154 lines
7.6 KiB
TeX
154 lines
7.6 KiB
TeX
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The measurement of neutron emission after muon capture proposes to use
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an Al target of sufficient width and depth to capture and stop all
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muons from the low momentum beam incident on the target. The emitted
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neutrons are to be detected with counters using pulse shape discrimination,
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as described below, with detector readout is triggered by muon entry
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into the target. The number of captured muons is given
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by counting the muonium x-rays, as described previously. A beam rate
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of a few kHz prevents signal overlap in the detector(s) and
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provides a sufficient statistical sample in a few days.
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\subsection{Simulation}
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A particle emission simulation was obtained using the FLUKA simulation
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code, version FLUKA2011.2..
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The model uses a thick, cylindrical target of pure Al. The incident
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low energy muon is completely stopped in the target, and is captured in an atomic orbit. The captured muons
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are then allowed to decay in orbit (DIO) or capture in the Al nucleus
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with nucleon emission, as well as photons and a muon neutrino.
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%All
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%particles are counted as they are produced, and lepton flavor and
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%energy are conserved.
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The simulation of the energies of the neutron, proton, and gamma
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particles emitted after $\mu$ capture in Al is shown in Figure
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~\ref{part_rates}. Emission from a Si target is similar.
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The Si target does have approximately 25\% more gamma
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emission, with the excess gammas at very low energies. The simulation
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produces a ratio, 0.57, of gammas
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above 0.5 Mev per $\mu$ capture, and a ratio, 0.72, of gammas
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per emitted neutron. The correlation between neutron and gamma
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emission is shown in a correlation plot of neutron vs gamma energy in
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Figure ~\ref{n_gamma_corr}. In this plot the highest neutron energy is
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plotted against the highest gamma energy, so multiplicities are
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not counted. The simulated spectrum only includes prompt
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photons. \\
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\begin{figure}[htb!]
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\begin{center}
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\begin{minipage}{7.cm}
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\includegraphics[width=6.5cm] {figs/part_rates.eps}
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\caption{\label{part_rates}
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The FLUKA simulated spectrum for proton(red), neutron(blue), and
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gamma(black) emission per $\mu$ stop after $\mu$ capture on Al}
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\end{minipage}
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\parbox{0.3 cm}{ }
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\begin{minipage}{8. cm}
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\includegraphics[width=7.5 cm, angle=0]{figs/n_gamma_corr.eps}
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\caption{\label{n_gamma_corr} A FLUKA simulation of the energy
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correlation between neutron (vertical) and prompt gamma (horizontal)
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emission after $\mu$ capture on Al}
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\end{minipage}
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\end{center}
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\end{figure}
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\subsection{Determination of the Neutron Spectrum}
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While we are still evaluating the possibility of
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the neutron TOF measurement to determine the neutron energy distribution, we
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propose the use of neutron spectrum unfolding techniques
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\cite{KoohiFayegh2001391}. The information used in this method requires the
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measured pulse energy for each detector hit and a detector response
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function, $R(E, E')$. For a neutron energy
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spectrum $\phi(E)$, the measured detector response $N(E')$ is given
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by:
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\begin{equation}
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N(E') = \int_E R(E, E') \cdot \phi(E)\, \textrm{d}E,
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\end{equation}
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If $R(E,E')$ is well known, the neutron energy spectrum can be
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obtained by unfolding the measured energy distribution
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with $R(E, E')$. In this method, the TOF is not used but only the
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pulse integral to obtain $N(E')$ of the neutrons coming from the
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target. Therefore, the detector can be moved closer to the muon
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stopping target when compared to the TOF method.\\
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Response function, $R(E, E')$, measurements with known neutron energy
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distributions spanning the entire energy range of interest, have to be
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obtained. This can be achieved with a combination of different neutron
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sources, specific reactions with emission of
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mono-energetic neutrons, or measurements at facilities with neutrons of
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known energy distribution. We will explore the optimal choice such
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input measurements over the next weeks in order to calibrate $R(E,
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E')$ prior to mounting the experiment at PSI. We have had
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initial
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discussions with the TUNL facility on this matter. While it would
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be advantageous to
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measure $R(E, E')$ ahead of running the experiment, we could still
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proceed with the
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measurements at PSI if $R(E, E')$ was not fully quantified.\\
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Over the course of the next weeks, we intend to test existing unfolding
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codes \cite{KoohiFayegh2001391} with Monte Carlo generated input test
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distributions $\phi(E)$ and typical detector
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response functions $R(E, E')$. We also intend to study the influence of the
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knowledge of $R(E,E')$ on the precision with which the neutron energy
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spectrum can be extracted.
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\subsubsection{Neutron detectors and readout}
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We propose to use at least one of the six identical
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neutron counters from the MuSun
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experiment\footnote{http://muon.npl.washington.edu/exp/MuSun/}. These
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counters are cylindrical cells of 13~cm diameter by 13~cm depth and
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contain approximately 1.2~liters of BC501A organic scintillator. The
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cell is coupled to a 13~cm diameter photo-multiplier tube. For
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comparison, we might also employ one of the two home made neutron
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detectors which were built by Regis University. While they are similar
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in size to the six BC501A ones, these detectors are filled with the
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EJ-301 and EJ-309 liquid scintillator, respectively. However, there
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are no major differences in the three types of available detectors. \\
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Any of these detectors would use 12-bit, 170 MHz custom-built waveform
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digitizers, and an eight channel board from the MuSun experiment is
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available. Each board can sustain data rates of a few MB/s before loss
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of data packages occurs. While the expected neutron rates are well below
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this limit, additional background
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rates in the experimental hall can be suppressed by sufficient
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shielding around the detector. Fig. \ref{fig:neutronFADC} shows a
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typical, digitized signal from one of the BC501A neutron detectors with
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5.88\,ns binning (170 MHz). The full digitization of each signal
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allows separation of neutrons from gammas by means of pulse shape
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discrimination (PSD). The two dimensional plot in
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Fig.~\ref{fig:neutronPSD} of the so-called slow integral (the sum of
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the bins 5 to 20 to the right of the signal peak in
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Fig.~\ref{fig:neutronFADC}) versus the total integral reveals two
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distinct bands. The lower band are $\gamma$'s mainly from the
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background in experimental hall whereas the upper band is composed of
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the neutrons. Both integrals are expressed in terms of the
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electron-equivalent energy which were obtained from calibrations with
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$^{60}$Co and $^{137}$Cs sources.
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\begin{figure}[htb!]
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\subfigure[\label{fig:neutronFADC}]{\includegraphics[width=0.49\textwidth]{figs/NeutronFADC.png}}\hfill
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\subfigure[\label{fig:neutronPSD}]{\includegraphics[width=0.49\textwidth]{figs/nd14_peak.pdf}}
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\caption{a) Digitized signal from a BC501A neutron detector (x-axis in
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ns). b) Neutron-gamma separation via pulse shape discrimination. The
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slow integral corresponds to the sum of the bins 5 to 20 to the right
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of the peak of the digitized signal. The lower band contains $\gamma$s and
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the upper band the neutrons.}
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\vspace{-2mm}
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\end{figure}
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The PSD analysis of the fully digitized neutron signals has been
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successfully employed in the MuSun experiment. The distance between
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the neutron and the $\gamma$ peaks divided by the sum of their FWHM
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defines the figure of merit $M$. A higher value of $M$ indicates a
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better performance. It should be mentioned that the waveform
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digitizer board was optimized for these neutron detectors by fine
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tuning a low-pass filter on the analog input. This led to a
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significant improvement of the figure of merit $M$. Currently $M=1$ is
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achieved at an electron-equivalent energy of 200 keV corresponding to
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a neutron energy of about 0.7\,MeV (MuSun analysis, see also
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\cite{Nakao1995454}).
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