Kalman low efficiency [message #11946] |
Thu, 02 June 2011 12:04 |
Susanna Costanza
Messages: 33 Registered: January 2008 Location: Pavia
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continuous participant |
From: *1-79-r.retail.telecomitalia.it
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Dear all,
while analysing the data samples of single track events simulated for the STT/TPC comparison, we have noticed something strange: the reconstruction efficiency after the Kalman fit is much lower than the efficiency after the STT+MVD pattern recognition, especially for low momentum tracks.
In the following table, an example of the efficiencies of the STT pattern recognition, the STT+MVD PR and of the Kalman fit are reported:
Muons @ 0.3 GeV/c, theta = 40°
STT alone PR: 87%
STT+MVD PR: 97%
KALMAN : 65%
Muons @ 1 GeV/c, theta = 40°
STT alone PR: 87%
STT+MVD PR: 94%
KALMAN : 89%
The efficiency is calculated as (integral in peak)/(number of generated events), where the peak is defined as the range (mean-3sigma, mean+3sigma).
As you see, the high efficiency of the STT+MVD pattern recognition is reduced after the Kalman.
Two plots are attached to the message, showing the momentum distributions obtained with the STT alone (black), with the STT+MVD reconstruction (red) and after the Kalman (blue), again for muons at 0.3/1 GeV/c and theta = 40°.
As it is shown in the file "03GeV_40deg.pdf", the Kalman produces long tails in the momentum distribution, causing a lower efficiency in peak; these tails are not present in the other two distributions. In addition, the distribution is no more gaussian.
The tails are not present in the Kalman 1 GeV/c distribution; nevertheless, the efficiency is lower than the STT+MVD one also in this case.
Is there something going wrong in the Kalman?
Has someone already noticed this behaviour or has any idea/suggestion?
Is it possible for the detector experts to check if the recohit covariances are correct?
Thank you.
Ciao,
Susanna
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Re: Kalman low efficiency [message #11948 is a reply to message #11946] |
Thu, 02 June 2011 12:19 |
Anonymous Poster
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From: *adsl.alicedsl.de
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Hi Susanna,
in the tracks that enter into the plot for the Kalman filter, do you check that the getStatusFlag() of the track rep is giving 0?
Cheers, Christian
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Re: Kalman low efficiency [message #11954 is a reply to message #11953] |
Thu, 02 June 2011 13:10 |
Anonymous Poster
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From: *adsl.alicedsl.de
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Hi,
I see. Could you please check how this PnTrack::GetFlag() relates to the GFTrack::getStatusFlag() of GENFIT?
Cheers, Christian
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Re: Kalman low efficiency [message #11958 is a reply to message #11956] |
Thu, 02 June 2011 17:28 |
Anonymous Poster
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From: *adsl.alicedsl.de
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Hi Susanna,
so you you please add GENFIT flag to the PndTrack? The important thing is: status==0 means everything is fine, status!=0 fit failed. Then please apply a cut on this flag and redo the momentum spectrum. I am wondering if the tails get smaller...
Cheers, Christian
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Re: Kalman low efficiency [message #11960 is a reply to message #11959] |
Thu, 02 June 2011 18:34 |
Anonymous Poster
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From: *adsl.alicedsl.de
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Hi,
at the end of the day we need to know:
-What fraction of tracks can be correctly fitted with GENFIT?
-Why are the tracks that are not fitted not fitted?
-Is it maybe due to false hits picked up in the pattern reco?
The last point you can check by looking at the efficiency after a MC truth pattern reco. If you implement the GEFIT flag, just make sure that the other cases the PndTrack flag can take (pz==1e-9, etc) do not superseed the GENFIT flag. When we isolate for which tracks GENFIT fails, we can try to find out why.
Cheers, Christian
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Re: Kalman low efficiency [message #11998 is a reply to message #11967] |
Mon, 13 June 2011 10:21 |
Anonymous Poster
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From: *dynamic.mnet-online.de
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Hi Susanna,
sorry for not replying earlier, I was out of office...
I see, the GENFIT flag does not explain things. There is one more thing that just came to my mind:
What values for the momentum and position initialization due you use for building the GeaneTrackRep objects that go into GENFIT?
I ask this because I remember a similar behavior in cases where the init pos and mom values were not very good in some test I did in the past. What was happening was that I was basically falling into the left-right ambiguity normal for drift chambers.
Cheers, Christian
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Re: Kalman low efficiency [message #12001 is a reply to message #11998] |
Tue, 14 June 2011 11:33 |
Susanna Costanza
Messages: 33 Registered: January 2008 Location: Pavia
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continuous participant |
From: *pv.infn.it
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Hi Christian,
the GeaneTrackRep that goes into Genfit is built with the PndTrack that comes out from the STT+MVD pattern recognition, then backpropagated to the point (0,0,0).
The momentum distribution of the PndTracks after the pattern recognition is the red one shown in the plots attached to the first message: it seems reasonable and without tails.
Then, before going into Genfit, the tracks are backpropagated to (0,0,0) but I don't have any plot for these.
Ciao,
Susanna
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Re: Kalman low efficiency [message #12098 is a reply to message #12001] |
Mon, 20 June 2011 14:13 |
Anonymous Poster
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From: *adsl.alicedsl.de
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Hi,
could you try as a test to initialize the GeaneTrackRep with MC truth values for the position and the momentum. This way we can exclude that there are problems with the seed values for the Kalman fit.
Cheers, Christian
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Re: Kalman low efficiency [message #12222 is a reply to message #12177] |
Wed, 06 July 2011 12:51 |
Susanna Costanza
Messages: 33 Registered: January 2008 Location: Pavia
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continuous participant |
From: *pv.infn.it
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Hi Christian,
I made the test you suggested, initializing the GeaneTrackRep with the MC position and momentum values.
The results are in the plot attached: the red histogram is the input one, with the MC values; the blue one is the Kalman output.
Also with the true values as input, the results are not good...
Any suggestion?
Ciao,
Susanna
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