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Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgr` o INFN–Pisa [email protected] on behalf of the Fermi LAT collaboration October 20, 2014

Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa [email protected] on behalf

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Page 1: Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa carmelo.sgro@pi.infn.it on behalf

Fermi-LATmeasurement of

cosmic-ray electronspectrum with Pass 8

Carmelo SgroINFN–Pisa

[email protected]

on behalf of the Fermi LATcollaboration

October 20, 2014

Page 2: Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa carmelo.sgro@pi.infn.it on behalf

The LAT as electron telescope

I The LAT is designed for E. M. showers

INaturally including electrons

(e+ + e�)I

No direct charge separation

I Triggering on (almost) every particlethat crosses the LAT

I Sending to ground all events depositingmore than 20 GeV in the CAL

I Electron identificationI

Dedicated event selection

I CRE spectrum and limits on anisotropyalready published

I The goal of Pass 8 electron analysis is:I

Update the results with a superior

event level analysis

IExtend the energy range Minimum Energy (GeV)

1 10 210 310 410

Dip

ole

Anis

otro

py

−310

−210

−110

LAT 95% ULVela

Carmelo Sgro (INFN–Pisa) October 20, 2014 2 / 14

Page 3: Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa carmelo.sgro@pi.infn.it on behalf

The new event reconstruction package: Pass 8

x

z

I Pass 8 is a complete rework of the entire event level analysisI

See Philippe Bruel talk (in session 10B) for details

I E↵ectively a new instrument, with superior performance

I Calorimeter clustering tohandle “ghost” events

I Tree-basedtracking patternrecognition

I Improved shower profile fit forenergy reconstruction

Carmelo Sgro (INFN–Pisa) October 20, 2014 3 / 14

Page 4: Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa carmelo.sgro@pi.infn.it on behalf

Introduction to the new analysis

Energy [GeV]210 310

sr]

2Ac

cept

ance

[m

0

1

2

3

4

5

PRELIMINARY

Trigger & FilterTrack found & energy

Minimal PSF quality

in the CAL0> 8 X

Alpha removal

I Basic quality cuts:I

At least a reconstructed track and 5 GeV of energy deposition in the CAL

IA loose selection on the PSF quality (using the same handle as in �-rayanalysis)

IAt least 8 radiation length in the CAL

I Alpha and heavier particles are removed using simple selections (next slide)I Field of view is limited to 60�

I Using all runs in survey mode available up to now: ⇠3.9 year of livetimeCarmelo Sgro (INFN–Pisa) October 20, 2014 4 / 14

Page 5: Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa carmelo.sgro@pi.infn.it on behalf

Alpha particle removal

ACD tile energy (MeV)1 10 210 310

Cou

nts/

bin

0

500

1000

1500

2000

2500

3000

3500

4000Proton

Alpha

Ions

PRELIMINARY

I Alpha and ions are relatively easy to separate using, e.g., the pulse heightinformation in the ACD and the tracker

I Their hadronic interactions are comparatively hard to simulate

I We have a series of simple cuts to bring down the alpha/ion contaminationto a negligible level

IIn the following stages of the event selection we are essentially dealing with

only two classes of events (electrons and protons)

Carmelo Sgro (INFN–Pisa) October 20, 2014 5 / 14

Page 6: Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa carmelo.sgro@pi.infn.it on behalf

Electron identification: event classification

I Take advantage of the experience with� rays

ISelect �/e±/etc. candidate at

di↵erent background level

IAssess the quality of the

reconstructed direction and energy

I Extensive use of multivariateclassification technique

IExploiting the TMVA package

(http://tmva.sourceforge.net)

IBoosted Decision Trees (BDT)

provide the best performance

I Several combination of trainingsetting tested

IBDT parameters (tree depth,

boosting, etc...)

IInput variables

I Decision Tree:I

Sequential application of cuts

splits the data into nodes, where

the final nodes classify an event

as Signal or Background

IWell known in “data mining”,

becoming popular in Physics

Carmelo Sgro (INFN–Pisa) October 20, 2014 6 / 14

Page 7: Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa carmelo.sgro@pi.infn.it on behalf

Relevant quantities in the subsystems

2χShower profile fit 0 50 100 150 200

Rat

e [H

z]

0

0.001

0.002

0.003

0.004 = 0.44--1.00]θ[112.2--144.5 GeV, cos

±MC r/w eMC r/w pMC sum

PRELIMINARY I Shower transverse size

I Shower profile fit �2

I ...

TKR average time over threshold (MIPs)0 2 4 6 8 10

Rat

e [H

z]

0

0.0002

0.0004

0.0006

0.0008

0.001 = 0.44--1.00]θ[112.2--144.5 GeV, cos

±MC r/w eMC r/w pMC sum

PRELIMINARYI Time Over Threshold: energy

deposition in the TKR

I Extra hits around the main track

I ...

Carmelo Sgro (INFN–Pisa) October 20, 2014 7 / 14

Page 8: Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa carmelo.sgro@pi.infn.it on behalf

Output of the classifier

Electron Classifier Output-3 -2.5 -2 -1.5 -1 -0.5 0

Rat

e [H

z]

0

5

10

15

20

25-610×

/ndof = 115.5/542χ (x 0.87)±MC r/w e

MC r/w p (x 1.58)MC sumFlight data

= 0.50--1.00]θ[563.3--648.0 GeV, cos

90%50%

20%

PRELIMINARY

I Example of one of the BDT weare using

I Others classifier configurationsunder evaluation, with sameprocedure

I Compared with flight dataI

Testing the data-MC agreement

IUsing MC with a realistic energy

spectrum

I Fitting only normalization

IEstimating signal directly from the fit

IEstimating the residual background

correction

I Event selection done with a cuton this quantity

IScanning several e�ciency

level

ITesting stability of the

spectrum

IResidual contamination

corrected with fit result

Carmelo Sgro (INFN–Pisa) October 20, 2014 8 / 14

Page 9: Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa carmelo.sgro@pi.infn.it on behalf

Instrument response

Energy [GeV]210 310

sr]

2Ac

cept

ance

[m

0

0.5

1

1.5

2

2.5

3 Efficiency scanBest selection PRELIMINARY

Energy [GeV]210 310

Con

tam

inat

ion

0

0.1

0.2

0.3

0.4

0.5

0.6

0.7

0.8

Efficiency scanBest selection

PRELIMINARY

I Testing the stability of thespectrum in this very wide range

ISpectrum variation likely relate

to data-MC disagreement

I Form 90% to 20%, (almost)energy-independent

IMaybe a too wide...

I Average acceptance (after cuts) forthis scan shown on the left

I “Best” cut can be evaluated usingthe MC-based ROC, as the pointin which the slope goes above adefined threshold

I Bottom plot shows thecorresponding residualcontamination

ICan be very large at high energy

Carmelo Sgro (INFN–Pisa) October 20, 2014 9 / 14

Page 10: Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa carmelo.sgro@pi.infn.it on behalf

Preliminary e+ + e� spectrum

Energy [GeV]210 310

]-1

sr

-2 m

-1 s

-1 J

(E) [

GeV

× 3 E

0

50

100

150

200

250

300

350Fermi (2010)AMS-02 preliminaryH.E.S.S. (2010)Fermi (2012)Fermi Pass 8 PRELIMINARY

I Shaded region includesthe maximum variationof the spectrum in thee�ciency scan

I Central points fromthe “best” cut

I Result from templatefit within uncertainties

I E↵ect of absolute energy scale uncertainty not included in the plotI We have evidence that at least a significant part of the di↵erence with

our 2010 result is due to “ghost” signalI

This was not taken into account in the acceptance in our first analysis

ISubsequent studies (e.g. the control region in the positron analysis) suggest

an overestimation of acceptance by 10–15% at ⇠ 10 GeV

IPass 8 is designed to be insensitive to “ghost”

Carmelo Sgro (INFN–Pisa) October 20, 2014 10 / 14

Page 11: Fermi-LAT measurement of cosmic-ray electron spectrum ......Fermi-LAT measurement of cosmic-ray electron spectrum with Pass 8 Carmelo Sgro INFN–Pisa carmelo.sgro@pi.infn.it on behalf

Conclusions

I A new measurement of the e+ + e� spectrum with ⇠ 6 years of data andextending to 1.2 TeV is presented

I The new Pass 8 event reconstruction and selection performs very wellI

Better rejection power than the previous analysis

INo sign of dependence from “ghost” signal

I Pass 8 is still young also for electron analysesI

Results are preliminary

IWorking on improvements for energy extension, angle-resolved analyses,

reduced systematics

Carmelo Sgro (INFN–Pisa) October 20, 2014 11 / 14