The importance of calorimetry for highly-boosted jet substructure
- Brown Univ., Providence, RI (United States)
- Univ. of Oregon, Eugene, OR (United States)
- Univ. of Hamburg, Hamburg (Germany)
- Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
Here, jet substructure techniques are playing an essential role in exploring the TeV scale at the Large Hadron Collider (LHC), since they facilitate the efficient reconstruction and identification of highly-boosted objects. Both for the LHC and for future colliders, there is a growing interest in using jet substructure methods based only on charged-particle information. The reason is that silicon-based tracking detectors offer excellent granularity and precise vertexing, which can improve the angular resolution on highly-collimated jets and mitigate the impact of pileup. In this paper, we assess how much jet substructure performance degrades by using track-only information, and we demonstrate physics contexts in which calorimetry is most beneficial. Specifically, we consider five different hadronic final states - W bosons, Z bosons, top quarks, light quarks, gluons - and test the pairwise discrimination power with a multi-variate combination of substructure observables. In the idealized case of perfect reconstruction, we quantify the loss in discrimination performance when using just charged particles compared to using all detected particles. We also consider the intermediate case of using charged particles plus photons, which provides valuable information about neutral pions. In the more realistic case of a segmented calorimeter, we assess the potential performance gains from improving calorimeter granularity and resolution, comparing a CMS-like detector to more ambitious future detector concepts. Broadly speaking, we find large performance gains from neutral-particle information and from improved calorimetry in cases where jet mass resolution drives the discrimination power, whereas the gains are more modest if an absolute mass scale calibration is not required.
- Research Organization:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- Grant/Contract Number:
- AC02-07CH11359
- OSTI ID:
- 1416558
- Report Number(s):
- FERMILAB-PUB-17-347-E; MIT-CTP-4935; arXiv:1709.08705; 1625742
- Journal Information:
- Journal of Instrumentation, Vol. 13, Issue 01; ISSN 1748-0221
- Publisher:
- Institute of Physics (IOP)Copyright Statement
- Country of Publication:
- United States
- Language:
- English
Web of Science
Aspects of track-assisted mass
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journal | March 2019 |
JEDI-net: a jet identification algorithm based on interaction networks
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journal | January 2020 |
JEDI-net: a jet identification algorithm based on interaction networks | text | January 2019 |
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