Publisher’s Note: Gamma Ray Constraints on Decaying Dark Matter [Phys. Rev. D<b>86</b>, 083506 (2012)]

Cirelli, Marco; Moulin, Emmanuel; Panci, Paolo; Serpico, Pasquale Dario; Viana, A.

doi:10.1103/physrevd.86.109901

Cited by 39 publications

(85 citation statements)

References 43 publications

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“…DM could also consist of unstable long-lived particles, the decay of which could generate γ or X-rays, via prompt and inverse Compton emissions (Ibarra et al 2013). In this scenario, exotic signals have been looked for in the Milky Way (Cirelli et al 2010), in M31 (Boyarsky et al 2008), in clusters of galaxies (Dugger et al 2010;Combet et al 2012;Cirelli et al 2012) and in dSphs (Essig et al 2009;Acciari et al 2010;Aliu et al 2012) using data sets from various instruments (Fermi-LAT, IACTs, XMM-Newton). Non-detections have led to constraints on the lifetime τ of the decaying DM particle.…”

Section: Appendix D: Results For D-factors (Decaying Dm)mentioning

confidence: 99%

Spherical Jeans analysis for dark matter indirect detection in dwarf spheroidal galaxies - impact of physical parameters and triaxiality

Bonnivard

Combet

Maurin

et al. 2014

Monthly Notices of the Royal Astronomical Society

102

131

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Dwarf spheroidal (dSph) galaxies are among the most promising targets for the indirect detection of dark matter (DM) from annihilation and/or decay products. Empirical estimates of their DM content-and hence the magnitudes of expected signals-rely on inferences from stellar-kinematic data. However, various kinematic analyses can give different results and it is not obvious which are most reliable. Using extensive sets of mock data of various sizes (mimicking 'ultra-faint' and 'classical' dSphs) and an MCMC engine, here we investigate biases, uncertainties, and limitations of analyses based on parametric solutions to the spherical Jeans equation. For a variety of functional forms for the tracer and DM density profiles, as well as the orbital anisotropy profile, we examine reliability of estimates for the astrophysical J-and D-factors for annihilation and decay, respectively. For large (N 1000) stellar-kinematic samples typical of 'classical' dSphs, errors tend to be dominated by systematics, which can be reduced through the use of sufficiently general and flexible functional forms. For small (N 100) samples typical of 'ultrafaints', statistical uncertainties tend to dominate systematic errors and flexible models are less necessary. We define an optimal strategy that would mitigate sensitivity to priors and other aspects of analyses based on the spherical Jeans equation. We also find that the assumption of spherical symmetry can bias estimates of J (with the 95% credibility intervals not encompassing the true J-factor) when the object is mildly triaxial (axis ratios b/a = 0.8, c/a = 0.6). A concluding table summarises the typical error budget and biases for the different sample sizes considered.

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Section: Appendix D: Results For D-factors (Decaying Dm)mentioning

confidence: 99%

Spherical Jeans analysis for dark matter indirect detection in dwarf spheroidal galaxies - impact of physical parameters and triaxiality

Bonnivard

Combet

Maurin

et al. 2014

Monthly Notices of the Royal Astronomical Society

102

131

View full text Add to dashboard Cite

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“…the maximum allowed mass fraction of the DM, as a function of lifetime, assuming a particle decaying completely to bb or µ + µ − pairs, and scanning over DM masses from 300 GeV to 10 TeV, using the combined constraints from clusters and the extragalactic background [32] (similar constraints are obtained in [42]). …”

Section: B Comparison To Previous Boundsmentioning

confidence: 99%

Energy injection and absorption in the cosmic dark ages

2013

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Dark matter annihilation or de-excitation, decay of metastable species, or other new physics may inject energetic electrons and photons into the photon-baryon fluid during and after recombination. As such particles cool, they partition their energy into a large number of efficiently ionizing electrons and photons, which in turn modify the ionization history. Recent work has provided a simple method for constraining arbitrary energy deposition histories using the cosmic microwave background (CMB); in this note, we present results describing the energy deposition histories for photons and electrons as a function of initial energy and injection redshift. With these results, the CMB bounds on any process injecting some arbitrary spectrum of electrons, positrons and/or photons with arbitrary redshift dependence can be immediately computed.PACS numbers: 95.35.+d,98.80.Es

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“…For long-lifetime decaying DM, there are stringent constraints on the decay lifetime from a wide range of indirect searches (e.g. [36][37][38][39][40][41][42][43][44][45]). In general, these constraints are considerably stronger than our limits, probing lifetimes as long as 10 27−28 s. The exception is for MeV − GeV DM decaying to e + e − pairs; these pairs are difficult to detect directly.…”

Section: General Constraints On Dm Decaymentioning

confidence: 99%

General constraints on dark matter decay from the cosmic microwave background

2017

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Precise measurements of the temperature and polarization anisotropies of the cosmic microwave background can be used to constrain the annihilation and decay of dark matter. In this work, we demonstrate via principal component analysis that the imprint of dark matter decay on the cosmic microwave background can be approximately parameterized by a single number for any given dark matter model. We develop a simple prescription for computing this model-dependent detectability factor, and demonstrate how this approach can be used to set model-independent bounds on a large class of decaying dark matter scenarios. We repeat our analysis for decay lifetimes shorter than the age of the universe, allowing us to set constraints on metastable species other than the dark matter decaying at early times, and decays that only liberate a tiny fraction of the dark matter mass energy. We set precise bounds and validate our principal component analysis using a Markov Chain Monte Carlo approach and Planck 2015 data.PACS numbers: 95.35.+d,98.80.Es

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Publisher’s Note: Gamma Ray Constraints on Decaying Dark Matter [Phys. Rev. D86, 083506 (2012)]

Cited by 39 publications

References 43 publications

Spherical Jeans analysis for dark matter indirect detection in dwarf spheroidal galaxies - impact of physical parameters and triaxiality

Spherical Jeans analysis for dark matter indirect detection in dwarf spheroidal galaxies - impact of physical parameters and triaxiality

Energy injection and absorption in the cosmic dark ages

General constraints on dark matter decay from the cosmic microwave background

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