40 pages, 33 figures, submitted to ApJ
Deep optical and near-infrared imaging of the entire Galactic plane is essential for understanding our Galaxy's stars, gas, and dust. The second data release of the DECam Plane Survey (DECaPS2) extends the five-band optical and near-infrared survey of the southern Galactic plane to cover $6.5\%$ of the sky, |b| < 10{\deg} and 6{\deg} > l > -124{\deg}, complementary to coverage by Pan-STARRS1. Typical single-exposure effective depths, including crowding effects and other complications, are 23.5, 22.6, 22.1, 21.6, and 20.8 mag in $g$, $r$, $i$, $z$, and $Y$ bands, respectively, with around 1 arcsecond seeing. The survey comprises 3.32 billion objects built from 34 billion detections in 21.4 thousand exposures, totaling 260 hours open shutter time on the Dark Energy Camera (DECam) at Cerro Tololo. The data reduction pipeline features several improvements, including the addition of synthetic source injection tests to validate photometric solutions across the entire survey footprint. A convenient functional form for the detection bias in the faint limit was derived and leveraged to characterize the photometric pipeline performance. A new post-processing technique was applied to every detection to de-bias and improve uncertainty estimates of the flux in the presence of structured backgrounds, specifically targeting nebulosity. The images and source catalogs are publicly available at this http URL
submitted to ApJ
Mock member stars for 28 dwarf galaxies are constructed from the cosmological Auriga simulation, which reflect the true dynamical status of realistic tracers. The axis-symmetric Jeans Anisotropic Multi-Gaussian Expansion (JAM) modeling is applied to 6,000 star particles for each, to recover the underlying matter distribution. The stellar or dark matter component individually is poorly recovered, but the total profile is constrained reasonably. The mass within the half-mass radius of tracers is recovered the tightest, and the mass between 200 and 300~pc, $M(200-300\mathrm{pc})$, is constrained ensemble unbiasedly, with a scatter of 0.169~dex. Using a smaller sample of 2,000 particles and only line-of-sight velocities with errors, the scatter in $M(200-300\mathrm{pc})$ is increased by $\sim$40%. Quiescent Sagittarius dSph-like systems and star-forming systems with outflows show distinct features, with $M(200-300\mathrm{pc})$ mostly under-estimated for the former, and more likely over-estimated for the latter. The biases correlate with the dynamical status, which is a result of contractions due to tidal effects in quiescent systems or prominent galactic winds in star-forming systems, driving the systems out of equilibrium. After including Gaia DR3 proper motion errors, we find proper motions are as useful as line-of-sight velocities for nearby systems at $<\sim$60~kpc. The expected proper motion errors of the China Space Station Telescope is useful at $<\sim$20~kpc. Extrapolating the density profiles and the dynamical constraints down to scales below the resolution, we find the mass within 150~pc can be constrained ensemble unbiasedly, with a scatter of $\sim$0.3~dex. In the end, we show that the contraction of member stars in nearby systems is detectable with Gaia DR3 proper motion errors.
8 pages,2 figure
Accepted for publication in Astronomy & Astrophysics Letters, 8 pages, 6 figures
9 pages, 13 figures, accepted for publication in MNRAS
Accepted chapter of the Section on Galaxies for the Handbook of X-ray and Gamma-ray Astrophysics (Springer, eds. Banbi & Santangelo)
12 pages, 5 Figures, 3 Tables; Submitted to MNRAS; Comments welcome!
Community feedback requested for this solicited review, submitted to EPJ+ - 47 pages, 17 figures
31 pages, 11 figures; submitted to ApJ; comments very much welcome!
8 pages, 3 figures. Submitted to MNRAS. Comments welcome
12 pages, 9 figures, accepted for publication in MNRAS
Accepted to the Astrophysical Journal. Comments welcome
Submitted to the Open Journal of Astrophysics, 18 pages + appendices, 15 figures, comments welcome
Submitted to MNRAS
Accepted for publication in MNRAS Letter
Submitted to ApJ
10 pages, 8 figures. Accepted in MNRAS
21 pages, 9 figure, submitted to A&A
21 pages, 16 figures, RAA accepted
15 pages, 10 figures. Submitting to MNRAS
18 pages, 8 figures, accepted for publication in ApJ
Published in Bulletin of the Lebedev Physics Institute and translated from russian version of paper by Yandex translator with correction of scientific lexis. 5 page, 2 figure
published in Open Astronomy, 6 pages, 8 figures
Accepted for publication in MNRAS
A&A, submitted
15 pages, 12 figures, submitted to A&A
Submission to SciPost Phys. Proc
16 figures, 2 tables (full version available at CDS), 886 figures in figure set, accepted for publication on ApJs
30 pages, 26 figures
30 pages, 18 figures. Accepted for publication in Astronomy & Astrophysics (on 19/06/2022)
12 pages plus appendix, 8 figures. Accepted for publication in A&A
14 pages, 8 figures. Accepted for publication in ApJ
15pages, 4 figures
7 pages, 4 figures, submitted to A&A
44 pages, 55 figures, 2 tables. Invited review. Accepted for publication in 'Progress in Particle and Nuclear Physics'
10 pages, 6 figures, Accepted for publication in AJ
11 pages, 7 figures, accepted for publications on A&A
Accepted to ApJ. 28 pages, 15 figures, 4 tables (including 1 appendix). The code to reproduce the analysis is available on GitHub (see this https URL ) and the first author is happy to assist with any issues!
13 pages, 8 figures, submitted to MNRAS
36 pages, 26 figures, accepted for publication in A&A
10 pages, 6 figures
10 pages, 6 figures, submitted to ApJ
Accepted at the ICML 2022 Workshop on Machine Learning for Astrophysics. Data: www.github.com/mwalmsley/pytorch-galaxy-datasets. Please reach out to share your labelled data - all contributions will be credited in future work
v1: 9 pages, 3 figures
10+3 pages, 4 figures
25 pages, 7 tables, 9 figures