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Constraining Dark Matter Models from a Combined Analysis of Milky Way Satellites with the Fermi Large Area Telescope (1108.3546v3)

Published 17 Aug 2011 in astro-ph.HE and hep-ph

Abstract: Satellite galaxies of the Milky Way are among the most promising targets for dark matter searches in gamma rays. We present a search for dark matter consisting of weakly interacting massive particles, applying a joint likelihood analysis to 10 satellite galaxies with 24 months of data of the Fermi Large Area Telescope. No dark matter signal is detected. Including the uncertainty in the dark matter distribution, robust upper limits are placed on dark matter annihilation cross sections. The 95% confidence level upper limits range from about 1e-26 cm3 s-1 at 5 GeV to about 5e-23 cm3 s-1 at 1 TeV, depending on the dark matter annihilation final state. For the first time, using gamma rays, we are able to rule out models with the most generic cross section (~3e-26 cm3 s-1 for a purely s-wave cross section), without assuming additional boost factors.

Citations (543)

Summary

  • The paper combines 24-month observations from 10 Milky Way satellites to perform a joint likelihood analysis that sets new upper limits on WIMP annihilation.
  • It employs robust statistical modeling and precise J-factor calculations from stellar velocity data to enhance dark matter signal sensitivity.
  • The results rule out s-wave dark matter models near a cross-section of 3 x 10⁻²⁶ cm³ s⁻¹, imposing critical constraints on theoretical models.

Constraining Dark Matter Models using Fermi-LAT Observations of Milky Way Satellites

The research article "Constraining Dark Matter Models from a Combined Analysis of Milky Way Satellites with the Fermi Large Area Telescope" discusses the intriguing work undertaken on understanding dark matter (DM) using gamma-ray data collected from satellite galaxies, also known as dwarf spheroidal galaxies (dSphs) of the Milky Way. Recognizing the potential of these satellites due to their high dark matter content, the authors utilized the Fermi Large Area Telescope (Fermi-LAT) to assess the presence of weakly interacting massive particles (WIMPs) — a major candidate for dark matter.

Methodology and Analysis

The authors assembled a novel joint likelihood analysis by consolidating data from 10 satellite galaxies over 24 months of Fermi-LAT observations. This approach enhances the statistical power compared to individual analysis by leveraging the collective data. Furthermore, it accounts for uncertainties in DM distribution through robust statistical modeling.

The analysis revolves around the calculation of J-factors, which represent the line-of-sight integration of the dark matter density squared in a given direction. The J-factors, estimated from stellar velocity data, are crucial in predicting the gamma ray flux from DM annihilation or decay scenarios.

Results

The paper did not detect a definitive dark matter signal, but it did establish stringent 95% confidence level upper limits on the annihilation cross-sections. These limits span from 10⁻²⁶ cm³ s⁻¹ at 5 GeV to 5 x 10⁻²³ cm³ s⁻¹ at 1 TeV, particular to the annihilation pathways explored.

Significantly, for the first time using gamma-ray data, models with a generic cross-section of approximately 3 x 10⁻²⁶ cm³ s⁻¹ for a purely s-wave cross-section are able to be ruled out, without additional dependence on assumed astrophysical boost factors. This finding is supported by the combined analysis of the dSphs, which offers enhanced sensitivity.

Implications and Future Work

The upper limits on the annihilation cross-section established by this research impose significant constraints on potential WIMP characteristics, particularly for low-mass WIMPs. By exploring multiple annihilation channels, this work provides a foundational parameter space that future research must consider.

The paper suggests that further improvements in data collection from satellite galaxies and enhanced techniques in event selection could improve sensitivity. There is also potential for methodological advancements that incorporate baryonic feedback effects more accurately.

Conclusion

This detailed analysis using the Fermi-LAT data contributes significantly to the body of research restricting the potential properties of dark matter models. By constraining the annihilation cross-section through joint likelihood analyses, the research represents an important step toward delineating the characteristics of dark matter, thereby narrowing down theoretical models in extensions of the standard model of particle physics. Future developments in observed datasets and analysis refinement may facilitate deeper insights into the enigmatic nature of dark matter.