19 pages, 12 figures, submitted to MNRAS November 16 2020
We present the relation between the star formation rate surface density, $\Sigma_{\rm SFR}$, and the hydrostatic mid-plane pressure, P$_{\rm h}$, for 4260 star-forming regions of kpc size located in 96 galaxies included in the EDGE-CALIFA survey covering a wide range of stellar masses and morphologies. We find that these two parameters are tightly correlated, exhibiting smaller scatter and strong correlation in comparison to other star-forming scaling relations. A power-law, with a slightly sub-linear index, is a good representation of this relation. Locally, the residuals of this correlation show a significant anti-correlation with both the stellar age and metallicity whereas the total stellar mass may also play a secondary role in shaping the $\Sigma_{\rm SFR}$ - P$_{\rm h}$ relation. For our sample of active star-forming regions (i.e., regions with large values of H$\alpha$ equivalent width), we find that the effective feedback momentum per unit stellar mass ($p_\ast/m_\ast$),measured from the P$_{\rm h}$ / $\Sigma_{\rm SFR}$ ratio increases with P$_{\rm h}$. The median value of this ratio for all the sampled regions is larger than the expected momentum just from supernovae explosions. Morphology of the galaxies, including bars, does not seem to have a significant impact in the $\Sigma_{\rm SFR}$ - P$_{\rm h}$ relation. Our analysis suggests that self regulation of the $\Sigma_{\rm SFR}$ at kpc scales comes mainly from momentum injection to the interstellar medium from supernovae explosions. However, other mechanism in disk galaxies may also play a significant role in shaping the $\Sigma_{\rm SFR}$ at local scales. Our results also suggest that P$_{\rm h}$ can be considered as the main parameter that modulates star formation at kpc scales, rather than individual components of the baryonic mass.
20 pages, 3 figures; 3 tables. To obtain data, visit the DESC Data Portal at this https URL
In preparation for cosmological analyses of the Vera C. Rubin Observatory Legacy Survey of Space and Time (LSST), the LSST Dark Energy Science Collaboration (LSST DESC) has created a 300 deg$^2$ simulated survey as part of an effort called Data Challenge 2 (DC2). The DC2 simulated sky survey, in six optical bands with observations following a reference LSST observing cadence, was processed with the LSST Science Pipelines (19.0.0). In this Note, we describe the public data release of the resulting object catalogs for the coadded images of five years of simulated observations along with associated truth catalogs. We include a brief description of the major features of the available data sets. To enable convenient access to the data products, we have developed a web portal connected to Globus data services. We describe how to access the data and provide example Jupyter Notebooks in Python to aid first interactions with the data. We welcome feedback and questions about the data release via a GitHub repository.
20 pages, 16 figures
We perform a cross validation of the cluster catalog selected by the red-sequence Matched-filter Probabilistic Percolation algorithm (redMaPPer) in Dark Energy Survey year 1 (DES-Y1) data by matching it with the Sunyaev-Zel'dovich effect (SZE) selected cluster catalog from the South Pole Telescope SPT-SZ survey. Using the mass information from the SZE signal, we calibrate the richness--mass relation above a measured richness $\hat\lambda>40$ using a Bayesian cluster population model. We find a mass trend $\lambda\propto M^{B}$ consistent with a linear relation ($B\sim1$), no significant redshift evolution and an intrinsic scatter in richness of $\sigma_{\lambda} = 0.22\pm0.06$. By considering two error models, we explore the impact of projection effects on the richness--mass modelling, confirming that such effects are not detectable at the current level of systematic uncertainties. At low richness SPT-SZ confirms fewer redMaPPer clusters than expected. We interpret this richness dependent deficit in confirmed systems as due to the increased presence at low richness of low mass objects not correctly accounted for by our richness-mass scatter model, which we call contaminants. At a richness $\hat \lambda=40$, this population makes up $>$12$\%$ (97.5 percentile) of the total population. Extrapolating this to a measured richness $\hat \lambda=20$ yields $>$22$\%$ (97.5 percentile). With these contamination fractions, the predicted redMaPPer number counts in different plausible cosmologies are compatible with the measured abundance. The mean mass from stacked weak lensing (WL) measurements suggests that these low mass contaminants are galaxy groups with masses $\sim3$-$5\times 10^{13} $ M$_\odot$ which are beyond the sensitivity of current SZE and X-ray surveys but a natural target for SPT-3G and eROSITA.
36 pages, 27 figures. Proceedings of SPIE "Astronomical Telescopes and Instrumentation" 2020
The Exoplanet Imaging Data Challenge is a community-wide effort meant to offer a platform for a fair and common comparison of image processing methods designed for exoplanet direct detection. For this purpose, it gathers on a dedicated repository (Zenodo), data from several high-contrast ground-based instruments worldwide in which we injected synthetic planetary signals. The data challenge is hosted on the CodaLab competition platform, where participants can upload their results. The specifications of the data challenge are published on our website. The first phase, launched on the 1st of September 2019 and closed on the 1st of October 2020, consisted in detecting point sources in two types of common data-set in the field of high-contrast imaging: data taken in pupil-tracking mode at one wavelength (subchallenge 1, also referred to as ADI) and multispectral data taken in pupil-tracking mode (subchallenge 2, also referred to as ADI mSDI). In this paper, we describe the approach, organisational lessons-learnt and current limitations of the data challenge, as well as preliminary results of the participants submissions for this first phase. In the future, we plan to provide permanent access to the standard library of data sets and metrics, in order to guide the validation and support the publications of innovative image processing algorithms dedicated to high-contrast imaging of planetary systems.
Accepted for publication in MNRAS
Submitted to A&A, 13 pages, 11 figures, comments are welcome
26 pages + 4 pages for appendix. Submitted to ApJ. Comments welcome
18 Pages, 11 figures, 2 tabes, submitted to MNRAS
accepted for publication in ApJ
20 pages, 11 figures and 5 tables. The main results are shown in figs 4, 5, 6 and 10. Data such as processed lightcurves etc to reproduce figures will be made publicly available upon publication
21 pages and 15 figures. Submitted to PRD. Comments are welcome
16 pages, 14 figures, Accepted for publication in MNRAS
32 pages, 15 figures, 5 tables. Submitted to AAS Journals
Accepted to MNRAS. Catalogues, code, and atlas available at this http URL
Accepted for publication in A&A
9 pages, 11 figures. MNRAS accepted 11/01/21
Conference Presented: 3rd IAA/AAS SciTech Forum 2020 Cyber Edition held virtually at RUDN University, Moscow, Russia from 8-10 December 2020. Accepted by International Program Committee for publication in the Volume of Advances of the Astronautical Sciences. (Manuscript Number: IAA-AAS-SciTech2020-018). Paper holds 12 Pages, 07 Figures and 44 References
Conference Presented: 3rd IAA/AAS SciTech Forum 2020 Cyber Edition held virtually at RUDN University, Moscow, Russia from 8-10 December 2020. Accepted by International Program Committee for publication in the Volume of Advances of the Astronautical Sciences. (Manuscript Number: IAA-AAS-SciTech2020-019). Paper holds 10 Pages, 05 Figures and 40 References
Accepted for publication in The Astrophysical Journal
17 pages, 11 figures. Accepted for publication at MNRAS. HARPS RVs available at this https URL
20 pages, 13 figures, accepted for publication in MNRAS. Code available at this https URL
20 pages, 14 figures, accepted for publication in MNRAS. Code available at this https URL
18 pages, 11 figures
Submitted to PRD
13 pages, 7 figures, submitted to ApJ
12 pages, 1 figure, INAF technical report
13 pages, 7 figures
40 pages, 13 figures, accepted for publication in Proceedings of the Royal Society A
30 pages, 14 figures
29 pages, 12 figures, invited review on SCPMA, peer-reviewed version
16 pages, 16 figures, revised based on referees' comments, resubmitted to ApJ
Accepted for publication in A&A
7 pages, 7 figures. Accepted for publication in MNRAS. The definitive version will be available at this https URL
submitted to MNRAS, 27 pages, 7 figures
13 pages, accepted for publication in Astronomy & Astrophysics
Accepted for publication in ApJ
Peer-reviewed version accepted for publication in Space Science Reviews
Accepted for publication in Space Science Reviews. The first part of the review will appear here in the following days. This work is supported by the International Space Science Institute (ISSI) in the framework of International Team 405 entitled "Current Sheets, Turbulence, Structures and Particle Acceleration in the Heliosphere"
Accepted in ApJ; 13 pages,7 figures
Submitted to ApJ, 13 pages, 3 figures
3 pages, conference poster to Cool Stars 20.5
5 pages, revtex
Accepted for publication by A&A
25 pages, 31 figures, 4 tables. Submitted to IEEE Transactions on Antennas and Propagation
Preprint version of Nature paper
21 pages, 13 figures, 2 tables, accepted for publication in MNRAS
16, 13 figures, 2 tables
Will be sumbitted in two days to allow comments
11 pages, 13 figures. Submitted to MNRAS
Accepted for publication in ApJL
Accepted for publication in A&A Letters
4 pages, 1 table. Submitted to RNAAS
Published as a chapter in "Machine Learning in Chemistry: The Impact of Artificial Intelligence"
This article was submitted to A&A Letters on 23/12/2020 and accepted for publication on 10/01/2021
16 pages, 6 figures, SPIE Proceeding no. 11443-282
8 pages, 3 figures and 1 table
Accepted for publication in Springer Space Science Reviews. Chapter in ISSI review, "The Tidal Disruption of Stars by Massive Black Holes," vol. 79
18 LaTeX Pages, 21 Figures
8 pages, 2 figures, accepted by MNRAS
15 pages, 13 figures
10 pages, comments are welcome
8 pages, 3 figures, 2 tables. Submitted to ApJ Letters
20 pages, 7 figures. Article based on thesis published as arXiv:2002.01649 . Submitted to ApJ
16 p., 4 Figs. arXiv admin note: substantial text overlap with arXiv:2008.13184 , arXiv:2006.12033
26 pages, 10 figures, 10 tables
10 pages, 7 figures, revtex4, to appear in Physics Letters B
23 pages, 7 figures
17 pages, 4 figures, 2 Tables. Paper accepted on Physical Review D
19 pages, 4 figures, 1 table
18 pages + appendices, 5 figures
36 pages with 26 figures