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  • From: "Perepelitsa, Dennis" <dvp AT bnl.gov>
  • To: "Lajoie, John G [PHYSA]" <lajoie AT iastate.edu>
  • Cc: HCal sPHENIX <sphenix-hcal-l AT lists.bnl.gov>
  • Subject: Re: [Sphenix-hcal-l] HCAL meeting 12/10
  • Date: Wed, 11 Dec 2019 20:41:13 +0000

Hi Edward and John,

Thanks a lot for the detailed suggestions.

I agree this would be interesting to investigate. However, like John, it is not obvious to me that in HI collisions the improvement would be visible given the large backgrounds and shower shape fluctuations / overlaps (it may well be that there is an improvement, it is just not obvious to me).

I’ll think more about what kind of specific studies we could do, and hopefully we can also talk more in private...

Dennis

On Dec 11, 2019, at 7:34 AM, Lajoie, John G [PHYSA] <lajoie AT iastate.edu> wrote:

Hi Dennis,
 
I may be saying the same thing as Edward in my own different coordinate space, but here’s my take on things.
 
The tilt of the plates in the outer HCAL means that the size and shape of the cluster contains information about the entry angle of the particle into the calorimeter if you cluster in eta and phi. To first order the lateral extent of the cluster will be minimized when the vector of the particle entering the HCAL is aligned with the titled vector of the outer HCAL, and will be asymmetric as it deviates from that vector.
 
You could potentially make use of this. If you continue to cluster in eta and phi then you could use a cluster template library to determine the most probable entry angle for a given cluster, which may help in disentangling cluster overlaps. In particular, when you have a large cluster that results from several charged track overlaps, you could use the template library to help you extract the energy in each cluster, using the tracks themselves to seed the process. 
 
I think this approach would be most helpful in HI collisions, where the particle density is high, if you try to implement a particle flow approach. So, rather than make this a bug, make it a feature by using the additional information contained in the cluster shape.
 
Whether or not this works is a question of degree – it may be that hadronic shower fluctuations are so large that this is all moot. However, if that’s really the case, then I think it would be true that there is nothing to be gained by trying to cluster in different coordinates either.  I think it should be pretty straightforward to set up a test, developing a MC template library with some single-particle events and then trying to apply it. It may not work by itself, but it might also point the way to something that does….
 
My $0.02.
 
John
 
From: sPHENIX-HCal-l <sphenix-hcal-l-bounces AT lists.bnl.gov> On Behalf Of Edouard Kistenev
Sent: Tuesday, December 10, 2019 7:27 PM
To: Perepelitsa, Dennis <dvp AT bnl.gov>
Cc: HCal sPHENIX <sphenix-hcal-l AT lists.bnl.gov>
Subject: Re: [Sphenix-hcal-l] HCAL meeting 12/10
 
Hi Dennis, for many years I tried to explain that so called polar coordinate are rather useless - waste of computer time. If you want something really new - why one of your students will not look into the design of the vector processors (chipsets)  customary used to manipulate images in computer games. Most likely the solutions people use are well documented.
As for the tilted HCal - you have no choice but to image calorimeter towers as 3-vectors pointing to centers of mass (gravity) which were all computed by Richie Ruggiero (sure he has tables) weighted by energy measured in a tower. This is an approximation. But every tower may and shell  be used as a jet seed. This jet will have its zero approximation vector (vector sum of all contributors). Use it to draw the line through the central two or more overlapping (radially) towers in Inner and Outer sections, decide on energy sharing along that axis and now build two or more representative “momenta” which can be used to localize shower CG’s in both section. Next comes global CG and leakage correction. This is just canvas of what can be done with calorimeter data viewed as point (local  СG) deposited energies in the need of a lot of manipulating and correcting. This is not exactly “clustering”, you will still need to find solution to enhance the quality of your image (field built of seeds) while conserving energy. 
Not a single operation in this whole analysis chain needs to know about  azymuthal and/or polar angles.
 

Edward

Sent from my iPhone


On Dec 10, 2019, at 4:35 PM, Perepelitsa, Dennis <dvp AT bnl.gov> wrote:

Dear HCal group, 
 
I just wanted to bring to your attention that there has been an effort within the JS and Sims groups to implement a useful clustering algorithm for the I+OHCal.
 
Here is a pointer to today’s Sims meeting: https://indico.bnl.gov/event/5494/ 
 
One particular item which came up in the Sims meeting is whether the tilted nature of the calorimeter towers suggest that eta-phi may not be the best measure of 3-D topological connection. Perhaps you have some opinion on this.
 
Happy for any feedback,
 
Dennis
 
Dennis V. Perepelitsa
Assistant Professor, Physics Department
University of Colorado Boulder
 


On Dec 9, 2019, at 9:51 AM, Lajoie, John G [PHYSA] <lajoie AT iastate.edu> wrote:
 
Dear HCAL’ers:
 
It’s that time again – our next HCAL meeting will be tomorrow, Tuesday December 10tRuss h at 11AM BNL time:
 
 
In addition to the usual reports on the sector assembly and tile testing, I have also added time for a discussion of the iHCAL cooling needs.  Russ has pointed out that we need to make a plan for any cooling testing we may want to do with the SS310 prototype so we can finalize the iHCAL design in the near future. 
 
Additional contributions are certainly welcome!
 
Regards,
John
 

John Lajoie
Professor of Physics
Iowa State University
 
(515) 294-6952
 
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Dennis V. Perepelitsa
Assistant Professor, Physics Department
University of Colorado Boulder




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