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Kavli Institute for Cosmology, Cambridge

 

Fri 14 Nov 11:30: From Primordial Magnetic Fields to AGN-Driven Magnetized Outflows

Upcoming Talks - Wed, 10/09/2025 - 08:11
From Primordial Magnetic Fields to AGN-Driven Magnetized Outflows

Magnetic fields are ubiquitous across cosmic scales, yet their role in galaxy formation remains elusive. In this talk, I show that primordial magnetic fields, originating before the end of recombination, can amplify small perturbations, accelerating the collapse of the first dark matter halos. This results in an early onset and efficient star formation, consistent with JWST observations. However, primordial fields are not the only source of magnetization at high redshifts. Using RAMSES -RTMHD cosmological simulations, I compare the role of primordial fields and AGN -driven outflows in shaping the magnetic landscape of the high-redshift universe.

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Fri 31 Oct 11:30: Title to be confirmed

Upcoming Talks - Tue, 09/09/2025 - 14:01
Title to be confirmed

Abstract not available

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Fe Abundances of Early Galaxies at $z=9-12$ Derived with Deep JWST Spectra

KICC papers - Tue, 09/09/2025 - 12:08
arXiv:2503.11457v3 Announce Type: replace Abstract: We derive Fe-abundance ratios of 7 galaxies at $z=9-12$ with $-22

Robust variational neural posterior estimation for simulation-based inference

KICC papers - Tue, 09/09/2025 - 12:01
arXiv:2509.05724v1 Announce Type: cross Abstract: Recent advances in neural density estimation have enabled powerful simulation-based inference (SBI) methods that can flexibly approximate Bayesian inference for intractable stochastic models. Although these methods have demonstrated reliable posterior estimation when the simulator accurately represents the underlying data generative process (GDP), recent work has shown that they perform poorly in the presence of model misspecification. This poses a significant problem for their use on real-world problems, due to simulators always misrepresenting the true DGP to a certain degree. In this paper, we introduce robust variational neural posterior estimation (RVNP), a method which addresses the problem of misspecification in amortised SBI by bridging the simulation-to-reality gap using variational inference and error modelling. We test RVNP on multiple benchmark tasks, including using real data from astronomy, and show that it can recover robust posterior inference in a data-driven manner without adopting tunable hyperparameters or priors governing the misspecification.

The possible accretion discs of GN-z11 at redshift z = 10.6, MoM-z14 at z = 14.44 and other high redshift objects

KICC papers - Tue, 09/09/2025 - 11:54
arXiv:2509.05459v1 Announce Type: new Abstract: The JWST has enabled the discovery of Active Galactic Nuclei at high redshifts. The intrinsic UV spectrum of GN-z11 at redshift z = 10.6 has a spectral slope compatible with a standard accretion disc. By fitting a disc model to its spectrum, we find that the mass of the black hole must be above 1.6e7 Msun in order that it lies below the Eddington limit. We define this mass as the Eddington mass of the black hole. We note that the spectral shape is consistent with that of accreting stellar mass black holes sources in their soft state, for which no variability is expected. Mom-z14 is a more distant object at z = 14.44 and has a similar UV slope. Disc model-fitting gives a similar result but lower mass accretion rate. We also examine 3 further high redshift objects: GS z14-1, GHZ2 and GS-z11-1 at z = 13.86, 12.34 and 11.28, again obtaining similar results. If sub-Eddington accretion discs are indeed the origin of much of the UV emission from these objects, then the existence of massive black holes less than 440 and 290 Myr after the Big Bang point either to exceptional black hole seeds or to primordial black holes. The observed spread of UV spectral slopes in high redshift objects suggests that our approach may be relevant to about half of that population.

Another view into JWST-discovered X-ray weak AGNs via radiative dusty feedback

KICC papers - Tue, 09/09/2025 - 11:51
arXiv:2509.05423v1 Announce Type: new Abstract: JWST has revealed a previously unknown population of low-luminosity active galactic nuclei (AGN) in the early Universe. These JWST-AGN at high redshifts are characterised by a set of peculiar properties, including unusually weak X-ray emission. Here we investigate the apparent lack of X-ray emission in the framework of the ``AGN radiative dusty feedback'' scenario based on the effective Eddington limit for dust. We analyse how the boundary in the $N_\mathrm{H} - \lambda$ plane, defined by the column density versus the Eddington ratio, is modified as a function of the dusty gas parameters (metallicity, dust grain size and composition). Low metallicity gas with little dust content tends to survive against radiation pressure, and likely accumulates in the nuclear region. We suggest that such dust-poor gas can provide long-lived absorption and may lead to heavy X-ray obscuration, as observed in early JWST-AGN. The blowout vs. stalling condition of the obscuring clouds indicates that higher metallicities are required to eject heavier column densities, while large columns of gas can stall in low metallicity environments. Therefore the metallicity may play a key role in the AGN radiative dusty feedback scenario. We discuss how other peculiar properties of JWST-AGN --such as Balmer absorption features and weak radio emission-- may be naturally interpreted within the same physical framework.

Mon 24 Nov 13:00: Title to be confirmed

Upcoming Talks - Sun, 07/09/2025 - 11:59
Title to be confirmed

Abstract not available

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Mon 27 Oct 13:00: Title to be confirmed

Upcoming Talks - Sun, 07/09/2025 - 11:58
Title to be confirmed

Abstract not available

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Mon 06 Oct 13:00: Title to be confirmed

Upcoming Talks - Sun, 07/09/2025 - 11:57
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Mon 13 Oct 13:00: Title to be confirmed

Upcoming Talks - Sun, 07/09/2025 - 11:56
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Gravitational-wave inference at GPU speed: A bilby-like nested sampling kernel within blackjax-ns

KICC papers - Fri, 05/09/2025 - 10:44
arXiv:2509.04336v1 Announce Type: cross Abstract: We present a GPU-accelerated implementation of the gravitational-wave Bayesian inference pipeline for parameter estimation and model comparison. Specifically, we implement the `acceptance-walk' sampling method, a cornerstone algorithm for gravitational-wave inference within the bilby and dynesty framework. By integrating this trusted kernel with the vectorized blackjax-ns framework, we achieve typical speedups of 20-40x for aligned spin binary black hole analyses, while recovering posteriors and evidences that are statistically identical to the original CPU implementation. This faithful re-implementation of a community-standard algorithm establishes a foundational benchmark for gravitational-wave inference. It quantifies the performance gains attributable solely to the architectural shift to GPUs, creating a vital reference against which future parallel sampling algorithms can be rigorously assessed. This allows for a clear distinction between algorithmic innovation and the inherent speedup from hardware. Our work provides a validated community tool for performing GPU-accelerated nested sampling in gravitational-wave data analyses.

Unraveling the Nature of the Nuclear Transient AT2020adpi

KICC papers - Fri, 05/09/2025 - 10:07
arXiv:2509.03593v1 Announce Type: new Abstract: Transient events associated with supermassive black holes provide rare opportunities to study accretion and the environments of supermassive black holes. We present a multiwavelength study of AT2020adpi (ZTF20acvfraq), a luminous optical/UV transient in the nucleus of the galaxy WISEA J231853.77$-$103505.6 ($z=0.26$) that exhibits the properties of an ambiguous nuclear transient. Near peak, its spectral energy distribution is well described by a power law ($\lambda L_\lambda \propto \lambda^{-\alpha}$, $\alpha = 0.44 \pm 0.04$), with a maximum $g$-band luminosity of $(3.6 \pm 0.6)\times10^{44}$ erg s$^{-1}$, which is consistent with luminous AGN flares. We detect a strong mid-infrared flare ($L_\mathrm{peak}^{\mathrm{MIR}} = (2.3 \pm 0.05)\times10^{44}$ erg s$^{-1}$) delayed by $\sim$240 rest-frame days, indicating a hot dust echo from material at $\sim$0.2 pc. The optical and near-infrared spectra show broad H, He I, [OIII] lines, as well as narrow Fe II, and prominent Mg II, which is a combination not typical of TDEs. Taken together, these features suggest AT2020adpi is an ambiguous nuclear transient, where an accretion episode was triggered by stellar disruption of an accretion disk or instabilities within an active nucleus. This source demonstrates the need for careful multiwavelength analysis to distinguish between extreme AGN variability and TDEs.

The clustering of C IV and Si IV at the end of reionisation: A perspective from the E-XQR-30 survey

KICC papers - Fri, 05/09/2025 - 10:05
arXiv:2509.03585v1 Announce Type: new Abstract: We aim to study the clustering of metal absorption lines and the structures that they arise in as a function of cosmic time. We focus on C IV and Si IV absorption features that are identified along a given quasar sightline. We exploit the two-point correlation function (2PCF) to investigate the clustering of these structures as a function of their separation. We utilise the E-XQR-30 data to perform a novel analysis at z>5. We also draw on literature surveys (including XQ-100) of lower redshift quasars to investigate the possible evolution of this clustering towards cosmic noon (i.e., z~2-3). We find no significant evolution with redshift when considering the separation of absorbers in velocity space. Since we are comparing data across a large interval of cosmic time, we also consider the separation between absorbers in the reference frame of physical distances. In this reference frame, we find that the amplitude of the clustering increases with cosmic time for both C IV and Si IV on the scales of <1500 physical kpc. For the first time, we assess the 2PCF of C IV and Si IV close to the epoch of reionisation utilising the absorber catalogue from the E-XQR-30 survey. We compare this with lower redshift data and find that, on small scales, the clustering of these structures grows with cosmic time. We compare these results to the clustering of galaxies in the GAEA simulations. It appears that the structures traced by C IV are broadly comparable to the galaxies from the considered simulations. The clustering is most similar to that of the galaxies with virial masses M~10^10.5 M_sun. We require tailor-made simulations to investigate the full range of factors contributing to the observed clustering. Future ground-based spectrographs will further facilitate surveys of absorbers at this epoch with increased sensitivity.

Was a blob of dark matter spotted in the Milky Way?

Cosmology Papers - Fri, 05/09/2025 - 09:49
Science, Volume 389, Issue 6764, Page 962-963, September 2025.

Should it be space-time or spacetime – and why does it matter anyway?

Cosmology Papers - Fri, 05/09/2025 - 09:47

Seeking endorsements for her new book, Chanda Prescod-Weinstein finds herself staring at fundamental questions of space, time – and grammar

Comparison of Halo Model and Simulation Predictions for Projected-Field Kinematic Sunyaev-Zel'dovich Cross-Correlations

KICC papers - Thu, 04/09/2025 - 10:46
arXiv:2509.03458v1 Announce Type: new Abstract: The kinematic Sunyaev-Zel'dovich (kSZ) effect in the cosmic microwave background (CMB) is a powerful probe of gas physics and large-scale structure (LSS) in our universe. We consider the "projected-field" kSZ estimator, which involves cross-correlating a foreground-cleaned, filtered, squared CMB temperature map with an LSS tracer, and requires no individual tracer redshifts. We compare $\verb|class_sz|$ halo model calculations of projected-field kSZ cross-correlations with measurements of these signals from the Websky numerical simulations. We cross-correlate halo density maps from Websky with various CMB secondary signals. We first validate our halo model by comparing its predictions for thermal SZ (tSZ) and patchy screening ($\tau$) cross-correlations to measurements of these signals from Websky. We consider three different halo redshift ranges in our comparisons. We also construct our own kSZ, tSZ, and $\tau$ maps to validate the form of the relevant profiles. Following the tSZ and $\tau$ validation, we compare projected-field kSZ calculations between the halo model and the simulations. We use filters constructed for $\textit{Planck}$ and the Simons Observatory (SO) to assess the accuracy of the halo-model kSZ predictions for experiments of differing sensitivity. Overall, we find good agreement, particularly at $\textit{Planck}$ sensitivity. However, we find an $\approx$ 20$\%$ difference between our halo model and the simulations for SO, which significantly exceeds the predicted error bars. We note that our halo model includes only the dominant expected term in the projected-field kSZ signal; the magnitude of the difference between our model and the simulations is consistent with previous predictions for terms arising from other contractions in the theory calculation. These terms will need to be included to obtain unbiased inference from upcoming projected-field kSZ measurements.

GRB 250704B: An Off-axis Short GRB with a Long-Lived Afterglow Plateau

KICC papers - Thu, 04/09/2025 - 10:37
arXiv:2509.02769v1 Announce Type: new Abstract: We present a detailed multi-wavelength afterglow study of the short GRB 250704B, extensively monitored in optical and near-infrared bands. Its afterglow displays an unusually long-duration plateau followed by an achromatic break and a steep decline, deviating from canonical GRB afterglows. While long plateaus are often explained by central engine activity, we find that for GRB 250704B, an energy injection model requires unreasonable parameters. The afterglow is better explained by an off-axis power-law structured jet with a narrow core ($\theta_c \approx 0.7^{\circ}$) viewed at a modest angle ($\theta_v \approx 1.9^{\circ}$). A comparison with GRB 170817A shows that both events are consistent with the off-axis structured jet scenario, where the shape of the light curve is governed primarily by the geometry of the jet and the viewing angle rather than the energetics, microphysical parameters, or external density. Our results underscore the importance of incorporating the jet structure in GRB modeling.