Accepted for publication in The Astrophysical Journal
Exoplanets orbiting M-dwarfs within habitable zones are exposed to stellar environments more extreme than that terrestrial planets experience in our Solar System, which can significantly impact the atmospheres of the exoplanets and affect their habitability and sustainability. This study provides the first prediction of hot oxygen corona structure and the associated photochemical loss from a 1 bar CO2-dominated atmosphere of a Venus-like rocky exoplanet, where dissociative recombination of O2+ ions is assumed to be the major source reaction for the escape of neutral O atoms and formation of the hot O corona (or exospheres) as on Mars and Venus. We employ a 3D Monte Carlo code to simulate the exosphere of Proxima Centauri b (PCb) based on the ionosphere simulated by a 3D magnetohydrodynamic model. Our simulation results show that variability of the stellar wind dynamic pressure over one orbital period of PCb does not affect the overall spatial structure of the hot O corona but contributes to the change in the global hot O escape rate that varies by an order of magnitude. The escape increases dramatically when the planet possesses its intrinsic magnetic fields as the ionosphere becomes more extended with the presence of a global magnetic field. The extended hot O corona may lead to a more extended H exosphere through collisions between thermal H and hot O, which exemplifies the importance of considering nonthermal populations in exospheres to interpret future observations.
14 pages, 6 figures, Submitted to APJ
From 1,000 hydrodynamic simulations of the CAMELS project, each with a different value of the cosmological and astrophysical parameters, we generate 15,000 gas temperature maps. We use a state-of-the-art deep convolutional neural network to recover missing data from those maps. We mimic the missing data by applying regular and irregular binary masks that cover either $15\%$ or $30\%$ of the area of each map. We quantify the reliability of our results using two summary statistics: 1) the distance between the probability density functions (pdf), estimated using the Kolmogorov-Smirnov (KS) test, and 2) the 2D power spectrum. We find an excellent agreement between the model prediction and the unmasked maps when using the power spectrum: better than $1\%$ for $k<20 h/$Mpc for any irregular mask. For regular masks, we observe a systematic offset of $\sim5\%$ when covering $15\%$ of the maps while the results become unreliable when $30\%$ of the data is missing. The observed KS-test p-values favor the null hypothesis that the reconstructed and the ground-truth maps are drawn from the same underlying distribution when irregular masks are used. For regular-shaped masks on the other hand, we find a strong evidence that the two distributions do not match each other. Finally, we use the model, trained on gas temperature maps, to perform inpainting on maps from completely different fields such as gas mass, gas pressure, and electron density and also for gas temperature maps from simulations run with other codes. We find that visually, our model is able to reconstruct the missing pixels from the maps of those fields with great accuracy, although its performance using summary statistics depends strongly on the considered field.
15 pages, 8 figures
The ESA Euclid mission will produce photometric galaxy samples over 15 000 square degrees of the sky that will be rich for clustering and weak lensing statistics. The accuracy of the cosmological constraints derived from these measurements will depend on the knowledge of the underlying redshift distributions based on photometric redshift calibrations. A new approach is proposed to use the stacked spectra from Euclid slitless spectroscopy to augment the broad-band photometric information to constrain the redshift distribution with spectral energy distribution fitting. The high spectral resolution available in the stacked spectra complements the photometry and helps to break the colour-redshift degeneracy and constrain the redshift distribution of galaxy samples. We model the stacked spectra as a linear mixture of spectral templates. The mixture may be inverted to infer the underlying redshift distribution using constrained regression algorithms. We demonstrate the method on simulated Vera C. Rubin Observatory and Euclid mock survey data sets based on the Euclid Flagship mock galaxy catalogue. We assess the accuracy of the reconstruction by considering the inference of the baryon acoustic scale from angular two-point correlation function measurements. We select mock photometric galaxy samples at redshift z>1 using the self-organizing map algorithm. Considering the idealized case without dust attenuation, we find that the redshift distributions of these samples can be recovered with 0.5% accuracy on the baryon acoustic scale. The estimates are not significantly degraded by the spectroscopic measurement noise due to the large sample size. However, the error degrades to 2% when the dust attenuation model is left free. We find that the colour degeneracies introduced by attenuation limit the accuracy considering the wavelength coverage of the Euclid near-infrared spectroscopy.
22 pages, 14 figures, 2 tables, submitted to ApJ
28 pages, 15 figures, accepted for publication in ApJ
9 pages, 6 figures, submitted to MNRAS, comments are welcome
19 pages, 9 figures + Appendix. Accepted for publication in MNRAS
Accepted at ApJ. 9 figures, 24 pages
16 pages, 5 figures. Submitted to MNRAS. Comments welcome!
20 pages, 11 figures, Submitted to MNRAS, Comments welcome
19 pages, 11 figures + Appendix. Published in MNRAS
14 pages, submitted to AAS Journals,
Accepted for publication at MNRAS
Accepted for publication in ApJ
8pages, 5 figs, accepted for publication in AJ
15 pages, 11 figures, accepted for publication in ApJ
5 pages, 2 figures, accepted for publication in Monthly Notices of the Royal Astronomical Society
submitted to Space Weather
14 pages, 4 figures, accepted for publication in MNRAS
9+1 pages, 9+1 figures, submitted to journal. Comments welcome!
22 pages, 12 Figures
6 pages, 3 figures, Submitted to journal
Accepted by Phys Rev D. 10 pages, 6 figures
10 pages, 13 figures, 6 tables
13 pages, 16 figures, submitted to MNRAS
14 pages, 7 figures
31 pages, 19 figures, 4 Tables
9 pages, 3 figures
submitted to ApJ Letters 2021 September 15. 10 pages, 3 figures, 1 table
23 Pages, 6 Tables, 6 Figures, Accepted for Publication in New Astronomy Journal
6 pages
35 pages, 26 figures, and a 19-page appendix. Accepted for publication in ApJS. Light curve data temporarily available: this https URL
14 pages, 4 figures; Accepted for publication in SCPMA
18 pages, 13 figures
Published in Solar Physics, 11 pages, 6 figures
13 pages, 7 figures, to be published in Astronomy & Astrophysics
2 tables, 4 figures, publication version
Accepted in Astronomy & Astrophysics
11 pages, 4 figures
22 pages
13 pages, 9 figures
Submitted to SciPost Physics Lecture Notes, Les Houches Summer School Series. arXiv admin note: text overlap with arXiv:2102.12143
18 pages, 4 figures