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Re: [Sphenix-maps-l] In-time vertexing with INTT

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  • From: sookhyun lee <dr.sookhyun.lee AT gmail.com>
  • To: mxliu <ming AT bnl.gov>
  • Cc: sphenix-maps <sphenix-maps-l AT lists.bnl.gov>, sphenix-intt-l AT lists.bnl.gov
  • Subject: Re: [Sphenix-maps-l] In-time vertexing with INTT
  • Date: Thu, 1 Nov 2018 22:37:23 -0500
Hi Ming,

So far only 1 INTT hit is being used. I modified codes so that I can use multiple layers, but I haven't been able to test it. 
Will also plot track multiplicity for in-time events some time soon. 

Best,
Sookhyun


On Thu, Nov 1, 2018 at 10:25 PM mxliu <ming AT bnl.gov> wrote:

HI Sookhyun,

Very nice work. A few comments:

How many INTT hits do you require for each tracklet?  In your previous study, you only used one INTT hit to reject out of time tracks.

 

Slide #3, do you also have the in-time track multiplicity distribution?

 

Cheers,

Ming

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Ming Xiong Liu

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From: sPHENIX-MAPS-l <sphenix-maps-l-bounces AT lists.bnl.gov> on behalf of sookhyun lee <dr.sookhyun.lee AT gmail.com>
Date: Thursday, November 1, 2018 at 10:57 PM
To: Sanghoon Lim <shlim AT rcf.rhic.bnl.gov>
Cc: <sphenix-intt-l AT lists.bnl.gov>, sPHENIX-MVTX <sphenix-maps-l AT lists.bnl.gov>
Subject: Re: [Sphenix-maps-l] In-time vertexing with INTT

 

Hi all,

 

Please see below for plots I have so far. I tried to be as clear as possible in defining quantities I plot and to incorporate all the comments received. 

 

 

The condor jobs have been running very slowly recently and I couldn't get to run more iterations. As a result, there are still some missing plots. Also, I still use Pythia min-bias files I generated for pile-up backgrounds due to technical issues. I do not see any significant change from switching to sanghoon's files, though I can try at next iteration. 

 

To answer some remaining questions, I do not refit vertex after adding INTT clusters as we will get the best vertex information when using triplets (not only because they give us the best resolution, but also the interaction vertex position information gets distorted as a track traverses through detectors.) What will be interesting is that you can propagate a track all the way out and then come back into the inner most layer, at which point the fit results will give us more meaningful information.

 

Track seeding efficiency with 1 INTT layer is >95% as stated here (slide 3):

 

 

Best regards,

Sookhyun   

 

 

 

 

 

On Fri, Oct 19, 2018 at 10:59 AM Sanghoon Lim <shlim AT rcf.rhic.bnl.gov> wrote:

Hi Sookhyun,

 

Thanks for your update, I had a couple of questions for clarification.

 

- What's the in-time events? Is this pythia or single particle generation?

- Event multiplicity is the number of charged tracks in generation level or the number of reco tracklets used for seed vertexing?

- Can you also find your tracklet finding efficiency? (This may affect the seed vertex resolution)

- I think you showed the seed vertex resolution before, can you also include that of recent version?

 

Best,

Sanghoon



On Oct 18, 2018, at 11:28 PM, sookhyun lee <dr.sookhyun.lee AT gmail.com> wrote:

 

Hello all,

 

Please find my updates on in-time vertexing with INTT at:

 

The results shown used  ~15% of intended statistics due to limited time and computing resources. 

Plots will be updated tomorrow morning again with more statistics. 

 

Best regards,

Sookhyun

 

 

 

 

 

 

On Tue, Oct 9, 2018 at 5:10 PM sookhyun lee <dr.sookhyun.lee AT gmail.com> wrote:

Hi Xin,

 

Please find my answers inline. 

Best regards,

Sookhyun

 

On Tue, Oct 9, 2018, 15:21 Xin Dong <xdong AT lbl.gov> wrote:

Hi Sookhyun,

 

Thank you for this nice study. Let me back off a bit and ask a couple of basic questions first.

 

Can you elaborate the definition of "in-time vertex identification efficiency"? My understanding from the slides is the probability of reconstructed vertices with 3 MVTX+1 INTT to be the truth MC vertices. I may be wrong here, and would appreciate your clarification.

 

So the module reconstruts all possible vertices in an event and uniquely determines an in-time vertex and assigns 0 to vt for this vertex. For each event, if at least one true in-time vertex has a reconstucted vertex with vt=0, we declare an in-time vertex is identified. The denominator is the number of events with in-time vertex with true vertex within 10 cm. 

 

 

What is the minimum number of tracks requirement in the vertex algorithm?

 

I require 2 track at minimum.

 

 

Do you also have the vertex finding efficiency? Fraction of MC truth vertex that got reconstructed. May be also interesting to see this vs. event multiplicity at different luminosity levels.

 

I'd like to refer you to the talk I gave in last year's collaboration meeting.

 

 

I tend to agree with Ming that 3 MVTX hit seems to be a bit tight. What if there are some small amount of dead areas on each layer of MVTX during the real operation. The dead area fractions in three layers will add up if we have the 3-hit requirement. This may cause some sizable vertex finding efficiency loss, isn't it?

 

This is very interesting question. In a catastrophic case of most sensors of 1 MVTX layer dead, I can naively imagine writing a 2D xy vertexing algorithm for phi segmented layer, which may be unnecessary. For z segmented layer, we can fit tracks to a line on xz plane, but the resolution won't be as good as a track won't be really straight. However, this is an unlikely circumstance as Tony points out. 

 

 

Thank you and Best Regards

 

/xin

 

 

 

 

On Tue, Oct 9, 2018 at 11:00 AM sookhyun lee <dr.sookhyun.lee AT gmail.com> wrote:

Hi Ming,

 

Yes, so far I only used 1 INTT layer to discriminate against out-of-time events. We certainly should reconstruct tracks using 2 MVTX hit + (2+) INTT hits at next iteration, but 2 MVTX hits only won't provide good starting curvature (for phi segmentation) or z0 parameter (for z segmentation) for INTT, thus cannot be used for in-time vertexing. I did not apply any pT cut on tracks used for vertexing.

 

Best regards,

Sookhyun  

 

On Tue, Oct 9, 2018 at 12:14 PM Ming Liu <ming AT bnl.gov> wrote:

Hi Sookhyun,

Nice work! So in your analysis, only one INTT hit was used to tag in-time association to a MVTX triplets? How about if you only use MVTX tracklet with two hits only? Have you applied any minimum momentum cuts?

 

Cheers 

Ming

Sent from my iPhone


On Oct 9, 2018, at 9:52 AM, sookhyun lee <dr.sookhyun.lee AT gmail.com> wrote:

Hello everyone, 

 

Please find my updates on in-time vertexing with INTT below.

 

 

Let us have discussions tomorrow at Inner tracking task force meeting as well.

 

Best regards,

Sookhyun

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===========================
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Lawrence Berkeley National Lab
MS70R0319, One Cyclotron Road
Berkeley, CA 94720, USA
Tel: +1-510-486-4121
Email: XDong AT lbl.gov
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