Search for the Higgs Boson Using Neural Networks in Events with Missing Energy and b-Quark Jets in pp¯ Collisions at s=1.96 TeV
Clicks: 129
ID: 270597
2010
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Steady Performance
30.0
/100
129 views
15 readers
AI Quality Assessment
Not analyzed
Readership in this journal
SteadyRanked #225 of 298 articles by views in physical review letters
Most read
Least read
Bar heights use a square-root scale. Only the 120 most-read articles are drawn; the journal has 298 in total.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
We report on a search for the standard model Higgs boson produced in association with a $W$ or $Z$ boson in $p\overline{p}$ collisions at $\sqrt{s}=1.96\text{ }\text{ }\mathrm{TeV}$ recorded by the CDF II experiment at the Tevatron in a data sample corresponding to an integrated luminosity of $2.1\text{ }\text{ }{\mathrm{fb}}^{\ensuremath{-}1}$. We consider events which have no identified charged leptons, an imbalance in transverse momentum, and two or three jets where at least one jet is consistent with originating from the decay of a $b$ hadron. We find good agreement between data and background predictions. We place 95% confidence level upper limits on the production cross section for several Higgs boson masses ranging from $110\text{ }\text{ }\mathrm{GeV}/{c}^{2}$ to $150\text{ }\text{ }\mathrm{GeV}/{c}^{2}$. For a mass of $115\text{ }\text{ }\mathrm{GeV}/{c}^{2}$ the observed (expected) limit is 6.9 (5.6) times the standard model prediction.
| Reference Key |
2010physicalsearch
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | |
| Journal | physical review letters |
| Year | 2010 |
| DOI |
doi:10.1103/PhysRevLett.104.141801
|
| URL | |
| Keywords |
|
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.