10 pages, 3 figures. Model publicly available at this https URL
Numerical-relativity surrogate models for both black-hole merger waveforms and remnants have emerged as important tools in gravitational-wave astronomy. While producing very accurate predictions, their applicability is limited to the region of the parameter space where numerical-relativity simulations are available and computationally feasible. Notably, this excludes extreme mass ratios. We present a machine-learning approach to extend the validity of existing and future numerical-relativity surrogate models toward the test-particle limit, targeting in particular the mass and spin of post-merger black-hole remnants. Our model is trained on both numerical-relativity simulations at comparable masses and analytical predictions at extreme mass ratios. We extend the gaussian-process-regression model NRSur7dq4Remnant, validate its performance via cross validation, and test its accuracy against additional numerical-relativity runs. Our fit, which we dub NRSur7dq4EmriRemnant, reaches an accuracy that is comparable to or higher than that of existing remnant models while providing robust predictions for arbitrary mass ratios.
47 pages, 19 figures, 1 table, to be submitted to JCAP
Upcoming imaging surveys will allow for high signal-to-noise measurements of galaxy clustering at small scales. In this work, we present the results of the LSST bias challenge, the goal of which is to compare the performance of different nonlinear galaxy bias models in the context of LSST Y10 data. Specifically, we compare two perturbative approaches, Lagrangian perturbation theory (LPT) and Eulerian PT (EPT) to two variants of Hybrid Effective Field Theory (HEFT), with our fiducial implementation of these models including terms up to second order in the bias expansion as well as nonlocal bias and deviations from Poissonian stochasticity. We consider different simulated galaxy samples and test the performance of the bias models in a tomographic joint analysis of LSST-Y10-like galaxy clustering, galaxy-galaxy-lensing and cosmic shear. We find both HEFT methods as well as LPT and EPT combined with non-perturbative predictions for the matter power spectrum to yield unbiased constraints on cosmological parameters up to at least a maximal scale of $k_{\mathrm{max}}=0.4 \; \mathrm{Mpc}^{-1}$ for all samples considered, even in the presence of assembly bias. While we find that we can reduce the complexity of the bias model for HEFT without compromising fit accuracy, this is not generally the case for the perturbative models. We find significant detections of non-Poissonian stochasticity in all cases considered, and our analysis shows evidence that small-scale galaxy clustering predominantly improves constraints on galaxy bias rather than cosmological parameters. These results therefore suggest that the systematic uncertainties associated with current nonlinear bias models are likely to be subdominant compared to other sources of error for tomographic analyses of upcoming photometric surveys, which bodes well for future galaxy clustering analyses using these high signal-to-noise data. [abridged]
14 pages, 10 figures, accepted for publication in ApJ
Galactic supernova remnants (SNRs) play an important role in our understanding of supernovae and their feedback on the interstellar environment. SNR G352.7$-$0.1 is special for its thermal composite morphology and double-ring structure. We have performed spectroscopic mapping in $^{12}$CO and $^{13}$CO $J=2$-1 lines toward G352.7$-$0.1 with the Atacama Pathfinder Experiment telescope. Broad $^{12}$CO lines are found in the northeastern ring at a local-standard-of-rest velocity range of $\sim-50$-$-30$ km s$^{-1}$, suggesting that the remnant is interacting with molecular clouds (MCs) at $\sim-51$ km s$^{-1}$. Thus, we adopt a distance of $\sim10.5$ kpc for this SNR. The momentum and kinetic energy of the shocked gas along the line of sight are estimated to be $\sim10^2{\rm M_{sun}}$ km s$^{-1}$ and $\sim10^{46}$ erg, respectively. We also find an expanding structure around the remnant, which is possibly related to the wind-blown bubble of the progenitor star. From the Fermi-LAT data in an energy range of 0.1-500 GeV, we find no gamma-ray counterparts of G352.7$-$0.1.
4 pages, 2 figures, accepted for publication in the proceedings of IAU Symposium 379: Dynamical Masses of Local Group Galaxies
17 pages, 11 figures, accepted in MNRAS
16 pages, 13 figures, 4 tables, accepted for publication in MNRAS
5 pages, 4 figures, submitted to A&A
5+3 pages, 3 figures
16 pages, 13 figures
5 pages, 3 figures. Calculations in the python notebooks: this https URL
6.5 pages, 4 figures, submitted to ApJL
Accepted for publication on Monthly Notices of the Royal Astronomical Society, 13 pages, 7 figures
Resubmitted after incorporating minor revision, Part of 3$^{rd}$ BINA conference proceedings
Roman Core Community Survey White Paper, 3 pages, 4 figures
29 pages, 2 figures, NANOGrav 15 centered paper, Comments are welcome
13 pages, 8 figures
Submitted to ApJ. Comments welcome
13 pages, 5 figures, accepted for publication in MNRAS Journal
Submitted to Astronomical Journal
14 pages, 8 figures, comments welcome :)
23 pages, 10 figures, 4 tables; published in the Special Issue of Galaxies "Theory and Observation of Active B-type Stars"
3 pages, 3 figures. To appear in the 64nd Bulletin of the Argentine Astronomical Society
21 pages. Submitted to AAS Journals
Accepted by ApJ
6 pages, 4 figures, submitted to MNRAS Letters
4 pages, 1 figure, accepted summary paper for URSI GASS 2023 J07
Proceedings paper to the GAMMA2022 conference held in Barcelona, Spain. To appear as PoS(Gamma2022)184
17 pages, 7 figures, 9 tables. Accepted for publication in Astronomy and Astrophysics
Ph.D. thesis, 150 pages. Ph.D. candidate: Stefano Menchiari, Supervisor: Elena Amato, Cosupervisor: Giovanni Morlino, Tutor: Riccardo Paoletti
accepted by MNRAS
14 pages, 12 figures, submitted to MNRAS
Accepted for publication on Astronomy & Astrophysics
22 pages, 22 figures, Accepted for publication in A&A
13 pages, 7 figures, accepted for publication in MNRAS
17 pages, 10 figures. Accepted for publication in ApJ
11 pages, 2 figures, 1 table
Accepted for publication in A&A (July 5, 2023)
11 pages,8 figures
20 pages
15 pages, 18 figures
20 pages, 6 figures, accepted for publication in MNRAS
11 pages, 8 figures, 3 tables. RAA published
10 pages, 7 figures, 2 tables, comments are welcome
Main paper 5 pages, 4 figures; Supplemental Material: 4 pages, 3 figures, 2 tables; to be submitted to PRL
Accepted for publication in A&A
25 pages, 12 figures, 4 tables, submitted to ApJ
19 paqges, 9 figures, and 4 tables
8 pages, 5 figures; Accepted for publication in MNRAS
10 pages, 5 figures
Invited chapter for the edited book Hubble Constant Tension (Eds. E. Di Valentino and D. Brout, Springer Singapore, expected in 2024)
17 pages, 15 figures, 1 table, 5 appendices
9 pages, 6 figures
13 pages, 5 figures