gamma-ray results from fermi indirect detection of dark matter

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Gamma-Ray Results from Fermi Indirect Detection of Dark Matter Robert P. Johnson U.C. Santa Cruz Department of Physics and Santa Cruz Institute for Particle Physics Representing the Fermi-LAT Collaboration

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Gamma-Ray Results from Fermi Indirect Detection of Dark Matter. Robert P. Johnson U.C. Santa Cruz Department of Physics and Santa Cruz Institute for Particle Physics Representing the Fermi-LAT Collaboration. Fermi Observatory. - PowerPoint PPT Presentation

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Page 1: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

Gamma-Ray Results from FermiIndirect Detection of Dark Matter

Robert P. JohnsonU.C. Santa Cruz

Department of Physics andSanta Cruz Institute for Particle Physics

Representing the Fermi-LAT Collaboration

Page 2: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

Large Area Telescope (LAT)D.o.E.

Fermi Observatory

• Successful collaboration of particle physicists and astrophysicists.

• 3 ton particle detector “telescope”.• million amplifiers; 5 computers.

GBM-ray Burst

Monitor

ApJ 697, 1071, 2009 

STScI 2011

Page 3: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 3STScI 2011

2-Year All-Sky Map, E>1 GeV

The full Fermi-LAT photon data set is public, so contributions to DM searches have come from both within and outside the LAT collaboration.

Counts Map

The entire sky is viewed by the LAT every three hours.

Page 4: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 4STScI 2011

1451 Sources (>4 significance)

630

First 11 months of data

New classes not associated (confidently) with -ray sources in 3rd EGRET catalog.

2FGL is coming soon: >1800 sources

Ap.J. Supp. 188 (2010) 405

Page 5: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 5

Searches for Dark Matter Annihilation (or Decay)

• Exclusive final states: or Z– Unambiguous line signature.– But very low expected rates.

• Inclusive production (primarily 0 decays and inverse Compton scattering).– Much higher rates, but the signal spectrum is not so easy to

differentiate from diffuse and point-source backgrounds.– Localized sources:

• Galactic center.• Dwarf spheroidal galaxies.• Dark satellites.• Galaxy clusters.

– Diffuse sources:• Galactic halo.• Isotropic extragalactic diffuse emission.

STScI 2011

?

Page 6: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 6

Gamma-Ray Line Search, Year 1Example fit, at 40 GeV (the fit with the largest line “signal”)

Fit to a power-law background plus a line at 40 GeV.

The signal fraction and the power-law index float freely in the fit.

STScI 2011

11 Months of data

Almost all sky:

Galactic plane removed, except for Galactic center.

Sources removed by 0.2 cut.

PRL 104, 091302 (2010)

Page 7: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 7

Gamma-Ray Line Search DM LimitsCross Section Upper Limits, for annihilation to

0 50 100 150 200

1.4E-28

1.4E-27

1.4E-26

NFWEinastoIsothermal

Energy (GeV)

95%

C.L

. upp

er li

mit

on

v (c

m3/

s)

(i.e. annihilation cross section times B.R. to )

PRL 104, 091302 (2010)

STScI 2011

Can rule out some esoteric models such as G. Kane et al., PAMELA Satellite Data as a Signal of Non-Thermal Wino LSP Dark Matter, Phys. Lett. B681:151, 2009.

Page 8: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 8

Line Analysis of 2 Years of Data

STScI 2011

Work extending the Fermi-LAT line analysis to 2 years of data will be presented next week at the Fermi Symposium.• Improved (not yet public) energy

estimator based on shower profiles.• Studies of systematic effects in the

energy using control samples (e.g. limb photons).

Energy (GeV)

Page 9: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 9

WIMP Mass (GeV)

Line Analysis of 2 Years of Data

STScI 2011

Non-LAT-collaboration analysis,Gilles Vertongen, Christoph Weniger, arXiv:1101.2610v1.

This extends to much lower energy than the LAT results. The LAT team has been investigating systematic effects there, including a 4 significance “signal” at 6.5 GeV caused by systematic errors in the energy estimator.

Work extending the Fermi-LAT line analysis to 2 years of data will be presented next week at the Fermi Symposium.• Improved (not yet published)

energy estimator based on shower profiles.

• Studies of systematic effects in the energy using control samples (e.g. limb photons).

Preliminary

Page 10: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 10

Galactic Center

STScI 2011 10

>32 months counts map with 1FGL sources plotted, LAT front section only for E>1 GeV

+ Pulsarso Other Sources

Two LAT sources closest to the GC:• 1FGL J1745.6-2900c, 0.08 (HESS J1745-290?)• 1FGL J1746.4-2849c, 0.2 (PWN)

PWNHESS? PWN?

10 square

b

Page 11: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 11

Galactic Center

STScI 2011

>32 months counts map with 1FGL sources plotted, LAT front section only for E>1 GeV

+ Pulsarso Other Sources

Two LAT sources closest to the GC:• 1FGL J1745.6-2900c, 0.08 (HESS J1745-290?)• 1FGL J1746.4-2849c, 0.2 (PWN)

PWNHESS? PWN?

10 square

b

LAT front PSF at 1 GeV is about 0.5.

A 0.5 cone at the GC covers 150 parsec diameter!

ChandraX-rayimage

52 pc

40 pc

Page 12: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 12

DM Detection in the GC?• Thin converters (front section)

only, so the 68% containment angle at 1 GeV is 0.5.

• The disk model is fit to data along the Galactic ridge near the GC.

• The bulge model is spherically symmetric and fits the data well outside of 2 degrees.

STScI 2011

Hooper, Goodenough, Phys. Lett. B697, 412-428, 2011

Dashed: disk modelDotted: bulge model

Excess point-like contribution

Page 13: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 13

DM Detection in the GC?

STScI 2011

Hooper, Goodenough, Phys. Lett. B697, 412-428, 2011

Dashed: disk modelDotted: bulge model

Spherical point-like

excess

Extrapolation from TeV HESS source

• Thin converters (front section) only, so the 68% containment angle at 1 GeV is 0.5.

• The disk model is fit to data along the Galactic ridge near the GC.

• The bulge model is spherically symmetric and fits the data well outside of 2 degrees.

• The point-like excess cuts off above about 8 GeV and is not consistent with extrapolation from the HESS TeV source HESS J1745-290.

• Inclusion of a cusped DM profile improves the fit, and the data are consistent with annihilation of a 7 to 10 GeV WIMP of <v>31026 cm3/s.

• Other analyses, e.g. Boyarski et al., ArXiV:1012.5839v1, show consistency with diffuse emission and a GC point source.

MSP explanation: Kevork N. Abazajian, arXiv:1011.4275v3

Page 14: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 14

LAT Galactic Center Region Spectrum

STScI 2011

The Fermi-LAT collaboration has yet to publish on the GC region, other than the published catalog sources.This plot is for next week’s Fermi Symposium, showing an example spectral fit in a 5 square region about the GC, including numerous sources plus a particular GALROP model for the diffuse.Some residuals are apparent around a few GeV but are at no more than the 5% level.

Sources (solid)

Dashed Lines:Galactic Diffuse ModelIsotropic Diffuse

Solid Lines: Sources

Frac

tiona

l Re

sidu

als

Preliminary

Preliminary

Page 15: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 15

LAT Galactic Center Spatial Residuals

STScI 2011

1<E<3 GeV35% +35%

3<E<10 GeV55% +90%

10<E<30 GeV60% +250%

5 degree square region about the GC

0.1 degree square pixels

(counts model)/model

Preliminary Preliminary Preliminary

Page 16: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 16

Galactic Halo

STScI 2011

• 100 GeV WIMP annihilating to b quarks with v=31026 cm3/s.

• Via-Lactea II Galaxy model, including boost for unresolved substructure.

GALPROP

|b|>10

The DM signal is a small bump on a very large diffuse background.Fermi will have the statistical power to see it, but Systematic uncertainties in the background models! Systematic uncertainties in the instrumental effective area!

Via Lactea II: Diemand et al 2008, Nature 454, 735.

GALPROP: Strong, Moskalenko, Reimer 2000, ApJ. 437, 763.

Page 17: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 17

High Latitude Diffuse Emission

• The first Fermi-LAT publication on the galactic diffuse spectrum strongly disagreed with the EGRET spectrum.

• In particular, there is no huge “GeV excess” with respect to standard models of the diffuse production from cosmic rays.

STScI 2011

PRL 103, 251101, 2009

|b|>10, so most of the diffuse emission is local (especially for 0)

Page 18: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 18

Local Diffuse Emission• View toward the 2nd Galactic quadrant, including the

Galactic plane. – Dominated by the Gould belt and local arm.– Good kinematic separation of radio signatures

• View toward the 3rd Galactic quadrant, but large Galactic latitude. Region with no large molecular clouds and with most of the atomic hydrogen within 1 kpc.

STScI 2011

The gamma-ray data are well modeled by the local cosmic-ray spectra, but the HI emissivity in the 2nd quadrant must be increased relative to prior estimates.

Abdo et al. 2009, ApJ 703, 1249

15<b<30

|b|>22

Abdo et al. 2009, ApJ 710, 133

Page 19: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 19

High Latitude Diffuse Emission

STScI 2011

Source Dist., Halo h, Halo R, Spin Temp, Dust

XCO is fit to gamma rays

From Dec. 2010 talk by Gudlaugur Johannesson in Paris (“Dark Matter All Around”)

• Extensive work under way to model the diffuse emission.

• Right: one of a grid of 128 GALPROP models.

• All models respect constraints from local cosmic ray measurements (e.g. B/C ratio).

• No obvious “best model”, and small but significant residuals persist.

• This high latitude excess is similar to what some analyses see in the GC region.

• Spatial residuals are under 10% except in lobes, Loop-1, and outer galaxy.

Page 20: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 20

Halo Dark Matter Limits

STScI 2011

Two groups within the LAT collaboration have been working for some time on deriving DM limits from the diffuse analysis.

– No models give high quality fits over the full sky (|b|>10).• Large spatial and spectral residuals, compared with the small LAT

statistical errors!• (The official LAT diffuse model (ring model) has far too many ad-hoc

parameters to be used in searches for new physics.)– Not surprising, given the residuals that we have seen above, the fits

often give a positive value for the DM abundance, but• No confidence in ruling out systematic errors in the diffuse background

model and in the LAT effective area as the source of the residuals!– Very difficult to quantify with any rigor the effects of uncertainty in the

diffuse background model and the effective area.– Nevertheless, we expect these analyses to converge on publishable

limits this year

Page 21: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 21

DM Limits from High Latitude Diffuse• 21 months of data from 800 MeV to 100 GeV• ROI: 5|b|15; 75 75• Blue curves are very conservative upper limits derived assuming that all

diffuse photons are from dark matter.• The shaded region is excluded by a fit that includes a Galactic diffuse model

as well as dark matter and the isotropic diffuse.• Normalizations, in several Galactocentric rings, of GALPROP cosmic-ray

interactions with gas maps (HI and H2) and ISRF, are allowed to vary freely in the fit, as is the isotropic diffuse.

STScI 2011

Page 22: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 22

Dwarf Spheroidal Galaxies

Large satellite galaxies

Well-known dSphs

dSphs discovered by SDSS

Belokurov, V., et al. 2007, ApJ, 654, 897

STScI 2011

Page 23: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 23

Dwarf Spheroidal Galaxies, DM Search

Belokurov, V., et al. 2007, ApJ, 654, 897

Select 10 dSphs away from the galactic plane and not too distant.Require good stellar kinematic data and high mass/light of 10 to over 1000.

STScI 2011

No gamma ray signal is seen yet from any of these sources.

Page 24: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 24

Dwarf Spheroidal Galaxies DM Limits• Stellar data from Keck (Bullock, Kaplinghat, Martinez) were used to evaluate the

DM content of each of 8 dwarfs, to translate the flux limits into annihilation cross section limits. No substructure boost assumed.

• Red points are MSSM models with a cosmological WIMP thermal relic density compatible with WMAP data.

STScI 2011

ApJ 712 (2010) 147.

31026 cm3/s

Published results based on the first 11 months of data.

v

(10

26 cm

3 /s)

WIMP Mass (GeV)

Page 25: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 25

Dwarf “Stacking” Analysis• 24 months of data• Combined fit to 10 dwarfs, with common DM v free parameter

– Carina and Segue-1 added to the analysis• Analysis takes into account uncertainties of the astrophysics “J factors”:

STScI 2011

l.o.s.

2 )())(()( dllJ

The J factors are the integral of the following function over a 0.5 radius cone about the dwarf location, assuming an NFW profile:

v

No substructure boost assumed.

Page 26: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 26

Dwarf “Stacking” Analysis Upper Limits

STScI 2011

33 GeV

Thermal WIMP

Limits for other DM channels will be shown at the Fermi Symposium in Rome next week.

• 24 months of data• Combined fit to 10 dwarfs, with common DM v free parameter

– Carina and Segue-1 added to the analysis• Analysis takes into account uncertainties of the astrophysics “J factors”:

10 GeV WIMP apparently

ruled out

Page 27: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 27

Dark Satellites; Expectations• Via Lactea-2 simulation of the DM galaxy (Nature 454, 735)

– Including a boost for unresolved substructure– Sample 10 viewing points 8 kpc from the Galactic center

• WIMP annihilation to b,b-bar using Dark-SUSY (JCAP 0407, 008)– Nominal expected thermal WIMP cross section: 3×1026 cm3/s

• MC simulation of the Fermi-LAT instrument response• 10 year observation time

STScI 2011

B. Anderson et al., Ap. J. 718 (2010) 899.

Expected number of DM halo objects visible at 3 std. dev. significance.

Expected number of DM halo objects visible at 5 std. dev. significance.

Simulation only—no data

Page 28: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 28

Dark Satellites; Searches• One year of data.• Test unidentified sources (|b|>20) for

– Non-power-law spectrum,– Detectable source extension (non point-like). This test is essential to

remove contamination from high latitude gamma-ray pulsars.• No unidentified sources satisfy both selection criteria.

STScI 2011

One source passed both tests but appeared to be a conjunction of two sources, one of which was subsequently discovered to be a millisecond pulsar.

• A paper is in preparation to interpret this null result in terms of DM limits, based on the Via Lactea II and Aquarius galaxy simulations. Aquarius: V. Springel et al., ArXiv:0809.0898

Page 29: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 29

Galaxy Clusters• No observation thus far of gamma rays from galaxy clusters (whether

originating from DM or CR), besides clusters hosting AGN.• Fermi-LAT publication based on 11 months of data:

STScI 2011

JCAP, doi:10.1088/1475-7516/2010/05/025

MSSM

bb

Effect of substructure

Limits for just 2 of the clusters

Page 30: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 30

Galaxy Cluster “Stacking” Analysis• 24 months of data• 200 MeV to 100 GeV• 5 “nearby” clusters:

– AWM7– Fornax– Centaurus– Coma– M49

STScI 2011

Page 31: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 31

Preliminary

Galaxy Cluster “Stacking” Analysis

STScI 2011

• 24 months of data• 200 MeV to 100 GeV• 5 “nearby” clusters:

– AWM7– Fornax– Centaurus– Coma– M49

• DM limits from combined likelihood fit.

– Smooth NFW profile assumed (no substructure)

– Up to a factor of 2 improvement by use of the combined fit

(J-Factor uncertainties not considered)

Page 32: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 32

Isotropic (Extragalactic) Diffuse Emission

A published Fermi-LAT analysis has extracted the isotropic flux of gamma rays (believed to be primarily extragalactic) by reducing and understanding the residual CR background.

– Based on Fermi measurements of the blazar luminosity function (Ap.J. 720, 435, 2010), unresolved AGN can account for up to 30% of this diffuse (blue shaded).

– Star forming galaxies account for much of the rest. See the estimates above for two different assumptions on the spectrum (red and green shaded)

STScI 2011

PRL 104, 101101, 2010

=2.41 0.05

|b|>10

Models:

Star forming galaxies

Preliminary

Page 33: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 33

Cosmological Dark Matter

STScI 2011

The isotropic extragalactic contribution have been interpreted in terms of limits on cosmological dark matter annihilation:

Assuming a power-law model for astrophysical background

DM could supply all the photons in a given bin

DM structure evolution scenarios Models of absorption by EBL

JCAP04 (2010) 014

Large dependence on

model of DM structure

Page 34: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 34

Conclusions• No unambiguous signature of dark matter annihilation in the gamma-ray sky,

despite some intriguing residuals.• Some of the most interesting limits are from the dwarf satellites

– Low background– Solid interpretation, based on DM content derived from stellar velocity

measurements• Besides expected statistical improvements by up to a factor of 2, the DM

sensitivity from dwarfs may improve to 100 GeV or more due to– More and better stellar velocity measurements– Discovery of more dwarfs, especially in the southern hemisphere using

new survey telescopes.• Better sensitivity to DM annihilation in the diffuse Galactic halo or the

Galactic center requires improved understanding of the diffuse background caused by cosmic-ray propagation and interaction.

• In general this exercise would be tremendously invigorated and aided by the discovery of WIMP candidates at the LHC!

STScI 2011

Page 35: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 35

EXTRA SLIDES

STScI 2011

Page 36: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 36

High Latitude Diffuse Emission

STScI 2011

From Dec. 2010 talk by Gudlaugur Johannesson in Paris (“Dark Matter All Around”)

• Extensive work under way to model the diffuse emission.

• Right: one of a grid of 128 GALPROP models.

• All models respect constraints from local cosmic ray measurements (e.g. B/C ratio).

• No obvious “best model”, and small but significant residuals persist.

• High latitude excess is very similar to what we saw in the GC region.

• Spatial residuals are under 10% except in lobes, Loop-1, and outer galaxy.

• Still, many models explain the data reasonably well.

Page 37: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 37

GC MSP Interpretation

STScI 2011

• Hooper & Goodenough discredit an MSP explanation:

a. Spectrum is different from the average of known gamma-ray MSPs.

b. Would require a dense population of MSPs near the GC.

Kevork N. Abazajian, arXiv:1011.4275v3• Others disagree. For example, Abazajian argues that

a. The H&G extracted GC spectrum is consistent with gamma-ray spectra from four globular clusters. Although as noted by H&G, the fitted spectral indices do have large statistical errors.

b. The central star cluster of the GC fits within the LAT PSF and is 1000 times more massive than the largest globular cluster (Omega Cen.).

c. The analysis has not fully considered the systematic effects of the subtracted background model on the spectrum.

In any case, mundane astrophysics explanations of the GC source cannot be ruled out!

Page 38: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 38

DM Upper Limits from the Full |b|>10 SkyA profile likelihood fit to the DM content (for a given DM model and WIMP mass) encompasses variations over many systematic parameters:

– GALPROP CR propagation parameters (constrained by a 2 fit to local CR spectra and isotope ratios):

• CR source distribution• Halo height , diffusion constant, and Alfven velocity• Electron and hadron injection indices• Electron normalization (allowed to vary well outside of the local measurement)

– Normalization of maps of CR targets, in several Galactic rings:• 0 production of gammas:

– Atomic hydrogen (large uncertainties in spin temperature)– Ionized hydrogen (minor contribution)– Molecular hydrogen (uncertainties and variations in XCO)

• Inter-Stellar Radiation Field (inverse-Compton production of gamma rays)

– Energy-dependent uncertainties in the LAT effective area– Normalization of the isotropic diffuse, including instrumental

backgrounds

STScI 2011

Page 39: Gamma-Ray Results from Fermi Indirect Detection of Dark Matter

R.P. Johnson 39

Methodology to Account for Diffuse BackgroundFor practical reasons, GALPROP parameters cannot be varied continuously in a fit. We must make a discrete sampling of the likelihood space.

STScI 2011

log of fit to the -ray data

½

2 of fi

t to

loca

l CR

data

contours of constant global

Each point represents the best DM fit when using a single GALPROP model to describe the diffuse background.

Course sampling of GALPROP parameters

Finer sampling near the minimum

Work in progress: dark matter upper limits will be derived from the ensemble of likelihood profiles after • finalizing the ranges of variations of

parameters and • filling in a denser sampling near the

minimum.

Likelihood profile for each GALPROP model

Amount of Dark Matter

log