Zobrazeno 1 - 10
of 3 984
pro vyhledávání: '"Bartoloméo, P."'
We present exact mixed-integer programming linear formulations for verifying the performance of first-order methods for parametric quadratic optimization. We formulate the verification problem as a mixed-integer linear program where the objective is
Externí odkaz:
http://arxiv.org/abs/2412.11330
Autor:
Sambharya, Rajiv, Stellato, Bartolomeo
We introduce a machine-learning framework to learn the hyperparameter sequence of first-order methods (e.g., the step sizes in gradient descent) to quickly solve parametric convex optimization problems. Our computational architecture amounts to runni
Externí odkaz:
http://arxiv.org/abs/2411.15717
Autor:
Trefoloni, Bartolomeo, Ji, Xihan, Maiolino, Roberto, D'Eugenio, Francesco, Übler, Hannah, Scholtz, Jan, Marconi, Alesandro, Marconcini, Cosimo, Mazzolari, Giovanni
Recent JWST observations have revealed a large population of intermediate/low-luminosity AGN at early times with peculiar properties, different from local AGN or luminous quasars. To better understand the physical conditions in the BLRs of these earl
Externí odkaz:
http://arxiv.org/abs/2410.21867
Autor:
Trefoloni, Bartolomeo, Gilli, Roberto, Lusso, Elisabeta, Marconi, Alessandro, Mazzolari, Giovanni, Nardini, Emanuele, Risaliti, Guido, Signorini, Matilde
A fundamental ingredient in the unified model of active galactic nuclei (AGN) is the obscuring torus, whose innermost, hottest region dominates the near infrared (NIR) emission. Characterising the change in the torus properties and its interplay with
Externí odkaz:
http://arxiv.org/abs/2410.10941
Gravitational wave dark sirens are a powerful tool for cosmology and inference of compact object population hyperparameters. They allow for a measurement of the luminosity distance to the source, but not their redshift. Galaxy catalogues in the sourc
Externí odkaz:
http://arxiv.org/abs/2410.03275
Autor:
Bergadano, Lorenzo, Ceschini, Andrea, Chiavassa, Pietro, Giusto, Edoardo, Montrucchio, Bartolomeo, Panella, Massimo, Rosato, Antonello
In a world burdened by air pollution, the integration of state-of-the-art sensor calibration techniques utilizing Quantum Computing (QC) and Machine Learning (ML) holds promise for enhancing the accuracy and efficiency of air quality monitoring syste
Externí odkaz:
http://arxiv.org/abs/2410.02998
Autor:
Mazzolari, Giovanni, Scholtz, Jan, Maiolino, Roberto, Gilli, Roberto, Traina, Alberto, López, Ivan E., Übler, Hannah, Trefoloni, Bartolomeo, D'Eugenio, Francesco, Ji, Xihan, Mignoli, Marco, Vito, Fabio, Brusa, Marcella
In this work, we spectroscopically select narrow-line AGN (NLAGN) among the $\sim 300$ publicly available medium-resolution spectra of the CEERS Survey. Using both traditional and newly identified emission line NLAGN diagnostics diagrams, we identifi
Externí odkaz:
http://arxiv.org/abs/2408.15615
Autor:
Farrugia, Noel, Bonanno, Daniel, Frendo, Nicholas, Xuereb, André, Kosmatos, Evangelos, Stavdas, Alexandros, Russo, Marco, Montrucchio, Bartolomeo, Menchetti, Marco, Bacco, Davide, Marigonda, Silvia, Stocco, Francesco, Morgari, Guglielmo, Manzalini, Antonio
There is mounting evidence that a second quantum revolution based on the technological capabilities to detect and manipulate single quantum particles (e.g., electrons, photons, ions, etc), a feat not achieved during the first quantum revolution, is p
Externí odkaz:
http://arxiv.org/abs/2408.15027
Autor:
Giusto, Edoardo, Nuñez-Corrales, Santiago, Cao, Phuong, Cilardo, Alessandro, Iyer, Ravishankar K., Jiang, Weiwen, Rech, Paolo, Vella, Flavio, Montrucchio, Bartolomeo, Dasgupta, Samudra, Humble, Travis S.
Quantum Computing (QC) offers the potential to enhance traditional High-Performance Computing (HPC) workloads by leveraging the unique properties of quantum computers, leading to the emergence of a new paradigm: HPC-QC. While this integration present
Externí odkaz:
http://arxiv.org/abs/2408.10484
The $\texttt{Hi-COLA}$ code is an efficient dark matter simulation suite that flexibly handles the Horndeski family of modified gravity models. In this work we extend the scope of $\texttt{Hi-COLA}$ to accommodate Horndeski theories with K-mouflage s
Externí odkaz:
http://arxiv.org/abs/2407.00855