395 research outputs found

    Sloshing of Galaxy Cluster Core Plasma in the Presence of Self-Interacting Dark Matter

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    The "sloshing" of the cold gas in the cores of relaxed clusters of galaxies is a widespread phenomenon, evidenced by the presence of spiral-shaped "cold fronts" in X-ray observations of these systems. In simulations, these flows of cold gas readily form by interactions of the cluster core with small subclusters, due to a separation of the cold gas from the dark matter (DM), due to their markedly different collisionalities. In this work, we use numerical simulations to investigate the effects of increasing the DM collisionality on sloshing cold fronts in a cool-core cluster. For clusters in isolation, the formation of a flat DM core via self-interactions results in modest adiabatic expansion and cooling of the core gas. In merger simulations, cold fronts form in the same manner as in previous simulations, but the flattened potential in the core region enables the gas to expand to larger radii in the initial stages. Upon infall, the subcluster's DM mass decreases via collisions, reducing its influence on the core. Thus, the sloshing gas moves slower, inhibiting the growth of fluid instabilities relative to simulations where the DM cross section is zero. This also inhibits turbulent mixing and the increase in entropy that would otherwise result. For values of the cross section σ/m>1\sigma/m > 1, subclusters do not survive as self-gravitating structures for more than two core passages. Additionally, separations between the peaks in the X-ray emissivity and thermal Sunyaev-Zeldovich effect signals during sloshing may place constraints on DM self-interactions.Comment: 20 pages, 14 figures, submitted to Ap

    The structure and assembly history of cluster-size haloes in Self-Interacting Dark Matter

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    We perform dark-matter-only simulations of 28 relaxed massive cluster-sized haloes for Cold Dark Matter (CDM) and Self-Interacting Dark Matter (SIDM) models, to study structural differences between the models at large radii, where the impact of baryonic physics is expected to be very limited. We find that the distributions for the radial profiles of the density, ellipsoidal axis ratios, and velocity anisotropies (β\beta) of the haloes differ considerably between the models (at the 1σ\sim1\sigma level), even at 10%\gtrsim10\% of the virial radius, if the self-scattering cross section is σ/mχ=1\sigma/m_\chi=1 cm2^2 gr1^{-1}. Direct comparison with observationally inferred density profiles disfavours SIDM for σ/mχ=1\sigma/m_\chi=1 cm2^2 gr1^{-1}, but in an intermediate radial range (3%\sim3\% of the virial radius), where the impact of baryonic physics is uncertain. At this level of the cross section, we find a narrower β\beta distribution in SIDM, clearly skewed towards isotropic orbits, with no SIDM (90\% of CDM) haloes having β>0.12\beta>0.12 at 7%7\% of the virial radius. We estimate that with an observational sample of 30\sim30 (1015\sim10^{15} M_\odot) relaxed clusters, β\beta can potentially be used to put competitive constraints on SIDM, once observational uncertainties improve by a factor of a few. We study the suppression of the memory of halo assembly history in SIDM clusters. For σ/mχ=1\sigma/m_\chi=1 cm2^2 gr1^{-1}, we find that this happens only in the central halo regions (1/4\sim1/4 of the scale radius of the halo), and only for haloes that assembled their mass within this region earlier than a formation redshift zf2z_f\sim2. Otherwise, the memory of assembly remains and is reflected in ways similar to CDM, albeit with weaker trends.Comment: 15 pages, 15 figures. Submitted to MNRAS. Revisions: added new figure with an observational comparison of density profiles, improvements and corrections to the section on velocity anisotropie

    Scattering, Damping, and Acoustic Oscillations: Simulating the Structure of Dark Matter Halos with Relativistic Force Carriers

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    We demonstrate that self-interacting dark matter models with interactions mediated by light particles can have significant deviations in the matter power-spectrum and detailed structure of galactic halos when compared to a standard cold dark matter scenario. While these deviations can take the form of suppression of small scale structure that are in some ways similar to that of warm dark matter, the self-interacting models have a much wider range of possible phenomenology. A long-range force in the dark matter can introduce multiple scales to the initial power spectrum, in the form of dark acoustic oscillations and an exponential cut-off in the power spectrum. Using simulations we show that the impact of these scales can remain observationally relevant up to the present day. Furthermore, the self-interaction can continue to modify the small-scale structure of the dark matter halos, reducing their central densities and creating a dark matter core. The resulting phenomenology is unique to this type of models.Comment: 23 pages, 11 figure

    Enhanced tidal stripping of satellites in the galactic halo from dark matter self-interactions

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    We investigate the effects of self-interacting dark matter (SIDM) on the tidal stripping and evaporation of satellite galaxies in a Milky Way-like host. We use a suite of five zoom-in, dark-matter-only simulations, two with velocity-independent SIDM cross sections, two with velocity-dependent SIDM cross sections, and one cold dark matter simulation for comparison. After carefully assigning stellar mass to satellites at infall, we find that stars are stripped at a higher rate in SIDM than in CDM. In contrast, the total bound dark matter mass loss rate is minimally affected, with subhalo evaporation having negligible effects on satellites for viable SIDM models. Centrally located stars in SIDM haloes disperse out to larger radii as cores grow. Consequently, the half-light radius of satellites increases, stars become more vulnerable to tidal stripping, and the stellar mass function is suppressed. We find that the ratio of core radius to tidal radius accurately predicts the relative strength of enhanced SIDM stellar stripping. Velocity-independent SIDM models show a modest increase in the stellar stripping effect with satellite mass, whereas velocity-dependent SIDM models show a large increase in this effect towards lower masses, making observations of ultra-faint dwarfs prime targets for distinguishing between and constraining SIDM models. Due to small cores in the largest satellites of velocity-dependent SIDM, no identifiable imprint is left on the all-sky properties of the stellar halo. While our results focus on SIDM, the main physical mechanism of enhanced tidal stripping of stars apply similarly to satellites with cores formed via other means.Comment: 19 pages, 18 figures, Accepted by MNRA

    Gravitational Lensing and the Power Spectrum of Dark Matter Substructure: Insights from the ETHOS N-body Simulations

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    Strong gravitational lensing has been identified as a promising astrophysical probe to study the particle nature of dark matter. In this paper we present a detailed study of the power spectrum of the projected mass density (convergence) field of substructure in a Milky Way-sized halo. This power spectrum has been suggested as a key observable that can be extracted from strongly lensed images and yield important clues about the matter distribution within the lens galaxy. We use two different NN-body simulations from the ETHOS framework: one with cold dark matter and another with self-interacting dark matter and a cutoff in the initial power spectrum. Despite earlier works that identified k100 k \gtrsim 100 kpc1^{-1} as the most promising scales to learn about the particle nature of dark matter we find that even at lower wavenumbers - which are actually within reach of observations in the near future - we can gain important information about dark matter. Comparing the amplitude and slope of the power spectrum on scales 0.1k/0.1 \lesssim k/kpc110^{-1} \lesssim 10 from lenses at different redshifts can help us distinguish between cold dark matter and other exotic dark matter scenarios that alter the abundance and central densities of subhalos. Furthermore, by considering the contribution of different mass bins to the power spectrum we find that subhalos in the mass range 10710810^7 - 10^8 M_{\odot} are on average the largest contributors to the power spectrum signal on scales 2k/2 \lesssim k/kpc115^{-1} \lesssim 15, despite the numerous subhalos with masses >108> 10^8 M_{\odot} in a typical lens galaxy. Finally, by comparing the power spectra obtained from the subhalo catalogs to those from the particle data in the simulation snapshots we find that the seemingly-too-simple halo model is in fact a fairly good approximation to the much more complex array of substructure in the lens.Comment: 13 pages + appendices, 7 figure

    Sustainability at UAM-Azcapotzalco for academic programs with virtual classroom methodologies

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    Abstract. The post-pandemic educational processes due to Covid-19 have generated an interest in structuring new learning trends. The Autonomous Metropolitan University (UAM) Azcapotzalco identified the use of methodologies with digital tools known as virtual classrooms during the pandemic to continue academic activities. These digital tools are still being used in different academic programs, including undergraduate and postgraduate programs to promote the professionalism of the university community. This paper provides a general breakdown of the virtual classroom format as a methodology in the teaching-learning processes to improve the educational environment at a higher level and ensure educational sustainability through the innovation of new technologies and digital tools that can be applied at a national and international level. The expected results from this methodology are part of an improvement process aimed at generating academic programs in virtual environments to enrich the educational models at higher and postgraduate levels and creating collaborative groups within each teaching department that can be extrapolated to a unit or campus level.Keyword:Sustainable Academic, Educational Methodology, Educational Process, Virtual Classroom
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