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New l1 track trigger stub window tune #43260
New l1 track trigger stub window tune #43260
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+code-checks Logs: https://cmssdt.cern.ch/SDT/code-checks/cms-sw-PR-43260/37649
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A new Pull Request was created by @rgoldouz (Reza Goldouzian) for master. It involves the following packages:
@epalencia, @srimanob, @AdrianoDee, @aloeliger, @cmsbuild can you please review it and eventually sign? Thanks. cms-bot commands are listed here |
+code-checks Logs: https://cmssdt.cern.ch/SDT/code-checks/cms-sw-PR-43260/37651
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Pull request #43260 was updated. @cmsbuild, @srimanob, @epalencia, @AdrianoDee, @aloeliger can you please check and sign again. |
please test |
thanks for referencing us! If I understand correctly, this change affects all the objects relying on the TrackTrigger? I looked at the DN and I see it contains some measurements for "Electrons" and "Muons", though I am not sure which exact objects were used. @rgoldouz could you clarify? |
Hi @artlbv (let's add @mdhildreth to the loop), we have developed this new tune based on the stub properties in ttbar, single electron and single muon samples with PU200 (rate, efficiencies,...) and then tested its effect on the electron, muon, displaced muon, and general track efficiency. The previous and new tunes have similar efficiencies/features for track reconstruction while the new tune leads to lower stub rate. please let me know if you have any further question. I have attached our updated version of note that will be appear on ICMS soon. Thanks, |
+1 Summary: https://cmssdt.cern.ch/SDT/jenkins-artifacts/pull-request-integration/PR-8a2166/35841/summary.html Comparison SummarySummary:
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@mcepeda @EmyrClement @cerminar @folguera as far as I am concerned, this is fine from a software perspective, I would like to hear one of you comment on this from a physics one before it is signed on. |
Hi @mcepeda @EmyrClement @cerminar @folguera @aloeliger @skinnari @tomalin , More comparison plots can be found in the following link Thanks, |
@rgoldouz thanks for the plots! In general the electron eff. seems to be ok. |
@rgoldouz thanks for the comparison - can I just check that the tracker geometry in the D76 geometry this stub window tune was derived on is the same as what's in D88/D95, which is the geometry we use in most of the L1T samples? |
Hi cerminar, Hi @EmyrClement , As you mentioned we have developed/tested/validated the new tun using D76 geometry. In order to make sure that it works in D88, I reran the L1trk efficiency code and I found consistent results https://rgoldouz.web.cern.ch/rgoldouz/MyPlots/L1tracker/2023-11-12/. I have not tested it for D95. Thanks, |
@EmyrClement & @cerminar I am leaving this PR until you are satisfied by it, otherwise the changes seem trivial enough to me. Let me know if when you think it is ready. |
@aloeliger, as far as I can tell, I see no showstoppers for electrons. |
This if fine from my side. Just to confirm what @rgoldouz reported on the geometries, digging through the versions here and for an older CMSSW release here, I see the D76/88/95 geometries used the T21/24/31 tracker geometry, which correspond to identical layouts (from the descriptions of those geometries). |
+l1 |
@rgoldouz |
Hi @srimanob , I have checked it for D76 and D88. The tune is similar to the previous tune with some small modifications. So it should work also for D98 and later geometries. Thanks, |
+Upgrade |
This pull request is fully signed and it will be integrated in one of the next master IBs (tests are also fine). This pull request will now be reviewed by the release team before it's merged. @sextonkennedy, @rappoccio, @antoniovilela (and backports should be raised in the release meeting by the corresponding L2) |
+1 |
I have performed various studies related to the stub rate and stub reconstruction efficiencies. As a results I have made a new stub window tune. All details are documented in the following detector note (CMS DN-2020/005 -- The L1 Track Trigger Upgrade: Properties, Efficiencies, and Rates for Track Stubs)
the only updated file is the following: L1Trigger/TrackTrigger/python/TTStubAlgorithmRegister_cfi.py