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Can MSPs account for the gamma-ray excess in the inner Milky Way?

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Can MSPs account for the gamma-ray excess in the inner Milky Way?

Tansu Daylan

Harvard University Department of Physics

with Douglas P. Finkbeiner & Stephen K. N. Portillo

EWASS 2015, Tenerife

25 June 2015

Tansu Daylan Can MSPs account for the gamma-ray excess? 1 / 12

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Overview

1 Gamma-ray excess in the inner Milky Way

2 Distinguishing between interpretations

3 Gamma-ray time variability of the ROI

Tansu Daylan Can MSPs account for the gamma-ray excess? 2 / 12

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Gamma-ray excess in the inner Milky Way

A template-based Poisson regression of the Fermi-LAT data reveals a residual emission in the inner galaxy (Goodenough & Hooper 2009) that:

X has a spectrum that peaks at ∼ 1-3 GeV,

X is extended out to ∼ 10 from the galactic center,

X falls off away from the galactic center as an inverse power law with index ∼ 2.5.

Tansu Daylan Can MSPs account for the gamma-ray excess? Gamma-ray excess in the inner Milky Way 3 / 12

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Gamma-ray excess in the inner Milky Way

Tansu Daylan Can MSPs account for the gamma-ray excess? Gamma-ray excess in the inner Milky Way 4 / 12

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Perspectives on the excess

Does the excess really exist?

X Background systematics, i.e., missing Inverse Compton emission X Oversubtraction along the galactic plane

If so, what is its origin?

X Prompt or secondary photons from dark matter annihilation X Series of past hadronic or leptonic cosmic ray outbursts from the

SMBH at the galactic center

X Unresolved millisecond pulsars with a steep radial profile (This talk)

Tansu Daylan Can MSPs account for the gamma-ray excess? Distinguishing between interpretations 5 / 12

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Diffuse or point source emission?

X The morphologies of the gamma-ray signal from an unresolved population of MSPs and dark matter annihilation are similar.

X However their photon statistics are different, i.e., diffuse emission is equivalent to emission from a collection of ”1-photon” emitters.

X In general, there are nm ”m-photon” emitters in an unresolved MSP population, which is itself Poisson distributed with mean xm

pnm ∼ Po(nm; xm) = xmnm nm!e−xm.

Tansu Daylan Can MSPs account for the gamma-ray excess? Distinguishing between interpretations 6 / 12

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Diffuse or point source emission?

X The PDF of observing k photons from a pixel that has nm m-photon sources is no longer Poisson distributed

pmk =

(pnm if k = mnm

0 o/w .

X Summing pkm over all m (or rather taking the product of the relevant distribution functions), the level of non-Poissonity can be exploited to determine the nature of the excess (Malyshev & Hogg 2011, Lee et al. 2014, Lee et al. 2015).

Tansu Daylan Can MSPs account for the gamma-ray excess? Distinguishing between interpretations 7 / 12

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Diffuse or point source emission: time perspective

X The members of the new population of MSPs required to fit the excess should be dim, possibly due to state transitions.

X Assuming that some fraction of them are transitional, spatially incoherent month/year-scale time variations could potentially be observed in the excess emission.

X Since there should be ∼ 1000 MSPs with random transitional periods and phase shifts (if periodic at all), the time variation should be very weak, but possibly detectable away from the galactic plane, where backgrounds are dimmer and there are fewer members of the population.

X This exploits the fact that diffuse backgrounds do not vary over human time scales.

Tansu Daylan Can MSPs account for the gamma-ray excess? Gamma-ray time variability of the ROI 8 / 12

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Diffuse or point source emission: time perspective

X The members of the new population of MSPs required to fit the excess should be dim, possibly due to state transitions.

X Assuming that some fraction of them are transitional, spatially incoherent month/year-scale time variations could potentially be observed in the excess emission.

X Since there should be ∼ 1000 MSPs with random transitional periods and phase shifts (if periodic at all), the time variation should be very weak, but possibly detectable away from the galactic plane, where backgrounds are dimmer and there are fewer members of the population.

X This exploits the fact that diffuse backgrounds do not vary over human time scales.

Tansu Daylan Can MSPs account for the gamma-ray excess? Gamma-ray time variability of the ROI 8 / 12

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Diffuse or point source emission: time perspective

X The members of the new population of MSPs required to fit the excess should be dim, possibly due to state transitions.

X Assuming that some fraction of them are transitional, spatially incoherent month/year-scale time variations could potentially be observed in the excess emission.

X Since there should be ∼ 1000 MSPs with random transitional periods and phase shifts (if periodic at all), the time variation should be very weak, but possibly detectable away from the galactic plane, where backgrounds are dimmer and there are fewer members of the population.

X This exploits the fact that diffuse backgrounds do not vary over human time scales.

Tansu Daylan Can MSPs account for the gamma-ray excess? Gamma-ray time variability of the ROI 8 / 12

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Diffuse or point source emission: time perspective

X The members of the new population of MSPs required to fit the excess should be dim, possibly due to state transitions.

X Assuming that some fraction of them are transitional, spatially incoherent month/year-scale time variations could potentially be observed in the excess emission.

X Since there should be ∼ 1000 MSPs with random transitional periods and phase shifts (if periodic at all), the time variation should be very weak, but possibly detectable away from the galactic plane, where backgrounds are dimmer and there are fewer members of the population.

X This exploits the fact that diffuse backgrounds do not vary over human time scales.

Tansu Daylan Can MSPs account for the gamma-ray excess? Gamma-ray time variability of the ROI 8 / 12

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Count time series

Hence we looked for time variation in PSF sized pixels over a 20× 20 box around the galactic center in 6 years of exposure-corrected Fermi-LAT count data.

Tansu Daylan Can MSPs account for the gamma-ray excess? Gamma-ray time variability of the ROI 9 / 12

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Count time series

Hence we looked for time variation in PSF sized pixels over a 20× 20 box around the galactic center in 6 years of exposure-corrected Fermi-LAT count data.

Sample pixel in the direction of 5BZQJ1802-3940:

Tansu Daylan Can MSPs account for the gamma-ray excess? Gamma-ray time variability of the ROI 9 / 12

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Count statistics

Hence we looked for time variation in PSF sized pixels over a 20× 20 box around the galactic center in 6 years of exposure-corrected Fermi-LAT count data.

Sample pixel in the direction of 5BZQJ1802-3940:

Tansu Daylan Can MSPs account for the gamma-ray excess? Gamma-ray time variability of the ROI 10 / 12

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Constraining time variation

Tansu Daylan Can MSPs account for the gamma-ray excess? Gamma-ray time variability of the ROI 11 / 12

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Outlook

X There is no statistically significant (>90% C.L.), time variation in the inner galaxy.

X Previous analyses exploiting the non-Poissonity of the point source emission have fixed the number of sources, i.e., the model

dimensionality, making the Bayesian evidence comparison between different models in the limit of large number of MSPs

computationally expensive.

X A trans-dimensional approach to the luminosity function inference problem is needed (work in progress).

Tansu Daylan Can MSPs account for the gamma-ray excess? Gamma-ray time variability of the ROI 12 / 12

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