herwig is hosted by Hepforge, IPPP Durham

Plots from Rivet analyses

CDF energy scan underlying event analysis (CDF_2012_NOTE10874)

CDF Note 10874

In this analysis the behavior of the underlying event in hard scattering proton-antiproton collisions at 300 GeV, 900 GeV, and 1.96 TeV is studied. The 300 GeV and 900 GeV data are a result of the Tevatron Energy Scan which was performed just before the Tevatron was shut down. The energy ratio histograms can be created from different runs with a merging script available in the Rivet bin directory.

CDF Run 2 underlying event in leading jet events (CDF_2010_S8591881_QCD)

Spires | Phys.Rev.D82:034001,2010

Rick Field's measurement of the underlying event in leading jet events. If the leading jet of the event is within $|\eta| < 2$, the event is accepted and ``toward'', ``away'' and ``transverse'' regions are defined in the same way as in the original (2001) CDF underlying event analysis. The leading jet defines the $\phi$ direction of the toward region. The transverse regions are most sensitive to the underlying event.

CDF Run 2 min bias charged multiplicity analysis (CDF_2009_NOTE_9936)

Spires | CDF public note 9936 | http://www-cdf.fnal.gov/physics/new/qcd/minbias_mult09/multpage.html

Niccolo Moggi's min bias analysis. Minimum bias events are used to measure the charged multiplicity distribution. The multiplicity distribution was not published in S8233977 but the numbers and a public note are available from the CDF website given above. Note: the systematic and statistical errors in Rivet were added in quadrature.

CDF Run 2 min bias cross-section analysis (CDF_2009_S8233977)

Spires | Phys.Rev.D79:112005,2009 | doi:10.1103/PhysRevD.79.112005 | arXiv:0904.1098 [hep-ex]

Niccolo Moggi's min bias analysis. Minimum bias events are used to measure the average track pT vs. charged multiplicity, a track pT distribution and an inclusive $\sum E_T$ distribution.

Dijet mass spectrum (CDF_2008_S8093652)

Spires | arXiv:0812.4036 [hep-ex]

Dijet mass spectrum from 0.2 TeV to 1.4 TeV in $p \bar{p}$ collisions at $\sqrt{s} = 1.96$ TeV, based on an integrated luminosity of 1.13 fb$^{-1}$.

CDF Run II inclusive jet cross-section using the Midpoint algorithm (CDF_2008_S7828950)

Spires | arXiv:0807.2204 | Phys.Rev.D78:052006,2008

Measurement of the inclusive jet cross section in $p\bar{p}$ collisions at $\sqrt{s}=1.96$ TeV as a function of jet $E_\perp$, for $E_\perp >$ 62 GeV. The data is collected by the CDF II detector and has an integrated luminosity of 1.13 fb$^{-1}$. The measurement was made using the cone-based Midpoint jet clustering algorithm in rapidity bins within $|y|<2.1$. This measurement can be used to provide increased precision in PDFs at high parton momentum fraction $x$.

CDF Run II inclusive jet cross-section using the kT algorithm (CDF_2007_S7057202)

Spires | Phys.Rev.D75:092006,2007 | Erratum-ibid.D75:119901,2007 | FNAL-PUB 07/026-E | hep-ex/0701051

CDF Run II measurement of inclusive jet cross sections at a p-pbar collision energy of 1.96 TeV. Jets are reconstructed in the central part of the detector ($|y|<2.1$) using the kT algorithm with an $R$ parameter of 0.7. The minimum jet pT considered is 54 GeV, with a maximum around 700 GeV. The inclusive jet pT is plotted in bins of rapidity $|y|<0.1$, $0.1<|y|<0.7$, $0.7<|y|<1.1$, $1.1<|y|<1.6$ and $1.6<|y|<2.1$.

Inclusive jet cross section differential in pT (CDF_2006_S6450792)

Spires | Phys.Rev.D74:071103,2006 | doi:10.1103/PhysRevD.74.071103 | arXiv:hep-ex/0512020

Measurement of the inclusive jet cross section in ppbar interactions at $\sqrt{s}=1.96$ TeV using 385 $\mathrm{pb}^{-1}$ of data. The data cover the jet transverse momentum range from 61 to 620 GeV/c in $0.1 < |y| < 0.7$. This analysis has been updated with more data in more rapidity bins in CDF_2008_S7828950.

CDF Run II jet shape analysis (CDF_2005_S6217184)

Spires | Phys.Rev.D71:112002,2005 | doi:10.1103/PhysRevD.71.112002 | arXiv:hep-ex/0505013

Measurement of jet shapes in inclusive jet production in $p \bar{p}$ collisions at center-of-mass energy $\sqrt{s} = 1.96$ TeV. The data cover jet transverse momenta from 37--380 GeV and absolute jet rapidities in the range 0.1--0.7.

Transverse cone and `Swiss cheese' underlying event studies (CDF_2004_S5839831)

Spires | Phys. Rev. D70, 072002 (2004) | arXiv:hep-ex/0404004

This analysis studies the underlying event via transverse cones of $R = 0.7$ at 90 degrees in \phi relative to the leading (highest E) jet, at $\sqrt{s} = 630$ and 1800 GeV. This is similar to the 2001 CDF UE analysis, except that cones, rather than the whole central \eta range are used. The transverse cones are categorised as `TransMIN' and `TransMAX' on an event-by-event basis, to give greater sensitivity to the UE component. `Swiss Cheese' distributions, where cones around the leading $n$ jets are excluded from the distributions, are also included for $n = 2, 3$. This analysis is useful for constraining the energy evolution of the underlying event, since it performs the same analyses at two distinct CoM energies. WARNING! The pT plots are normalised to raw number of events. The min bias data have not been reproduced by MC, and are not recommended for tuning.

CDF Run 1 charged multiplicity measurement (CDF_2002_S4796047)

Spires | Phys.Rev.D65:072005,2002 | doi:10.1103/PhysRevD.65.072005

A study of $p\bar{p}$ collisions at $\sqrt{s} = 1800$ and 630 GeV collected using a minimum bias trigger in which the data set is divided into two classes corresponding to `soft' and `hard' interactions. For each subsample, the analysis includes measurements of the multiplicity, transverse momentum (pT) spectra, and the average pT and event-by-event pT dispersion as a function of multiplicity. A comparison of results shows distinct differences in the behavior of the two samples as a function of the center of mass energy. The properties of the soft sample are invariant as a function of c.m. energy. It should be noticed that minimum bias tunings of PYTHIA made by ATLAS in early 2010, which used this among all other available data from CDF and from ATLAS at 900 GeV and 7 TeV, found an unavoidable tension between this data and the rest. Accordingly, this data was excluded from the fits. Whether this reflects a problem with this dataset or with the PYTHIA MPI model is a judgement for users to make!

Field & Stuart Run I underlying event analysis. (CDF_2001_S4751469)

Spires | Phys.Rev.D65:092002,2002 | FNAL-PUB 01/211-E

The original CDF underlying event analysis, based on decomposing each event into a transverse structure with ``toward'', ``away'' and ``transverse'' regions defined relative to the azimuthal direction of the leading jet in the event. Since the toward region is by definition dominated by the hard process, as is the away region by momentum balance in the matrix element, the transverse region is most sensitive to multi-parton interactions. The transverse regions occupy $|\phi| \in [60^\circ, 120^\circ]$ for $|\eta| < 1$. The $p_\perp$ ranges for the leading jet are divided experimentally into the `min-bias' sample from 0--20 GeV, and the `JET20' sample from 18--49 GeV.

Inclusive jet cross section (CDF_2001_S4563131)

Spires | Phys.Rev.D64:032001,2001 | doi:10.1103/PhysRevD.64.032001 | arXiv:hep-ph/0102074

Measurement of the inclusive jet cross section for jet transverse energies from 40 to 465 GeV in the pseudo-rapidity range $0.1<|\eta|<0.7$. The results are based on 87 $\mathrm{pb}^{-1}$ of data.

Two jet triply-differential cross-section (CDF_2001_S4517016)

Spires | Phys.Rev.D64:012001,2001 | doi:10.1103/PhysRevD.64.012001 | arXiv:hep-ex/0012013

A measurement of the two-jet differential cross section, $\mathrm{d}^3\sigma/\mathrm{d}E_T \, \mathrm{d}\eta_1 \, \mathrm{d}\eta_2$, based on an integrated luminosity of $86 \mathrm{pb}^{-1}$. The differential cross section is measured as a function of the transverse energy, $E_\perp$, of a jet in the pseudorapidity region $0.1 < |\eta_1| < 0.7$ for four different pseudorapidity bins of a second jet restricted to $0.1 < |\eta_2| < 3.0$.

Inclusive jet cross section differential in dijet mass (CDF_2000_S4266730)

Spires | Phys.Rev.D61:091101,2000 | doi:10.1103/PhysRevD.61.091101 | arXiv:hep-ex/9912022

Measurement of the cross section for production of two or more jets as a function of dijet mass in the range 180 to 1000 GeV. It is based on an integrated luminosity of $86 \mathrm{pb}^{-1}$.

Differential cross-section for events with large total transverse energy (CDF_1998_S3618439)

Spires | Phys.Rev.Lett.80:3461-3466,1998 | 10.1103/PhysRevLett.80.3461

Measurement of the differential cross section $\mathrm{d}\sigma/\mathrm{d}E_\perp^j$ for the production of multijet events in $p\bar{p}$ collisions where the sum is over all jets with transverse energy $E_\perp^j > E_\perp^\mathrm{min}$.

Properties of six jet events with large six jet mass (CDF_1997_S3541940)

Spires | Phys.Rev.D56:2532-2543,1997 | doi:10.1103/PhysRevD.56.2532 | http://lss.fnal.gov/archive/1997/pub/Pub-97-093-E.pdf

Multijet distributions corresponding to 20 variables that span the 6-body parameter space in inclusive 6-jet events.

Dijet angular distributions (CDF_1996_S3418421)

Spires | Phys.Rev.Lett.77:5336-5341,1996 | doi:10.1103/PhysRevLett.77.5336 | arXiv:hep-ex/9609011

Measurement of jet angular distributions in events with two jets in the final state in 5 bins of dijet invariant mass. Based on $106 \mathrm{pb}^{-1}$

Further properties of high-mass multijet events (CDF_1996_S3349578)

Spires | Phys.Rev.D54:4221-4233,1996 | doi:10.1103/PhysRevD.54.4221 | arXiv:hep-ex/9605004

Multijet distributions corresponding to ($4N-4$) variables that span the $N$-body parameter space in inclusive $N = 3$-, 4-, and 5-jet events.

Properties of high-mass multijet events (CDF_1996_S3108457)

Spires | Phys.Rev.Lett.75:608-612,1995 | doi:10.1103/PhysRevLett.75.608

Properties of two-, three-, four-, five-, and six-jet events... Multijet-mass, leading jet angle, jet pT.

CDF Run I color coherence analysis. (CDF_1994_S2952106)

Spires | Phys.Rev.D50,5562,1994 | doi:10.1103/PhysRevD.50.5562

CDF Run I color coherence analysis. Events with $\ge 3$ jets are selected and Et distributions of the three highest-pT jets are obtained. The plotted quantities are the $\Delta{R}$ between the 2nd and 3rd leading jets in the pT and pseudorapidity of the 3rd jet, and $\alpha = \mathrm{d}{\eta}/\mathrm{d}{\phi}$, where $\mathrm{d}{\eta}$ is the pseudorapidity difference between the 2nd and 3rd jets and $\mathrm{d}{\phi}$ is their azimuthal angle difference. Since the data has not been detector-corrected, a bin by bin correction is applied, based on the distributions with ideal and CDF simulation as given in the publication.

CDF pseudorapidity distributions at 630 and 1800 GeV (CDF_1990_S2089246)

Spires | Phys.Rev.D41:2330,1990 | doi:10.1103/PhysRevD.41.2330

Pseudorapidity distributions based on the CDF 630 and 1800 GeV runs from 1987. All data is detector corrected. The data confirms the UA5 measurement of a $\mathrm{d}{N}/\mathrm{d}{\eta}$ rise with energy faster than $\ln{\sqrt{s}}$, and as such this analysis is important for constraining the energy evolution of minimum bias and underlying event characteristics in MC simulations.

CDF transverse momentum distributions at 630 GeV and 1800 GeV. (CDF_1988_S1865951)

Spires | Phys.Rev.Lett.61:1819,1988 | doi:10.1103/PhysRevLett.61.1819

Transverse momentum distributions at 630 GeV and 1800 GeV based on data from the CDF experiment at the Tevatron collider.

3-jet invariant mass (D0_2011_I895662)

Spires | arxiv:1104.1986

Inclusive three-jet differential cross-section as a function of invariant mass of the three jets with the largest transverse momenta. The measurement is made in three rapidity regions ($|y|<0.8, 1.6, 2.4$) and with jets above 40, 70, and 100 GeV.

Dijet invariant mass (D0_2010_S8566488)

Spires | arXiv:1002.4594

The inclusive dijet production double differential cross section as a function of the dijet invariant mass and of the largest absolute rapidity ($|y|_\text{max}$) of the two jets with the largest transverse momentum in an event is measured using 0.7 fb$^{-1}$ of data. The measurement is performed in six rapidity regions up to $|y|_\text{max}=2.4$.

Dijet angular distributions (D0_2009_S8320160)

Spires | arXiv:0906.4819 [hep-ex]

Dijet angular distributions in different bins of dijet mass from 0.25 TeV to above 1.1 TeV in $p \bar{p}$ collisions at $\sqrt{s} = 1.96$ TeV, based on an integrated luminosity of 0.7 fb$^{-1}$.

Measurement of D0 Run II differential jet cross sections (D0_2008_S7662670)

Spires | Phys.Rev.Lett.101:062001,2008 | doi:10.1103/PhysRevLett.101.062001 | arXiv:0802.2400v3 [hep-ex]

Measurement of the inclusive jet cross section in $p \bar{p}$ collisions at center-of-mass energy $\sqrt{s} = 1.96\;\text{TeV}$. The data cover jet transverse momenta from 50--600\;GeV and jet rapidities in the range -2.4 to 2.4.

Run II jet azimuthal decorrelation analysis (D0_2004_S5992206)

Spires | Phys. Rev. Lett., 94, 221801 (2005) | arXiv:hep-ex/0409040

Correlations in the azimuthal angle between the two largest pT jets have been measured using the D0 detector in ppbar collisions at 1960 GeV. The analysis is based on an inclusive dijet event sample in the central rapidity region. The correlations are determined for four different pT intervals.

Azimuthal decorrelation of jets widely separated in rapidity (D0_1996_S3324664)

Spires | Phys.Rev.Lett.77:595-600,1996 | doi:10.1103/PhysRevLett.77.595 | arXiv:hep-ex/9603010

First measurement of the azimuthal decorrelation between jets with pseudorapidity separation up to five units. The data were accumulated using the D0 detector during Tevatron Run 1 at $\sqrt{s} = 1.8\;\text{TeV}$.

Topological distributions of inclusive three- and four-jet events (D0_1996_S3214044)

Spires | Phys.Rev.D53:6000-6016,1996 | doi:10.1103/PhysRevD.53.6000 | arXiv:hep-ex/9509005

The global topologies of inclusive three- and four-jet events produced in pbar p interactions are described. The three- and four-jet events are selected from data recorded by the D0 detector at the Fermilab Tevatron Collider operating at a center-of-mass energy of $\sqrt{s}$=1800 GeV. The studies also show that the topological distributions of the different subprocesses involving different numbers of quarks are very similar and reproduce the measured distributions well. The parton-shower Monte Carlo generators provide a less satisfactory description of the topologies of the three- and four-jet events.

Charged particle multiplicity in ppbar collisions at $\sqrt{s} = 1.8\;\text{TeV}$ (E735_1998_S3905616)

Spires | Phys.Lett.B435:453-457,1998

A measurement of the charged multiplicity distribution at $\sqrt{s} = 1.8\;\text{TeV}$. The analysis is reproduced to the best of abilities. There is no theory curve in the paper to compare to.

Generated at Saturday, 05. December 2015 12:08PM