 discriminator outputs
     160are multiplexed to provide only 16 trigger outputs. Each output trigger
     161is latched to hold the state of the response until the end of the clock
     162cycle. It is also delayed to open the hold switch at the maximum of the
     163slow shaper. An "`OR"' of the 16 trigger gives a 17th output.
     164
     165
     166For each channel, a fine time measurement is made by an analogue
     167memory with depth of 2 which samples a 12-bit ramp, common for all
     168channels, at the same time of the charge. This time is then converted
     169by a 12 bit Wilkinson ADC.
     170
     171The two ADC discriminators have a common ramp, of 8/10/12 bits, as
     172threshold to convert the charge and the fine time. In addition a bandgap bloc provides all voltage references.
     173
     174\begin{center}
     175\begin{figure}[hbtp]
     176%%\includegraphics[width=0.7\columnwidth]{img3.eps}
     177\caption{PARISROC Layout.}
     178\label{fig:4}
     179\end{figure}
     180\end{center}
     181%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     182\subsection{Analogue Channel description and simulations}
     183\label{ssec:AnalogChannel}
     184%%%%%%%%%%%%%%%%%%%%%%%%%%%
     185\refFig{fig:5} represents, in a schematic way, the detail of one channel analogue
     186part.
     187
     188\begin{center}
     189\begin{figure}[hbtp]
     190%%\includegraphics[width=0.7\columnwidth]{img4.eps}
     191\caption{PARISROC one channel analogue part schematic.}
     192\label{fig:5}
     193\end{figure}
     194\end{center}
     195%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     196\subsection{Preamplifier}
     197\label{ssec:Preamplifier}
     198%%%%%%%%%%%%%%%%%%%%%%%%%%%
     199The input preamplifier is a low noise preamplifier with variable gain
     200thanks to the switched input ($C_{in}$) and feedback ($C_f$) capacitors that
     201can be adjusted (\refFig{fig:6}).
     202
     203This gain can vary changing $C_{in}$, which is
     204common to the 16 channels, over 4 bits and $C_{f}$, to adjust preamplifier
     205gain channel by channel. This adjustment allows correction of the PMT
     206gain dispersion due to a use of a common HV.
     207
     208\begin{center}
     209\begin{figure}[htb]
     210        %%\includegraphics[width=0.7\columnwidth]{img5.eps}
     211        \caption{PARISROC preamplifier schematic.}
     212        \label{fig:6}
     213\end{figure}
     214\end{center}
     215
     216The preamplifier is designed as a voltage
     217preamplifier in p-type Cascode structure to allow the acquisition of a
     218fast input signal with a large dynamic range.
     219
     220The input transistor is a PMOS in common source
     221configuration: $W = 800~\mu$m; $L = 0.35~\mu$m; the big input transistor is
     222chosen to keep the preamplifier noise contribution low and to achieve a
     223high gm. It supplies the output (the drain terminal) to the input
     224terminal (source terminal) of the second stage transistor: $W = 100~\mu$m;
     225$L = 0.35~\mu$m; the output transistor must be small to reach preamplifier
     226high speed performances. The utility of the cascode preamplifier is in
     227the large input impedance of the common source (with also the
     228characteristic of Current Buffer) and better frequency response of a
     229common Gate. An output buffer stage is designed in order to adapt the
     230output impedance to the loaded impedance. The input dc level is high
     231(about 2.6~V) while the output dc level is low (about 1~V). Because of
     232the single side structure of preamplifier, it is hard to use the
     233external reference voltage to set the dc operating point; the idea is
     234to use an OTA as the dc feedback amplifier.
     235
     236In  \refFig{fig:7} are shown preamplifier's output waveforms
     237for fixed gain and different input signal (left panel) and for fixed
     238input signal and different preamplifier gain (right panel).
     239
     240\begin{center}
     241\begin{figure}[hbtp]
     242%%\includegraphics[width=0.7\columnwidth]{img6.eps}%%\includegraphics[width=0.7\columnwidth]{img7.eps}
     243\caption{Simulated preamplifier output waveforms for different input
     244signals with fixed gain (left panel) and for fixed input
     245signal at different gain (different input capacitor values (right
     246panel).}
     247\label{fig:7}
     248\end{figure}
     249\end{center}
     250
     251The input signal, used in simulation, is a triangle signal with 4.5~ns
     252rise and fall time and 5~ns of duration as shown in \refFig{fig:8}. This current
     253signal is sent to an external resistor (50~Ohms) and varies from 0 to 5~mA
     254in order to simulate a PMT charge from 0 to 50~pC which represents 0
     255to 300 photo-electrons when the PM gain is $10^{6}$.
     256
     257\begin{center}
     258\begin{figure}[hbtp]
     259%%\includegraphics[width=0.7\columnwidth]{img8.eps}
     260\caption{Simulation input signal.}
     261\label{fig:8}
     262\end{figure}
     263\end{center}
     264
     265The \refFig{fig:9} displays the input dynamic range allowed to the preamplifier
     266linearity performance. \refTab{tab:1} lists the residuals obtained for different
     267gains and shows a good linearity (better than $\pm 1\%$).
     268
     269\begin{center}
     270\begin{figure}[hbtp]
     271%%\includegraphics[width=0.7\columnwidth]{img9.eps}
     272\caption{Preamplifier linearity.}
     273\label{fig:9}
     274\end{figure}
     275\end{center}
     276
     277
     278\begin{table}
     279\centering
     280        \caption{TO BE COMPLETED}
     281        \label{tab:1}
     282\begin{tabular}{|c|c|c|c|}
     283\hline
     284$G_{pa}$ &  $V_{out-max}$ &  $Qi_{max}/n_{pe}$ & Residuals (\%) \\
     285\hline
     286 8 & 1.394~V  & 40~pC/250~pe & -0.6 to 0.2 \\
     287 4 & 0.841~V  & 48~pC/300~pe & -0.1 to 0.3 \\
     288 2 & 0.417~V  & 48~pC/300~pe & -0.2 to 0.3 \\
     289\hline
     290\end{tabular}
     291\end{table}
     292
     293
     294 
     295The \refFig{fig:10} displays the preamplifier noise with an
     296rms value of 13~fC and a Signal to Noise ratio of $\approx 12$.
     297\refTab{tab:2} summarizes the results obtained.
     298
     299\begin{center}
     300\begin{figure}[hbtp]
     301\%%includegraphics{img10.eps}
     302\caption{Preamplifier noise simulation; $G_{pa}=8$; $C_{in}=4$~pF and
     303$C_{f}=0.5$~pF.}
     304\end{figure}
     305\label{fig:10}
     306\end{center}
     307
     308\begin{table}
     309\centering
     310\caption{TO BE COMPLETED}
     311\label{tab:2}
     312\begin{tabular}{|c|c|c|}
     313\hline
     314RMS  & SNR & $V_{out}(1 p.e)$  \\
     315\hline
     316$468~\mu$V ($\approx 1/12$~p.e, $\approx 13$~fC ) & 11.6 & 5.43~mV\\
     317\hline
     318\end{tabular}
     319\end{table}
     320
     321%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     322\subsection{Trigger output}
     323\label{ssec:Trigger}
     324%%%%%%%%%%%%%%%%%%%%%%%%%%%
     325The PARISROC is a self-triggered device. The fast channel has been
     326conceived for this purpose.The amplified signal flows in a fast shaper that is a CRRC filter with
     327a time constant of 15~ns. Its high gain allows to send high signal to
     328the discriminator and thus to trigger easily on 1/3 of photo-electron.
     329It has a classical design: differential pair is followed by a buffer.
     330
     331\begin{figure}[hbtp]
     332\centering
     333%%\includegraphics[width=0.7\columnwidth]{img11.eps}
     334\caption{Fast shaper schematics.}
     335\label{fig:11}
     336\end{figure}
     337
     338The \refFig{fig:12} represents the fast shaper output
     339waveforms for a variable input signal. The \refTab{tab:3} lists the fast
     340shaper principal characteristics obtained in simulation.
     341
     342\begin{figure}[hbtp]
     343\centering
     344%%\includegraphics[width=0.7\columnwidth]{img12.eps}
     345%%\includegraphics[width=0.7\columnwidth]{img13.eps}
     346\caption{Simulated fast shaper outputs ($G_{pa} = 8$ with input from 1-10~pe (left panel) 
     347and from 1/3~pe to 2~pe (right panel).}
     348\label{fig:12}
     349\end{figure}
     350
     351\begin{table}
     352\centering
     353        \caption{To be completed}
     354        \label{tab:3}
     355        \begin{tabular}{|c|c|c|c|}
     356        \hline
     357RMS  & SNR & $V_{out}(1 p.e)$  & $T_p$  \\
     358\hline
     359$2.36~\mu$V ($\approx 1/16$~p.e, $\approx 10$~fC ) & 16 & 37.85~mV & 8~ns\\
     360        \hline
     361        \end{tabular}
     362\end{table}
     363
     364The fast shaper (15~ns) is followed by a low
     365offset discriminator to auto-trig down to 50~fC (1/3~pe at $10^6$ gain).
     366
     367
     368The two discriminators can be used alone or
     369simultaneously. Their outputs are multiplexed to ease the choice. Both
     370are simple low offset comparators with the same schematic. The
     371difference comes from the way to set the threshold. The first
     372discriminator has the threshold sets by one 10-bit DAC, common to all
     37316 channels, and one 4-bit DAC for each channel. The second
     374discriminator has the threshold sets by only the 10 bit common DAC.
     375Each output trigger is latched to hold the state of the response in SCA
     376channel. In  \refFig{fig:13} are shown the triggers and the zoom of the triggers rise
     377time in order to see the time walk of around 4~ns.
     378
     379
     380\begin{figure}[hbtp]
     381\centering
     382%%\includegraphics[width=0.7\columnwidth]{img14.eps}
     383%%\includegraphics[width=0.7\columnwidth]{img15.eps}
     384\caption{Simulated trigger output (input charge from 0 to 10~p.e;
     385threshold at 1/3~p.e). Zoom of trigger rise time on right
     386pannel.}
     387\label{fig:13}
     388\end{figure}
     389
     390Each output trigger is latched to hold the
     391state of the response in SCA channel.  SCA channel is the also called
     392"`Analogue memory"'. The SCA has a
     393depth equal to two; this means that there are two T\&H for time
     394measurement as well as for charge measurement.
     395
     396\begin{figure}[hbtp]
     397\centering
     398%%\includegraphics[width=0.7\columnwidth]{img16.eps}
     399\caption{SCA (switched capacitor array) scheme.}
     400\label{fig:14}
     401\end{figure}
     402
     403The voltage level of the signal coming from
     404slow shaper or ramp TDC cell is memorised in the T\&H capacitor (500~fF)
     405so "`Track \& Hold Cell"' allows
     406to lock the capacitor value only when a calibrated trigger (from fast
     407channel) occurs within the selected column. The SCA column is selected, read and erased by
     408the digital part.
     409
     410\begin{figure}[hbtp]
     411\centering
     412%%\includegraphics[width=0.7\columnwidth]{img17.eps}
     413\caption{Operation of T\&H cell.}
     414\label{fig:15}
     415\end{figure}
     416
     417On  \refFig{fig:15} is illustrated the T\&H cell mode of
     418operation: when a signal arrives in the discriminator cell is detected
     419and the output trigger signal is sent to the T\&H cell.
     420The output trigger is delayed and calibrated before being sent.
     421
     422
     423%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     424\subsection{Charge channel}
     425\label{ssec:Charge}
     426%%%%%%%%%%%%%%%%%%%%%%%%%%%
     427The charge channel is the slow channel: the signal amplified by the
     428variable gain preamplifier is sent to the slow shaper, a typical
     429$\mathrm{CRRC}^2$ filter with variable peaking time. The
     430peaking time can be set from 50~ns (default value) to 200~ns thanks to
     431the switched feedback capacitors.
     432
     433On left part of \refFig{fig:16} are represented the slow shaper waveforms for
     434different shaping times and the same input signal. The noise value (\refTab{tab:4}
     435and right part of \refFig{fig:16}), from $980~\mu$V to $1.6$~mV (simulation results), foresee
     436good noise performance.
     437
     438\begin{figure}[hbtp]
     439\centering
     440%%\includegraphics[width=0.7\columnwidth]{img18.eps}
     441%%\includegraphics[width=0.7\columnwidth]{img19.eps}
     442\caption{Slow shaper output waveforms simulation (left panel). Slow shaper
     443output noise simulation (right panel).}
     444\label{fig:16}
     445\end{figure}
     446
     447\begin{table}
     448\centering
     449\caption{TO BE COMPLETED. $G_{pa} = 8$}
     450\label{tab:4}
     451\begin{tabular}{|c|c|c|c|}
     452\hline
     453Time constant & RMS  & SNR & $V_{out}(1 p.e)$ \\
     454\hline
     45550~ns & \parbox[t]{20mm}{$1.68$~mV \\ $\approx 1/17$~p.e \\ $ \approx 9$~fC}
     456     &  11
     457                        & \parbox[t]{20mm}{$29$~mV \\ $T_p = 48$~ns } \\
     458100~ns & \parbox[t]{20mm}{$1.26$~mV\\$\approx 1/12$~p.e \\ $ \approx 20$~fC}
     459     &  8
     460                        & \parbox[t]{20mm}{$15$~mV \\ $T_p = 78$~ns }\\
     461200~ns & \parbox[t]{20mm}{$0.98$~mV\\$\approx 1/5$~p.e \\ $ \approx 32$~fC}
     462     &  5
     463                        & \parbox[t]{23mm}{$8$~mV \\ $ T_p = 141.5$~ns } \\
     464\hline                 
     465\end{tabular}
     466\end{table}
     467
     468The \refFig{fig:17}  and \refTab{tab:5} illustrate the linearity performance for
     469different time constants.  Simulations show a good linearity with
     470residuals from -0.5\% to 0.2\% at $T_p = 50$~ns, from
     471-1\% to 0.3\% at $T_p =100$~ns and -0.7\% to 0.3\% at
     472$T_p=200$~ns.
     473
     474\begin{figure}[hbtp]
     475\centering
     476%%\includegraphics[width=0.7\columnwidth][width=273pt]{img20.eps}
     477\caption{Slow shaper linearity simulation.}
     478\label{fig:17}
     479\end{figure}
     480
     481\begin{table}
     482\centering
     483\caption{TO BE COMPLETED}
     484\label{tab:5}
     485\begin{tabular}{|c|c|c|c|}
     486\hline
     487Time constante & $V_{out-max}$ & $Qi_{max}/n_{pe}$ & Residuals (\%) \\
     488\hline
     489 50~ns &  1.437~V &  13~pC/80~pe &  -0.5 to 0.2 \\
     490100~ns &  1.493~V &  24~pC/150~pe &  -1.0 to 0.3 \\
     491200~ns &  1.385~V &  48~pC/300~pe &  -0.7 to 0.3 \\
     492\hline
     493\end{tabular}
     494\end{table}
     495
     496The Slow shaper maximum value, therefore the charge value, is then
     497memorized in the analogue memory, with a depth of 2, thanks to the
     498delayed trigger. \refFig{fig:18} gives the simulated slow shaper and SCA
     499signals.
     500
     501\begin{figure}[hbtp]
     502\centering
     503%%\includegraphics[width=0.7\columnwidth][width=207pt]{img21.eps}
     504\caption{Slow shaper \& SCA simulation.}
     505\label{fig:18}
     506\end{figure}
     507This charge, stored as a voltage value, is then converted in digital
     508value thanks to the 8/10/12 bit Wilkinson ADC.
     509
     510%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     511\subsection{Time measurement}
     512\label{ssec:Timemeas}
     513%%%%%%%%%%%%%%%%%%%%%%%%%%%
     514For each channel, a fine time measurement is performed by the analogue
     515memory with a depth of 2 which samples a 12 bit ramp (100~ns), common
     516for all channels, at the same time of the charge.
     517
     518In \refFig{fig:19} is represented the TDC Ramp general schematic. The current,
     519which flows in feedback, charges the capacitance $C_f$ when the switch is
     520off. When the switch is turned off, $C_f$ discharges. Signals \verb|start\_ramp| and
     521\verb|start\_ramp\_b| manage the switches. The rising signal starts the ramp
     522and the falling signal stop the ramp (\refFig{fig:19}).
     523
     524\begin{figure}[hbtp]
     525\centering
     526%%\includegraphics[width=0.7\columnwidth]{img22.eps}
     527%%\includegraphics[width=0.7\columnwidth]{img23.eps}
     528\caption{TDC Ramp general schematic.}
     529\label{fig:19}
     530\end{figure}
     531In order to avoid the large falling time of the ramp due to the $C_f$
     532discharge time and the problem of non linearity at the start and the
     533end of ramp signal (\refFig{fig:20}), the real ramp is created from two
     534ramps.
     535
     536\begin{figure}[hbtp]
     537\centering
     538%%\includegraphics[width=0.7\columnwidth]{img24.eps}
     539\caption{TDC Ramp.}
     540\label{fig:20}
     541\end{figure}
     542
     543The signal start ramp, coming from the digital
     544part, enters in two delay cells. The two delayed signals create the
     545first and second ramps. Commutating alternatively two switches the 100~ns ramp TDC is created
     546(\refFig{fig:21} and \refFig{fig:22}).
     547
     548\begin{figure}[hbtp]
     549\centering
     550%\includegraphics[width=0.7\columnwidth]{img25.eps}
     551\caption{TDC Ramp scheme.}
     552\label{fig:21}
     553\end{figure}
     554
     555\begin{figure}[hbtp]
     556\centering
     557%\includegraphics[width=0.7\columnwidth]{img26.eps}
     558\caption{TDC Ramp simulation.}
     559\label{fig:22}
     560\end{figure}
     561
     562This time value, stored as a voltage value, is then converted in
     563digital value tanks to the 8/10/12 bit Wilkinson ADC.
     564
     565%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     566\subsection{ADC ramp}
     567\label{ssec:ADCramp}
     568%%%%%%%%%%%%%%%%%%%%%%%%%%%
     569In \refFig{fig:23} is represented the Ramp ADC general scheme. It is the
     570same as TDC ramp one, the difference is in a variable current source
     571which allows obtaining 8bit/10bit/12bit ADC according to the injected
     572current. \refTab{tab:6} gives, for each ramp, the time duration to reach 3.3~V.
     573
     574\begin{figure}[hbtp]
     575\centering
     576%\includegraphics{img27.eps}
     577\caption{ADC ramp schematic.}
     578\label{fig:23}
     579\end{figure}
     580
     581\begin{table}
     582\centering
     583\caption{TO BE COMPLETED}
     584\label{tab:6}
     585\begin{tabular}{|l|l|}
     586\hline
     587 Header 1      & Header 2 \\
     588 12 bit ADC & From 0.9~V to 3.3~V in $102.0~\mu{}$s \\
     589 10 bit ADC & From 0.9~V to 3.3~V in $25.6~\mu{}$s \\
     590 \phantom{ }8 bit ADC & From 0.9~V to 3.3~V in $6.4~\mu{}$s \\
     591\hline
     592\end{tabular}
     593\end{table}
     594
     595Then the ADC ramp is compared thanks to a Discriminator to the voltage
     596values, which corresponds to charge and fine time values, stored in the
     597SCA. The digital converted DATA are then treated by the digital part.
     598%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     599\subsection{Digital part}
     600\label{ssec:Digital}
     601%%%%%%%%%%%%%%%%%%%%%%%%%%%
     602The digital part of PARISROC is built around 4 modules which are "`acquisition"', "`conversion"', "`readout"' and "`top manager"'. Actually, PARISROC is based on 2 memories. During acquisition,
     603discriminated analog signals are stored into an analog memory (the SCA:
     604switched capacitor array). The analog to digital conversion module
     605converts analog charges and times from SCA into 12 bits digital values.
     606These digital values are saved into registers (RAM). At the end of the
     607cycle, the RAM is readout by an external system. The block diagram is
     608given on \refFig{fig:24}.
     609
     610
     611\begin{figure}[hbtp]
     612\centering
     613%\includegraphics{img28.eps}
     614\caption{Block diagram of the digital part.}
     615\label{fig:24}
     616\end{figure}
     617
     618This sequence is made thanks to the top manager module which controls
     619the 3 other ones. When 1 or more channels are hit, it starts ADC
     620conversion and then the readout of digitized data. The maximum cycle
     621length is about $200~\mu$s. During
     622conversion and readout, acquisition is never stopped. It means that
     623discriminated analog signals can be stored in the SCA at any time of
     624the sequence shown in on \refFig{fig:25}.
     625
     626\begin{figure}[hbtp]
     627\centering
     628%\includegraphics{img29.eps}
     629\caption{Top manager sequence.}
     630\label{fig:25}
     631\end{figure}
     632
     633The first module in the sequence is the acquisition
     634which is dedicated to charge and fine time measurements. It manages the
     635SCA where charge and fine time are stored as a voltage like. It also
     636integrates the coarse time measurement thanks to a 24-bit gray counter
     637with a resolution of 100~ns. Each channel has a depth of 2 for the SCA
     638and they are managed individually. Besides, SCA is treated like a FIFO
     639memory: analog voltage can be written, read and erased from this
     640memory.
     641
     642
     643\begin{figure}[hbtp]
     644\centering
     645%\includegraphics{img30.eps}
     646\caption{SCA analogue voltage}
     647\label{fig:26}
     648\end{figure}
     649
     650Then, the conversion module converts analog values stored in
     651the SCA (charge and fine time: cf. \`refFig{fig:26}) in digital ones thanks to a 12-bit
     652Wilkinson ADC. The counter clock frequency is 40~MHz, it implies a
     653maximum ADC conversion time of $103~\mu$s
     654when it overflows. This module makes 32 conversions in 1 run (16
     655charges and 16 fine times).
     656
     657Finally, the readout module permits to empty all the registers
     658to an external system. As it will only transfer hit channels, this
     659module will tag each frame with its channel number: it works as a
     660selective readout. The pattern used is composed of 4 data: 4-bit
     661channel number, 24-bit coarse time, 12-bit charge and 12-bit fine time.
     662The total length of one frame is 52 bits. The maximum readout time
     663appears when all channels are hit. About 832 bits of data are
     664transferred to the concentrator with a 10~MHz clock: the readout takes
     665about $100~\mu$s with $1~\mu$s between 2 frames.
     666
     667%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     668\section{ASIC Laboratory tests}
     669\label{sec:ASICLAbTest}
     670%%%%%%%%%%%%%%%%%%%%%%%%%%%
     671The PARISROC has been submitted in June 2008; a first batch of 6 ASICs
     672has been produced and received in January 2009 (a second batch of 14
     673ASICs in May 2009.
     674
     675The ASIC test has been a critical step in the PARISROC planning due to
     676the ASIC complexity.A dedicated test board has been designed and realized for this purpose
     677(\refFig{fig:27}). Its role is to allow the characterization of the chip and the
     678communication between photomultipliers and ASIC. This is possible
     679thanks to a dedicated Labview program that allows sending the ASIC
     680configuration (slow control parameters; ASIC parameters, etc) and
     681receiving the output bits via a USB cable connected to the test board.
     682The Labview is developed by LAL.
     683
     684\begin{figure}[h]
     685\centering
     686%\includegraphics{img31.eps}
     687\caption{Test Board.}
     688\label{fig:27}
     689\end{figure}
     690
     691%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     692\subsection{General tests}
     693\label{ssec:GeneralTest}
     694%%%%%%%%%%%%%%%%%%%%%%%%%%%
     695On  \refFig{fig:28} is shown the Test Bench used in laboratory. It is composed by a
     696test board, a signal generator, an oscilloscope, multimeters and PC to
     697run labview program.
     698
     699\begin{figure}[hbtp]
     700\centering
     701%\includegraphics{img32.eps}
     702\caption{Test Bench.}
     703\label{fig:28}
     704\end{figure}
     705
     706The signal generator is a TEKTRONIX single
     707channel function generator. It is used to create the input charge
     708injected in the ASIC. The signal injected has the shaping as similar as
     709possible to the PMT signal. On \refFig{fig:28} is represented the generator input
     710signal and its characteristics.
     711
     712\begin{figure}[hbtp]
     713\centering
     714%\includegraphics{img33.eps}
     715%\includegraphics{img34.eps}
     716\caption{Input signals}
     717\label{fig:29}
     718\end{figure}
     719
     720At the beginning all the standard electrical
     721characteristics have been tested: DC levels, analogue output signals,
     722the analogue part characteristics and then the pedestals, the DAC
     723linearity, S\-curves (trigger efficiency as a function of the injected
     724charge or the threshold), the ADC linearity. The first purpose is the
     725comparison between simulation results and test measurements; most of
     726them are in agreement with the ASIC characteristics, obtained in
     727simulation.
     728%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     729\subsection{Analogue tests}
     730\label{ssec:AnalogueTest}
     731%%%%%%%%%%%%%%%%%%%%%%%%%%%
     732The DC level characterization is the first step in ASIC
     733characterization; in particular the DC uniformity of the analogue part
     734DC level for the different channels has to be measured.
     735
     736In \refFig{fig:30} are represented the preamplifier, slow
     737shaper and fast shaper DC uniformity plots. The DC uniformity test has a small dispersion
     738of 0.4\%, 0.1\% and 0.05\% respectively for the preamplifier, the slow
     739shaper and the fast shaper (\refTab{tab:7}).
     740
     741\begin{figure}[hbtp]
     742\centering
     743%\includegraphics{img35.eps}
     744%\includegraphics{img36.eps}
     745%\includegraphics{img37.eps}
     746\caption{DC uniformity.}
     747\label{fig:30}
     748\end{figure}
     749
     750\begin{table}
     751\centering
     752\caption{TO BE COMPLETED}
     753\label{tab:7}
     754\begin{tabular}{|l|c|c|c|}
     755\hline
     756DC level & RMS \\
     757Preamplifier & 3.8~mV (0.40~\%) \\
     758Slow shaper  & 1.3~mV (0.10~\%) \\
     759Fast shaper  & 1.0~mV (0.05\%)  \\
     760\hline
     761\end{tabular}
     762\end{table}
     763
     764The second step is the analogue part output signals: Injecting a
     765charge equivalent to 10~pe, and setting a preamplifier gain at 8, are
     766observed and compared with simulation results all the output waveforms.
     767
     768There is a good agreement in preamplifier results ( \refFig{fig:31} and \refTab{tab:8}), the
     769amplitude has the same value while time rise value has a difference of
     7703~ns. This difference is due to the output buffer placed in the test
     771board.
     772
     773\begin{figure}[hbtp]
     774\centering
     775%\includegraphics{img38.eps}
     776%\includegraphics{img39.eps}
     777\caption{Measurement and simulation of the preamplifier output for
     778an input charge of 10~pe.}
     779\label{fig:31}
     780\end{figure}
     781
     782\begin{table}
     783\centering
     784\caption{TO BE COMPLETED. Preamplifier parameters.... $G_{pa} = 8$. WHY not same parameters 1~pe and 10~p.e}
     785\label{tab:8}
     786\begin{tabular}{|l|c|c|}
     787\hline
     788             &  Measurement    & Simulation \\
     789\hline
     790Maximum voltage (10~pe) & 50.00~mV  & 50.83~mV \\
     791Rise time (10~pe) & 7.78~ns & 4.79~ns \\
     792RMS noise &       1~mV       & 0.47~mV \\
     793without USB cable & 0.66~mV  &         \\
     794Noise in pe   & 0.2  & 0.086 \\
     795without USB cable & 0.132 &         \\
     796Maximum voltage (1~pe) & 5.00~mV  & 5.43~mV \\
     797SNR (1~pe ????) & 5 & 11.6 \\
     798without USB cable & 7.5 &         \\
     799\hline
     800\end{tabular}
     801\end{table}
     802
     803The slow shaper waveforms are shown in \refFig{fig:32} while \refTab{tab:9}
     804summarizes the results. The first differences appear: a different value
     805in amplitude for slow shaper signal and fast shaper signal that is
     806probably associate, also, to the Output Buffer. The second relevant
     807difference is in noise value, in particular in slow shaper noise
     808performance (\refTab{tab:9}).
     809
     810\begin{figure}[hbtp]
     811\centering
     812%\includegraphics{img40.eps}
     813%\includegraphics{img41.eps}
     814\caption{Measurement and simulation of the slow shaper output for an
     815input charge of 10~pe.}
     816\label{fig:32}
     817\end{figure}
     818
     819\begin{table}
     820\centering
     821\caption{TO BE COMPLETED. $G_{pa} = 8$ and $RC = 50$~ns.}
     822\label{tab:9}
     823\begin{tabular}{|l|c|c|}
     824\hline
     825             &  Measurement    & Simulation \\
     826\hline
     827Maximum Voltage (10~pe) & 117~mV & 290~mV \\
     828Rise time (10~pe) & 18.0~ns & 19.1~ns \\
     829RMS noise &  4.0~mV & 1.7~mV \\
     830Noise in pe &  0.3 & 0.08 \\
     831Maximum Voltage (1~pe) & 12~mV & 19~mV \\
     832SNR &  3 & 11  \\
     833\hline
     834\end{tabular}
     835\end{table}
     836
     837The Fast shaper results are shown in \refFig{fig:33}
     838and \refTab{tab:10}.
     839\begin{figure}[htb]
     840        \centering
     841%\includegraphics{img73.eps}
     842%\includegraphics{img72.eps}
     843        \caption{Measurement and simulation of the fast shaper output for an
     844input charge of 1 pe.}
     845        \label{fig:33}
     846\end{figure}
     847
     848
     849\begin{table}
     850\centering
     851\caption{TO BE COMPLETED. $G_{pa} = 8$.}
     852\label{tab:10}
     853\begin{tabular}{|l|c|c|}
     854\hline
     855             &  Measurement    & Simulation \\
     856\hline
     857RMS noise &  2.5~mV & 2.4~mV \\
     858Noise in pe &  0.08 & 0.05 \\
     859Maximum Voltage (1~pe) & 30~mV & 42~mV \\
     860SNR &  12 & 18  \\
     861\hline
     862\end{tabular}
     863\end{table}
     864Another important characteristic is the
     865linearity. The output voltage in function of the input injected charge
     866is plotted for the different analogue signals. \refFig{fig:34} gives few examples for
     867the preamplifier at different gains. \refTab{11} summarizes the fit
     868results of these linearities. Good linearity performances are shown by
     869residuals (better than $\pm 2~\%$) value but for a
     870smaller dynamic range than simulation.
     871
     872\begin{figure}[hbtp]
     873\centering
     874%\includegraphics{img42.eps}
     875%\includegraphics{img43.eps}
     876%\includegraphics{img44.eps}
     877\caption{Preamplifier linearity for different gains.}
     878\label{fig:34}
     879\end{figure}
     880
     881\begin{table}
     882\centering
     883        \caption{TO BE COMPLETED}
     884        \label{tab:11}
     885\begin{tabular}{|c|c|c|c|}
     886\hline
     887Preamplifier Gains & Maximum voltage & Charge/Nb of pe & Residuals \\
     888\hline
     8898                  &   0.52~V        & 12~pC / 78~pe & -1.0~\% to 0.8~\% \\
     8904                  &   0.64~V        & 32~pC / 198~pe & -1.0~\% to 1.0~\% \\
     8912                  &   0.51~V        & 50~pC / 312~pe & -2.0~\% to 1.5~\% \\
     892\hline
     893\end{tabular}
     894\end{table}
     895
     896
     897\refFig{fig:35} represents an example of slow shaper
     898linearity for a time constant of 50~ns and  a preamplifier gain of 8
     899with residuals better than $pm 1~\%$.
     900
     901\begin{figure}[hbtp]
     902\centering
     903%\includegraphics{img45.eps}
     904\caption{Slow shaper linearity; $RC =50$~ns and $G_{pa}=8$.}
     905\label{fig:35}
     906\end{figure}
     907
     908\refFig{fig:36} gives an example of the fast shaper linearity until an injected
     909charge of 10~pe. Residuals better than $ \pm 2~\%$
     910are obtained.
     911
     912\begin{figure}[hbtp]
     913\centering
     914%\includegraphics{img46.eps}
     915\caption{Fast shaper linearity up to 10~pe.}
     916\label{fig:36}
     917\end{figure}
     918
     919The preamplifier linearity in function of
     920variable feedback capacitor value with an input charge of 10~pe and
     921with residuals from $-2.5~\%$ to $1.4~\%$ is represented on \refFig{fig:37} . The gain
     922adjustment linearity is nice at 2~\% on 8 bits.
     923
     924\begin{figure}[hbtp]
     925\centering
     926%\includegraphics{img47.eps}
     927\caption{Preamplifier linearity vs feedback capacitor value.}
     928\label{fig:37}
     929\end{figure}
     930
     931On \refFig{fig:38}  is given the gain uniformity. For the
     932different preamplifier gains is plotted the maximum voltage value for
     933all channels in order to investigate the homogeneity among the whole
     934chip, essential for a multichannels ASIC. Residual dispersion of 0.05~\%,
     9350.013~\% and 0.012~\% have respectively been obtained for gain 8, 4 and
     9362.
     937
     938\begin{figure}[hbtp]
     939\centering
     940%\includegraphics{img48.eps}
     941\caption{Gain uniformity for $G_{pa}=8, 4, 2$.}
     942\label{fig:38}
     943\end{figure}
     944
     945%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     946\subsection{DAC linearity}
     947\label{ssec:DAClinearity}
     948%%%%%%%%%%%%%%%%%%%%%%%%%%%
     949The DAC linearity has been measured and it consists in measuring the
     950voltage DAC ($V_{dac}$) amplitude obtained for different DAC register
     951values. \refFig{fig:39} gives the evolution of $V_{dac}$ as a function of the register for the two
     952DACs and residuals from $-0.1~\%$ to $0.1~\%$.
     953
     954\begin{figure}[hbtp]
     955\centering
     956%\includegraphics{img49.eps}
     957%\includegraphics{img50.eps}
     958\caption{DAC linearity; DAC1 and DAC2 respectively.}
     959\label{fig:39}
     960\end{figure}
     961%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     962\subsection{Trigger output}
     963\label{ssec:TriggerMeas}
     964%%%%%%%%%%%%%%%%%%%%%%%%%%%
     965The trigger output behavior was studied scanning the threshold for
     966different injected charges. At first no charge was injected which
     967corresponds to measure the fast shaper pedestal. The result is
     968represented on \refFig{fig:40}  for each channel. The  S-curves
     969are superimposed meaning good homogeneity. The spread
     970is of one DAC count ($LSB DAC = 1.78$~mV) or 0.06~pe.
     971
     972\begin{figure}[hbtp]
     973\centering
     974%\includegraphics{img51.eps}
     975\caption{Pedestal S-curves for channel 1 to 16.}
     976\label{fig:40}
     977\end{figure}
     978
     979The trigger efficiency was then measured for a
     980fixed injected charge of 10~pe. On \refFig{fig:41} are represented the S-curves
     981obtained with 200 measurements of the trigger for all channels varying
     982the threshold. The homogeneity is proved by a spread of 7 DAC unit (0.4~pe) and a noise of 0.07 pe ($RMS =2.19$).
     983
     984\begin{figure}[hbtp]
     985%\includegraphics{img52.eps}
     986%\includegraphics{img53.eps}
     987%\includegraphics{img54.eps}
     988\caption{Fast shaper and trigger (top panel); S-curves for input of 10~pe (left panel);
     989uniformity plot for channel 1 to 16 (right panel).}
     990\label{fig:41}
     991\end{figure}
     992
     993The trigger output is studied also by scanning
     994the threshold for a fixed channel and changing the injected charge. On \refFig{fig:42}
     995on the left panel  is shown the trigger efficiency versus the DAC unit and on
     996the right panel is plotted the threshold versus the injected charge but only
     997until 0.5~pC. From these measurements a noise of 10~fC has been
     998extrapolated. Therefore the threshold is only possible above $10~\sigma$ of the noise due to the discriminator coupling
     999(\refFig{fig:43}).
     1000
     1001\begin{figure}[hbtp]
     1002\centering
     1003%\includegraphics{img55.eps}
     1004%\includegraphics{img56.eps}
     1005\caption{Trigger efficiency vs DAC count up to 300~pe (left panel) and
     1006until 3~pe (right panel).}
     1007\label{fig:42}
     1008\end{figure}
     1009
     1010\begin{figure}[hbtp]
     1011\centering
     1012%\includegraphics{img57.eps}
     1013\caption{Threshold vs injected charge up to 500~fC. It is shown the 1~p.e threshold for a PMT gain of $10^6$.}
     1014\label{fig:43}
     1015\end{figure}
     1016
     1017The trigger coupling illustrated in \refFig{fig:44} with the
     1018injected charge in channel 1 and output signal observed in channel 2,
     1019shows a coupling signal around 25~mV (10~fC). This coupling signal is
     1020due, probably, to the input power supply ($V_{dd-pa}$ and $V_{ss}$).
     1021
     1022\begin{figure}[hbtp]
     1023%\includegraphics{img58.eps}
     1024\caption{Trigger coupling signal.}
     1025\label{fig:44}
     1026\end{figure}
     1027
     1028%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     1029\subsection{ADC characterisation}
     1030\label{ssec:ADCMeas}
     1031%%%%%%%%%%%%%%%%%%%%%%%%%%%
     1032The ADC performance has been studied alone and with the whole chain. Injecting to the
     1033 ADC input directly a DC voltage by the internal DAC,
     1034in order to have a voltage level as stable as possible, were measured
     1035the ADC values for all channels (\refFig{fig:45}).
     1036
     1037The measurement is repeated 10000 times for
     1038each channel and in the first plot of the LabView front panel window (\refFig{fig:45}). The
     1039minimal, maximal and mean values, over all acquisitions, for each
     1040channel are plotted. In the second plot there is the rms charge value
     1041versus channel number with a value in the range $[0.5, 1]$ ADC unit.
     1042Finally the third plot shows an example of charge amplitude
     1043distribution for a single channel: a spread of 5 ADC counts is
     1044obtained.
     1045
     1046\begin{figure}[hbtp]
     1047\centering
     1048%\includegraphics{img59.eps}
     1049\caption{ADC measurements with DC input 1.45~V (middle scale).}
     1050\label{fig:45}
     1051\end{figure}
     1052
     1053The ADC is suited to a multichannel conversion
     1054so the uniformity and linearity are studied in order to characterize
     1055the ADC behaviour. On \refFig{fig:46} is represented the ADC transfer function for the
     105610-bit ADC versus the input voltage level. All channels are represented
     1057and have plots superimposed.
     1058
     1059\begin{figure}[hbtp]
     1060\centering
     1061%\includegraphics{img60.eps}
     1062\caption{10  bits ADC transfer function vs input charge.}
     1063\label{fig:46}
     1064\end{figure}
     1065
     1066The good homogeneity observed is confirmed by
     1067the linear fit parameters comparison. In  are plotted the slope and the
     1068intercept distributions for all channels. The RMS slope value of 0.143
     1069and the RMS intercept value of 0.3 confirm the 10-bits ADC uniformity
     1070(\refTab{tab:12}).
     1071
     1072\begin{figure}[hbtp]
     1073\centering
     1074%\includegraphics{img61.eps}
     1075%\includegraphics{img62.eps}
     1076\caption{Evolution of the fit parameters (slope on the
     1077left panel and intercept on the right panel) as a function of the channel
     1078number.}
     1079\label{fig:47}
     1080\end{figure}
     1081
     1082\begin{table}
     1083\centering
     1084\caption{TO BE COMPLETED. 10 bits ADC parameter fits.... 25 acquisitions per channel, $LSB = 1.06$~mV...}
     1085\label{tab:12}
     1086\begin{tabular}{|l|c|c|}
     1087\hline
     1088   & Slope      & Intercept \\
     1089Mean & 936.17   & 859.8 \\
     1090RMS  & 0.14     & 0.3   \\
     1091\hline
     1092\end{tabular}
     1093\end{table}
     1094
     1095In \refFig{fig:48} are shown respectively the 12, 10 and 8 bits ADC
     1096linearity plots with the 25 measurements made for each input voltage
     1097level. The average ADC count value is plotted versus the input signal.
     1098The residuals from $-1.5$ to $0.9$ ADC units for the 12-bits ADC; from $-0.5$
     1099to $0.4$ for the 10-bit ADC and from $-0.5$ to $0.5$ for the 8-bit ADC. This prove
     1100the good ADC behaviour in terms of Integral non linearity.
     1101
     1102\begin{figure}[hbtp]
     1103%\includegraphics{img63.eps}
     1104%\includegraphics{img64.eps}
     1105%\includegraphics{img65.eps}
     1106\caption{12, 10, 8 bit ADC linearity.}
     1107\label{fig:48}
     1108\end{figure}
     1109In terms of Differential non linearity, the
     1110value from $-1.0$ to $0.65$ for the 10 bit ADC and from $-0.3$ to $0.2$ for the 8
     1111bit ADC, show us a good behaviour even if the plots are the results of
     1112preliminary measurements.
     1113
     1114\begin{figure}[htb]
     1115%\includegraphics{img66.eps}
     1116%\includegraphics{img67.eps}
     1117\caption{Differential non linearity.}
     1118\label{fig:49}
     1119\end{figure}
     1120
     1121Once the ADC performances have been tested
     1122separately, the measurements are performed on the complete chain. The
     1123results of the input signal autotriggered, held in the T\&H and
     1124converted in the ADC are illustrated in  where are plotted the 10-bit
     1125ADC counts in function of the variable input charge (up to 50~pe). A
     1126good linearity of $1.4~\%$ and a noise of 6 ADC units are obtained. In \refTab{tab:13}
     1127are listed the setting value for measurements.
     1128
     1129\begin{table}
     1130        \centering
     1131        \caption{TO BE COMPELTED. $G_{pa}=14$ ($C_{in}=7$~pF , $C_f=0.5$~pF),
     1132Slow shaper $RC=50$~ns,
     1133DAC delay: $bit<0> = 1$ \& $bit<2> = 1$.
     1134}
     1135        \label{tab:13}
     1136\begin{tabular}{|l|c|c|c|}
     1137\hline
     1138Parameters & 12 bits ADC & 10 bits ADC & 8 bits ADC\\
     1139\hline
     1140LSB         & $0.27$ & $1.06$~mV  & $4.26$~mV\\
     1141Min ADC count at 3~pe& $509$ &  $132$ & $33$  \\
     1142Max ADC count at 50~pe & $3873$ &  $989$ & $241$ \\
     1143Residuals in ADC units &$[21,54]$ & $[6,14]$  & $[2,3]$ \\
     1144\hline
     1145\end{tabular}
     1146\end{table}
     1147
     1148\begin{figure}[hbtp]
     1149\centering
     1150%\includegraphics{img68.eps}
     1151\caption{10 bit ADC linearity.}
     1152\label{fig:50}
     1153\end{figure}
     1154
     1155On \refFig{fig:51} is plotted the 8-bit linearity at $1.4~\%$
     1156and a noise of 1.53 ADC unit. In \refTab{tab:13} are listed the setting value for
     1157measurements.
     1158
     1159\begin{figure}[hbtp]
     1160\centering
     1161%\includegraphics{img69.eps}
     1162\caption{8 bit ADC linearity.}
     1163\label{fig:51}
     1164\end{figure}
     1165
     1166On  \refFig{fig:53} is plotted the 12-bit linearity
     1167at $1.4~\%$ and a noise of 23.69 ADC unit. In \refTab{tab:13} are listed the setting
     1168value for measurements.
     1169
     1170\begin{figure}[hbtp]
     1171%\includegraphics{img70.eps}
     1172\caption{12 bit ADC linearity.}
     1173\label{fig:52}
     1174\end{figure}
     1175
     1176%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
     1177\section{Measurements with PMTs}
     1178\label{sec:MeasWithPMT}
     1179%%%%%%%%%%%%%%%%%%%%%%%%%%%
     1180The first measurements with a photomultiplier at input are started in
     1181IPNO at Orsay.
     1182
     1183\begin{figure}[hbtp]
     1184\centering
     1185%\includegraphics{img71.eps}
     1186\caption{TO BE COMPLETED}
     1187\label{fig:53}
     1188\end{figure}
     1189
    2011190\acknowledgments
    2021191%\begin{acknowledgments}
    203 
    204 We wish to warmly acknowledge support from all the various funding agencies.  We wish to thank the EU framework 6 project ILIAS for providing assistance particularly regarding underground site aspects (contract 8R113-CT-2004-506222).
    205 
     1192This work, especially one of the author, is supported by the National Reasaerch Agency under contract ANR-06-BLAN-0186.
    2061193%\end{acknowledgments}
     1194%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    2071195\newpage
    208 \section*{References}
     1196%\section*{References}
    2091197\bibliography{campagne}
    2101198\end{document}
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