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Gamma rays from Galactic pulsars: high- and low- latitude emission Francesca Calore NOW 2014 Conca Specchiulla, 8th September 2014 F. Calore, M. Di Mauro & F. Donato, arXiv:1406.2706 F. Calore, I. Cholis & C. Weniger, arXiv:1409.0042 based on:

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Page 1: Francesca Calore Gamma rays from Galactic pulsars: high

Gamma rays from Galactic pulsars: high- and low-

latitude emission

Francesca Calore

NOW 2014 Conca Specchiulla, 8th September 2014

F. Calore, M. Di Mauro & F. Donato, arXiv:1406.2706 F. Calore, I. Cholis & C. Weniger, arXiv:1409.0042

based on:

Page 2: Francesca Calore Gamma rays from Galactic pulsars: high

0 0.05 0.15 0.35 0.74 1.5 3.1 6.2 13 25 50

Fermi all-sky gamma-ray map

Photon energy: 100 MeV - 10 GeV

The Isotropic Gamma-Ray Background (IGRB)

Francesca Calore - University of Amsterdam NOW 20141

M. Razzano presentation about Fermi results !

Page 3: Francesca Calore Gamma rays from Galactic pulsars: high

0 0.05 0.15 0.35 0.74 1.5 3.1 6.2 13 25 50Energy range: 200 MeV - 100 GeV

Resolved Point Sources

Galactic Diffuse Emission

--

- CRs Background & solar photon

Fermi all-sky gamma-ray map

Solar photon & CRs background

-

=

-

-

11 months data @ high latitudes

|b| � 10�

Galactic Diffuse Emission

Resolved Point Sources

The Isotropic Gamma-Ray Background (IGRB)

Francesca Calore - University of Amsterdam NOW 20142

Page 4: Francesca Calore Gamma rays from Galactic pulsars: high

0 0.05 0.15 0.35 0.74 1.5 3.1 6.2 13 25 50Energy range: 200 MeV - 100 GeV

Resolved Point Sources

Galactic Diffuse Emission

--

- CRs Background & solar photon

Fermi all-sky gamma-ray map

Abdo et al., PRL’10

/ E�2.41

+ Anisotropy at small scales.

Solar photon & CRs background

-

=

-

-

11 months data @ high latitudes

|b| � 10�

Galactic Diffuse Emission

Resolved Point Sources

The Isotropic Gamma-Ray Background (IGRB)

Francesca Calore - University of Amsterdam NOW 20142

Page 5: Francesca Calore Gamma rays from Galactic pulsars: high

Unresolved Point Sources Diffuse ProcessesBlazars

Most abundant population of LAT detected sources Contribution up to 10 - 20 % !

Non-blazars active galaxies Few resolved members, but large unresolved population. !

!Star-forming galaxies

Outnumber AGN in number density, although 4 detected objects; ca 4 - 20% !!

Galactic Pulsars Second most abundant population, but few % of the diffuse flux.

DM annihilation In the Milky Way and in other galaxies.Uncertainty in the DM distribution. !!UHECRs E.M. cascade from interaction with CMB. Contribution from 1% to 50% . !!Intergalactic shocks Shock waves as electrons accelerators, then IC on CMB; ca. 10% of IGRB. !

Abdo et al., ApJ’10, Ajello et al., ApJ’12, Di Mauro et al, ’13

Inoue, ApJ’11, Di Mauro et al, ApJ’13

I. Tamborra presentation !

Kalashev et al., PRD’09, Berezinsky et al., PLB, ‘10

Keshet et al., ApJ’03, Gabici & Blasi, AP’03

e.g. Fornasa et al., MNRAS’13

The origin of the IGRB

Francesca Calore - University of Amsterdam NOW 20143

Page 6: Francesca Calore Gamma rays from Galactic pulsars: high

Unresolved Point Sources Diffuse ProcessesBlazars

Most abundant population of LAT detected sources Contribution up to 10 - 20 % !

Non-blazars active galaxies Few resolved members, but large unresolved population. !

!Star-forming galaxies

Outnumber AGN in number density, although 4 detected objects; ca 4 - 20% !!

Galactic Pulsars Second most abundant population, but few % of the diffuse flux.

DM annihilation In the Milky Way and in other galaxies.Uncertainty in the DM distribution. !!UHECRs E.M. cascade from interaction with CMB. Contribution from 1% to 50% . !!Intergalactic shocks Shock waves as electrons accelerators, then IC on CMB; ca. 10% of IGRB. !

Abdo et al., ApJ’10, Ajello et al., ApJ’12, Di Mauro et al, ’13

Inoue, ApJ’11, Di Mauro et al, ApJ’13

I. Tamborra presentation !

Kalashev et al., PRD’09, Berezinsky et al., PLB, ‘10

Keshet et al., ApJ’03, Gabici & Blasi, AP’03

e.g. Fornasa et al., MNRAS’13

The origin of the IGRB

Francesca Calore - University of Amsterdam NOW 20143

Page 7: Francesca Calore Gamma rays from Galactic pulsars: high

• Pulsars are rapidly spinning neutron stars. !

• Pulsars divided into young Pulsars (P>15 ms) and Millisecond Pulsars (MSPs) . !

• ATNF catalog: about 2000 sources (132 MSPs) !

• Fermi-LAT second Pulsars catalog (2FPC) with 117 sources (40 MSPs and 77 young objects).

10-22

10-21

10-20

10-19

10-18

10-17

10-16

10-15

10-14

10-13

10-12

10-11

10-3 10-2 10-1 100 101

dP/d

t [s/

s]

P [s]

dP/dt vs P for the ATNF catalog Pulsars and MSPs

ATNF MSPsATNF young Pulsars

Fermi-LAT MSPsFermi-LAT Pulsars

P = 0.015 s

Young & Millisecond pulsars

MSPs

Young Pulsars

Francesca Calore - University of Amsterdam NOW 20144

Page 8: Francesca Calore Gamma rays from Galactic pulsars: high

• Gamma rays from the conversion of rotational kinetic energy.

• The initial rotation period slows down for magnetic-dipole braking.

• The slow down is measured by the period derivative: !!!

• The spin-down luminosity, namely the loss energy rate is: !!

• A fraction of the spin-down luminosity is converted into gamma rays with a given efficiency:

Pulsar gamma-ray emission

Francesca Calore - University of Amsterdam NOW 20145

Page 9: Francesca Calore Gamma rays from Galactic pulsars: high

• Gamma rays from the conversion of rotational kinetic energy.

• The initial rotation period slows down for magnetic-dipole braking.

• The slow down is measured by the period derivative: !!!

• The spin-down luminosity, namely the loss energy rate is: !!

• A fraction of the spin-down luminosity is converted into gamma rays with a given efficiency:

Pulsar gamma-ray emission

Francesca Calore - University of Amsterdam NOW 20145

(1) magnetic field (2)rotation period

(1) luminosity efficiency

Page 10: Francesca Calore Gamma rays from Galactic pulsars: high

0

5

10

15

8 9

N(B

)

Log10(B) [G]

B distribution N(B) of ATNF catalog MSPs

ATNF DistrLog10 Gauss.

0

5

10

15

0.002 0.004 0.006 0.008 0.01

N(P

)

P [s]

P distribution N(P) of ATNF catalog MSPs

ATNF distr.Gauss.

Log10 Gauss.

Parameter distributions (1)

Francesca Calore - University of Amsterdam NOW 20146

(1)magnetic field (2)rotation period

Radio measurements from ATNF catalog (132 sources)

Novelty!!

hlog10

(B/G)i = 8.27

�log10 B = 0.30

hlog10

(P/s)i = �2.54

�log10 P = 0.19

P [s]N(P

)

N(B

)

log10(B/G)

Page 11: Francesca Calore Gamma rays from Galactic pulsars: high

Parameter distributions (1)

Francesca Calore - University of Amsterdam NOW 20147

(3)z distribution (4)r distribution

Radio measurements from ATNF catalog (132 sources)

0

10

20

30

40

3 4 5 6 7 8 9 10 11 12 13

N(r)

r [kpc]

r distribution N(r) of ATNF catalog MSPs

ATNF distr.Gauss.

Exp.

0

5

10

15

20

25

-1.5 -1 -0.5 0 0.5 1 1.5

N(z

)

z [kpc]

z distribution N(z) of ATNF catalog MSPs

ATNF distr.Gauss.

Exp.

distance from the Galactic plane

projected distance from the Galactic center

hri = 7.42 kpc

r0 = 1.03 kpc

hzi = 0kpc

z0 = 0.67 kpc

N(z)

N(r)

r[kpc]z[kpc]

Page 12: Francesca Calore Gamma rays from Galactic pulsars: high

Parameter distributions (2)

Francesca Calore - University of Amsterdam NOW 20148

Gamma-ray measurements from Fermi-LAT 2PC (40 sources)

1030

1031

1032

1033

1034

1035

1036

1037

1038

1031 1032 1033 1034 1035 1036 1037

L a [e

rg/s

]

dE/dt [erg/s]

La(dE/dt)

Band¡ = 0.095, _ = 1

Fermi-LAT MSPsFermi-LAT UL

(1) luminosity efficiency

• The scatter of the data points does not allow a statistically robust correlation. • We derive 95% C.L. upper limits on the gamma-ray flux of a sample of 20 sources non-

detected by the Fermi-LAT. • 20 selected sources in the ATNF catalog are the ones (with ) expected to be the

most powerful gamma-ray emitters if standard values of ử = 1 and ỷ =0.1 are assumed.

ỷ is the conversion efficiency.

E[erg/s]

L�[erg/s]

|b| > 10�

↵ = 1 , ⌘ = 0.095Benchmark:

Empirical uncertainty band:⌘ = 0.015, 0.65{ }

Page 13: Francesca Calore Gamma rays from Galactic pulsars: high

Parameter distributions (2)

Francesca Calore - University of Amsterdam NOW 20149

(2)spectral index

Gamma-ray measurements from Fermi-LAT 2PC (40 sources)

0

5

10

15

0.5 1 1.5 2

N(K

)

K

K distribution N(K) of MSPs in the 2FPC

Fermi-LATGauss.

0

5

10

3 3.5

N(E

cut)

Log10(Ecut [MeV])

Log10(Ecut) distribution N(Log10(Ecut)) of MSPs in the 2FPC

Fermi-LATGauss.

h�i = 1.29

�� = 0.37hEcuti = 3.38

�Ecut= 0.18

(3)cutoff energy

Spectral energy distribution of observed sources

N(�

)

log10(Ecut/MeV)

N(E

cut)

Page 14: Francesca Calore Gamma rays from Galactic pulsars: high

MSP gamma-ray sky

Francesca Calore - University of Amsterdam NOW 2014

Simulated MSPs distribution

10

For each simulated source we derive: - the position: r, z - the gamma-ray luminosity:

• P, B • a • a • Fermi-LAT source sensitivity

! E

� , Ecut ! F�

⌘ ! L� ! S� ⌘ L�/(4⇡d2)

Fermi-LAT Coll. arXiv:1305.8345

Page 15: Francesca Calore Gamma rays from Galactic pulsars: high

MSP gamma-ray sky

Francesca Calore - University of Amsterdam NOW 2014

Simulated MSPs distribution

10

For each simulated source we derive: - the position: r, z - the gamma-ray luminosity:

• P, B • a • a • Fermi-LAT source sensitivity

! E

� , Ecut ! F�

⌘ ! L� ! S� ⌘ L�/(4⇡d2)

Fermi-LAT Coll. arXiv:1305.8345

Detected or non-detected source?

A. Resolved MSPs (max 39) B. Unresolved MSPs

Total of about 1000 - 1500 simulated sources for 1000 MC simulations.

Page 16: Francesca Calore Gamma rays from Galactic pulsars: high

MSP gamma-ray sky

Francesca Calore - University of Amsterdam NOW 2014

Simulated MSPs distribution

11

Resolved MSPs counterpart

Page 17: Francesca Calore Gamma rays from Galactic pulsars: high

MSP gamma-ray sky

Francesca Calore - University of Amsterdam NOW 2014

Simulated MSPs distribution

11

Unresolved MSPs counterpart

Page 18: Francesca Calore Gamma rays from Galactic pulsars: high

1000 MC realisations of MSPs population. Uncertainty band due to parameter distributions errors and LAT sensitivity.

10-8

10-7

10-6

10-5

10-4

10-3

10-1 100 101 102 103

E2 dN

/dE

[GeV

/cm

2 /s/s

r]

E [GeV]

Unresolved MSPs flux in the high-latitude region

1m BandAverage

Ackermann 2012

High-latitude emission

Francesca Calore - University of Amsterdam NOW 201412

|b| > 10�

Calore, Di Mauro, Donato (2014)

Page 19: Francesca Calore Gamma rays from Galactic pulsars: high

10-8

10-7

10-6

10-5

10-4

10-3

10-1 100 101 102 103

E2 dN

/dE

[GeV

/cm

2 /s/s

r]

E [GeV]

Unresolved MSPs flux in the high-latitude region

1m BandAverage

Ackermann 2012

Calore, Di Mauro, Donato (2014)

High-latitude emission

Francesca Calore - University of Amsterdam NOW 201412

|b| > 10�MSPs contribution to the IGRB is about 0.1% - 0.9% at the peak (2 GeV) and

about 0.02% - 0.13% of the integrated IGRB intensity. Uncertainty band of O(10) at all energies.

Page 20: Francesca Calore Gamma rays from Galactic pulsars: high

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

0 0.05 0.15 0.35 0.74 1.5 3.1 6.2 13 25 50

Claim of a gamma-ray excess emission over standard astrophysical background in the inner region of the Galaxy:

Page 21: Francesca Calore Gamma rays from Galactic pulsars: high

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

0 0.05 0.15 0.35 0.74 1.5 3.1 6.2 13 25 50

Claim of a gamma-ray excess emission over standard astrophysical background in the inner region of the Galaxy:

Macias & Gordon (2013)

Claim of a gamma-ray excess emission over standard astrophysical background in the inner region of the Galaxy:

• Galactic Center region: |b| 3.5� & |l| 3.5�

Abazajian et al. (2014), Macias & Gordon (2013), etc.

Page 22: Francesca Calore Gamma rays from Galactic pulsars: high

Claim of a gamma-ray excess emission over standard astrophysical background in the inner region of the Galaxy:

• Galactic Center region:

• Inner Galaxy: inner tens of degrees about the GC, Daylan et al. (2014), Huang et al. (2013), Hooper & Slatyer (2013), etc.

|b| > 1�

|b| 3.5� & |l| 3.5�

Abazajian et al. (2014), Macias & Gordon (2013), etc.

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

0 0.05 0.15 0.35 0.74 1.5 3.1 6.2 13 25 50

Calore, Cholis, Weniger (2014)

Page 23: Francesca Calore Gamma rays from Galactic pulsars: high

100 101 102

E [GeV]

10−8

10−7

10−6

10−5

E2dN/d

E[G

eVcm

−2s−

1sr

−1]

broken PL

PL with exp. cutoff

DM bb

DM τ+τ−

GC excess spectrum withstat. and corr. syst. errors

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201414

Parametric fits to the spectrum of the GCE emission.

Calore, Cholis, Weniger (2014)

Page 24: Francesca Calore Gamma rays from Galactic pulsars: high

100 101 102

E [GeV]

10−8

10−7

10−6

10−5

E2dN/d

E[G

eVcm

−2s−

1sr

−1]

broken PL

PL with exp. cutoff

DM bb

DM τ+τ−

GC excess spectrum withstat. and corr. syst. errors

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201414

Parametric fits to the spectrum of the GCE emission.

Calore, Cholis, Weniger (2014)

Page 25: Francesca Calore Gamma rays from Galactic pulsars: high

100 101 102

E [GeV]

10−8

10−7

10−6

10−5

E2dN/d

E[G

eVcm

−2s−

1sr

−1]

broken PL

PL with exp. cutoff

DM bb

DM τ+τ−

GC excess spectrum withstat. and corr. syst. errors

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201414

Parametric fits to the spectrum of the GCE emission.

Calore, Cholis, Weniger (2014)

Page 26: Francesca Calore Gamma rays from Galactic pulsars: high

100 101 102

E [GeV]

10−8

10−7

10−6

10−5

E2dN/d

E[G

eVcm

−2s−

1sr

−1]

broken PL

PL with exp. cutoff

DM bb

DM τ+τ−

GC excess spectrum withstat. and corr. syst. errors

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201414

Can young pulsars and MSPs explain the GC excess emission?

Calore, Cholis, Weniger (2014)

Page 27: Francesca Calore Gamma rays from Galactic pulsars: high

Pulsars low-latitude emission

Francesca Calore - University of Amsterdam NOW 201415

Galactic Center

Inner Galaxy

|b| 3.5� & |l| 3.5�

10� |b| 20�

Calore, Di Mauro, Donato (2014)

Page 28: Francesca Calore Gamma rays from Galactic pulsars: high

Francesca Calore - University of Amsterdam NOW 201415

Galactic Center

Inner Galaxy

|b| 3.5� & |l| 3.5�

10� |b| 20�

Calore, Di Mauro, Donato (2014)

Pulsars and MSPs might explain up to 5% of the GeV excess in the Inner Galaxy and

8% in the Galactic Center region.

Pulsars low-latitude emission

Page 29: Francesca Calore Gamma rays from Galactic pulsars: high

1. Spectral argument

Power-law with exponential cutoff is consistent with observed pulsar gamma ray properties.

2. Luminosity (flux) argument

The emission from unresolved pulsars can account for at most 10% of the excess emission in both the Galactic Center and Inner Galaxy regions.

3. Morphology argument

The source distribution is well compatible with a disk-like population. Nevertheless, it is possible to have a “bulge” component. It is anyhow unlikely that it extends up to 10 degrees in latitude.

Pulsars interpretation of the GeV excess

Francesca Calore - University of Amsterdam NOW 201416

✓t

✓t

?

e.g Cholis, Hooper, Linden [arXiv:1407.5625]

Page 30: Francesca Calore Gamma rays from Galactic pulsars: high

Francesca Calore - University of Amsterdam NOW 201417

Conclusions✓ Up-to-date and systematic analysis of MSPs population

properties from radio (ATNF catalog) to gamma rays (Fermi-LAT).

✓ MSPs are a marginal component of the IGRB: 0.02% - 0.13% within an uncertainty of O(10).

✓ MSPs are also a negligible contributor to the gamma-ray anisotropy signal measured by the Fermi-LAT, thus indicating that this should be dominated by other sources.

✓ At low latitudes, the contribution from both young pulsars and MSPs can explain up to about 10% of the excess emission measured in the inner part of the Galaxy.

✓ The MSPs interpretation of the Fermi-LAT GeV excess is nowadays in tension with spectral and morphological properties of the MSPs population as we model it from radio and gamma-ray observations.

Page 31: Francesca Calore Gamma rays from Galactic pulsars: high

Francesca Calore - University of Amsterdam NOW 201417

Conclusions✓ Up-to-date and systematic analysis of MSPs population

properties from radio (ATNF catalog) to gamma rays (Fermi-LAT).

✓ MSPs are a marginal component of the IGRB: 0.02% - 0.13% within an uncertainty of O(10).

✓ MSPs are also a negligible contributor to the gamma-ray anisotropy signal measured by the Fermi-LAT, thus indicating that this should be dominated by other sources.

✓ At low latitudes, the contribution from both young pulsars and MSPs can explain up to about 10% of the excess emission measured in the inner part of the Galaxy.

✓ The MSPs interpretation of the Fermi-LAT GeV excess is nowadays in tension with spectral and morphological properties of the MSPs population as we model it from radio and gamma-ray observations.

Thanks for your attention!! :)

Page 32: Francesca Calore Gamma rays from Galactic pulsars: high

Francesca Calore - University of Amsterdam NOW 201418

Backup slides

Page 33: Francesca Calore Gamma rays from Galactic pulsars: high

Unresolved Point Sources Diffuse ProcessesBlazars

Most abundant population of LAT detected sources Contribution up to 10 - 20 % !

Non-blazars active galaxies Few resolved members, but large unresolved population. !

!Star-forming galaxies

Outnumber AGN in number density, although 4 detected objects; ca 4 - 20% !!

Galactic Pulsars Second most abundant population, but few % of the diffuse flux.

DM annihilation In the Milky Way and in other galaxies.Uncertainty in the DM distribution. !Abdo et al., ApJ’10, Ajello et al., ApJ’12, Di Mauro et al, ’13

Inoue, ApJ’11, Di Mauro et al, ApJ’13

I. Tamborra presentation !

The origin of the IGRB

Francesca Calore - University of Amsterdam NOW 20143

!Potential to be one

of the most efficient future means of probing thermally

produced DM. Bringmann, Calore, Di Mauro, Donato, PRD’13

Page 34: Francesca Calore Gamma rays from Galactic pulsars: high

Francesca Calore - University of Amsterdam NOW 201418

Gamma-ray anistropyAnisotropy of the IGRB recently measured by the Fermi-LAT Collab. in the multipole range :

• 22 month of data • Energy range: • Region: (high latitudes) !➡ Anisotropy detected at small scales, ( ) ➡ Consistent with Poisson-like anisotropy from an

unresolved population of point-like sources. ➡ No-energy dependence

1� 50GeV|b| > 30�

` � 155 ✓ 2�

Ackermann et al.,PRD’12

` = 155� 504

Cp

hIi2 = 9.05± 0.84⇥ 10�6sr �s = 2.40± 0.07

Page 35: Francesca Calore Gamma rays from Galactic pulsars: high

Francesca Calore - University of Amsterdam NOW 201418

Gamma-ray anistropy from MSPs

The 1σ upper limit angular power from the unresolved MSPs together with Fermi-LAT data.

Calore, Di Mauro, Donato (2014)

Page 36: Francesca Calore Gamma rays from Galactic pulsars: high

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

Possible strategy applied to single out the excess: 1. to generate counts map of Fermi-LAT data for the region of interest

and subtract/mask point sources (PSC Fermi catalogs);

Page 37: Francesca Calore Gamma rays from Galactic pulsars: high

Possible strategy applied to single out the excess: 2. to perform a pixel based maximum likelihood analysis on the

counts map, by fitting the data (bin-by-bin) with a sum of spatial templates.

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

Page 38: Francesca Calore Gamma rays from Galactic pulsars: high

Possible strategy applied to single out the excess: 2. to perform a pixel based maximum likelihood analysis on the

counts map, by fitting the data (bin-by-bin) with a sum of spatial templates.

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

Page 39: Francesca Calore Gamma rays from Galactic pulsars: high

Possible strategy applied to single out the excess: 2. to perform a pixel based maximum likelihood analysis on the

counts map, by fitting the data (bin-by-bin) with a sum of spatial templates.

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

1. Galactic diffuse emission

Page 40: Francesca Calore Gamma rays from Galactic pulsars: high

Possible strategy applied to single out the excess: 2. to perform a pixel based maximum likelihood analysis on the

counts map, by fitting the data (bin-by-bin) with a sum of spatial templates.

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

1. Galactic diffuse emissionA. CRs (p) vs ISM: emission.⇡0

Page 41: Francesca Calore Gamma rays from Galactic pulsars: high

Possible strategy applied to single out the excess: 2. to perform a pixel based maximum likelihood analysis on the

counts map, by fitting the data (bin-by-bin) with a sum of spatial templates.

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

1. Galactic diffuse emissionA. CRs (p) vs ISM: emission. B. CRs (e) vs ISM: Bremsstrahlung.A. CRs (p) vs ISM: emission.⇡0

Page 42: Francesca Calore Gamma rays from Galactic pulsars: high

Possible strategy applied to single out the excess: 2. to perform a pixel based maximum likelihood analysis on the

counts map, by fitting the data (bin-by-bin) with a sum of spatial templates.

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

A. CRs (p) vs ISM: emission. B. CRs (e) vs ISM: Bremsstrahlung. C. CRs (e) vs ISRF: ICS emission.

1. Galactic diffuse emissionA. CRs (p) vs ISM: emission. B. CRs (e) vs ISM: Bremsstrahlung.A. CRs (p) vs ISM: emission.⇡0

Page 43: Francesca Calore Gamma rays from Galactic pulsars: high

Possible strategy applied to single out the excess: 2. to perform a pixel based maximum likelihood analysis on the

counts map, by fitting the data (bin-by-bin) with a sum of spatial templates.

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

A. CRs (p) vs ISM: emission. B. CRs (e) vs ISM: Bremsstrahlung. C. CRs (e) vs ISRF: ICS emission.

1. Galactic diffuse emissionA. CRs (p) vs ISM: emission. B. CRs (e) vs ISM: Bremsstrahlung.A. CRs (p) vs ISM: emission.⇡0

Page 44: Francesca Calore Gamma rays from Galactic pulsars: high

Possible strategy applied to single out the excess: 2. to perform a pixel based maximum likelihood analysis on the

counts map, by fitting the data (bin-by-bin) with a sum of spatial templates.

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201413

A. CRs (p) vs ISM: emission. B. CRs (e) vs ISM: Bremsstrahlung. C. CRs (e) vs ISRF: ICS emission.

1. Galactic diffuse emissionA. CRs (p) vs ISM: emission. B. CRs (e) vs ISM: Bremsstrahlung.A. CRs (p) vs ISM: emission.⇡0

2. Isotropic diffuse emission; 3. Fermi Bubbles brightness-uniform

emission; 4. Spherically symmetric template

for the GC emission.

Page 45: Francesca Calore Gamma rays from Galactic pulsars: high

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201414

Energy spectra of different components from the template

fit to the data.

2� |b| 20� & |l| 20�

Longitude dependence of the different components in a

latitude strip.

Calore, Cholis, Weniger (2014)

Page 46: Francesca Calore Gamma rays from Galactic pulsars: high

Low-latitude emission: the Fermi-LAT GeV excess

Francesca Calore - University of Amsterdam NOW 201415

Spectrum of the GCE emission with statistical and background model systematics.

Calore, Cholis, Weniger (2014)