Skip to main content

Jet Algorithms at DØ

  • Conference paper
Hadron Collider Physics 2002
  • 94 Accesses

Abstract

The DØ experiment at the Fermilab Tevatron proton-antiproton collider \( (\sqrt {s} = 1.8{\text{ TeV}}) \) accumulated a large sample of high energy jet production data during Run 1 (1992–1996). Since March 2001, DØ has engaged in continuous data collection with an upgraded detector equipped for the higher energy \( (\sqrt {s} = 1.96{\text{ TeV}}) \) and luminosity conditions of the Run 2 Tevatron. We summarize here pivotal measurements of Run 1 and consider their comparison to theoretical predictions and to other experiments. These factors elucidate DØ’s jet clustering algorithm strategy for Run 2 jet measurements. Preliminary measurements of jets from the Run 2 DØ experiment are also presented.

for the DØ Collaboration

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. DØ collaboration, S. Abachi et al.: NIM A 338, 185 (1994).

    Article  ADS  Google Scholar 

  2. W.B. Kilgore and W.T. Giele: Phys. Rev. D 69, 3615 (1992).

    Article  Google Scholar 

  3. J.E. Huth et al: in ‘Proceedings of Research Directions For The Decade: Snowmass 1990’, edited by E.L. Berger (World Scientific, Singapore, 1992) p134.

    Google Scholar 

  4. B. Abbott et al: Phys. Rev. Lett. 86, 1707 (2001).

    Article  ADS  Google Scholar 

  5. W.T. Giele, E.W.N. Glover, David A. Kosower: Nucl. Phys. B 403, 633 (1993).

    Article  ADS  Google Scholar 

  6. J. Pumplin et al: ‘New Generation of Parton Distributions with Uncertainties from Global QCD Analysis’, hep-ph/0201195

    Google Scholar 

  7. A.D. Martin et al: Eur. Phys. J. C 23, 73 (2002).

    Article  ADS  Google Scholar 

  8. Frame K C: ‘Implementation and Calibration of a k T Jet Finding Algorithm for use in pp¯ Collisions at √S = 1.8 TeV’, Ph.D. thesis, Michigan State University, 1999.

    Google Scholar 

  9. V.M. Abazov et al: Phys. Lett. B 525, 211 (2002).

    Article  ADS  Google Scholar 

  10. G. Marchesini et al: Computer Phys. Commun. 67, 465 (1992).

    Article  ADS  Google Scholar 

  11. G.C. Blazey et al: ‘Run II Jet Physics’, Proceedings of the Physics at RUN II: QCD and Weak Boson Physics Workshop, Batavia, Illinois, 4-6 Nov 1999, pp.47–77. (also FERMILAB-CONF-00-092-E, May 2000. 32pp or e-Print Archive: hep-ex/0005012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2003 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Gallas, E. (2003). Jet Algorithms at DØ. In: Erdmann, M., Müller, T. (eds) Hadron Collider Physics 2002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-55524-4_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-55524-4_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-62472-8

  • Online ISBN: 978-3-642-55524-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics