Utilizes PIC and MHD simulations, complemented by deep learning for data analysis. Currently under journal review. Comments welcome!
Recent observations suggest a stronger confinement of cosmic rays (CRs) in certain astrophysical systems than predicted by current CR-transport theories. We posit that the incorporation of microscale physics into CR-transport models can account for this enhanced CR confinement. We develop a theoretical description of the effect of magnetic microscale fluctuations originating from the mirror instability on macroscopic CR diffusion. We confirm our theory with large-dynamical-range simulations of CR transport in the intracluster medium (ICM) of galaxy clusters and kinetic simulations of CR transport in micromirror fields. We conclude that sub-TeV CR confinement in the ICM is far more effective than previously anticipated on the basis of Galactic-transport extrapolations.
Accepted in Machine Learning and the Physical Sciences Workshop at NeurIPS 2023; 19 pages, 2 figures, 1 table
Deep learning models have been shown to outperform methods that rely on summary statistics, like the power spectrum, in extracting information from complex cosmological data sets. However, due to differences in the subgrid physics implementation and numerical approximations across different simulation suites, models trained on data from one cosmological simulation show a drop in performance when tested on another. Similarly, models trained on any of the simulations would also likely experience a drop in performance when applied to observational data. Training on data from two different suites of the CAMELS hydrodynamic cosmological simulations, we examine the generalization capabilities of Domain Adaptive Graph Neural Networks (DA-GNNs). By utilizing GNNs, we capitalize on their capacity to capture structured scale-free cosmological information from galaxy distributions. Moreover, by including unsupervised domain adaptation via Maximum Mean Discrepancy (MMD), we enable our models to extract domain-invariant features. We demonstrate that DA-GNN achieves higher accuracy and robustness on cross-dataset tasks (up to $28\%$ better relative error and up to almost an order of magnitude better $\chi^2$). Using data visualizations, we show the effects of domain adaptation on proper latent space data alignment. This shows that DA-GNNs are a promising method for extracting domain-independent cosmological information, a vital step toward robust deep learning for real cosmic survey data.
16 pages, 7 Figures. Submitted to The Astrophysical Journal
Magnetized disk winds and wind-driven accretion are an essential and intensively studied dispersion mechanism of protoplanetary disks. However, the stability of these mechanisms has yet to be adequately examined. This paper employs semi-analytic linear perturbation theories under non-ideal magnetohydrodynamics, focusing on disk models whose magnetic diffusivities vary by a few orders of magnitude from the disk midplane to its surface. Linear modes are distinguished by their symmetry with respect to the midplane. These modes have qualitatively different growth rates: symmetric modes almost always decay, while at least one anti-symmetric mode always has a positive growth rate. This growth rate decreases faster than the Keplerian angular velocity with cylindrical radius $R$ in the disk and scales as $R^{-2}$ in the fiducial disk model. The growth of anti-symmetric modes breaks the reflection symmetry across the disk equatorial plane, and may occur even in the absence of the Hall effect. In the disk regions where fully developed anti-symmetric modes occur, accretion flows appear only on one side of the disk, while disk winds occur only on the other. This may explain the asymmetry of some observed protoplanetary-disk outflows.
20 pages, 6 figures, 2 tables, accepted by PASJ. arXiv admin note: text overlap with arXiv:2108.05001
The peptide-like molecules, cyanoformamide (NCCONH2), is the cyano (CN) derivative of formamide (NH2CHO). It is known to play a role in the synthesis of nucleic acid precursors under prebiotic conditions. In this paper, we present a tentative detection of NCCONH2 in the interstellar medium (ISM) with the Atacama Large Millimeter/submillimeter Array (ALMA) archive data. Ten unblended lines of NCCONH2 were seen around 3sigma noise levels toward Sagittarius B2(N1E), a position that is slightly offset from the continuum peak. The column density of NCCONH2 was estimated to be 2.4\times 10^15 cm ^-2, and the fractional abundance of NCCONH2 toward Sgr B2(N1E) was 6.9\times10^-10. The abundance ratio between NCCONH2 and NH2CHO is estimated to be ~0.01. We also searched for other peptide-like molecules toward Sgr B2(N1E). The abundances of NH2CHO, CH3NCO and CH3NHCHO toward Sgr B2(N1E) were about one tenth of those toward Sgr B2(N1S), while the abundances of CH3CONH2 was only one twentieth of that toward Sgr B2(N1S).
Emission in forbidden lines of oxygen, neon, and other species are commonly used to trace winds from protoplanetary disks. Using Cloudy, we calculate such emission for parametrized wind models of the magnetothermal type, following Bai et al. (2016). These models share characteristics with both photoevaporative and magnetocentrifugal winds, which can be regarded as end members, and are favored by recent theoretical research. Both broad and narrow low-velocity components of the lines can be produced with plausible wind parameters, something that traditional wind models have difficulty with. Line luminosities, blueshifts, and widths, as well as trends of these with accretion luminosity and disk inclination, are in general accord with observations
15 pages, 7 figures. Initial version of an article published in Nature Astronomy
Supermassive black holes at the centre of active galactic nuclei power some of the most luminous objects in the Universe. Typically, very long baseline interferometric (VLBI) observations of blazars have revealed only funnel-like morphologies with little information of the ejected plasma internal structure, or lacked the sufficient dynamic range to reconstruct the extended jet emission. Here we show microarcsecond-scale angular resolution images of the blazar 3C 279 obtained at 22 GHz with the space VLBI mission RadioAstron, which allowed us to resolve the jet transversely and reveal several filaments produced by plasma instabilities in a kinetically dominated flow. Our high angular resolution and dynamic range image suggests that emission features traveling down the jet may manifest as a result of differential Doppler-boosting within the filaments, as opposed to the standard shock-in-jet model invoked to explain blazar jet radio variability. Moreover, we infer that the filaments in 3C 279 are possibly threaded by a helical magnetic field rotating clockwise, as seen in the direction of the flow motion, with an intrinsic helix pitch angle of ~45 degrees in a jet with a Lorentz factor of ~13 at the time of observation.
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33 pages, 13 figures, 9 tables, Accepted in ApJ
18 pages, 10 figures, 4 tables, 1 appendix, abstract abridged for arXiv submission
16 pages, 13 figures
24 pages, 10 main + 4 appendix figures
Accepted for publication in ApJ
18 pages, 8 main + 3 appendix figures
10 pages, 4 figures, 3 tables, Accepted to the Machine Learning and the Physical Sciences Workshop at NeurIPS 2023
accepted for publication in MNRAS
32 pages, 9 figures
14 pages, 15 figures
Submitted to ApJ, 31 pages
17 pages, 11 figures, comments are welcome
24 pages, 10 figures, conference proceeding "14th Serbian Conference on Spectral Line Shapes in Astrophysics"
18 pages, 12 figures, accepted for publication in A&A
12 pages, 11 figures, 1 table, submitted to ApJ
14 pages, 11 figures, accepted for publication in the MNRAS
Accepted for publication in The Astrophysical Journal Letters
11 pages, 12 figures
Accepted to JOSA B
11 pages, 9 figures, 3 tables (+2 pages, 1 figure in Appendix). Accepted for publication in MNRAS
35 pages, 12 figures, 4 tables, accepted in mnras
15 pages, 19 figures, accepted for publication in MNRAS
Submitted to PRD
16 pages, 13 figures, 5 tables, submitted to MNRAS
13 pages, 8 figures
12 pages, 11 figures; accepted to MNRAS
9 pages, 3 figures, accepted for publication in Monthly Notices of the Royal Astronomical Society. arXiv admin note: substantial text overlap with arXiv:2104.08035
14 pages, 9 figures
To appear in Proc. of the mm Universe 2023 conference, Grenoble (France), June 2023, published by F. Mayet et al. (Eds), EPJ Web of conferences, EDP Sciences
20 pages, 20 figures. Accepted for publication in A&A
Paper accepted for publication in The Astrophysical Journal; 8 pages, 2 Figures, 3 Tables
Resubmitted to MNRAS after moderate revision
LTD-20 proceedings, submitted to JLTP on Nov 3rd 2023
submitted to MNRAS
19 pages, 6 figures, 6 tables, MNRAS accepted
24 pages, 7 figures, 2 tables
This is the authors' submitted version. To be published with significant updates on the Annual Reviews of Astronomy and Astrophysics. Please refer to the published version once available, which will become available under this url < this https URL >
19 pages, 19 figures, A&A, accepted for publication
16 pages, 6 figures, 8 tables. Accepted for publication in ApJ
in press for SF2A 2023 proceedings
14 pages, 10 figures
25 pages, 29 figures, Accepted for publication in Astronomy and Astrophysics (A&A)
52 pages, 5 tables, 9 figures, accepted to PSJ
20 pages, 6 figures. Accepted for publication in The Planetary Science Journal
7+8 pages including Supplemental Material; 9 figures
6 pages, 4 figures, accepted for publikation in Monthly Notices of the Royal Astronomical Society Letters
29 pages, 9 Figures, submitted to Nature
Accepted at the NeurIPS 2023 workshop on Machine Learning and the Physical Sciences
28 pages, 29 figures
Accepted in ApJ
9 pages, 3 figures, LTD20
28 pages, 11 figures
22 pages, 11 figures, 1 table
7 pages, 3 figures. Prepared for submission to PRL
Lectures at Third Training School of COST Action "Quantum gravity phenomenology in the multi-messenger approach", to be published in PoS. 39 pages, 22 figures
Invited review for the AAPPS bulletin