Open karthik18495 opened 3 years ago
are the noise hits at 212cm associated with the same readout channels?
I asked for this to be made as an issue because I suspect that it is somehow related to the timing of the random background. In order for points in the BCAL to have the position 212 cm, the time of the hits on each end must be exactly the same. I don't know the details but I understand that the timing of the random events must be adjusted when they are merged with simulation events. It seems to me that this timing adjustment is not being done quite right for the BCAL hits.
Karthik, it might be useful to point to hddm files with and without the random background in order for people to look more closely.
maybe a 2d plot with phi (azimuth angle) vs z might give some insight.
No, I believe it is not. Here you can see in the 2D plot (Phi Vs Z) for the bggen with noise. It doesnt happen at a single channel.
Also the folders that has the hddm files are at
/work/halld/ksuresh/zPi0 Each folder is named as (particle)(with/without)Noise
This can be investigated by Karthik. But it is probably not just a few channels.
On Feb 3, 2021, at 1:07 PM, zihlmann notifications@github.com wrote:
are the noise hits at 212cm associated with the same readout channels?
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ah, now I notice, 212cm is exaclty the center of the BCAL. and the other two smaller spikes are at the start and end of it.
Looking at one of these events, the hits that cause the shower in the middle don't seem to have exactly the same time, though it's close - I extracted a dump below.
We should check to see if these showers show up in the random trigger data themselves - maybe there really is some background in there? I pulled some files from tape, Karthik could you please run your code over them, when they show up in this location: `/cache/halld/RunPeriod-2018-08/recon/ver02/converted_random/merged
================================================================
Event: 27
DBCALCluster:
r: phi: z: theta: t: E: E_preshower: E_L2: E_L3: E_L4: N_cell: charge: t_rms:
-----------------------------------------------------------------------------------------------------
68.95 1.58 144.84 0.71 3.31 1.06 0.05 0.64 0.31 0.05 17 0 0.39
68.30 4.60 232.39 0.39 -32.59 0.13 0.00 0.13 0.00 0.00 1 0 0.00
65.30 3.55 218.18 0.40 -44.48 0.12 0.12 0.00 0.00 0.00 1 0 0.00
DBCALDigiHit:
module: layer: sector: end: pulse_integral: pulse_peak: pulse_time: pedestal: QF: nsamples_integral: nsamples_pedestal:
-------------------------------------------------------------------------------------------------------------------------------
9 1 3 downstream 1035 0 5678 1 1 1 1
13 1 3 upstream 1404 109 1784 1 1 1 1
13 1 3 downstream 1080 84 1910 1 1 1 1
13 2 1 upstream 428 33 1775 1 1 1 1
13 2 1 downstream 460 35 1906 1 1 1 1
13 2 2 upstream 3332 260 1788 1 1 1 1
13 2 2 downstream 1920 150 1905 1 1 1 1
13 2 3 upstream 12328 963 1777 1 1 1 1
13 2 3 downstream 9096 710 1907 1 1 1 1
13 2 4 upstream 732 57 1782 1 1 1 1
13 2 4 downstream 720 56 1912 1 1 1 1
13 3 1 upstream 480 37 1781 1 1 1 1
13 3 1 downstream 316 24 1923 1 1 1 1
13 3 2 upstream 1980 154 1782 1 1 1 1
13 3 2 downstream 1968 153 1912 1 1 1 1
13 3 3 upstream 4464 348 1787 1 1 1 1
13 3 3 downstream 3360 262 1908 1 1 1 1
13 3 4 upstream 332 25 1787 1 1 1 1
13 3 4 downstream 496 38 1907 1 1 1 1
13 4 1 upstream 200 15 1810 1 1 1 1
13 4 1 downstream 148 11 1903 1 1 1 1
13 4 2 upstream 280 21 1806 1 1 1 1
13 4 2 downstream 576 45 1910 1 1 1 1
13 4 3 upstream 188 14 1792 1 1 1 1
13 4 3 downstream 252 19 1884 1 1 1 1
13 4 4 upstream 188 14 1781 1 1 1 1
13 4 4 downstream 232 18 1901 1 1 1 1
14 3 3 upstream 204 15 1801 1 1 1 1
14 3 3 downstream 284 22 1907 1 1 1 1
26 1 2 upstream 1352 0 5422 1 1 1 1
28 1 3 upstream 2836 0 1082 1 1 1 1
28 1 3 downstream 2807 0 1070 1 1 1 1
12 3 2 upstream 168 13 1806 1 1 1 1
12 3 2 downstream 116 9 1915 1 1 1 1
12 3 4 upstream 96 7 1792 1 1 1 1
12 3 4 downstream 84 6 1887 1 1 1 1
14 2 3 upstream 216 16 1789 1 1 1 1
14 2 3 downstream 116 9 1903 1 1 1 1
29 4 1 upstream 132 10 1873 1 1 1 1
36 2 3 upstream 2931 0 1290 1 1 1 1
36 2 3 downstream 2900 0 1251 1 1 1 1
44 1 1 upstream 939 0 5630 1 1 1 1
DBCALHit:
module: layer: sector: end: E(GeV): t(ns):
---------------------------------------------------
9 1 3 downstream 0.031 254.88
13 1 3 upstream 0.043 11.50
13 1 3 downstream 0.033 19.38
13 2 1 upstream 0.013 10.94
13 2 1 downstream 0.014 19.12
13 2 2 upstream 0.101 11.75
13 2 2 downstream 0.058 19.06
13 2 3 upstream 0.379 11.06
13 2 3 downstream 0.278 19.19
13 2 4 upstream 0.022 11.38
13 2 4 downstream 0.022 19.50
13 3 1 upstream 0.015 11.31
13 3 1 downstream 0.010 20.19
13 3 2 upstream 0.060 11.38
13 3 2 downstream 0.060 19.50
13 3 3 upstream 0.136 11.69
13 3 3 downstream 0.102 19.25
13 3 4 upstream 0.010 11.69
13 3 4 downstream 0.015 19.19
13 4 1 upstream 0.006 13.12
13 4 1 downstream 0.004 18.94
13 4 2 upstream 0.008 12.88
13 4 2 downstream 0.017 19.38
13 4 3 upstream 0.006 12.00
13 4 3 downstream 0.008 17.75
13 4 4 upstream 0.006 11.31
13 4 4 downstream 0.007 18.81
14 3 3 upstream 0.006 12.56
14 3 3 downstream 0.009 19.19
26 1 2 upstream 0.041 238.88
28 1 3 upstream 0.086 -32.38
28 1 3 downstream 0.086 -33.12
12 3 2 upstream 0.005 12.88
12 3 2 downstream 0.003 19.69
12 3 4 upstream 0.003 12.00
12 3 4 downstream 0.003 17.94
14 2 3 upstream 0.007 11.81
14 2 3 downstream 0.003 18.94
29 4 1 upstream 0.004 17.06
36 2 3 upstream 0.089 -19.38
36 2 3 downstream 0.088 -21.81
44 1 1 upstream 0.028 251.88
DBCALPoint:
E(GeV): t(ns): z(cm): r(cm): phi: module: layer: sector:
-----------------------------------------------------------
0.006 4.6 88.7 73.3 1.424 12 3 2
0.004 3.3 96.1 73.3 1.489 12 3 4
0.054 3.8 81.9 65.3 1.587 13 1 3
0.020 3.4 78.4 68.3 1.522 13 2 1
0.113 3.8 85.7 68.3 1.554 13 2 2
0.471 3.5 79.0 68.3 1.587 13 2 3
0.032 3.8 79.0 68.3 1.620 13 2 4
0.017 4.1 71.2 73.3 1.522 13 3 1
0.088 3.8 77.6 73.3 1.554 13 3 2
0.171 3.8 82.3 73.3 1.587 13 3 3
0.019 3.8 82.9 73.3 1.620 13 3 4
0.008 4.4 95.9 81.2 1.522 13 4 1
0.020 4.5 89.9 81.2 1.554 13 4 2
0.010 3.2 96.4 81.2 1.587 13 4 3
0.009 3.4 81.2 81.2 1.620 13 4 4
0.007 3.7 87.3 68.3 1.718 14 2 3
0.011 4.2 90.3 73.3 1.718 14 3 3
0.125 -44.4 153.0 65.3 3.551 28 1 3
0.129 -32.2 167.2 68.3 4.598 36 2 3
DBCALShower:
E: x: y: z: t: r: phi: E_preshower: E_L2: E_L3: E_L4: N_cell: Q: dE: dx: dy: dz: dt: EXcorr: EYcorr: EZcorr: ETcorr: XYcorr: XZcorr: XTcorr: YZcorr: YTcorr: ZTcorr: sigLong: sigTrans: sigTheta: rmsTime:
----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
1.065 -0.70 68.95 144.8 3.5 69.0 1.581 0.054 0.642 0.315 0.046 17 0 0.047 0.370 1.384 2.01 0.083 -0.004 -0.004 -0.005 -0.018 -0.030 -0.026 -0.026 0.849 0.681 0.565 1.673 0.008 0.011 0.390
0.133 -7.81 -67.85 232.4 -32.2 68.3 -1.685 0.000 0.129 0.000 0.000 1 0 0.019 0.633 1.237 4.28 0.180 -0.045 -0.196 0.150 0.079 0.168 -0.148 -0.071 -0.716 -0.380 0.354 2.873 0.009 0.009 0.000
0.129 -59.91 -25.97 218.2 -44.4 65.3 -2.733 0.125 0.000 0.000 0.000 1 0 0.019 1.196 0.770 4.25 0.182 -0.188 -0.135 0.141 0.081 0.504 -0.690 -0.363 -0.480 -0.256 0.351 2.874 0.009 0.008 0.000
Here I had run over 50k events over the file at /cache/halld/RunPeriod-2018-08/recon/ver02/converted_random/merged/converted_random_051302.hddm
The plots now show peaking at 2 places one at 212cm and another at around 175 cms OutputData.pdf
So, it looks like these features exist in the random triggered data that we are using to simulate backgrounds. We could look at data taken with other triggers, to see if it's there, maybe look at some other run periods. Does anyone have a hypothesis for why we might have these correlated hits? @markdalton ?
maybe?: random hit means equally possible hits for any time within the readout window. However hits close to either end of this window on both ends of the module will result in a time difference of either zero or +- full length of the module. Not sure how to go about this.
On 2/5/21 10:54 AM, Sean Dobbs wrote:
So, it looks like these features exist in the random triggered data that we are using to simulate backgrounds. We could look at data taken with other triggers, to see if it's there, maybe look at some other run periods. Does anyone have a hypothesis for why we might have these correlated hits? @markdalton https://urldefense.proofpoint.com/v2/url?u=https-3A__github.com_markdalton&d=DwMCaQ&c=CJqEzB1piLOyyvZjb8YUQw&r=Hy7ijcc6pcMoP-QxZxtQH4-vodW_VGkrA9xiBc7InXk&m=zIb2eOjCQMIHuuLlYtMc0KgukXTtMYWnVsIUTBZr6x0&s=CP02KFlii-lnRAT86wjNmFs_QDRqsDVh_RYIBEuRx5M&e= ?
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As per the discussions form the CalWG meeting on 3rd Feb 2021. This issue is being opened
I did look into sample (Run 50715) with and without Random Bkg. There seems to be a spike at 212 cms (middle of the BCAL) when using a random Bkg.
Output.pdf contains the following.
The first page has plots of a Photon gun shot at theta = 40 and momentum = 1GeV.
The second page of the plots has the same set of plots but for a bggen sample with and without the Random BKG. Output.pdf