the fermi large area telescope as a high-energy electron...

29
The Fermi Large Area Telescope as a high-energy electron detector Luca Baldini INFN–Pisa [email protected] on behalf of the Fermi-LAT collaboration RICAP, May 13, 2009

Upload: others

Post on 02-Feb-2021

1 views

Category:

Documents


0 download

TRANSCRIPT

  • The Fermi LargeArea Telescopeas a high-energy

    electrondetector

    Luca BaldiniINFN–Pisa

    [email protected]

    on behalf of the Fermi-LATcollaboration

    RICAP, May 13, 2009

  • The Large Area Telescope

    Large Area telescope

    I Overall modular design.

    I 4× 4 array of identical towers (each one including a tracker and a calorimeter module).I Tracker surrounded by and Anti-Coincidence Detector (ACD)

    Luca Baldini (INFN) RICAP, May 13, 2009 2 / 24

  • The Large Area Telescope

    Large Area telescope

    I Overall modular design.

    I 4× 4 array of identical towers (each one including a tracker and a calorimeter module).I Tracker surrounded by and Anti-Coincidence Detector (ACD)

    Tracker

    I Silicon strip detectors,W conversion foils; 1.5radiation lengthson-axis.

    I 10k sensors, 80 m2 ofsilicon active area, 1Mreadout channels.

    I High-precision tracking,short dead time.

    Anti-CoincidenceDetector

    I Segmented (89 tiles) asto minimize self-veto athigh energy.

    I 0.9997 averagedetection efficiency.

    Calorimeter

    I 1536 CsI(Tl) crystal; 8.6 radiationlengths on-axis.

    I Hodoscopic, 3D shower profilereconstruction for leakage correction.

    Luca Baldini (INFN) RICAP, May 13, 2009 2 / 24

  • Trigger and filter

    I Five hardware trigger primitives (at the tower level).I TKR: three x-y tracker planes hit in a row.I CAL LO: single log with more than 100 MeV.I CAL HI: single log with more than 1 GeV.I ROI: MIP signal in a ACD tiles close to a triggering tower.I CNO: heavy ion signal in the ACD.

    I Upon L1 trigger the entire detector is read out.I Need onboard filtering to fit the data volume within the

    allocated bandwidth.I GAMMA: rough onboard photon selection.

    I All events with raw energy greater than 20 GeV downlinked.I Primary source of high-energy e+ e−.

    I HIP: heavy ions for CAL calibration.I DGN: prescaled (×250) unbiased sample of all trigger types.

    I Source of low-energy e+ e−, decent statistics up to 100 GeV.

    I MIP: straight tracks for alignment (only in dedicated runs).

    Luca Baldini (INFN) RICAP, May 13, 2009 3 / 24

  • Fermi sensitivity to cosmic-ray electrons. . . where ”electrons” really means ”electrons and positrons”

    sr)⋅2Peak geometric factor (m-210 -110 1 10

    Obs

    erva

    tion

    time

    (s)

    610

    710

    810

    S. Tori

    i et al.

    2001

    PPB-B

    ETS

    Fermi

    (6 mon

    ths)

    Fermi

    (5 year

    s)

    J. Chan

    g et al

    . 2008

    ATIC

    T. Koba

    yashi e

    t al. 19

    99

    Emuls

    ion ch

    amber

    s

    Gf = Aeff × Ω (after the selection cuts)Nobs = Flux× Gf × Tobs

    Luca Baldini (INFN) RICAP, May 13, 2009 4 / 24

  • Fermi sensitivity to cosmic-ray electrons. . . where ”electrons” really means ”electrons and positrons”

    sr)⋅2Peak geometric factor (m-210 -110 1 10

    Obs

    erva

    tion

    time

    (s)

    610

    710

    810

    S. Tori

    i et al.

    2001

    PPB-B

    ETS

    Fermi

    (6 mon

    ths)

    Fermi

    (5 year

    s)

    J. Chan

    g et al

    . 2008

    ATIC

    T. Koba

    yashi e

    t al. 19

    99

    Emuls

    ion ch

    amber

    s

    s)⋅ sr ⋅2 Geo. Factor (m×Obs. Time

    410 510 610 710 810 910 1010

    Electrons above 100 GeV210 310 410 510 610 710

    PPB-B

    ETS

    Fermi

    (6 mon

    ths)

    Fermi

    (5 year

    s)

    ATIC

    Emuls

    ion ch

    amber

    s

    Gf = Aeff × Ω (after the selection cuts)Nobs = Flux× Gf × Tobs

    Luca Baldini (INFN) RICAP, May 13, 2009 4 / 24

  • Event topology

    Candidate electron475 GeV raw energy, 834 GeV reconstructed

    I Well defined (not fully contained) symmetricshower in the calorimeter.

    I Clean main track with extra clusters close to thetrack (note backsplash from the calorimeter).

    I Relatively few ACD tile hits, mainly inconjunction with the track.

    Candidate hadron823 GeV raw energy, 1 TeV reconstructed

    I Large and asymmetric shower profile in thecalorimeter.

    I Small number of extra clusters around maintrack, many clusters away from the track.

    I Different backsplash topology, large energydeposit per ACD tile.

    Tranverse shower size: 23.2 mmFractional extra clusters: 1.48Average ACD tile energy: 2.46 MeVEnergy reconstruction quality: 0.73

    Tranverse shower size: 34.4 mmFractional extra clusters: 0.17Average ACD tile energy: 10.2 MeVEnergy reconstruction quality: 0.15

    Luca Baldini (INFN) RICAP, May 13, 2009 5 / 24

  • Event selection

    Energy (MeV)510 610

    Had

    ron

    reje

    ctio

    n po

    wer

    1

    10

    210

    310

    410

    qualityquality + calquality + cal + tkrquality + cal + tkr + acdquality + cal + tkr + acd + CT

    I Few hundreds top level quantities describing the eventtopology in our summary n-tuples (≈few tens used).

    I Developed for the γ analysis, appropriate for electrons.I Three main steps, in which all the subsystems contribute.

    I Basic quality cuts (requiring ACD signal to remove gammas)I Event topology in the tracker, calorimeter and ACD.I Classification tree analysis:

    Luca Baldini (INFN) RICAP, May 13, 2009 6 / 24

  • Monte Carlo validation with beam tests

    Luca Baldini (INFN) RICAP, May 13, 2009 7 / 24

  • Monte Carlo validation with flight dataShower transverse size above 150 GeV

    Ent

    ries/

    bin

    0

    500

    1000

    1500 cut va

    luee+ e-

    hadrons

    Shower tranverse size (mm)10 15 20 25 30 35 40 45 50

    Ent

    ries/

    bin

    0

    500

    1000

    1500Flight data

    Monte Carlo

    Ent

    ries/

    bin

    0

    500

    1000

    cut va

    luee+ e-

    hadrons

    Shower tranverse size (mm)10 15 20 25 30 35 40 45 50

    Ent

    ries/

    bin

    0

    500

    1000

    Flight data

    Monte Carlo

    I Data/Monte Carlo comparison routinely performed for:I all variables involved in the selection;I at different stages of the selection.

    I Overall good agreement, residual discrepancies propagated tothe spectrum and included into the systematics (more later).

    Luca Baldini (INFN) RICAP, May 13, 2009 8 / 24

  • Monte Carlo validation with flight dataCT combined electron probability above 150 GeV

    Ent

    ries/

    bin

    0

    1000

    2000 cut va

    lue e+ e-

    hadrons

    Combined CT electron probability0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

    Ent

    ries/

    bin

    0

    1000

    2000

    Flight data

    Monte Carlo

    Ent

    ries/

    bin

    0

    200

    400

    600

    800

    cut va

    lue e+ e-

    hadrons

    Combined CT electron probability0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 1

    Ent

    ries/

    bin

    0

    200

    400

    600

    800 Flight data

    Monte Carlo

    I Two different CT ensembles (based on TKR and CAL).I Each one providing an event based electron probability.

    I Combined with the general (energy-dependent) scheme

    pcomb = k√

    ptkr · pcal/(log E − log E0)

    Luca Baldini (INFN) RICAP, May 13, 2009 9 / 24

  • Energy resolution: prelude

    Total traversed X00 5 10 15 20 25 300

    100

    200

    300

    310×

    I The LAT calorimeter is 8.6 X0 deep on axis.I The tracker adds up 1.5 X0 of material on axis.

    I 1.5 X0 of finely segmented active material, providing additionalrejection power.

    I The LAT is a wide-field-of-view instrument.I Candidate electrons traverse ≈ 12.5 X0 on average.

    Luca Baldini (INFN) RICAP, May 13, 2009 10 / 24

  • Energy resolution

    Energy (GeV) 10 210 310

    E/E

    ∆F

    ull w

    idth

    0

    0.2

    0.4

    0.6

    LAT 95%LAT 68%

    ) °Beam Test MC 68% (60) °Beam Test Data 68% (60

    ) °Beam Test MC 68% (0) °Beam Test Data 68% (0

    LAT 95%

    LAT 68%

    )°Beam Test 68% (0

    )°Beam Test 68% (60

    I Validated with the Calibration Unit beam test up to 280 GeV.I Excellent agreement over the whole (energy, angle, position)

    phase space.I We have a solid ground in extrapolating to 1 TeV.

    I Our energy dispersion is adequate for the measurement.

    Luca Baldini (INFN) RICAP, May 13, 2009 11 / 24

  • Sources of systematic errors

    I Uncertainty in our knowledge of the geometry factor.I Data/Monte Carlo agreement extensively studied for each

    single variable involved in the selection (bin by bin).I All the residual discrepancies mapped and propagated to the

    actual spectrum.I Ranging from a few % to ' 20% depending on energy.

    I Normalization of the primary proton spectrum.I Affecting the electron spectrum through the subtraction of the

    residual hadron contamination

    I LAT absolute calibration of the energy scaleI Unlike the other terms does not introduce energy-dependent

    modifications of the spectrum.I From beam test data, calibration and flight data, the

    systematic uncertainty on the absolute energy is (+5%, -10%)

    Luca Baldini (INFN) RICAP, May 13, 2009 12 / 24

  • Evaluation of the systematic uncertainties

    Selection variable (a. u)

    p. d

    . f

    − e+e had

    rons

    Data1c2c3c

    Selection variable (a. u)

    p. d

    . f

    − e+e had

    rons

    Monte Carlo1c2c3c

    Energy (GeV)

    210 310

    Eve

    nt r

    ate

    (a. u

    .)

    1c2c

    3c −

    Energy (GeV)210 310

    Bac

    kgro

    und

    rate

    (a.

    u.)

    1c2c

    3c

    /

    Energy (GeV)210 310

    Geo

    met

    ry fa

    ctor

    (a.

    u.)

    1c2c

    3c

    =

    Energy (GeV)210 310

    J (

    a. u

    .)× 3

    E

    3, c

    2, c1c

    Evaluating the systematics

    I If the data/MC agreement was perfect, theactual spectrum would not depend on thecut values.

    Luca Baldini (INFN) RICAP, May 13, 2009 13 / 24

  • Evaluation of the systematic uncertainties

    Selection variable (a. u)

    p. d

    . f

    − e+e had

    rons

    Data1c2c3c

    Selection variable (a. u)

    p. d

    . f

    − e+e had

    rons

    Monte Carlo1c2c3c

    Energy (GeV)

    210 310

    Eve

    nt r

    ate

    (a. u

    .)

    1c2c

    3c −

    Energy (GeV)210 310

    Bac

    kgro

    und

    rate

    (a.

    u.)

    1c2c

    3c

    /

    Energy (GeV)210 310

    Geo

    met

    ry fa

    ctor

    (a.

    u.)

    1c2c

    3c =

    Energy (GeV)210 310

    J (

    a. u

    .)× 3

    E 1c2c3c

    Evaluating the systematics

    I In real life data/MC discrepancies introducesuch a dependence.

    Luca Baldini (INFN) RICAP, May 13, 2009 13 / 24

  • Evaluation of the systematic uncertainties

    Selection variable (a. u)

    p. d

    . f

    − e+e had

    rons

    Monte Carlo1c2c3c

    Energy (GeV)210 310

    J (

    a. u

    .)× 3

    E 1c2c3c

    Evaluating the systematics

    I The induced variations in the spectrumeffectively map the data/MC discrepancies.

    I Exercise carefully performed for each energybin and for each single variable involved inthe selection (fwf % to ≈ 20% dependingon energy).

    I Event selection is a trade-off betweenelectron efficiency, hadron rejection andcontrol of systematic effects.

    Luca Baldini (INFN) RICAP, May 13, 2009 13 / 24

  • Conclusions

    I The Fermi LAT Area Telescope is a powerful high-energyelectron detector

    I Unprecedented geometric factor and observation time in themulti-100 GeV energy range.

    I Hadron rejection power and energy reconstruction are the keyissues.

    I Very detailed Monte Carlo simulation framework including allthe relevant aspects of the detector.

    I Extensively validated at beam tests.I Extensively validated with flight data.I Background rejection and energy resolution under control and

    adequate for the measurement.

    I The Fermi LAT is able to provide a measurement of the CRelectron spectrum up to 1 TeV only limited by systematics.

    I Actual results and interpretation after the coffe break!

    Luca Baldini (INFN) RICAP, May 13, 2009 14 / 24

  • Conclusions

    Spare slides

    Luca Baldini (INFN) RICAP, May 13, 2009 15 / 24

  • Energy resolution: validation with beam test

    Layer number0 1 2 3 4 5 6 7

    En

    erg

    y p

    eak

    (MeV

    )

    200

    400

    600

    800

    1000

    1200

    Energy Profile (Beam P = 10 GeV/c, Theta = 0)

    Layer number0 1 2 3 4 5 6 7

    En

    erg

    y p

    eak

    (MeV

    )

    500

    1000

    1500

    2000

    2500

    Energy Profile (Beam P = 20 GeV/c, Theta = 0)

    Layer number0 1 2 3 4 5 6 7

    En

    erg

    y p

    eak

    (MeV

    )

    0

    1000

    2000

    3000

    4000

    5000

    6000

    Energy Profile (Beam P = 50 GeV/c, Theta = 0)

    Layer number0 1 2 3 4 5 6 7

    En

    erg

    y p

    eak

    (MeV

    )

    0

    2000

    4000

    6000

    8000

    10000

    12000

    Energy Profile (Beam P = 100 GeV/c, Theta = 0)

    Layer number0 1 2 3 4 5 6 7

    En

    erg

    y p

    eak

    (MeV

    )

    0

    2000

    4000

    6000

    8000

    10000

    12000

    14000

    16000

    18000

    20000

    22000

    24000

    Energy Profile (Beam P = 200 GeV/c, Theta = 0)

    Layer number0 1 2 3 4 5 6 7

    En

    erg

    y p

    eak

    (MeV

    )

    0

    5000

    10000

    15000

    20000

    25000

    30000

    Energy Profile (Beam P = 280 GeV/c, Theta = 0)

    10 GeV on axis 20 GeV on axis

    50 GeV on axis 100 GeV on axis

    200 GeV on axis 280 GeV on axis

    Luca Baldini (INFN) RICAP, May 13, 2009 16 / 24

  • Shower profile: Monte Carlo vs. flight dataAfter the electron selection, integrated over all angles

    Layer number0 1 2 3 4 5 6 7 8

    Ave

    rage

    laye

    r en

    ergy

    (G

    eV)

    0

    20

    40

    60

    80

    100

    Monte CarloFlight data

    Measured energy: 246−−291 GeV

    Layer number0 1 2 3 4 5 6 7 8

    Ave

    rage

    laye

    r en

    ergy

    (G

    eV)

    0

    20

    40

    60

    80

    100

    Monte CarloFlight data

    Measured energy: 346−−415 GeV

    Layer number0 1 2 3 4 5 6 7 8

    Ave

    rage

    laye

    r en

    ergy

    (G

    eV)

    0

    20

    40

    60

    80

    100

    Monte CarloFlight data

    Measured energy: 503−−615 GeV

    Layer number0 1 2 3 4 5 6 7 8

    Ave

    rage

    laye

    r en

    ergy

    (G

    eV)

    0

    20

    40

    60

    80

    100

    Monte CarloFlight data

    Measured energy: 772−−1000 GeV

    Luca Baldini (INFN) RICAP, May 13, 2009 17 / 24

  • Shower profile: flight dataAfter the electron selection, integrated over all angles

    Layer number0 1 2 3 4 5 6 7 8

    Ave

    rage

    laye

    r en

    ergy

    (G

    eV)

    0

    20

    40

    60

    80

    210−−246 GeV 246−−291 GeV

    291−−346 GeV346−−415 GeV

    415−−503 GeV

    503−−615 GeV

    615−−772 GeV

    772−−1000 GeV

    I Showers of different energies look different in the detectors(i.e. can be distinguished).

    I The shower maximum at 1 TeV is at 11.5 X0 (candidateelectrons traverse ≈ 12.5 X0).

    Luca Baldini (INFN) RICAP, May 13, 2009 18 / 24

  • Energy resolution and spectral features

    Energy (GeV)210 310

    )2

    GeV

    -1 s

    r-1

    s-2

    J(E

    ) (m

    × 3

    E

    210

    ATIC (2008)Fermi (2009)Model, no smear

    )σE/E = 12% (1 ∆Model, )σE/E = 25% (1 ∆Model,

    I Model adapted from Chang et al. 2008:I broken power law with Γ = −3.1 below 1 TeV, −4.5 above;I harder (Γ = −1.5) feature with break at 620 GeV.

    I 12% is a conservative estimation for Fermi in the 100s GeV.

    Luca Baldini (INFN) RICAP, May 13, 2009 19 / 24

  • Energy reconstruction quality

    Measured energy/true energy0 0.2 0.4 0.6 0.8 1 1.2 1.4 1.6 1.8 20

    200

    400

    600

    800

    301−−412 GeV

    I Probability of good energy reconstruction: diagnostic outputof our energy analysis.

    I A CT is trained to identify events in the core of the energydispersion.

    Luca Baldini (INFN) RICAP, May 13, 2009 20 / 24

  • Energy reconstruction quality

    0

    50

    100

    e+ e-

    hadrons

    Good energy reconstruction probability0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

    50

    100

    Flight data

    Monte Carlo

    0

    50

    100e+ e-

    hadrons

    Good energy reconstruction probability0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 10

    50

    100 Flight data

    Monte Carlo

    I Distribution of the probability of good energy reconstructionprovided by the standard energy classification tree analysis.

    I Events above 400 GeV at two different stages of the selection.

    Luca Baldini (INFN) RICAP, May 13, 2009 21 / 24

  • Energy resolution and spectral features

    Luca Baldini (INFN) RICAP, May 13, 2009 22 / 24

  • Energy resolution and spectral features

    Luca Baldini (INFN) RICAP, May 13, 2009 22 / 24

  • The observatory

    Large Area Telescope (LAT)

    I Huge field of view:

    I 20% of the sky at any time;I all parts of the sky for 30 minutes

    every 3 hours.

    I Long observation time:

    I 5 years minimum lifetime (10planned);

    I 85% duty cycle (SAA).

    I Great potential to tag electrons in themulti-100 GeV range:

    I advanced particle detectors;I all events above 20 GeV sent to

    ground.

    Gamma-ray Burst Monitor (GBM)

    I 12 NaI and 2 BGO detectors.

    I Energy range: 8 keV–30 MeV.

    Luca Baldini (INFN) RICAP, May 13, 2009 23 / 24

  • The launch

    Launch

    I Launched on June 11, 2008 from the Kennedy Space Center.

    I Launch vehicle: Delta 2920H-10.

    I Circular orbit, 565 km altitude, 25.6◦ inclination.

    Luca Baldini (INFN) RICAP, May 13, 2009 24 / 24