From 2cd74e5df73e7248725bf269b96dddf28dcaf8cc Mon Sep 17 00:00:00 2001 From: gondiaz Date: Thu, 26 Jan 2023 12:35:47 +0100 Subject: [PATCH] Add detsim city documentation --- docs/source/detsim.rst | 298 ++++++++++++++++++- docs/source/images/detsim/fastsim_output.png | Bin 0 -> 183695 bytes docs/source/images/detsim/fullsim_output.png | Bin 0 -> 128674 bytes docs/source/images/detsim/parameters.png | Bin 0 -> 127389 bytes docs/source/images/detsim/workflow.png | Bin 0 -> 174871 bytes 5 files changed, 296 insertions(+), 2 deletions(-) create mode 100644 docs/source/images/detsim/fastsim_output.png create mode 100644 docs/source/images/detsim/fullsim_output.png create mode 100644 docs/source/images/detsim/parameters.png create mode 100644 docs/source/images/detsim/workflow.png diff --git a/docs/source/detsim.rst b/docs/source/detsim.rst index 5507ef2..9f512cc 100644 --- a/docs/source/detsim.rst +++ b/docs/source/detsim.rst @@ -1,5 +1,299 @@ Detsim ========== -.. caution:: - This page is currently not created, we are working on it. If you would like to contribute on this documentation, reach `me `_! +**Detsim**, from **Detector Simulation**, is a the city that simulates the *detector response* for *fast-simulated* events. +A *fast-simulated* event consist of a collection of hits of position and energy desposition in the gaseous volume (left figure below). The *detector response* are the signals measured in the light-sensors in the form of time ordered waveforms (right figure below). + +We can differenciate two simulation modes implemented in NEXUS: the +full-simulation and the fast-simulation. In what follows, *primary +particles* are defined as the particles of the simulated event. The rest +of the particles produced in the simulation would be considered as +*secondary particles*. For example, :math:`0\nu\beta\beta` primary +particles are :math:`e^+ e^-`. Ionization electrons, scintillation +photons, and EL photons are secondary particles. The simulation modes +are described below. + +**Full-Simulation:** In this mode the propagation of all particles +(primary and secondary) is carried out until they reach the sensors. +Particles are considered as individual entities with a unique ID-number, +making it possible to trace their interactions throughout the detector. +Therefore the overall simulation would be composed by the simulation of +each individual particle. This is a CPU-time-consuming task, growing +with the number of particles involved, which scales with the energy of +the simulated event. Since each of the emitted photons is also +simulated, the final result of the simulation will be a number of +photons arriving at the photo-sensors. The output of the simulation is +given as zero-suppressed time histograms with the photo-electrons +generated in each sensor (left figure). This simulation mode is +both CPU-time-consuming and memory demanding, with a time-scale on the +order of 2 min to simulate a 41.5 keV :math:`^{83m}`\ Kr event and > 1 +hour for a :math:`Q_{\beta\beta} \sim 2.5` MeV event. The advantage of +this simulation mode is its extreme detail and that its outcome is the +actual signal measured at the light sensors. + +**Fast-Simulation:** In this mode the simulation is stopped after the +creation of the ionization electrons and scintillation photons. The +ionization electrons and scintillation photons are produced by the +direct propagation of primary particles, or by secondary particles +emitted by the primaries, like delta electrons or bremsstrahlung that +subsequently interact. Once they are created, the simulation stops, and +neither drift nor light propagation is simulated. The ionization +electrons and scintillation photons created are collected in voxels of a +certain volume (usually around 1x1x1 mm\ :math:`^3` voxels). Each voxel +represents an energy deposition, a so-called *hit*, and is characterized +by a 3D position :math:`\boldsymbol{r} = (x, y, z)`, the energy +:math:`E` required to produce them, and the delay time :math:`t` from +the start of the event (right figure). The +collection of hits for a given even is saved, defining a *track* in the +detector’s active volume. The fast-simulation is very fast compared with +the full-simulation mode, on the :math:`\mu s` scale. However, since the +simulation is stopped we do not know the signal that would be measured +at the sensors. + +.. image:: images/detsim/fullsim_output.png + :width: 40% + +.. image:: images/detsim/fastsim_output.png + :width: 40% + + +.. _Detsim input: + +Input +----- + +Detsim input are NEXUS fast simulation tracks, these files must contain only the following non-empty information. + + * ``/MC/hits`` + +.. _Detsim output: + +Output +------ + + * ``/MC/``: the data in the nexus input file is copied in the output file + * ``/Run/event_map``: mapping between nexus event id and IC event id. This mapping is needed because **detsim** might split nexus events into multiple IC events + * ``/Run/events``: IC event number and simulated timestamps based on **rate** configuration parameter + * ``/Run/runInfo``: run number of each event + * ``/pmtrd``: the PMT waveforms for each PMT + * ``/sipmrd``: the SiPM waveforms for each SiPM + * ``/Filters/active_hits``: nexus events without hits inside the active volume are filtered + +.. _Detsim config: + +Config +------ + +.. container:: + :name: tab:detsim-parameters + + .. table:: List of **detsim** parameters used at each stage of the algorithm. + + =================== ========================================== + \ Parameter + =================== ========================================== + Electron simulation inverse ionization yield :math:`w_{io}` + \ fano-factor :math:`F` + \ drift velocity :math:`v_d` + \ lifetime :math:`\tau` + \ diffusion :math:`D_L`, :math:`D_T` + Photon simulation inverse scintillation yield :math:`w_{sc}` + \ EL gain :math:`G_{EL}` + \ conde-policarpo factor :math:`J_{CP}` + Signal simulation EL drift velocity :math:`v^{EL}_d` + \ S1 Light Tables + \ S2 Light Tables + \ point spread function (PSF) + Waveform creation pre-trigger time + \ buffer length + \ PMT waveforms bin width + \ SiPM waveforms bin width + =================== ========================================== + + +Workflow +-------- + +The city flow parts are shown in the diagram + +.. image:: images/detsim/workflow.png + :width: 80% + + +**Hits filtering**. Hit position determines in which region of the +detector the energy deposition occurs. Energy depositions, ie ionization +electrons, can only be created in the gaseous part of the detector which +is composed by the *active*, *buffer* and EL regions. The ionization +electrons drift towards the EL only if they are produced in the active +region, therefore only hits at this region are selected in the S2 +simulation. On the other hand, scintillation photons can be emitted and +produce signal from anywhere inside the gas, thus the S1 simulation +keeps all the hits in the active and buffer regions. Hits in the +EL-region are removed to avoid duplication of S1 and S2 LTs and +implementation complications. This is a good approximation since the S1 +of tracks with hits in the EL-region is overlapped with the subsequent +S2, and the event would be reconstructed anyway as an no-S1 event. + +**Electron simulation**. This step starts by computing the ionization +electrons produced in each hit, which is the value of the hit energy +divided by the inverse ionization yield :math:`w_{io}`. Defining +:math:`n=E/w_{io}`, the number of ionization electrons in a hit +:math:`n'_{ie}` is simulated following the distribution + +.. math:: + + n'_{ie} \sim + \begin{cases} + \text{Pois}(n) & \text{if} ~ n F < 1 \\ + \text{Gauss}(\mu=n, \sigma=\sqrt{n F}) & \text{if} ~ n F \geq 1 + \end{cases}, + +motivated by the definition of the fano-factor :math:`F`. Next the +electrons are drifted toward the EL region. During the drifting some of +the electrons are absorbed due to impurity attachment, a process +described by an exponential with characteristic lifetime :math:`\tau`. +Or equivalently, the time it takes the drifting electrons to be absorbed +:math:`t_{abs}` is given by + +.. math:: + + t_{abs} \sim \text{Exp}(\lambda = \tau^{-1}). + \label{eq:detsim-absorption-time} + +Then the number of electrons that survive :math:`n_{ie}` can be computed +by + +.. math:: + + n_{ie} = \sum_{i=1}^{n'_{ie}} + \begin{cases} + 1 & \text{if} ~ t_{abs}^i < t_{drift} \\ + 0 & \text{if} ~ t_{abs}^i \geq t_{drift} + \end{cases}, + +where :math:`t_{drift}=z/v_{d}` is the time it takes to the ionization +electrons produced at :math:`z` to reach the gate with drift velocity in +the active volume :math:`v_d`. The last electron physical process to +simulate is the diffusion, characterized by the longitudinal and +transverse diffusion coefficients :math:`D_{L}` and :math:`D_{T}` +respectively. The position of each electron arriving at the gate is +diffused following + +.. math:: + + \begin{aligned} + X_{diff}&\sim\text{Gauss}(x,~D_{T}\sqrt{z}),\\ + Y_{diff}&\sim\text{Gauss}(y,~D_{T}\sqrt{z}),\\ + Z_{diff}&\sim\text{Gauss}(z,~D_{L}\sqrt{z}).\end{aligned} + +where :math:`x, y, z` are the initial position of the electrons, ie the +hit position in which they are created. + +**Photon simulation**. The S1 photons are generated from the initial +hits through the inverse scintillation yield :math:`w_{sc}` + +.. math:: n_{S1} \sim \text{Pois}(E/w_{sc}) + +The S2 photons are computed using the number of ionization electrons +arriving at the EL :math:`n_{ie}`, + +.. math:: n_{S2} \sim\text{Gauss}\left(n_{ie}G_{EL}, \sqrt{n_{ie}G_{EL}J_{CP}}\right), + +where :math:`G_{EL}` is the EL gain (number of photons emitted by a +single electron) and :math:`J_{CP}` is the conde-policarpo factor. + +**Signal simulation**. In this stage we compute the photon-electrons +(pes) measured in each sensor and their arrival times. The treatment is +different for S1 and S2 signals and also for PMTs and SiPMs. + +*S1*. In the photon simulation block, we computed the number of +scintillation photons produced by each hit. By the definition of the S1 +LT, the number of photo-electrons generated by the scintillation photons +at :math:`x, y, z` is given by + +.. math:: + + S_{S1}(\text{PMT}) \sim \text{Pois}(n_{S1} \times \text{LT}_{S1}(x, y, z|\text{PMT})). + \label{eq:poisson-S1} + +The next step is to simulate the arrival time of the photons to the +sensors, which is given by + +.. math:: + + t_{arrival} = t + t_{decay} + t_{travel} + \label{eq:s1-tarrival} + +where :math:`t` is the hit production time, :math:`t_{decay}` the +scintillation decay time and :math:`t_{travel}` is the time it takes the +photons to go from the hit position to the particular PMT. The travel +time is neglected in detsim since its simulation would require a +complete photon propagation. The photon travel time is in fact +negligible compared to the drift time of the ionization electrons that +produce the S2, thus we can safely omit it (recall that S1 is used to +compute the drift time of the event, namely its longitudinal position). +The decay time is simulated for xenon using its fast and slow +scintillation components given by + +.. math:: t_{decay} \sim 0.1 ~ \text{exp}(-t/\tau_{f}) + 0.9 ~ \text{exp}(-t/\tau_{s}) + +where :math:`\tau_{f} = 4.5~\text{ns}` and +:math:`\tau_{s} = 100~\text{ns}` are the fast and slow scintillation +decay times, respectively. For each measured photo-electron, a +:math:`t_{arrival}` is computed. The total S1 signal would be given by +the time histogram of the arrival times for the generated +photo-electrons. The S1 signal at the SiPMs is not simulated. + +*S2*. The computation of the number of photo-electrons in the PMTs is +similar to that of the S1, + +.. math:: S_{S2}(\text{PMT}) \sim \text{Pois}(n_{S2} \times \text{LT}_{S2}(x, y|\text{PMT})), + +but the arrival times are treated differently. The arrival time will be +given by the sum of the production time, the drift time and the EL +emission time, + +.. math:: t_{arrival} = t + t_{drift} + t_{EL}. + +The drift time is given by :math:`t_{drift}=z/v_{d}`. The :math:`t_{EL}` +is the emission time at the EL gap. Assuming that photons are emitted +uniformly throughout the EL gap, + +.. math:: t_{EL} \sim \text{Uniform} \left( 0, T_{EL} \right) \quad \text{with} \quad T_{EL}=\frac{w_{EL}}{v^{EL}_{d}}, + +where :math:`w_{EL}` is the width and :math:`v^{EL}_{d}` the drift +velocity in the EL. Notice that we are implicitly neglecting the travel +time from the emission point to the sensor, which is much lower that the +drift and EL times. + +The signal in the SiPMs is computed with the PSF function. Recall that +the PSF is :math:`z` dependent, covering the EL width in several +partitions. For an ionization electron arriving at the EL at position +:math:`x, y` and emitting :math:`n_{S2}` total photons, the signal +produced at the SiPM at distance :math:`d` would be + +.. math:: S_{S2}(\text{SiPM}, z_p) \sim \text{Pois} \left( n_{S2}/n_z \times \text{PSF} (d|z_{p}) \right), + +where :math:`n_z` is the total number of EL partitions. Notice that this +is the signal produced by photons emitted at partition :math:`z_p`, +which are assumed to be uniformly emitted throughout the EL width. The +arrival times would also depend on the partition + +.. math:: t_{arrival~p} = t + t_{drift} + t_{drift~p} + t_{EL~p} + +where :math:`t_{drift~p} = |z_p|/v^{EL}_d` and + +.. math:: t_{EL~p} \sim \text{Uniform} \left( 0, \Delta T_{p} \right) \quad \text{with} \quad \Delta T_{p}=\frac{w_{p}}{v^{EL}_{d}}, + +where :math:`w_p` is the partition width. Again, in both PMTs and SiPMs +the arrival time is computed for each measured photo-electron. + + +**Waveforms creation**. By definition, a waveform is a time histogram of +the arrival times. Therefore this step consists of histograming the +photo-electron’s arrival times for each sensor. The PMT and SiPM +waveforms are assumed to have the same *buffer-length* but different +*bin width*. By convention the waveform times go from 0 to +buffer-length, and in order to mimic the DAQ triggering system we add an +extra *pre-trigger buffer time* that fixes the start of the signals +inside the buffer. \ No newline at end of file diff --git a/docs/source/images/detsim/fastsim_output.png b/docs/source/images/detsim/fastsim_output.png new file mode 100644 index 0000000000000000000000000000000000000000..186dcc36b4391f82a30db352ad6da15dcad5d5ae GIT binary patch literal 183695 zcmafa2RK~c`mSz_Hp5`_86^hMiQYzyB#ag!qDG0{J5fgOEmbf?2oWt3f<*5j5}oKR zN)V!xyC)~-{D1fS@AKTrGxnZc)>_~9z3ctTT8YQ#YEgq(zyt&Y)K|6D4G0K`VZfIS zL(*}Q3<_I)52e$ z_8zXBt_<8C%#mH~ua`KSAylbJ6--~knGq}{Qa-1cZ|V2E_x-v7AA*Q&jR0oq6(~+2 zsHDWwEIxeE)Yw1>(Fh*Vx8BG*|6RMbLn_We&`r|)ID}b*(~FWIfLf1Bh#Lye`KBT<`JuNvq;|IUSx={Y&O|w>LmfvH2I&r@yPu3-`?-PgpawA!yS)BHz zp2dM9Wy8IX*TQl`x?`nY8Q~%+;#&4t!{^a=SWs+E>_iEcR-=s0Bh z=tTB1O{VeM)foM(G5?-#8C^mCbNcRs-V0V-cwu$wJs3r%0n!k0n=!$_2I;Kgm$7_F 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