sin2 θW FROM NEUTRINO SCATTERING AT NUTEV
- G. P. Zeller,
- T. Adams,
- A. Alton,
- S. Avvakumov,
- L. de Barbaro,
- P. de Barbaro,
- R. H. Bernstein,
- A. Bodek,
- T. Bolton,
- J. Brau,
- D. Buchholz,
- H. Budd,
- L. Bugel,
- J. Conrad,
- R. B. Drucker,
- B. T. Fleming,
- R. Frey,
- J.A. Formaggio,
- J. Goldman,
- M. Goncharov,
- D. A. Harris,
- R. A. Johnson,
- J. H. Kim,
- S. Koutsoliotas,
- M. J. Lamm,
- W. Marsh,
- D. Mason,
- J. McDonald,
- K.S. McFarland,
- C. McNulty,
- D. Naples,
- P. Nienaber,
- V. Radescu,
- A. Romosan,
- W. K. Sakumoto,
- H. Schellman,
- M. H. Shaevitz,
- P. Spentzouris,
- E. G. Stern,
- N. Suwonjandee,
- M. Tzanov,
- M. Vakili,
- A. Vaitaitis,
- U. K. Yang,
- J. Yu,
- E. D. Zimmerman, and
- in collaboration with G. P. Zeller, T. Adams, A. Alton, S. Avvakumov, L. de Barbaro, P. de Barbaro, R. H. Bernstein, A. Bodek, T. Bolton, J. Brau, D. Buchholz, H. Budd, L. Bugel, J. Conrad, R. B. Drucker, B. T. Fleming, R. Frey, J.A. Formaggio, J. Goldman, M. Goncharov, D. A. Harris, R. A. Johnson, J. H. Kim, S. Koutsoliotas, M. J. Lamm, W. Marsh, D. Mason, J. McDonald, K.S. McFarland, C. McNulty, D. Naples, P. Spentzouris, E. G. Stern, N. Suwonjandee, M. Tzanov, M. Vakili, A. Vaitaitis, U. K. Yang, J. Yu, and E. D. Zimmerman
Northwestern University, Evanston, IL 60208, USA
Kansas State University, Manhattan, KS 66506, USA
Kansas State University, Manhattan, KS 66506, USA
University of Rochester, Rochester, NY 14627, USA
Northwestern University, Evanston, IL 60208, USA
University of Rochester, Rochester, NY 14627, USA
Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
University of Rochester, Rochester, NY 14627, USA
Kansas State University, Manhattan, KS 66506, USA
University of Oregon, Eugene, OR 97403, USA
Northwestern University, Evanston, IL 60208, USA
University of Rochester, Rochester, NY 14627, USA
Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
Columbia University, New York, NY 10027, USA
University of Oregon, Eugene, OR 97403, USA
Columbia University, New York, NY 10027, USA
University of Oregon, Eugene, OR 97403, USA
Columbia University, New York, NY 10027, USA
Kansas State University, Manhattan, KS 66506, USA
Kansas State University, Manhattan, KS 66506, USA
University of Rochester, Rochester, NY 14627, USA
University of Cincinnati, Cincinnati, OH 45221, USA
Columbia University, New York, NY 10027, USA
Columbia University, New York, NY 10027, USA
Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
University of Oregon, Eugene, OR 97403, USA
University of Pittsburgh, Pittsburgh, PA 15260, USA
University of Rochester, Rochester, NY 14627, USA
presented by K. S. McFarland
Columbia University, New York, NY 10027, USA
University of Pittsburgh, Pittsburgh, PA 15260, USA
Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
University of Pittsburgh, Pittsburgh, PA 15260, USA
Columbia University, New York, NY 10027, USA
University of Rochester, Rochester, NY 14627, USA
Northwestern University, Evanston, IL 60208, USA
Columbia University, New York, NY 10027, USA
Columbia University, New York, NY 10027, USA
Columbia University, New York, NY 10027, USA
University of Cincinnati, Cincinnati, OH 45221, USA
University of Pittsburgh, Pittsburgh, PA 15260, USA
University of Cincinnati, Cincinnati, OH 45221, USA
Columbia University, New York, NY 10027, USA
University of Rochester, Rochester, NY 14627, USA
Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
Columbia University, New York, NY 10027, USA
The NuTeV collaboration has performed precision measurements of the ratio of neutral current to charged current cross-sections in high rate, high energy neutrino and anti-neutrino beams on a dense, primarily steel, target. The separate neutrino and anti-neutrino beams, high statistics, and improved control of other experimental systematics, allow the determination of electroweak parameters with significantly greater precision than past νN scattering experiments. Our null hypothesis test of the standard model prediction measures