Multiwavelength Analysis of a Nearby Heavily Obscured AGN in NGC 449Guo, Xiaotong; Gu, Qiusheng; Xu, Jun; Fang, Guanwen; Ge, Xue; Chen, Yongyun; Yu, Xiaoling; Ding, Nan
doi: 10.1088/1538-3873/acb294pmid: N/A
We present the multiwavelength analysis of a heavily obscured active galactic nucleus (AGN) in NGC 449. We first constructed a broadband X-ray spectrum using the latest NuSTAR and XMM-Newton data. Its column density (≃1024 cm−2) and photon index (Γ ≃ 2.4) were reliably obtained by analyzing the broadband X-ray spectrum. However, the scattering fraction and the intrinsic X-ray luminosity could not be well constrained. Combined with the information obtained from the mid-infrared spectrum and spectral energy distribution fitting, we derived its intrinsic X-ray luminosity (≃8.54 × 1042 erg s−1) and scattering fraction (fscat ≃ 0.26%). In addition, we also derived the following results. (1) The mass accretion rate of the central AGN is about 2.54 × 10−2 M⊙ yr−1, and the Eddington ratio is 8.39 × 10−2. (2) The torus of this AGN has a high gas-to-dust ratio (NH/AV= 8.40 × 1022 cm−2 mag−1). (3) The host galaxy and central AGN are both in the early stage of coevolution.
The Unistellar Exoplanet Campaign: Citizen Science Results and Inherent Education OpportunitiesO’Conner Peluso, Daniel; Esposito, Thomas M.; Marchis, Franck; Dalba, Paul A.; Sgro, Lauren; Megowan-Romanowicz, Colleen; Pennypacker, Carl; Carter, Bradley; Wright, Duncan; Avsar, Arin M.; Perrocheau, Amaury; ,
doi: 10.1088/1538-3873/acaa58pmid: N/A
This paper presents early results from and prospects for exoplanet science using a citizen science private/public partnership observer network managed by the SETI Institute in collaboration with Unistellar. The network launched in 2020 January and includes 163 citizen scientist observers across 21 countries. These observers can access a citizen science mentoring service developed by the SETI Institute and are also equipped with Unistellar Enhanced Vision Telescopes. Unistellar technology and the campaign’s associated photometric reduction pipeline enable each telescope to readily obtain and communicate light curves to observers with signal-to-noise ratio suitable for publication in research journals. Citizen astronomers of the Unistellar Exoplanet (UE) Campaign routinely measure transit depths of ≳1% and contribute their results to the exoplanet research community. The match of the detection system, targets, and scientific and educational goals is robust. Results to date include 281 transit detections out of 651 processed observations. In addition to this campaign’s capability to contribute to the professional field of exoplanet research, UE endeavors to drive improved science, technology, engineering, and mathematics education outcomes by engaging students and teachers as participants in science investigations, that is, learning science by doing science.
Introducing the Condor Array Telescope. I. Motivation, Configuration, and PerformanceLanzetta, Kenneth M.; Gromoll, Stefan; Shara, Michael M.; Berg, Stephen; Valls-Gabaud, David; Walter, Frederick M.; Webb, John K.
doi: 10.1088/1538-3873/acaee6pmid: N/A
The “Condor Array Telescope” or “Condor” is a high-performance “array telescope” comprised of six apochromatic refracting telescopes of objective diameter 180 mm, each equipped with a large-format, very low-read-noise (≈1.2 e−), very rapid-read-time (<1 s) CMOS camera. Condor is located at a very dark astronomical site in the southwest corner of New Mexico, at the Dark Sky New Mexico observatory near Animas, roughly midway between (and more than 150 km from either) Tucson and El Paso. Condor enjoys a wide field of view (2.29 × 1.53 deg2 or 3.50 deg2), is optimized for measuring both point sources and extended, very low-surface-brightness features, and for broad-band images can operate at a cadence of 60 s (or even less) while remaining sky-noise limited with a duty cycle near 100%. In its normal mode of operation, Condor obtains broad-band exposures of exposure time 60 s over dwell times spanning dozens or hundreds of hours. In this way, Condor builds up deep, sensitive images while simultaneously monitoring tens or hundreds of thousands of point sources per field at a cadence of 60 s. Condor is also equipped with diffraction gratings and with a set of He ii 468.6 nm, [O iii] 500.7 nm, He i 587.5 nm, Hα 656.3 nm, [N ii] 658.4 nm, and [S ii] 671.6 nm narrow-band filters, allowing it to address a variety of broad- and narrow-band science issues. Given its unique capabilities, Condor can access regions of “astronomical discovery space” that have never before been studied. Here we introduce Condor and describe various aspects of its performance.
Application of Neural Networks to Estimation and Prediction of Seeing at the Large Solar Telescope SiteShikhovtsev, Artem Yu.; Kovadlo, Pavel G.; Kiselev, Alexander V.; Eselevich, Maxim V.; Lukin, Vladimir P.
doi: 10.1088/1538-3873/acb384pmid: N/A
Optical turbulence limits the angular resolution of ground-based astronomical telescopes. The key parameter of optical turbulence is seeing. In this study, seasonal variations of seeing estimated from differential image motion monitor measurements at the Large Solar Telescope site are discussed. The Large Solar Telescope will be located at an elevation of 2000 m above sea level (51°37′18″N, 100°55′07″E). The highest seeing values are observed in winter. The median of seeing is 2.″1. In summer, the median decreases to 1.″1. The best atmospheric conditions are observed in April–May, when the medians of seeing are low and the standard deviations are high. During this period, atmospheric situations with low values of seeing (∼0.″5–0.″6) are often observed. We simulated multilayer neural networks for the measured seeing by applying a group method of data handling. Modeled seeing is well described in terms of mean meteorological parameters, which include wind speed components and large-scale vorticity of air flows at different altitudes in the atmosphere. The 12-layer optimal neural network obtained has a high correlation coefficient between modeled and measured seeing values. The linear correlation coefficient is 0.77.