7+9 pages, 3+4 figures
The Gaia satellite will observe the positions and velocities of over a billion Milky Way stars. In the early data releases, the majority of observed stars do not have complete 6D phase-space information. In this Letter, we demonstrate the ability to infer the missing line-of-sight velocities until more spectroscopic observations become available. We utilize a novel neural network architecture that, after being trained on a subset of data with complete phase-space information, takes in a star's 5D astrometry (angular coordinates, proper motions, and parallax) and outputs a predicted line-of-sight velocity with an associated uncertainty. Working with a mock Gaia catalog, we show that the network can successfully recover the distributions and correlations of each velocity component for stars that fall within $\sim 5$ kpc of the Sun. We also demonstrate that the network can accurately reconstruct the velocity distribution of a kinematic substructure in the stellar halo that is spatially uniform, even when it comprises a small fraction of the total star count.
11 pages, 13 figures
We perform an analysis in harmonic space of the Dark Energy Survey Year 1 Data (DES-Y1) galaxy clustering data using products obtained for the real-space analysis. We test our pipeline with a suite of lognormal simulations, which are used to validate scale cuts in harmonic space as well as to provide a covariance matrix that takes into account the DES-Y1 mask. We then apply this pipeline to DES-Y1 data taking into account survey property maps derived for the real-space analysis. We compare with real-space DES-Y1 results obtained from a similar pipeline. We show that the harmonic space analysis we develop yields results that are compatible with the real-space analysis for the bias parameters. This verification paves the way to performing a harmonic space analysis for the upcoming DES-Y3 data.
Accepted for publication in MNRAS
Classifying catalog objects as stars, galaxies, or AGN is a crucial part of any statistical study of galaxies. We describe our pipeline for binary (star/galaxy) and multiclass (star/galaxy/Type I AGN/Type II AGN) classification developed for the very deep CLAUDS+HSC-SSP $u^*grizy$ dataset. Our method uses the XGBoost implementation of Gradient Boosted Trees (GBT) to train ensembles of models which take photometry, colours, maximum surface brightnesses, and effective radii from all available bands as input, and output the probability that an object belongs to each of the classes under consideration. At $i_{AB}<25$ our binary star/galaxy model has AUC=0.9974 and at the threshold that maximizes our sample's weighted F1 score, selects a sample of galaxies with 99.7% purity and 99.8% completeness. We test the model's ability to generalize to objects fainter than those seen during training and find that extrapolation of ~1-2 magnitudes is reasonable for most applications provided that the galaxies in the training sample are representative of the range of redshifts and colours of the galaxies in the target sample. We also perform an exploratory analysis of the method's ability to identify AGN using a small x-ray selected sample and find that it holds promise for classifying type I AGN, although it performs less well for type II AGN. Our results demonstrate that GBTs provide a flexible, robust and efficient method for performing classification of catalog objects in large astronomical imaging surveys.
Accepted for publication in ApJ, 38 pages, 23 Figures
To determine the origin of the spiral structure observed in the dust continuum emission of Elias 2-27 we analyze multi-wavelength continuum ALMA data with a resolution of $\sim$0.2 arcsec ($\sim$23au) at 0.89, 1.3 and 3.3mm. We also study the kinematics of the disk with $^{13}$CO and C$^{18}$O ALMA observations in the $J=$3-2 transition. The spiral arm morphology is recovered at all wavelengths in the dust continuum observations, where we measure contrast and spectral index variations along the spiral arms and detect subtle dust-trapping signatures. We determine that the emission from the midplane is cold and interpret the optical depth results as signatures of a higher disk mass than previous constraints. From the gas data, we search for deviations from Keplerian motion and trace the morphology of the emitting surfaces and the velocity profiles. We find an azimuthally varying emission layer height in the system, large-scale emission surrounding the disk, and strong perturbations in the channel maps, co-located with the spirals. Additionally, we develop multigrain dust and gas SPH simulations of a gravitationally unstable disk and compare them to the observations. Given the large scale emission and highly perturbed gas structure, together with the comparison of continuum observations to theoretical predictions, we propose infall-triggered gravitational instabilities as origin for the observed spiral structure.
12 pages, 10 figures. Comments welcome :)
19 pages, 14 figures, 1 video, submitted to ApJ
6 pages, 5 figures, accepted for publication in Applied Optics
submitted to A&A
14 pages, 19 figures, Accepted for publication in the Monthly Notices of the Royal Astronomical Society
8 pages
8 pages, 7 figures, 1 online table
8 pages, 7 figures
7 pages, 7 figures, to be published in Astronomy & Astrophysics
23 pages, 16 figures, accepted by MNRAS
Accepted for Publication in The Astrophysical Journal (in press)
Submitted to ApJ
11 pages, 8 figures, submitted to MNRAS
62 pages, 24 figures
Published in The Innovation; Animations are available in the Journal's Website
48 pages, 15 figures, accepted for publication in New Astronomy
19 pages, 12 figures, 2 tables, published in MNRAS
21 pages, 4 figures, 2 tables, accepted in Frontiers March 24th 2021
Will be submitted in two days to allow comments
20 pages, 15 figures
12 pages, 18 figures, accepted for publication in PASJ
4 pages, 1 figure, ADASS 2019 conference proceeding (ASP Conference Series)
Accepted for publication in The Astrophysical Journal. (Received January 20, 2021; Accepted March 25, 2021)
16 pages, 14 figures. Accepted for publication in MNRAS
Accepted for publication in MNRAS; 14 pages, 10 figures and 2 tables
28 pages, 9 figures, accepted in PASP
Accepted in ApJ, 57 pages, 38 figures
To be published in Astronomy & Astrophysics. 10 pages, 8 figures
31 pages, 5 figures
Invited review published in Physical Review Fluids
13 pages, 5 figures, accepted for publication in PRD
21 pages, 6 figures
30 pages, 9 figures