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star-fwd-software-l - Re: [[Star-fwd-software-l] ] FWD software updates/Meeting?

star-fwd-software-l AT lists.bnl.gov

Subject: FWD Software

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  • From: Akio Ogawa <akio AT bnl.gov>
  • To: "Brandenburg, Daniel" <brandenburg.89 AT osu.edu>
  • Cc: "star-fwd-software-l AT lists.bnl.gov" <star-fwd-software-l AT lists.bnl.gov>
  • Subject: Re: [[Star-fwd-software-l] ] FWD software updates/Meeting?
  • Date: Wed, 7 May 2025 11:42:33 -0400 (EDT)

Hello

I'm seeing no code update and git pull says

"Your branch is up to date with 'origin/dev'"

my origin is https://github.com/jdbrice/star-sw-1.

Waiting for readme to see which data one I should be looking at.

OGAWA, akio Email : akio AT bnl.gov
BrookHaven National Lab. Physics Dep. 510A 2-235
Upton, NY, 11973-5000 Tel. 631-344-5293

On Wed, 7 May 2025, "Brandenburg, Daniel" wrote:


Hi All,

 

Please find several updates below. I would like to avoid meetings entirely
devoted to me reporting what I’ve
done, so unless I hear of an update, please consider this email in place of a
meeting today. However, if
there is anything to discuss I am more than happy to have a meeting.

 

PicoDst updates

* PicoDst now has “FwdVertices” that contain a position, cov matrix, and
nTracks associated with the
vertex.
* FwdTracks mVtxIndex is now split 6 bits vs. 2 bits to contain the track
type (2 bits) = [0=Global,
1=Beam line Constrained, 2=Primary Vertex constrained, 3=FWD vertex
constrained] and the 6 bits provide
the index of the vertex depending on the type.
* mGlobalTrackIndex should now be set correctly in the PicoDst. For
Beam-line, primary, or FWD vertex
constrained tracks it is the corresponding global track index (in
FwdTracks array), for Global tracks it
is set to UShort_Max

 

Tracking Performance:

* There has been some confusion about the p_z=10 etc. However, I have
investigate both mathematically and
via pythia/single particles. If we have ONLY FST measurements + PV, we
have essentially no
measurement/constraint of the track sagitta. The fits are conducted with
q/p_T and angular variables,
but if the sagitta is not constrained it means that we only measure (to
first order) a ratio between pT
and pZ within a significant range.
* It would be nice for someone else to verify this with single particle or
pythia -> compare track refit
ON/OFF to see what happens when FST+sTGC vs. FST only.
* To this end I started working (again, since we started this last year) to
investigate the viability of
utilizing EPD hits into tracking.
* Unfortunately EPD was somehow not included in our recent productions (Not
available in MuDst) – I am
trying to see if this can be recovered or if a new production would be
needed – I am trying to determine
BEFORE initiating the production file reconstruction request

 

sTGC:

* Sam (OSU) produced a version of the sTGC reconstruction code that
provides cluster level information to
the FWD Tracking – instead of combining into spacepoints.
* Since each sTGC has potentially 4 measurement layers, this should greatly
improve the chance of having
at least one valid sTGC measurement along a tracks trajectory  - which
greatly improves the sagitta
measurement and therefore the pT/pZ constraints as discussed above.
* This is partially integrated and I will give further updates on its
progress.

Misalignment:

* I found the (or at least a) major error in the misalignment that was
applying the rotations twice
causing the hits final position to be badly distorted.
* With this fixed the misalignment-enabled tracking is much more consistent
with the previous “spacepoint”
mode.
* With this I am ready to try with/without survey tables applied.

 

Productions:

* Due to the uncertainty related to the EPD information, I have not
requested a production run from Gene,
but I will try to close the loop on this today.
* I have groups of ~30M events running. In each folder I am putting a
README file with description of any
important details – e.g. FST ONLY, or misalignment mode ON, etc.

 

Tasks that could use help:

* Update StFwdTrackMatchMaker to use (R, phi) instead of (X,Y) for distance
matching
* Plots showing correlations between mid-rapidity detectors (TPC tracks,
TOF, BEMC, etc.) and FWD
* Plots showing correlations between EPD or EEMC and FWD
* Plots comparing FWD vertex positions with Event Vertex positions
* Summary of event stats vs. triggers (# of FST hits, # of tracks, FCS
info) – I currently process all
events regardless of triggers.
* Summary showing availability of vertex information(vs. trigger) – TPC,
VPD, EPD, ZDC, BTOF…
* Just to name a few ?

 

 

Best,

Daniel Brandenburg

Assistant Professor

College of Arts and Sciences

Department of Physics

Ohio State University

 

 





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