11 pages, 5 figures; condensed version accepted at the Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021) as "Equivariant and Modular DeepSets with Applications in Cluster Cosmology"
Theoretical uncertainty limits our ability to extract cosmological information from baryonic fields such as the thermal Sunyaev-Zel'dovich (tSZ) effect. Being sourced by the electron pressure field, the tSZ effect depends on baryonic physics that is usually modeled by expensive hydrodynamic simulations. We train neural networks on the IllustrisTNG-300 cosmological simulation to predict the continuous electron pressure field in galaxy clusters from gravity-only simulations. Modeling clusters is challenging for neural networks as most of the gas pressure is concentrated in a handful of voxels and even the largest hydrodynamical simulations contain only a few hundred clusters that can be used for training. Instead of conventional convolutional neural net (CNN) architectures, we choose to employ a rotationally equivariant DeepSets architecture to operate directly on the set of dark matter particles. We argue that set-based architectures provide distinct advantages over CNNs. For example, we can enforce exact rotational and permutation equivariance, incorporate existing knowledge on the tSZ field, and work with sparse fields as are standard in cosmology. We compose our architecture with separate, physically meaningful modules, making it amenable to interpretation. For example, we can separately study the influence of local and cluster-scale environment, determine that cluster triaxiality has negligible impact, and train a module that corrects for mis-centering. Our model improves by 70 % on analytic profiles fit to the same simulation data. We argue that the electron pressure field, viewed as a function of a gravity-only simulation, has inherent stochasticity, and model this property through a conditional-VAE extension to the network. This modification yields further improvement by 7 %, it is limited by our small training set however. (abridged)
26 pages, 12 figures. Submitted to MNRAS. Comments welcome
Increasingly, uncertainties in predictions from galaxy formation simulations (at sub-Milky Way masses) are dominated by uncertainties in stellar evolution inputs. In this paper, we present the full set of updates from the FIRE-2 version of the Feedback In Realistic Environments (FIRE) project code, to the next version, FIRE-3. While the transition from FIRE-1 to FIRE-2 focused on improving numerical methods, here we update the stellar evolution tracks used to determine stellar feedback inputs, e.g. stellar mass-loss (O/B and AGB), spectra (luminosities and ionization rates), and supernova rates (core-collapse and Ia), as well as detailed mass-dependent yields. We also update the low-temperature cooling and chemistry, to enable improved accuracy at $T \lesssim 10^{4}\,$K and densities $n\gg 1\,{\rm cm^{-3}}$, and the meta-galactic ionizing background. All of these synthesize newer empirical constraints on these quantities and updated stellar evolution and yield models from a number of groups, addressing different aspects of stellar evolution. To make the updated models as accessible as possible, we provide fitting functions for all of the relevant updated tracks, yields, etc, in a form specifically designed so they can be directly 'plugged in' to existing galaxy formation simulations. We also summarize the default FIRE-3 implementations of 'optional' physics, including spectrally-resolved cosmic rays and supermassive black hole growth and feedback.
Submitted to ApJ. Comments welcome. 54 pages with the results starting on page 17 and conclusions on page 27
We present the final results of the Exploration of Local VolumE Satellites (ELVES) Survey, a survey of the dwarf satellites of a nearly volume-limited sample of Milky Way (MW)-like hosts in the Local Volume. Hosts are selected simply via a cut in luminosity ($M_{K_s}<-22.1$ mag) and distance ($D<12$ Mpc). We have cataloged the satellites of 25 of the 31 such hosts, with another five taken from the literature. All hosts are surveyed out to at least 150 projected kpc ($\sim R_\mathrm{vir}/2$) with the majority surveyed to 300 kpc ($\sim R_\mathrm{vir}$). Satellites are detected using a consistent semi-automated algorithm specialized for low surface brightness dwarfs. As shown through extensive tests with injected galaxies, the catalogs are complete to $M_V\sim-9$ mag and $\mu_{0,V}\sim26.5$ mag arcsec$^{-2}$. Candidates are confirmed to be real satellites through distance measurements including redshift, tip of the red giant branch, and surface brightness fluctuations. Across all 30 surveyed hosts, there are 338 confirmed satellites with a further 105 candidates awaiting distance measurement. For the vast majority of these, we provide consistent multi-band S\'{e}rsic photometry. We show that satellite abundance correlates with host mass, with the MW being quite typical amongst comparable systems, and that satellite quenched fraction rises steeply with decreasing satellite mass, mirroring the quenched fraction for the MW and M31. The ELVES survey represents a massive increase in the statistics of surveyed systems with known completeness, and the provided catalogs are a unique dataset to explore various aspects of small-scale structure and dwarf galaxy evolution.
20 pages, 17 figures, submitted to MNRAS
Globular clusters (GCs) are old massive star clusters that serve as "fossils" of galaxy formation. The advent of Gaia observatory has enabled kinematics studies of the Galactic GCs with great detail and revolutionized our understanding of the connections between GC properties and galaxy assembly. However, lack of kinematic measurements of extragalactic GCs limits the sample size of GC systems that we can fully study observationally. In this work, we present a model for GC formation and evolution, which includes positional and kinematic information of individual GCs by assigning them to particles in the Illustris TNG50-1 simulation based on the age and location. The model predictions are consistent with many observed properties of GC systems, including the distributions of position, systemic velocity, velocity dispersion, anisotropy parameter, orbital actions, and metallicities. We also analyze the properties of GCs from different origins. In the outer galaxy, ex-situ clusters are more dominant than the clusters formed in-situ. This leads to the GC metallicities decreasing outwards due to the increasing abundance of accreted, metal-poor clusters. We also find the ex-situ GCs to have greater velocity dispersions and orbital actions, in agreement with their accretion origin.
10 pages, 5 figures
25 pages, 17 figures, submitted to MNRAS and under revision
30 pages, 17 figures, 11 tables, accepted for publication in ApJS; part of BASS DR2 special issue
9 pages, 15 figures. Accepted for publication in MNRAS
11 pages, 10 figures, acepted for publication by A&A
31 pages, 15 figures, 2 tables, accepted for publication in ApJ
14 pages, 6 figures, 12 tables, submitted to MNRAS
20 pages, 10 figures, submitted to ApJ
Submitted to ApJ. 15 pages, 10 figures
21 Pages, 11 Figures, 3 Tables
5 pages. 4 figures. to appear in Radio Science
25 pages, 11 figures, accepted for publication in ApJ
19 pages, 28 figures, 2 tables, Accepted for publication in The Journal of Astronomical Instrumentation (JAI)
12 pages, 4 figures, submitted to the Astronomical Journal and reviewed favorably
17 pages, 6 figures, 3 tables. Submitted to The Planetary Science Journal (2/28/22)
11 pages,9 figures, Accepted by A&A
10 Pages, 9 figures, Accepted by MNRAS
16 pages, 5 figures, accepted for publication by the MNRAS
18 pages, 9 figures
Accepted for publication in ApJ
31 pages, 27 figures, 12 tables, accepted for publication in A&A
accepted by A&A
11 pages, 5 figs, accepted in MNRAS
Accepted for publication in A&A; 15 pages (main text incl. 13 figures and 1 table) + appendix; comments are welcome
10 pages, 6 figures, submitted to MNRAS
28 pages, 14 figures. Accepted in Experimental Astronomy (2022)
20 pages, 16 figures, 2 tables (submitted to A&A)
23 pages in LaTeX2e, 20 eps figures, 1 table
12 pages, 1 figure, 1 table, accepted for Frontiers in Astronomy and Space Sciences, section Astrochemistry
16 pages, 14 figures
Submitted to MNRAS
15 pages, 13 figures, accepted for publication in MNRAS
39 pages, 22 figures. Accepted by ApJ
Accepted to publish in Physical Review D
20 pages, 9 figures, 5 tables, accepted for publication by the A&A
3 pages, 5 figures. Accepted to be published in Bolet\'in de la Asociaci\'on Argentina de Astronom\'ia
16 pages, 10 figures
14 pages, 22 figures, accepted for publication in Astronomy & Astrophysics
8 pages, 10 figs., accepted in MNRAS
16 pages, 5 figures
5 pages, 3 figures
arXiv admin note: text overlap with arXiv:2110.11056 , arXiv:2004.09566
32 pager, 15 figures accepted in Astrophysics and Space Science
38+20 pages, 22 figures
7 pages, 5 figures
27 pages, 4 figures