Accepted to ApJ, comments welcome
Gravitational instability in the outskirts of Active Galactic Nuclei (AGN) disks lead to disk fragmentation and formation of super-massive (several 10^2Msun) stars with potentially long lifetimes. Alternatively, stars can be captured ex-situ and grow from gas accretion in the AGN disk. However, the number density distribution throughout the disk is limited by thermal feedback as their luminosities provide the dominant heating source. We derive equilibrium stellar surface density profiles under two limiting contexts: in the case where the stellar lifetimes are prolonged due to recycling of hydrogen rich disk gas, only the fraction of gas converted into heat is removed from the disk accretion flow. Alternatively, if stellar composition recycling is inefficient and stars can evolve off the main sequence, the disk accretion rate is quenched towards smaller radii resembling a classical star-burst disk, albeit the effective removal rate depends not only on the stellar lifetime, but also the mass of stellar remnants. For AGNs with central Supermassive Black Hole (SMBH) masses of \sim 10^6 to 10^8Msun accreting at \sim 0.1 Eddington efficiency, we estimate a total number of 10^3 to 10^5 coexisting massive stars and the rate of stellar mergers to be 10^-3 to 1 per year. We motivate the detailed study of interaction between a swarm of massive stars through hydro and N body simulations to provide better prescriptions of dynamical processes in AGN disks, and to constrain more accurate estimates of the stellar population.
11 pages, 7 figures, accepted to ApJ
Large-scale cosmic filaments may have played an important role in shaping the properties of galaxies. Meanwhile, cosmic filaments are believed to harbor a substantial portion of the missing baryons at redshift z < 2. To inspect the role of filaments in these issues, many properties of filaments need to be examined, including their lengths, thicknesses, and density profiles. However, measuring some of these properties poses challenges. This study concentrates on estimating filament width/thickness, investigating potential correlations between the local width of filaments and the properties of dark matter halos within filaments. We find that the local width of filaments generally increases with the mass of dark matter halos embedded in filaments per unit length, roughly following a secondorder polynomial, although with notable scatter. We probe and discuss means that may refine our findings. After further verification and improvements, this relation could be applied to filament samples constructed from the observed galaxy distribution, aiding in understanding the roles of cosmic filaments in galaxy evolution and uncovering the missing baryons.
10 pages,9 figures
We propose a lightweight deep convolutional neural network (lCNN) to estimate cosmological parameters from simulated three-dimensional DM halo distributions and associated statistics. The training dataset comprises 2000 realizations of a cubic box with a side length of 1000 $h^{-1}{\rm Mpc}$, and interpolated over a cubic grid of $300^3$ voxels, with each simulation produced using $512^3$ DM particles and $512^3$ neutrinos . Under the flat $\Lambda$CDM model, simulations vary standard six cosmological parameters including $\Omega_m$, $\Omega_b$, $h$, $n_s$, $\sigma_8$, $w$, along with the neutrino mass sum, $M_\nu$. We find that: 1) within the framework of lCNN, extracting large-scale structure information is more efficient from the halo density field compared to relying on the statistical quantities including the power spectrum, the two-point correlation function, and the coefficients from wavelet scattering transform; 2) combining the halo density field with its Fourier transformed counterpart enhances predictions, while augmenting the training dataset with measured statistics further improves performance; 3) achieving high accuracy in inferring $\Omega_m$, $h$, $n_s$, and $\sigma_8$ by the neural network model, while being inefficient in predicting $\Omega_b$,$M_\nu$ and $w$; 4) compared to the simple random forest network trained with three statistical quantities, lCNN yields unbiased estimations with reduced statistical errors: approximately 33.3\% for $\Omega_m$, 20.0\% for $h$, 8.3\% for $n_s$, and 40.0\% for $\sigma_8$. Our study emphasizes this lCNN-based novel approach in extracting large-scale structure information and estimating cosmological parameters.
22 pages, 17 figures
Past studies have long emphasised the key role played by galactic stellar bars in the context of disc secular evolution, via the redistribution of gas and stars, the triggering of star formation, and the formation of prominent structures such as rings and central mass concentrations. However, the exact physical processes acting on those structures, as well as the timescales associated with the building and consumption of central gas reservoirs are still not well understood. We are building a suite of hydro-dynamical RAMSES simulations of isolated, low-redshift galaxies that mimic the properties of the PHANGS sample. The initial conditions of the models reproduce the observed stellar mass, disc scale length, or gas fraction, and this paper presents a first subset of these models. Most of our simulated galaxies develop a prominent bar structure, which itself triggers central gas fuelling and the building of an over-density with a typical scale of 100-1000 pc. We confirm that if the host galaxy features an ellipsoidal component, the formation of the bar and gas fuelling are delayed. We show that most of our simulations follow a common time evolution, when accounting for mass scaling and the bar formation time. In our simulations, the stellar mass of $10^{10}$~M$_{\odot}$ seems to mark a change in the phases describing the time evolution of the bar and its impact on the interstellar medium. In massive discs (M$_{\star} \geq 10^{10}$~M$_{\odot}$), we observe the formation of a central gas reservoir with star formation mostly occurring within a restricted starburst region, leading to a gas depletion phase. Lower-mass systems (M$_{\star} < 10^{10}$~M$_{\odot}$) do not exhibit such a depletion phase, and show a more homogeneous spread of star-forming regions along the bar structure, and do not appear to host inner bar-driven discs or rings.
11 pages, 2 figures, submitted to Physical Review D
28 pages, 18 figures. Submitted to PTEP
Accepted for publication in the Astrophysical Journal (ApJ). 17 pages, 16 figures
Submitted to A&A - Comments are welcome
8 pages, 4 figures
Submitted to the Astronomical Journal (13 pages, 6 figures)
Corresponding authors: G.Bourdarot, P.Kervella, O.Pfuhl. Accepted in A&A Letters
19 Pages, 18 Figures, submitted to MNRAS
15 pages, 8 figures, accepted A&A
Accepted for publication in Earth and Planetary Science Letters. 8 figures (plus 3 supplementary figs), two tables
18 pages, 29 figures. Submitted to A&A
Submitted to the Astrnomical Journal
15 pages, 11 figures
Accepted to the Planetary Science Journal; will be published 2024 April 12
83 pages, 246 figures. To be published in A&A, accepted January 27, 2024
8 pages, 4 figures, 3 tables. Submitted to A&A
Main text: 13 pages, 8 figures, accepted for publication in A&A
8 pages with no figures, comments very welcome !
21 pages, 14 figures, submitted to MNRAS
Originally submitted in 2020 to MNRAS. To be resubmitted: comments welcome
5 pages, 3 figures, 1 table
12 pages, 12 figures, accepted to MNRAS
8 pages, 5 figures, 4 tables
8 pages, 5 figures
11 pages, 8 figures, 1 table, Accepted for publication in MNRAS
12 pages, 5 figures. Accepted for publication in Monthly Notices of the Royal Astronomical Society (MNRAS)
16 pages, 6 figures. Accepted for publication in Astronomy and Astrophysics
24 pages, 5 figures, 7 tables
24 pages and 27 figures. Accepted for publication in A&A
25 pages, 14 figures
14 pages, 15 figures. Submitted to MNRAS. Comments are welcome
11 pages, 3 figures, Accepted for publication in The Bulletin de la Soci\'et\'e Royale des Sciences de Li\`ege
10 pages, 3 figures;
12 pages + appendices, 15 figures, 5 years, a pandemic, and a brain tumour in the making, submitted to ApJ(L), comments welcome
18 pages, 13 figures
9 pages,10 figures
Accepted for publication in Treatise on Geochemistry, 3rd
45 pages, 23 figures. In press at ApJ. Data will be released at the FEASTS site upon publication
12 pages, 9 figures, 4 tables
18 pages, 7 figures, 2 tables, accepted for publication in ApJ
12 pages, 8 figures, submitted to MNRAS
12 pages, 9 figures, accepted for publication in ApJ
6+3 pages, 5+4 figures
16 pages, 15 figures. Accepted for publication in MNRAS
5 pages, 3 figures, submitted to A&A
28 pages, 25 figures, accepted in MNRAS
8 pages, 5 figures, 5 tables, comments welcome. arXiv admin note: text overlap with arXiv:2403.14169
Submitted to Astronomy & Astrophysics, 19 pages, 15 figures
Accepted for publication in Research in Astronomy and Astrophysics
26 pages, 16 figures
7 pages, 6 figures, 2 table, accepted for publication in ApJ
Review paper, 34 pages, accepted for publication on MPDI Galaxies special issue "Molecular gas in Dusty Star-Forming Galaxies at the Cosmic Noon"
5 pages, 2 figures
Submitted to A&A. Comments are welcome!
16 pages, 14 figures, accepted in MNRAS
7 figures
Accepted to MNRAS
29 pages, 9 figures, 3 tables, submitted to AAS Journals
18 pages, 9 figures, 1 table. Comments are welcome
A&A accepted for publication
21 pages, 30 figures
15 pages, 10 figures, 4 tables, accepted for publication in A&A
22 pages + references, 7 figures, 2 tables; added references, matches published version
23 pages, 13 figures
16 pages, no figures, Latex2e source file, one Appendix
26 pages LaTeX Submitted to {\it Particle Theory and Theoretical Cosmology}, Festschrift for 80th anniversary of P.H. Frampton. To appear in {\it Entropy} journal, and Special Edition, MDPI Books (2024). arXiv admin note: substantial text overlap with arXiv:1511.08801 , arXiv:2304.10370
33 pages, 10 figures
66 pages, 13 figures
16 pages, 4 tables, 3 figures. Accepted for publication in Symmetry
LaTex2e, 6 pages, no figures, no tables
9 pages, 3 figures
22 pages, 16 figures, for more information about the combined pre-supernova alert system, see this https URL
24 pages, 15 figures, 6 tables