Search Publications
A comparison of compact, presumably young with extended, evolved radio active galactic nuclei
Meusinger, Helmut; Mhaskey, Mukul
Context. The triggering and evolution of active galactic nuclei (AGNs) and the interaction of the AGN with its host galaxy is an important topic in extragalactic astrophysics. Radio sources with peaked spectra (peaked spectrum sources, PSS) and compact symmetric objects (CSO) are powerful, compact, and presumably young AGNs and therefore particula…
The factors that influence protostellar multiplicity: I. Gas temperature, density, and mass in Perseus with Nobeyama
Johnstone, D.; Hacar, A.; Sakai, N. +9 more
Context. Protostellar multiplicity is common at all stages and mass ranges. However, the factors that determine the multiplicity of protostellar systems have not been systematically characterized through their molecular gas. Aims. We characterize the physical properties of the Perseus molecular cloud at ≥5000 AU scales by mapping the diagnostic mo…
The GAPS Programme at TNG: LIX. Characterisation study of the ∼300 Myr-old multi-planetary system orbiting the star BD+40 2790 (TOI-2076)
Baratella, M.; Béjar, V. J. S.; Zapatero Osorio, M. R. +35 more
Context. The long-term Global Architecture of Planetary Systems (GAPS) programme has been characterising a sample of young systems with transiting planets via spectroscopic and photometric follow-up observations. One of the main goals of GAPS is measuring planets' dynamical masses and bulk densities to help build a picture of how planets evolve in…
Expansion kinematics of young clusters: I. Lambda Ori
Tan, Jonathan C.; Armstrong, Joseph J.
Context. Most stars form in clusters or associations, but only a small number of these groups are expected to remain bound for longer than a few megayears. Once star formation has ended and the molecular gas around young stellar objects has been expelled via feedback processes, most initially bound young clusters lose the majority of their binding…
Soft X-ray emission from the classical nova AT 2018bej
Werner, K.; Santangelo, A.; Ducci, L. +4 more
Context. Classical novae are known to demonstrate a supersoft X-ray source (SSS) state following outbursts. This state is associated with residual thermonuclear burning on the white dwarf (WD) surface. During its all-sky survey (eRASS1), the eROSITA telescope on board the Spectrum-Roentgen-Gamma observatory discovered a bright new SSS, whose posit…
The grazing-angle icy protoplanetary disk PDS 453
Pinte, C.; Ménard, F.; Duchêne, G. +13 more
Context. Observations of highly inclined protoplanetary disks provide a different point of view, in particular, they provide a more direct access to the vertical disk structure when compared to less steeply inclined more pole-on disks. Aims. PDS 453 is a rare highly inclined disk where the stellar photosphere is seen at grazing incidence on the di…
Estimating the lateral speed of a fast shock driven by a coronal mass ejection at the location of solar radio emissions
Kilpua, E. K. J.; Pomoell, J.; Morosan, D. E. +1 more
Context. Fast coronal mass ejections (CMEs) can drive shock waves capable of accelerating electrons to high energies. These shock-accelerated electrons act as sources of electromagnetic radiation, often in the form of solar radio bursts. Recent findings suggest that radio imaging of solar radio bursts can provide a means to estimate the lateral ex…
Indication of a fast ejecta fragment in the atomic cloud interacting with the southwestern limb of SN 1006
Miceli, M.; Bocchino, F.; Orlando, S. +5 more
Context. Supernova remnants interacting with molecular and atomic clouds are interesting X-ray sources for studies of broadband nonthermal emission. X-ray line emission in these systems can be produced by different processes, such as low-energy cosmic rays (LECRs) interacting with the cloud and fast ejecta fragments moving in the cloud.
Aims:…
FLAME: Fitting Lyα absorption lines using machine learning
Vivek, M.; Jalan, P.; Khaire, V. +1 more
We introduce FLAME, a machine-learning algorithm designed to fit Voigt profiles to H I Lyman-alpha (Lyα) absorption lines using deep convolutional neural networks. FLAME integrates two algorithms: the first determines the number of components required to fit Lyα absorption lines, and the second calculates the Doppler parameter b, the H I column de…
AGN populations in the local Universe: Their alignment with the main sequence, stellar population characteristics, accretion efficiency, and the impact of AGN feedback
Georgantopoulos, I.; Mountrichas, G.; Akylas, A. +3 more
In this study, we used a sample of 338 galaxies - within the redshift range of 0.02 < z < 0.1 drawn from the Sloan Digital Sky Survey (SDSS) - for which there are available classifications based on their emission line ratios. We identified and selected Compton-thick (CT) AGN through the use of X-ray and infrared luminosities at 12 µm. …