22 pages, 9 figures. Submitted to Astronomy & Astrophysics
The standard cosmological model is based on the simplifying assumptions of a spatially homogeneous and isotropic universe on large scales. An observational detection of their violation, at any redshift, would immediately indicate the breakdown of the aforementioned assumptions or presence of new physics. We quantify the ability of the Euclid mission, together with contemporary surveys, to improve the current sensitivity of null tests of the canonical cosmological constant and cold dark matter (LCDM) model, in the redshift range $0<z<1.8$. We consider both currently available data and simulated Euclid and external data products based on a LCDM fiducial model, an evolving dark energy model assuming the Chevallier-Polarski-Linder (CPL) parametrization or an inhomogeneous Lema\^{\i}tre-Tolman-Bondi model with a cosmological constant (LLTB), and carry out two separate, albeit complementary, analyses: a machine learning reconstruction based on genetic algorithms and a theory-agnostic parametric approach based on polynomial reconstruction and binning of the data, in order not to make assumptions about any particular model. We find that using the machine learning approach Euclid can (in combination with external probes) improve current constraints on null tests of the LCDM by approximately a factor of two to three, while in the case of the binning approach, Euclid can provide tighter constraints than the genetic algorithms by a further factor of two in the case of the LCDM mock, albeit in certain cases may be biased against or missing some features of models far from LCDM, as is the case with the CPL and LLTB mocks. Our analysis highlights the importance of synergies between Euclid and other surveys, which are crucial to provide tighter constraints over an extended redshift range, for a plethora of different consistency tests of some of the main assumptions of the current cosmological paradigm.
26 pages, 14 figures, accepted for publication in ApJ
Uncertainty in the wide-angle Point Spread Function (PSF) at large angles (tens of arcseconds and beyond) is one of the dominant sources of error in a number of important quantities in observational astronomy. Examples include the stellar mass and shape of galactic halos and the maximum extent of starlight in the disks of nearby galaxies. However, modeling the wide-angle PSF has long been a challenge in astronomical imaging. In this paper, we present a self-consistent method to model the wide-angle PSF in images. Scattered light from multiple bright stars is fitted simultaneously with a background model to characterize the extended wing of the PSF using a Bayesian framework operating on pixel-by-pixel level. The method is demonstrated using our software elderflower and is applied to data from the Dragonfly Telephoto Array to model its PSF out to 20-25 arcminutes. We compare the wide-angle PSF of Dragonfly to that of a number of other telescopes, including the SDSS PSF, and show that on scales of arcminutes the scattered light in the Dragonfly PSF is markedly lower than that of other wide-field imaging telescopes. The energy in the wings of the Dragonfly point-spread function is sufficiently low that optical cleanliness plays an important role in defining the PSF. This component of the PSF can be modelled accurately, highlighting the power of our self-contained approach.
9 pages, 14 figures
We describe a modified version of the NBODY6 code for simulating star clusters which greatly improves computational efficiency while sacrificing little in the way of accuracy. The distant force calculator is replaced by a GPU-enabled Barnes-Hut code, and integration is done with a standard leap frog scheme. Short-range forces continue to use the CPU-based fourth-order Hermite predictor-corrector scheme of NBODY6. Our code outperforms NBODY6 for systems with more than $3 \times 10^5$ particles and runs more than a factor 2 faster for systems of $10^6$ particles with similar energy conservation. Our code should be useful for simulating realistic dense stellar clusters, such as globular clusters or galactic nuclei.
Accepted in MNRAS
To be published in Proc. conf. VAK-2021, August 23-28, 2021, Sternberg Astronomical Institute, Moscow
12 pages, 4 figures. Accepted for publication in ApJL. Movies and interactive figures available at this https URL
Supplemental materials available at this https URL
23 pages, 19 figures. Accepted for publication in the Astrophysical Journal
Invited article for the Special Issue "Gamma-Ray Burst Science in 2030", published in Galaxies
17 pages, 7 figures. Accepted for publication in MNRAS (October 15, 2021)
18 pages, 9 main + 5 Appendix figures, submitted to MNRAS. Comments are welcome!
submitted to MNRAS
ApJ Accepted
21 pages, 6 figures, submitted to ApJ
9 pages, 1 figure, 1 table
9 pages, 1 table, 8 figures
29 pages, 19 figures. Published in MNRAS
30 pages, 10 figures, 6 tables. Published in MNRAS. Data available at this https URL and this https URL (DOI: 10.13139/OLCF/1811689)
22 pages, 12 figures, appendices, accepted in MNRAS
17 pages, 12 figures, 2 table. Submitted to MNRAS
20 pages, 16 figures, submitted to MNRAS, comments welcome
16 pages, 11 figures, accepted by MNRAS
5 pages, 1 Table, 1 figure, accepted for publication in MNRAS letters
15 pages, 7 figures, accepted for publication in A&A
26 pages, 18 figures
MNRAS submitted
10 pages, 2 figures, accepted for publication in Galaxies
15 pages, 9 Postscript figures, accepted for publication in The Astrophysical Journal Supplement Series
9 pages, 8 figures
Accepted for the publication in Research in Astronomy and Astrophysics (RAA). The python-based package will be available soon
15 pages, 22 figures, 13 tables
28 pages, 40 figures, submitted to Journal of Physical Studies
16 pages, 16 figures, Accepted to MNRAS
Accepted for publication in Astronomy & Astrophysics
Accepted for publication in ApJ
10 pages, 4 figures
25 pages main text, 14 pages appendix, 0 figure
To be submitted to PRD, 9 pages, 4 figures, 1 table
13 pages, accepted in Astronomy and Astrophysics
18 pages, 13 figures, 2 tables, to be submitted
Accepted for publication in A&A. Pytmosph3R is available at this http URL
12 pages, 3 figures, review for Universe journal
accepted to ApJ
11 pages, 5 figures
Accepted in A&A
18 pages, 7 figures, 2 tables, accepted for publication in The Astronomical Journal
Submitted to MNRAS (28 pages, 19 figures). Comments are welcome
Accepted for publication in A&A
Submitted to A&A, comments welcome
17 pages, 9 figures
20 pages, 30 figures, accepted by Monthly Notices of the Royal Astronomical Society, unedited version
Astrophysical Bulletin, 76, 229-247, 2021; 16 pages, 2 figures
To appear in Astronomische Nachrichten, proceedings paper from "6th Workshop on Compact Steep Spectrum and GHz-Peaked Spectrum Radio Sources"
19 pages, 14 figures, Accepted for publication in MNRAS
16 pages, 2 figures; submitted as proceeding to the Sixteenth Marcel Grossmann Meeting
9 pages, 10 figures, accepted for publication in MNRAS
Accepted for publication in A&A
10 pages, 4 figures, 15 graphs
17 pages, no figures
4 pages, 4 figures. Contribution to proceedings of The European Physical Society Conference on High Energy Physics (EPS-HEP2021)
51 pages, 17 figures. Comments welcome. Prepared for submission to JCAP
13 pp, 12 figs, 1 table; to appear in Physics of the Dark Universe
25 pages, 9 figures, 1 table. SELCIE code available at this https URL