11 pages, 11 figures, submitted to MNRAS
The radiation drag in photon-rich environments of cosmic explosions can seed kinetic instabilities by inducing velocity spreads between relativistically streaming plasma components. Such microturbulence is likely imprinted on the breakout signals of radiation-mediated shocks. However, large-scale, transverse magnetic fields in the deceleration region of the shock transition can suppress the dominant kinetic instabilities by preventing the development of velocity separations between electron-positron pairs and a heavy ion species. We use a one-dimensional (1D) five-fluid radiative transfer code to generate self-consistent profiles of the radiation drag force and plasma composition in the deceleration region. For increasing magnetization, our models predict rapidly growing pair multiplicities and a substantial radiative drag developing self-similarly throughout the deceleration region. We extract the critical magnetization parameter $\sigma_{c}$, determining the limiting magnetic field strength at which a three-species plasma can develop kinetic instabilities before reaching the isotropized downstream. For a relativistic, single ion plasma drifting with $\gamma_{u} = 10$ in the upstream of a relativistic radiation-mediated shock, we find the threshold $\sigma_{c}\approx 10^{-7}$ for the onset of microturbulence. Suppression of plasma instabilities in the case of multi-ion composition would likely require much higher values of $\sigma_{c}$. Identifying high-energy signatures of microturbulence in shock-breakout signals and combining them with the magnetization limits provided in this work will allow a deeper understanding of the magnetic environment of cosmic explosions like supernovae, gamma-ray bursts, and neutron star binary mergers.
15 pages, 3 figures
We consider the scenario in which the Peccei-Quinn symmetry breaking is followed by a period of inflation. A particularly interesting case is that the string-domain wall network produced by the symmetry breaking enters the horizon after the QCD phase transition. We show that the abundance of axions produced by such a string-domain wall network is counterintuitively much larger than the conventional post-inflationary Peccei-Quinn symmetry breaking scenario. As a result, a scenario with the axion decay constant even as low as the astrophysical bound of about $10^8$ GeV can explain the observed abundance of dark matter. The axion mini-halos produced from the string-domain wall network is much more massive than the conventional scenario. We also briefly discuss models which can realize this scenario such as a Peccei-Quinn phase transition during inflation or a second inflation after a Peccei-Quinn phase transition.
15 pages, 8 figures (+ 6 pages, 2 figures in Appendix). Submitted to ApJ. Code at this https URL
We present a Bayesian graph neural network (BGNN) that can estimate the weak lensing convergence ($\kappa$) from photometric measurements of galaxies along a given line of sight. The method is of particular interest in strong gravitational time delay cosmography (TDC), where characterizing the "external convergence" ($\kappa_{\rm ext}$) from the lens environment and line of sight is necessary for precise inference of the Hubble constant ($H_0$). Starting from a large-scale simulation with a $\kappa$ resolution of $\sim$1$'$, we introduce fluctuations on galaxy-galaxy lensing scales of $\sim$1$''$ and extract random sightlines to train our BGNN. We then evaluate the model on test sets with varying degrees of overlap with the training distribution. For each test set of 1,000 sightlines, the BGNN infers the individual $\kappa$ posteriors, which we combine in a hierarchical Bayesian model to yield constraints on the hyperparameters governing the population. For a test field well sampled by the training set, the BGNN recovers the population mean of $\kappa$ precisely and without bias, resulting in a contribution to the $H_0$ error budget well under 1\%. In the tails of the training set with sparse samples, the BGNN, which can ingest all available information about each sightline, extracts more $\kappa$ signal compared to a simplified version of the traditional method based on matching galaxy number counts, which is limited by sample variance. Our hierarchical inference pipeline using BGNNs promises to improve the $\kappa_{\rm ext}$ characterization for precision TDC. The implementation of our pipeline is available as a public Python package, Node to Joy.
17 pages, 5 figures, submitted to AJ. Code available at this https URL
We introduce the neural network architecture SPENDER as a core differentiable building block for analyzing, representing, and creating galaxy spectra. It combines a convolutional encoder, which pays attention to up to 256 spectral features and compresses them into a low-dimensional latent space, with a decoder that generates a restframe representation, whose spectral range and resolution exceeds that of the observing instrument. The decoder is followed by explicit redshift, resampling, and convolution transformations to match the observations. The architecture takes galaxy spectra at arbitrary redshifts and is robust to glitches like residuals of the skyline subtraction, so that spectra from a large survey can be ingested directly without additional preprocessing. We demonstrate the performance of SPENDER by training on the entire spectroscopic galaxy sample of SDSS-II; show its ability to create highly accurate reconstructions with substantially reduced noise; perform deconvolution and oversampling for a super-resolution model that resolves the [OII] doublet; introduce a novel method to interpret attention weights as proxies for important spectral features; and infer the main degrees of freedom represented in the latent space. We conclude with a discussion of future improvements and applications.
26 pages, 8 figures, 1 table. Accepted by ApJ
Pulsating ultraluminous X-ray sources (PULXs) are accreting pulsars with apparent X-ray luminosity exceeding $10^{39}\, \rm erg\ s^{-1}$. We perform Monte-Carlo simulations to investigate whether high collimation effect (or strong beaming effect) is dominant in the presence of accretion outflows, for the fan beam emission of the accretion column of the neutron stars in PULXs. We show that the three nearby PULXs (RX J0209.6$-$7427, Swift J0243.6+6124 and SMC X-3), namely the three musketeers here, have their main pulsed emission not strongly collimated even if strong outflows exist. This conclusion can be extended to the current sample of extragalactic PULXs, if accretion outflows are commonly produced from them. This means that the observed high luminosity of PULXs is indeed intrinsic, which can be used to infer the existence of very strong surface magnetic fields of $\sim10^{13-14}$ G, possibly multipole fields. However, if strong outflows are launched from the accretion disks in PULXs as a consequence of disk spherization by radiation pressure, regular dipole magnetic fields of $\sim10^{12}$ G may be required, comparable to that of the three musketeers, which have experienced large luminosity changes from well below their Eddington limit ($2\times10^{38}\, \rm erg\ s^{-1}$ for a NS) to super-Eddington and their maximum luminosity fills the luminosity gap between Galactic pulsars and extragalactic PULXs.
12 pages, 5 figures
Brown dwarfs (BDs) are celestial objects representing the link between the least massive main-sequence stars and giant gas planets. In the first part of this article, we perform a model-independent search of a gamma-ray signal from the direction of nine nearby BDs in 13 years of Fermi-LAT data. We find no significant excess of gamma rays, and we, therefore, set 95 % confidence level upper limits on the gamma-ray flux with a binned-likelihood approach. In the second part of the paper, we interpret these bounds within an exotic mechanism proposed for gamma-ray production in BDs: If the dark matter (DM) of the universe is constituted of particles with non-negligible couplings to the standard model, BDs may efficiently accumulate them through scatterings. DM particles eventually thermalise, and can annihilate into light, long-lived, mediators which later decay into photons outside the BD. Within this framework, we set a stacked upper limits on the DM-nucleon elastic scattering cross section at the level $\sim 10^{-38}$ cm$^{2}$ for DM masses below 10 GeV. Our limits are comparable to similar bounds from the capture of DM particles in celestial objects, but have the advantage of covering a larger portion of the parameter space in mediator decay length and DM mass. They also depend only on the local DM abundance, as opposed to the inner Galaxy profile, and are thus more robust.
11 pages, 21 figures, accepted to MNRAS
Galaxies broadly fall into two categories: star-forming (blue) galaxies and quiescent (red) galaxies. In between, one finds the less populated ``green valley". Some of these galaxies are suspected to be in the process of ceasing their star-formation through a gradual exhaustion of gas supply or already dead and are experiencing a rejuvenation of star-formation through fuel injection. We use the Galaxy And Mass Assembly database and the Galaxy Zoo citizen science morphological estimates to compare the morphology of galaxies in the green valley against those in the red sequence and blue cloud. Our goal is to examine the structural differences within galaxies that fall in the green valley, and what brings them there. Previous results found disc features such as rings and lenses are more prominently represented in the green valley population. We revisit this with a similar sized data set of galaxies with morphology labels provided by the Galaxy Zoo for the GAMA fields based on new KiDS images. Our aim is to compare qualitatively the results from expert classification to that of citizen science. We observe that ring structures are indeed found more commonly in green valley galaxies compared to their red and blue counterparts. We suggest that ring structures are a consequence of disc galaxies in the green valley actively exhibiting characteristics of fading discs and evolving disc morphology of galaxies. We note that the progression from blue to red correlates with loosening spiral arm structure.
19 pages, 12 figures, 2 tables. Submitted to MNRAS, comments welcome
10 pages, 8 figures, submitted to MNRAS. Comments welcome!
Submitted to MNRAS
11 Figures, 19 pages
Accepted for Publication by A&A, 18 pages, 14 figures
26 pages, 19 figures, Accepted for publication in MNRAS
Accepted for publication in A&A. 20 pages, 15 figures
21 pages, 14 figures, submitted to ApJ. Comments welcome
17 pages, 11 figures. to be published in MNRAS
15 pages, 14 figures, 1 appendix, accepted for publication in A&A
Accepted for publication in MNRAS. 10 pages, 4 figures, 5 tables
8 pages, 4 figures, Accepted for publication in ApJL. Please also see Thao et al. (2022) for the transmission spectrum of K2-33b
Accepted to AJ. 26 pages, 14 figures, 6 tables
Submitted to the Astrophysical Journal. 14 pages, 7 figures
Published in Monthly Notices of the Royal Astronomical Society
Accepted for publication in MNRAS Letters
Accepted for publication in the Astrophysical Journal. 12 pages, 2 figures, and 1 table
10 pages, Opinion, Accepted to Aerospace (MDPI) Special Issue "The Search for Signs of Life on Venus: Science Objectives and Mission Designs"
22 pages, 18 figures. Submitted to the Astronomy & Astrophysics (A&A) journal
AAS Russel Lecture June 2022 (N. Scoville), 18 pages. arXiv admin note: text overlap with arXiv:1702.04729
HENRY NORRIS RUSSELL PRIZE lecture. 25 pages, 20 figures. ApJ accepted
6 pages, 2 figures, 1 table
23 Pages, 9 figures, Submitted for publication in PTEP journal on 13 November, 2022
43 pages, 14 figures, submitted to ApJ
14 pages, 5 figures
10 pages, 7 figures - accepted for publication in MNRAS
24 pages, 15 figures
Submitted to ApJL
23 pages, 19 figures, accepted by ApJ
15 pages, 12 figures, submitted to MNRAS
15 pages, 6 figures
Accepted for publication in Astronomy and Astrophysics Letters, data of tables A.1, A.2 and A.4 are available at this https URL
20 pages, 5 figures, 3 tables, Accepted for publication in The Astrophysical Journal
MNRAS submitted
5 pages, 4 figures
17 pages, prepared for the Special Issue of Universe "Modified Gravity Approaches to the Tensions of $\Lambda$CDM"
6 pages, 1 Table. Submitted
accepted for publication in A&A, in press
24 pages, 14 figures, submitted to ApJ, comments welcome
Submitted to ApJ. Main text 22 pages, 20 figures. Main results in Figs 14 (Xi_ion), 15 (MEx diagram),17 (MZR), 19 ([OIII] luminosity density). Comments welcome
10 pages, 9 figures, 5 tables; Accepted for publication in A&A Letters
3 tables, 2 figures, 3 extended data figures, 1 supplementary table
text 17 pages, 3 Tables, 8 Figures
18 pages, accepted for publication in A&A
8 pages, 2 figures
11 pages, 8 figures. Accepted for publication in MNRAS
14 pages, 10 figures, Accepted for publication in MNRAS
17 pages, 12 figures. Comments welcome
4 pages, 2 figures, to appear in the Proceedings of NuDM2022
13 pages, 6 figures, in double column format
10+6 pages, 8 figures
12 pages, 5 figures
pdflatex, 12 pages, 3 figures
27 pages, 6 figures
19 pages, 5 figures
6 pages, 4 figures, 12th IFAC Symposium on Nonlinear Control Systems
16 pages (two columns), 5 figures
6 pages, 3 figures, Proceedings of the Gamma 2022 PoS(Gamma2022)196
15 pages, 11 figures. To appear in Communications in Physics (2023), a well-established physics journal of Vietnam. Comments are welcome
30 pages, 5 figures, 1 table
Thesis submitted to the Center for Theoretical Physics for the degree of Doctor of Philosophy in Physics