Accepted to PMLR/contributed oral at NeurIPS 2020 Pre-registration Workshop. Code at this https URL
We present an approach for maximizing a global utility function by learning how to allocate resources in an unsupervised way. We expect interactions between allocation targets to be important and therefore propose to learn the reward structure for near-optimal allocation policies with a GNN. By relaxing the resource constraint, we can employ gradient-based optimization in contrast to more standard evolutionary algorithms. Our algorithm is motivated by a problem in modern astronomy, where one needs to select-based on limited initial information-among $10^9$ galaxies those whose detailed measurement will lead to optimal inference of the composition of the universe. Our technique presents a way of flexibly learning an allocation strategy by only requiring forward simulators for the physics of interest and the measurement process. We anticipate that our technique will also find applications in a range of resource allocation problems.
26 pages, 15 figures
We present the Empirical Dust Attenuation (EDA) framework -- a flexible prescription for assigning realistic dust attenuation to simulated galaxies based on their physical properties. We use the EDA to forward model synthetic observations for three state-of-the-art large-scale cosmological hydrodynamical simulations: SIMBA, IllustrisTNG, and EAGLE. We then compare the optical and UV color-magnitude relations, $(g-r) - M_r$ and $(FUV-NUV)-M_r$, of the simulations to a $M_r < -20$ and UV complete SDSS galaxy sample using likelihood-free inference. Without dust, none of the simulations match observations, as expected. With the EDA, however, we can reproduce the observed color-magnitude with all three simulations. Furthermore, the attenuation curves predicted by our dust prescription are in good agreement with the observed attenuation-slope relations and attenuation curves of star-forming galaxies. However, the EDA does not predict star-forming galaxies with low $A_V$ since simulated star-forming galaxies are intrinsically much brighter than observations. Additionally, the EDA provides, for the first time, predictions on the attenuation curves of quiescent galaxies, which are challenging to measure observationally. Simulated quiescent galaxies require shallower attenuation curves with lower amplitude than star-forming galaxies. The EDA, combined with forward modeling, provides an effective approach for shedding light on dust in galaxies and probing hydrodynamical simulations. This work also illustrates a major limitation in comparing galaxy formation models: by adjusting dust attenuation, simulations that predict significantly different galaxy populations can reproduce the same UV and optical observations.
14 pages, 9 figures, 4 tables, Accepted to Astrophysical Journal
26 pages, 20 figures, submitted to MNRAS
23 pages, 7 figures, and 1 table in aastex631 format; accepted for publication in ApJ
Accepted for publication in MNRAS Letters
Main text 11 pages, 7 figures. Submitted to MNRAS, comments welcome
10 pages, 12 figures, 1 table. Accepted for publication in MNRAS
Accepted to MNRAS. 12 pages, 12 figures, 3 tables
21 pages, 14 figures
15 pages, 9 figures, 5 tables
17 pages, 4 figures, 1 table
Accepted for publication to the ApJ. The simulation snapshots used in this paper will be made publicly available in a user-friendly interface. The announcement of the data release will be posted on the AGORA Project webpage (www.agorasimulations.org). Early access to the data can be provided upon request to the authors, or to the project coordinator (sroca01@ucm.es, santacruzgalaxy@gmail.com)
17 pages, 13 figures
25 pages, 12 figures; accepted for publication in MNRAS
40 pages; accepted for publication on A&A;
36 pages, 7 figures, 1 table
21 pages in REVTeX (V.4), 3 figures
14 pages, 8 figures, submitted to MNRAS
10 pages, 2 figures, submitted to MNRAS
12 pages, 7 figures, has been submitted to ApJL
6 pages, 6 figures, accepted for publication in MNRAS Letters
20 pages, 14 figures, 3 tables, accepted for publication in The Astrophysical Journal
6 pages, 9 Figures, 2 Tables. Accepted to Applied Optics feature issue on Astrophotonics
40 pages, 24 figures, accepted by ApJ
14 pages plus 6 additional pages (table and plots), 9 figures, 4 tables. Accepted for publication in MNRAS
9 pages, 4 figures, accepted for publication in AN
19 pages, 11 figures
Accepted for publication in Monthly Notices of the Royal Astronomical Society
Accepted for publication in A&A (21 pages, 13 figures, 3 tables)
60 pages (article 18 pages), 73 figures To be published in A&A
15 pages, 18 figures
Accepted for publication in Journal of the Optical Society of America B (JOSA B)
23 pages, 14 figures, submitted to MNRAS
149 pages, 11 figures, Doctoral Thesis. arXiv admin note: text overlap with arXiv:1911.08313 by other authors
15 pages, 10 figures
7 pages, 7 figures
accepted for publication in Eur. Phys. J. C
11 pages, 6 figures
50 pages + appendices
19 pages, 7 figures
30 pages, 10 figures
46 pages, 16 figures
11 pages, 3 figures
93 pages, 18 figures, prepared as a status review of project report for Sci. China Phys. Mech. Astron