Zobrazeno 1 - 10
of 6 686
pro vyhledávání: '"A, Lanzoni"'
Autor:
Crociati, Chiara, Cignoni, Michele, Dalessandro, Emanuele, Pallanca, Cristina, Massari, Davide, Ferraro, Francesco R., Lanzoni, Barbara, Origlia, Livia, Valenti, Elena
Context. Terzan 5 and Liller 1 are the only bulge stellar clusters hosting multi-iron and multi-age stellar populations. They are therefore claimed to constitute a novel class of astrophysical objects: the fossils of massive star-forming clumps that
Externí odkaz:
http://arxiv.org/abs/2410.16971
Autor:
Dalessandro, E., Cadelano, M., Della Croce, A., Aros, F. I., White, E. B., Vesperini, E., Fanelli, C., Ferraro, F. R., Lanzoni, B., Leanza, S., Origlia, L.
We present the first 3D kinematic analysis of multiple stellar populations (MPs) in a representative sample of 16 Galactic globular clusters (GCs). For each GC in the sample we studied the MP line-of-sight, plane-of-the-sky and 3D rotation as well as
Externí odkaz:
http://arxiv.org/abs/2409.03827
Autor:
Della Croce, A., Aros, F. I., Vesperini, E., Dalessandro, E., Lanzoni, B., Ferraro, F. R., Bhat, B.
Context. Globular clusters (GCs) are suggested to host many stellar-mass black holes (BHs) at their centers, thus resulting in ideal testbeds for BH formation and retention theories. BHs are expected to play a major role in GC structural and dynamica
Externí odkaz:
http://arxiv.org/abs/2409.01400
Autor:
Fanelli, C., Origlia, L., Rich, R. M., Ferraro, F. R., Garay, D. A. Alvarez, Chiappino, L., Lanzoni, B., Pallanca, C., Crociati, C., Dalessandro, E.
We present a high resolution chemical study of a representative sample of 21 luminous giant stars of Liller~1, a complex stellar system in the Galactic bulge, based on H band spectra acquired with the Near InfraRed Spectrograph at KeckII. 15 stars tu
Externí odkaz:
http://arxiv.org/abs/2408.12649
Autor:
Billi, Alex, Ferraro, Francesco R., Mucciarelli, Alessio, Lanzoni, Barbara, Cadelano, Mario, Monaco, Lorenzo
Publikováno v:
A&A 690, A156 (2024)
By using high-resolution spectra acquired with FLAMES-GIRAFFE at the ESO/VLT, we measured radial and rotational velocities of 115 stars in the Galactic globular cluster M55. After field decontamination based on the radial velocity values, the final s
Externí odkaz:
http://arxiv.org/abs/2408.07620
Autor:
Lanzoni, Daniele, Fantasia, Andrea, Bergamaschini, Roberto, Pierre-Louis, Olivier, Montalenti, Francesco
A Convolutional Recurrent Neural Network (CRNN) is trained to reproduce the evolution of the spinodal decomposition process in three dimensions as described by the Cahn-Hilliard equation. A specialized, physics-inspired architecture is proven to prov
Externí odkaz:
http://arxiv.org/abs/2407.20126
Autor:
Fanelli, C., Origlia, L., Mucciarelli, A., Ferraro, F. R., Rich, R. M., Lanzoni, B., Massari, D., Pallanca, C., Dalessandro, E., Loriga, M.
We used near-infrared spectroscopy at medium-high resolution (R=8,000$-$25,000) to perform the first comprehensive chemical study of the intermediate luminosity bulge globular cluster Terzan~6. We derived detailed abundances and abundance patterns of
Externí odkaz:
http://arxiv.org/abs/2406.07180
Autor:
Leanza, Silvia, Pallanca, Cristina, Ferraro, Francesco R., Lanzoni, Barbara, Vesperini, Enrico, Cadelano, Mario, Origlia, Livia, Fanelli, Cristiano, Dalessandro, Emanuele, Valenti, Elena
We present the results of a study aimed at characterizing the kinematics of the inner regions of the halo globular cluster M75 (NGC 6864) based on data acquired as part of the ESO-VLT Multi-Instrument Kinematic Survey (MIKiS) of Galactic globular clu
Externí odkaz:
http://arxiv.org/abs/2405.13558
Autor:
Giusti, Camilla, Cadelano, Mario, Ferraro, Francesco R., Lanzoni, Barbara, Pallanca, Cristina, Vesperini, Enrico, Dalessandro, Emanuele, Salaris, Maurizio
Publikováno v:
A&A 687, A310 (2024)
In the context of the study of the size-age relationship observed in star clusters in the Large Magellanic Cloud and the investigation of its origin, here we present the determination of the structural parameters and the dynamical age of the massive
Externí odkaz:
http://arxiv.org/abs/2405.04922
Autor:
Encinar, Luis Martín, Lanzoni, Daniele, Fantasia, Andrea, Rovaris, Fabrizio, Bergamaschini, Roberto, Montalenti, Francesco
A Deep Learning approach is devised to estimate the elastic energy density $\rho$ at the free surface of an undulated stressed film. About 190000 arbitrary surface profiles h(x) are randomly generated by Perlin noise and paired with the corresponding
Externí odkaz:
http://arxiv.org/abs/2405.03049