1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris,...

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1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis School January 27, 2011

Transcript of 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris,...

Page 1: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

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Introduction to Dijet Resonance Search

Exercise

John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and

Jason St. John

CMS Data Analysis School

January 27, 2011

Page 2: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Outline

Exercise Goals

Dijet Production

Dijet Resonances

Search with Dijet Mass Distribution

Search with Dijet Ratio

Final Words

Page 3: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Goals

Our goal is to teach you a simple analysis searching for dijet resonances You will learn some tools and techniques while looking at data

Concentrate on the actual dijet data where you will learn to make1. Basic kinematic distributions of jets in a dijet sample

2. Dijet mass distribution in the data

3. Dijet ratio, a simple measure of dijet angular distributions

You will fit the dijet mass and dijet centrality ratio to a parameterization A smoothness test that is the simplest search for dijet resonances

You will learn to analyze MC data of dijet resonance signals Producing MC mass bumps in both rate and dijet ratio

You will learn some simple statistics, but you will not learn how to set limits.

Robert Harris, Fermilab 3

Page 4: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Background Material

Phys.Rev.Lett.105:211801,2010 AN-2010/108-v14

Robert Harris, Fermilab 4

The exercise will follow the first analysis steps of the published CMS dijet resonance search with 3 pb-1.

You will make similar plots as in the analysis note using a similar dataset.

Page 5: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Dijet Production

Robert Harris, Fermilab 5

Page 6: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Robert Harris, Fermilab 6

Jets at LHC in Standard Model

Proton

q, q, g

Proton

q, q, g

The LHC collidesprotons containingcolored partons: quarks, antiquarks & gluons.

q, q, g q, q, g

q, q, g

q, q, g

The dominant hard collision process is simple 2 2 scattering of partons off partons via the strong color force (QCD).

Jet

Jet

Each final state parton becomesa jet of observable particles.

The process is called dijet production.

Page 7: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Robert Harris, Fermilab 7

Experimental Observation of Dijets

CalorimeterSimulation

ET

01

-1

Jet 1 Jet 2

Dijet Mass 2

212

21 )()( ppEEm

Dijets are easy to find Two jets with highest PT

in the event. No significant physics

backgrounds: photons and leptons are < 1% of jet rate at high mass.

CMS Barrel & Endcap Calorimeters

proton

=-1

proton

Jet 1

Jet 2

=1

Transverse

=0

You will makethis display

Page 8: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Dijet Mass Spectrum from QCD

Steeply falling spectrum.

Always use a log scale on the vertical axis.

We use variable mass bins on horizontal axis Here roughly the dijet

mass resolution So that a delta function

resonance would produce a peak in at least ~3-4 mass bins centered on the resonance.

Robert Harris, Fermilab 8

Page 9: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Events and Differential Cross Section Spectrums are frequently presented as a differential cross section

Events = Differential Cross Section x Integrated Luminosity x Bin Width To get differential cross section you need to divide by luminosity & bin width

Robert Harris, Fermilab 9

divide by luminosity & bin width

Page 10: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Dijet Angular Cuts

We will introduce two cuts on dijet angular quantities in the mass analysis | | < 1.3: to reduce the large QCD rate at high values | | | | < 2.5: to have a well defined region of inside barrel and endcap

Robert Harris, Fermilab 10

You will makethese plots for data

Page 11: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Dijet Resonances

Robert Harris, Fermilab 11

Page 12: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Robert Harris, Fermilab 12

Dijet Resonance Production

New particles that decay to dijets Produced in “s-channel” Parton - Parton Resonances

Observed as dijet resonances. Many models have small width

Produce narrow dijet resonances

X

q, q, g

q, q, g

q, q, g

q, q, g

Time

Sp

ace

MassR

ate

Breit-Wigner

M

1

1

2

1

1+

½+

0+

J P

qq0.01SingletZ ‘Heavy Z

q1q20.01SingletW ‘Heavy W

qq,gg0.01SingletGR S Graviton

qg …0.04MixedSString

qq0.05OctetCColoron

qq0.05OctetAAxigluon

qg0.02Triplet q*Excited Quark

ud0.004Triplet DE6 Diquark

Chan/ (2M)

Color XModel Name

Intrinsic Width

Page 13: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Dijet Resonance Shapes

Narrow dijet resonances after reconstruction.

Significantly larger width than intrinsic Breit-Wigner from two main sources

1. Detector resolution producing Gaussian Core

2. Final state radiation producing long tail to low mass. More from gluons than from quarks.

Robert Harris, Fermilab 13You will make

this plot for q*qg

Page 14: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Search using Dijet Mass

Robert Harris, Fermilab 14

Page 15: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Fitting Data for Background

We see if data is consistent with a smooth background

Fit data with a parameterization

Check that fit is good 2/DF close to 1 Probability > ~10 % If there was a big signal,

we wouldn’t get good fit !

No evidence for signalRobert Harris, Fermilab 15

You will makethis plot

Page 16: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Looking Closer at Fit: Pulls

Pulls show if fit is reasonable

Pulls = (Data – Fit) / Error Deviation between data and

fit in units of the error on each data point: “sigma”.

For a good fit the pulls should “scatter” like the error Oscillating about a pull of 0 ~1/3 of the points should be

have | pull | > 1 ~5% of the points should

have | pull | > 2 | pull | > 3 should be rare.

Fit looks goodRobert Harris, Fermilab 16

You will makethis plot

Page 17: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Size of Deviations: Residuals

Residuals, or fractional difference, shows the difference between data and fit in units of the fit

Residuals = (Data – Fit) / Fit = (Data / Fit ) - 1

You can show the shape and magnitude of a resonance on the same plot

Shows what we would expect to see if there was a signal

No evidence for signal

Robert Harris, Fermilab 17

You will makethis plot

Page 18: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Search using Dijet Ratio

Robert Harris, Fermilab 18

Page 19: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Robert Harris, Fermilab 19

Dijet Ratio

Dijet Ratio is a simple variable to measure angular distribution

Dijet Ratio = N(||<0.7) / N(0.7<||<1.3)

Number of events in which the two leading jet have ||<0.7, divided by the number with 0.7<||<1.3

Ratio >1 for signal and < 1 for QCD background.

Jet 1

Jet 2

Numerator| | < 0.7Signal rich

Denominator0.7<| | < 1.3QCD rich

Jet 1

Jet 2

z

z

Center of MomentumFrame

Page 20: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Angular Distributions & Dijet Ratio

Resonance signal is s-channel Practically flat in cos * Depends in detail on the spin of

the resonance and the spin of the decay products

Flat for Excited Quark signal

QCD is mainly t-channel Peaks at cos * = 1, large

Cos * ≈ tanh ( / 2 ) Outer cut at | | = 1.3

corresponds to cos * = 0.57 Inner cut at | | = 0.7 which

corresponds to cos * = 0.34.

Dijet Ratio increases with amount of signal

Robert Harris, Fermilab 20

*

Center of MomentumFrame

Parton Parton

Jet

Jet

outer cut

Inner cut

Page 21: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Dijet Ratio

Ratio is plotted versus dijet mass to scan for resonances

Ratio in data is flat and < 1 Consistent with QCD

Resonance signal creates a bump in dijet ratio At the same dijet mass

bins as it creates a bump in event rate

Critical confirmation of dijet resonance signal in the angular distribution !

Sensitive to spin of signal.

Robert Harris, Fermilab 21

You will makethis plot

Page 22: 1 Introduction to Dijet Resonance Search Exercise John Paul Chou, Eva Halkiadakis, Robert Harris, Kalanand Mishra and Jason St. John CMS Data Analysis.

Final Words

Doing this exercise will teach you the basics of a doing a simple search for dijet resonances

You will learn analysis by doing analysis

There are many things we do not teach and some things you need to ask questions to learn

Please do not hesitate to ask any questions No questions are too simple or too advanced

Good luck with your search for dijet resonances !

Robert Harris, Fermilab 22