resolution file to use
From Weizhi on 01/21/2016 \n Here is my recent result for the resolution. Detector material and process noise are included in the GEMC simulation and reconstruction. In the link below, you will find three folders, each corresponds to a detector configuration. In each folder you will find many pdf files, named as:
These show the resolution for each momentum and polar angle bin.
Each folder also has one or two root files, which store the resolution values in a root 2D histogram format. (x and y of the histogram correspond to momentum and theta, and z gives the resolution value, see <configuration>_resolution_2d_histogram.pdf for example)
If you have any question or suggestion, please email me at email@example.com
Xin Qian's input
Things to do and learn from tracking
- Need to define input and output data structures for tracking code
- Output from tracking should be standardized so we can easily compare
- Algorithms to try
- Xin's progressive tracking
- 3D (present)
- 2D (track x,y separately and combine)
- Tree search
- Mindy's code
- Xin's progressive tracking
- With and without magnetic fields
- With field, is there p dependence
- GEM clustering dependence
- Calorimeter and other detector information
- Potential improvements
- Dead areas in GEMs
- Tracking rate
- Tracking efficiency (#of real tracks reconstructed/# of real tracks)
- Effect of noise in fits (hits replaced with noise)
- Pure noise tracks (ghost tracks)
- Multi-track reconstruction efficiency
- Helicity dependence of reconstruction (efficiency *and* quality)
- Noise correlation between planes effects
- Benchmark conditions to map
- Background rates 0 - x5
- Background rate derivatives (for helicity dependence)
- Uncorrelated - correlated backgrounds
- Readout strip configuration: x/y vs. r/phi
- Input and output
- Develop GEMC banks output standards
- Create implement GEM hit <-> banks interface for digitization code
- Create library for loading banks output, clustering for tracking code
- For library, interface with Hall A analyzer, ROOT output
- Can be done in parallel:
- Implement other algorithms
- Evaluate benchmarks
Resolution update https://hallaweb.jlab.org/dvcslog/SoLID/22
Xin's comment on 2011/09/21 http://hallaweb.jlab.org/12GeV/SoLID/download/tracking/for_Nilanga.pdf
discussion in 2015/12
The digitization code (at least when I last worked with it, which was a long time ago) assumes the GEMs are annular segments: that is, bounded on the inside and outside by arcs centered on the x/y origin, and on the sides by radial line segments. The strips are then parallel to one side or the other. Of course the real GEMs will presumably be trapezoids instead, i.e. bounded on the inside and outside by line segments perpendicular to the center line, but this is maybe too small a correction to be concerned with now.
For SIDIS the geometry is more complicated, because the GEMs are the same as for PVDIS but displaced toward the x/y origin, meaning the sides (and hence the edge strips) no longer are radial.
This again may or may not be important at this stage, but it'll have to be addressed sometime, and may be messy.
Really the digitization code (which started off with rectangular GEMs, and was converted by me to annular segments) should have been / should be written to work with arbitrary quadrilaterals. And of course the simulation should make the GEM segments quadrilaterals too.
Evaristo's code seemed to have a couple of bugs and performance problems which I have fixed in libsolgem. The bugs were related to the way random numbers were generated and the hit time offset was handled. I'm not sure if these bugs are present in the SBS code as well, they might have crept in when porting things over to SoLID/libsolgem.
There are still problems with the GEM digitization: the width of the charge distribution at the readout plane is too small overall and asymmetric between the two readout strip directions. I asked Evaristo about this in 2014 and didn't get a convincing answer; it seems like they are just tweaking parameters to fit the experimentally observed charge distribution. That may be good enough for the moment, even if the relevant parameter (the diffusion constant) ends up being unrealistically large.
There is a pulse deconvolution and a hit clustering algorithm in JeffersonLab/TreeSearch (use the "solid" branch!) which work reasonably well. These algorithms may also be present in the SBS code, but the deconvolution algorithm there may have a serious bug. Whatever is on GitHub in JeffersonLab/TreeSearch is the best available code to my knowledge.
BTW, I already gave all this information to Weizhi in 2014. He managed to compile and run libsolgem and TreeSearch, but then decided to ditch everything from TreeSearch and use his own standalone code instead. The TreeSearch code is useful as a skeleton within which one can fairly easily implement a different tracking algorithm without having to redo the whole decoding and hit processing steps.
GEM module's geometry and material
The GEM module construction is borrowed from SBS mc code as described below.
SBS code is at http://www.iss.infn.it/cisbani/atmp/sbs/ft/gemc/code/ (a local copy http://hallaweb.jlab.org/12GeV/SoLID/download/tracking/SBS_code)
a) Entrance window a.0) Al 5um (approx) a.1) Mylar 20um b) First GAP (do not contribute to the signal) b.0) 70Ar30CO2 3 mm c) Drift Cathode c.0) Kapton 50 um c.1) Copper 5 um d) Second GAP (mainly contributor to the signal) d.0) 70Ar30CO2 3 mm e) GEM0 e.0) Copper 5 um e.1) Kapton 50 um e.2) Copper 5 um f) Third GAP (small contribution to the signal) f.0) 70Ar30CO2 2 mm g) GEM1 g.0) Copper 5 um g.1) Kapton 50 um g.2) Copper 5 um h) Forth GAP (negligible contribution to the signal) h.0) 70Ar30CO2 2 mm i) GEM2 i.0) Copper 5 um i.1) Kapton 50 um i.2) Copper 5 um j) Fifth GAP j.0) 70Ar30CO2 2 mm k) Readout Board k.0) Copper 10 um k.1) Kapton 50 um k.2) G10 120 um + 60 um (assume 60 um glue as G10) m) Sixth GAP m.0) 70Ar30CO2 3 mm n) Closing window n.0) Mylar 20um n.1) Al 5um (approx)
For background study, I use FLUX bank which records every single hit,
The FLUX ID is like 1x00000 where x of 1-6 or 1-4 is for the GEM plane number
Then I use the approach Evaristo Cisbani used in SBS code as following
the idea is basically the following: 1- a particle that releases energy (at least able to generate a ion-electron pair) in the drift gap (layer 5 in JTrackGEMModel.cc) is assumed to produce a hit in the GEM detector plane and to give a detectable signal. 2- you can also consider deposited energy in the first GEM-GEM gap (the closest to the drift gap, is layer 9 in JTrackGEMModel.cc); in this case the ionized electrons miss the first GEM multiplication however signal could be large enough to produce a detectable hit if the primary ionizations are enough (say at least 5 ion-electron pairs) Therefore, particles that have: Edep>W in drift or Edep>5*W in first GEM-GEM gap provide a hit signal and can be considered as background; W is the effective average energy needed to produce one ion-electron pair (e.g. 26 eV for Argon).
Vahe's talk ar 2011 summer HallA Coll meeting http://hallaweb.jlab.org/collab/meeting/2011-summer/talks/day2/GEM_Analysis.pdf
SBS review with a lot info about GEM http://hallaweb.jlab.org/12GeV/SuperBigBite/
SBS GEM low energy photon response study http://hallaweb.jlab.org/12GeV/SuperBigBite/SBS_CDR/Response_TR2.pdf