20 pages, 11 figures, 5 tables, submitted to AAS Journals
As an all-sky survey, NASA's $TESS$ mission is able to detect the brightest and rarest types of transiting planetary systems, including young planets that enable study of the evolutionary processes that occur within the first billion years. Here, we report the discovery of a young, multi-planet system orbiting the bright K4.5V star, TOI-712 ($V = 10.838$, $M_\star = 0.733_{-0.025}^{+0.026} M_\odot$, $R_\star = 0.674\pm0.016 R_\odot$, $T_{\rm eff} = 4622_{-60}^{+61}$ K). From the $TESS$ light curve, we measure a rotation period of 12.48 days, and derive an age between about $500$ Myr and 1.1 Gyr. The photometric observations reveal three transiting mini-Neptunes ($R_b = 2.049^{+0.12}_{-0.080} R_\oplus$, $R_c = 2.701^{+0.092}_{-0.082} R_\oplus$, $R_d = 2.474^{+0.090}_{-0.082} R_\oplus $), with orbital periods of $P_b = 9.531$ days, $P_c = 51.699$ days, and $P_d = 84.839$ days. After modeling the three-planet system, an additional Earth-sized candidate is identified, TOI-712.05 ($P = 4.32$ days, $R_P = 0.81 \pm 0.11 R_\oplus$). We calculate that the habitable zone falls between 0.339 and 0.844 au (82.7 and 325.3 days), placing TOI-712 d near its inner edge. Among planetary systems harboring temperate planets, TOI-712 ($T = 9.9$) stands out as a relatively young star bright enough to motivate further characterization.
44 pages, 30 figures, 6 tables, to be submitted to Phys. Rev. D
We present high-fidelity cosmology results from a blinded joint analysis of galaxy-galaxy weak lensing ($\Delta\!\Sigma$) and projected galaxy clustering ($w_{\rm p}$) measured from the Hyper Suprime-Cam Year-1 (HSC-Y1) data and spectroscopic Sloan Digital Sky Survey (SDSS) galaxy catalogs in the redshift range $0.15<z<0.7$. We define luminosity-limited samples of SDSS galaxies to serve as the tracers of $w_{\rm p}$ in three spectroscopic redshift bins, and as the lens samples for $\Delta\!\Sigma$. For the $\Delta\!\Sigma$ measurements, we select a single sample of 4 million source galaxies over 140 deg$^2$ from HSC-Y1 with photometric redshifts (photo-$z$) greater than 0.75, enabling a better handle of photo-$z$ errors by comparing the $\Delta\!\Sigma$ amplitudes for the three lens redshift bins. For cosmological parameter inference, we use an input galaxy-halo connection model built on the {\tt Dark Emulator} package with a halo occupation distribution that includes nuisance parameters to marginalize over modeling uncertainties. We model the $\Delta\!\Sigma$ and $w_{\rm p}$ measurements on scales from $R\simeq 3$ and $2\,h^{-1}{\rm Mpc}$, respectively, up to $30\,h^{-1}{\rm Mpc}$ assuming a flat $\Lambda$CDM cosmology. With various tests using mock catalogs described in Miyatake et al. (2021), we show that any bias in the clustering amplitude $S_8\equiv \sigma_8(\Omega_{\rm m}/0.3)^{0.5}$ due to uncertainties in the galaxy-halo connection is less than $\sim50$\% of the statistical uncertainty of $S_8$, {\it unless} the assembly bias effect is unexpectedly large. Our best-fit models have $S_8=0.795^{+0.049}_{-0.042}$ (mode and 68\% credible interval) for the flat $\Lambda$CDM model; we find tighter constraints on the quantity $S_8(\alpha=0.17)\equiv\sigma_8(\Omega_{\rm m}/0.3)^{0.17} =0.745^{+0.039}_{-0.031}$. (abriged)
Submitted to AAS journals. 33 pages, 10 figures
Observing in six frequency bands from 27 to 280 GHz over a large sky area, the Simons Observatory (SO) is poised to address many questions in Galactic astrophysics in addition to its principal cosmological goals. In this work, we provide quantitative forecasts on astrophysical parameters of interest for a range of Galactic science cases. We find that SO can: constrain the frequency spectrum of polarized dust emission at a level of $\Delta\beta_d \lesssim 0.01$ and thus test models of dust composition that predict that $\beta_d$ in polarization differs from that measured in total intensity; measure the correlation coefficient between polarized dust and synchrotron emission with a factor of two greater precision than current constraints; exclude the non-existence of exo-Oort clouds at roughly 2.9$\sigma$ if the true fraction is similar to the detection rate of giant planets; map more than 850 molecular clouds with at least 50 independent polarization measurements at 1 pc resolution; detect or place upper limits on the polarization fractions of CO(2-1) emission and anomalous microwave emission at the 0.1% level in select regions; and measure the correlation coefficient between optical starlight polarization and microwave polarized dust emission in $1^\circ$ patches for all lines of sight with $N_{\rm H} \gtrsim 2\times10^{20}$ cm$^{-2}$. The goals and forecasts outlined here provide a roadmap for other microwave polarization experiments to expand their scientific scope via Milky Way astrophysics.
9 pages, 3 figures and 1 table
We train convolutional neural networks to correct the output of fast and approximate N-body simulations at the field level. Our model, Neural Enhanced COLA --NECOLA--, takes as input a snapshot generated by the computationally efficient COLA code and corrects the positions of the cold dark matter particles to match the results of full N-body Quijote simulations. We quantify the accuracy of the network using several summary statistics, and find that NECOLA can reproduce the results of the full N-body simulations with sub-percent accuracy down to $k\simeq1~h{\rm Mpc}^{-1}$. Furthermore, the model, that was trained on simulations with a fixed value of the cosmological parameters, is also able to correct the output of COLA simulations with different values of $\Omega_{\rm m}$, $\Omega_{\rm b}$, $h$, $n_s$, $\sigma_8$, $w$, and $M_\nu$ with very high accuracy: the power spectrum and the cross-correlation coefficients are within $\simeq1\%$ down to $k=1~h{\rm Mpc}^{-1}$. Our results indicate that the correction to the power spectrum from fast/approximate simulations or field-level perturbation theory is rather universal. Our model represents a first step towards the development of a fast field-level emulator to sample not only primordial mode amplitudes and phases, but also the parameter space defined by the values of the cosmological parameters.
7 pages, 5 figures, accepted for publication in The Astrophysical Journal Letters
We report on an {unusually} bright observation of PSR J1720$-$0533 using the Five-hundred-meter Aperture Spherical radio Telescope (FAST). The pulsar is in a black widow system that {was discovered by the Commensal Radio Astronomy FAST Survey (CRAFTS). By coincidence, a bright scintillation maximum was simultaneous with the eclipse in our observation which allowed for precise measurements of flux density variations, as well as dispersion measure (DM) and polarization.} We found that there are quasi-periodic pulse emission variations with a modulation period of $\sim$ {22\,s} during the ingress of the eclipse, which could be caused by plasma lensing. {No such periodic modulation was found during the egress of the eclipse. } {The linear polarization of the pulsar disappears before the eclipse, even before there is a visually obvious change in DM. We also found that the pulse scattering maybe play an important role in the eclipse of PSR J1720$-$0533.}
9 pages, 3 figures, Accepted by The Astronomical Journal on 1/11/2021
The dust temperature and mass of the supernova remnants (SNRs) in M31 are estimated by fitting the infrared spectral energy distribution calculated from the images in the Spitzer/IRAC4 and MIPS24, Herschel/PACS70, 100, 160, and Herschel/SPIRE250, 350$\mu$m band. Twenty SNRs with relatively reliable photometry exhibit an average dust temperature of $20.1^{+1.8}_{-1.5}$K, which is higher than the surrounding and indicating the heating effect of supernova explosion. The dust mass of these SNRs ranges from about 100 to 800$ M_{\odot}$, much bigger than the SNRs in the Milky Way. On the other hand, this yields the dust surface density of $0.10^{+0.07}_{-0.04}{ M_{\odot} \rm pc^{-2}}$, about half of the surrounding area, which implies that about half dust in the SNRs is destroyed by the supernova explosion. The dust temperature, the radius, and thus the dust mass all demonstrate that the studied SNRs are old and very likely in the snowplow or even fade away phase because of the limitation by the far distance and observation resolution of M31, and the results can serve as a reference to the final effect of supernova explosion on the surrounding dust.
22 pages, 16 figures, Submitted to MNRAS, comments and suggestions welcome, please visit www.thesan-project.com for more details
35 pages + references, 5 figures
19 pages, 20 figures, 4 tables. Submitted to MNRAS. The DR1 catalog and light curves are available here: this https URL
11 pages, 14 figures, comments are welcome
18 pages, 7 figures, accepted for publication in ApJ
27 Pages + Appendices, 15 Figures
19 pages, 11 figure, 2 Tables, submitted to APJ
12 pages, 11 Figures, submitted to MNRAS
6 pages, 4 figures, Accepted for publication in Astronomische Nachrichten
accepted by ApJ
7 pages, 3 figures, based on the parallel talk at the European Physical Society Conference on High Energy Physics, 26-30 July 2021, hosted jointly by Universit\"{a}t Hamburg and the research center DESY and held online
9 pages, 7 figures. Accepted for publication in MNRAS
4 pages, 3 figures, based on the poster presentation at the 17th International Conference on Topics in Astroparticle and Underground Physics (TAUP 2021), 26 August - 3 September 2021, hosted by IFIC Valencia and held online
18 pages, 10 figures
23 pages, 15 figures, submitted to A&A
9 pages, 6 figures, onference: ICRC 2021
This is a pre-copyedited, author-produced PDF of an article accepted for publication in MNRAS following peer review
18 pages, 5 figures, table3 and table4 available in machine-readable format. Accepted for publication on ApJ on 03/11/2021
Accepted for publication in A&A, 8 pages, 8 figures, 3 Tables
8 pages, 3 figures. Accepted for publication in ApJ
16 pages, 12 figures. Accepted by ApJ
33 pages, 17 figures, 13 tables
10 pages, 2 figures, submitted to ApJ
10 pages, 5 figures. Submitted to ApJ, comments welcome
Accepted for publication in the MNRAS; the article consists of 20 pages, including 14 figures
Accepted for publication in the MNRAS; the article consists of 21 pages, including 17 figures
7 pages, 6 figures
15 pages, 5 figures, 2 tables
8 pages
8 pages, 3 figures, accepted for publication in PRD
Accepted for publication in AJ, 15 pages, 9 figures
18 pages, 22 figures
Pre-print version, 15 pages, 9 figures, accepted and published on Experimental Astronomy
Accepted by Astronomy and Astrophysics (A&A)
5 pages (+ appendices, 9 pages), 8 figures, 1 table, accepted for publication in A&A Letters
To appear in the Proceedings of the International Conference entitled 'mm Universe @ NIKA2', Rome (Italy), June 2021, EPJ Web of conferences
13 pages, 9 figures, 3 tables, 2 videos
6 pages, 2 figures, accepted by AstronNachr
14 pages, 7 figures
20 pages, 14 figures, Accepted for publication in MNRAS
14 pages, 2 tables, 9 figures, accepted for publication in The Astronomical Journal (AJ)
Accepted for publication in Astronomy and Astrophysics on Oct. 29th 2021. Table A.1 will be removed from the published version and sent to the CDS
9 pages, 5 figures, 4th Virtual Workshop on Numerical Modeling in MHD and Plasma Physics (MHD-PP), October 2021
13 pages, 9 figures, 2 tables
To appear in the Proceedings of the International Conference entitled "mm Universe @ NIKA2", Rome (Italy), June 2021, EPJ Web of conferences
23 pages, 9 figures
7 pages, 6 figures. Accepted on ApJL
13 pages, 6 figures
23 pages, 24 figures, accepted for publication in A&A
30 pages, 8 figures
5 pages, 2 figures, 7 tables (1 long table). Submitted to MNRAS. Comments are welcome before publication
26 pages, 13 figures, 5 tables, Accepted for publication in ApJ
Fourth Workshop on Machine Learning and the Physical Sciences (NeurIPS 2021)
20 pages, 11 figures, 7 tables - Accepted for publication in MNRAS
13 pages, 22 figures
4 pages, 1 figure. Submitted to Physical Review D. arXiv admin note: text overlap with arXiv:2111.02007
15 pages, 10 figures
7 pages, 6 figures, Proceedings for the 19th International Workshop on Low Temperature Detectors (LTD19)
5 pages, 5 figures