Tootfinder

A combined Machine Learning and Finite Element Modelling tool for the surgical planning of craniosynostosis correction
Itxasne Ant\'unez S\'aenz, Ane Alberdi Aramendi, David Dunaway, Juling Ong, Lara Deli\`ege, Amparo S\'aenz, Anita Ahmadi Birjandi, Noor UI Owase Jeelani, Silvia Schievano, Alessandro Borghi
https://a…

A combined Machine Learning and Finite Element Modelling tool for the surgical planning of craniosynostosis correction
Craniosynostosis is a medical condition that affects the growth of babies' heads, caused by an early fusion of cranial sutures. In recent decades, surgical treatments for craniosynostosis have significantly improved, leading to reduced invasiveness, faster recovery, and less blood loss. At Great Ormond Street Hospital (GOSH), the main surgical treatment for patients diagnosed with sagittal craniosynostosis (SC) is spring assisted cranioplasty (SAC). This procedure involves a 15x15 mm2 osteotomy…

Sum-frequency-based photon-number-resolving detector for telecom wavelengths
Silvia Cassina, Alex Pozzoli, Guglielmo Vesco, Marco Lamperti, Marco Marangoni, Alessia Allevi
https://arxiv.org/abs/2508.02203

Sum-frequency-based photon-number-resolving detector for telecom wavelengths
The use of C-band wavelengths in the field of quantum communication has grown significantly, driving the need for versatile detection solutions, especially in the low intensity domain. Among the desirable features for such detectors, photon-number-resolving (PNR) capability is particularly valuable, since it can offer new possibilities for enhancing security of communication protocols. In this paper, we present the implementation of a receiver that combines low-cost PNR detectors with nonlinear…

Dissipation engineering of fermionic long-range order beyond Lindblad
Silvia Neri, Fran\c{c}ois Damanet, Andrew J. Daley, Marialuisa Chiofalo, Jorga Yago Malo
https://arxiv.org/abs/2507.00553

Dissipation engineering of fermionic long-range order beyond Lindblad
We investigate the possibility of engineering dissipatively long-range order that is robust against heating in strongly interacting fermionic systems, relevant for atoms in cavity QED. It was previously shown [Tindall et al. Phys.Rev.Lett. 123, 030603 (2019)] that it is possible to stabilize long-range order in a Hubbard model by exploiting a dissipative mechanism in the Lindblad limit, this latter being valid for spectrally unstructured baths. Here, we first show that this mechanism still hold…

Towards a Robust Transport Network With Self-adaptive Network Digital Twin
Cl\'audio Modesto, Jo\~ao Borges, Cleverson Nahum, Lucas Matni, Cristiano Bonato Both, Kleber Cardoso, Glauco Gon\c{c}alves, Ilan Correa, Silvia Lins, Andrey Silva, Aldebaro Klautau
https://arxiv.org/abs/2507.20971

Towards a Robust Transport Network With Self-adaptive Network Digital Twin
The ability of the network digital twin (NDT) to remain aware of changes in its physical counterpart, known as the physical twin (PTwin), is a fundamental condition to enable timely synchronization, also referred to as twinning. In this way, considering a transport network, a key requirement is to handle unexpected traffic variability and dynamically adapt to maintain optimal performance in the associated virtual model, known as the virtual twin (VTwin). In this context, we propose a self-adapt…

Chimera games emerging from coevolutionary dynamics with endogenous feedbacks
Federico Maria Quetti, Andrea Civilini, Giacomo Frigerio, Silvia Figini, Giacomo Livan, Vito Latora
https://arxiv.org/abs/2506.20603

Chimera games emerging from coevolutionary dynamics with endogenous feedbacks
From climate change to financial bubbles and wars, the rapid pace of change in our world clearly shows that the commonly adopted assumption of a static environment in evolutionary game-theoretic models is often unrealistic. In this work, we introduce a coevolutionary game model where the game environment and the strategy dynamics are mutually coupled. In particular, the game played at each time is endogenously defined as a convex combination of two social dilemmas, weighted by the current abund…

Null geodesics, causal structure, and matter accretion in Lorentzian-Euclidean black holes
Salvatore Capozziello, Emmanuele Battista, Silvia De Bianchi
https://arxiv.org/abs/2507.08431

Null geodesics, causal structure, and matter accretion in Lorentzian-Euclidean black holes
Recently, we introduced the Lorentzian-Euclidean black hole, a static and spherically symmetric solution of vacuum Einstein equations that exhibits a change in metric signature across the event horizon. In this framework, the analysis of radial trajectories of freely falling bodies proves that the central singularity can be avoided via a mechanism we interpret as atemporality, which is responsible for the shift of the time variable from real to imaginary values. In this paper, we further expl…

Unveiling the small-scale web around galaxies with miniJPAS and DESI: the role of local connectivity in star formation
Daniela Gal\'arraga-Espinosa, Guinevere Kauffmann, Silvia Bonoli, Luisa Lucie-Smith, Rosa M. Gonz\'alez Delgado, Elmo Tempel, Raul Abramo, Siddharta Gurung-L\'opez, Valerio Marra, Jailson Alcaniz, Narciso Benitez, Saulo Carneiro, Javier Cenarro, David Crist\'obal-Hornillos, Renato Dupke, Alessandro Ederoclite, Antonio Hern\'an-Caballero, Carlos Hern…

Unveiling the small-scale web around galaxies with miniJPAS and DESI: the role of local connectivity in star formation
We present the first statistical observational study detecting small-scale filaments in the immediate surroundings of galaxies, i.e. the local web of galaxies. Simulations predict that cold gas, the fuel for star formation, is channeled through filamentary structures into galaxies. Yet, direct observational evidence for this process has been limited by the challenge of mapping the cosmic web at small scales. Using miniJPAS spectro-photometric data combined with spectroscopic DESI redshifts when…

Deep Equilibrium models for Poisson Imaging Inverse problems via Mirror Descent
Christian Daniele, Silvia Villa, Samuel Vaiter, Luca Calatroni
https://arxiv.org/abs/2507.11461

Deep Equilibrium models for Poisson Imaging Inverse problems via Mirror Descent
Deep Equilibrium Models (DEQs) are implicit neural networks with fixed points, which have recently gained attention for learning image regularization functionals, particularly in settings involving Gaussian fidelities, where assumptions on the forward operator ensure contractiveness of standard (proximal) Gradient Descent operators. In this work, we extend the application of DEQs to Poisson inverse problems, where the data fidelity term is more appropriately modeled by the Kullback-Leibler dive…

Room Impulse Response Generation Conditioned on Acoustic Parameters
Silvia Arellano, Chunghsin Yeh, Gautam Bhattacharya, Daniel Arteaga
https://arxiv.org/abs/2507.12136

Room Impulse Response Generation Conditioned on Acoustic Parameters
The generation of room impulse responses (RIRs) using deep neural networks has attracted growing research interest due to its applications in virtual and augmented reality, audio postproduction, and related fields. Most existing approaches condition generative models on physical descriptions of a room, such as its size, shape, and surface materials. However, this reliance on geometric information limits their usability in scenarios where the room layout is unknown or when perceptual realism (ho…

Submillimeter galaxy overdensities around physically associated quasar pairs
Eileen Herwig, Fabrizio Arrigoni Battaia, Chian-Chou Chen, Aura Obreja, Marta Nowotka, Rhea-Silvia Remus, Hidenobu Yajima
https://arxiv.org/abs/2506.11193

Submillimeter galaxy overdensities around physically associated quasar pairs
A commonly employed method to detect protoclusters in the young universe is the search for overdensities of massive star forming galaxies, such as submillimeter galaxies (SMGs), around high-mass halos, including those hosting quasars. In this work, we study the Megaparsec environment surrounding nine physically associated quasar pairs between $z=2.45$ and $z=3.82$ with JCMT/SCUBA-2 observations at 450 $μ$m and 850 $μ$m covering a field of view of roughly 13.7 arcmin in diameter (or 32 Mpc$^2$…

Observatory Science with eXTP
Ping Zhou, Jirong Mao, Liang Zhang, Alessandro Patruno, Enrico Bozzo, Yanjun Xu, Andrea Santangelo, Silvia Zane, Shuang-Nan Zhang, Hua Feng, Yuri Cavecchi, Barbara De Marco, Junhui Fan, Xian Hou, Pengfei Jiang, Patrizia Romano, Gloria Sala, Lian Tao, Alexandra Veledina, Jacco Vink, Song Wang, Junxian Wang, Yidi Wang, Shanshan Weng, Qingwen Wu, Fei Xie, Guobao Zhang, Jin Zhang, Zhanhao Zhao, Shijie Zheng, Samuzal Barua, Yue-Hong Chen, Yupeng Chen, Shi-Jiang…

Observatory Science with eXTP
Scheduled for launch in 2030, the enhanced X-ray Timing and Polarization (eXTP) telescope is a Chinese space-based mission aimed at studying extreme conditions and phenomena in astrophysics. eXTP will feature three main payloads: Spectroscopy Focusing Arrays (SFAs), Polarimetry Focusing Arrays (PFAs), and a Wide-field Camera (W2C). This white paper outlines observatory science, incorporating key scientific advances and instrumental changes since the publication of the previous white paper [1]. …

J-PAS: Forecasting constraints on Neutrino Masses
Gabriel Rodrigues, Antonio J. Cuesta, Jailson Alcaniz, Miguel Aparicio Resco, Antonio L. Maroto, Manuel Masip, Jamerson G. Rodrigues, Felipe B. M. dos Santos, Javier de Cruz P\'erez, Jorge Enrique Garc\'ia-Farieta, Clarissa Siqueira, Fuxing Qin, Yuting Wang, Gong-Bo Zhao, Carlos Hern\'andez-Monteagudo, Valerio Marra, Raul Abramo, Narciso Ben\'itez, Silvia Bonoli, Saulo Carneiro, Javier Cenarro, David Crist\'obal-Horn…

J-PAS: Forecasting constraints on Neutrino Masses
The large-scale structure survey J-PAS is taking data since October 2023. In this work, we present a forecast based on the Fisher matrix method to establish its sensitivity to the sum of the neutrino masses. We adapt the Fisher Galaxy Survey Code (FARO) to account for the neutrino mass under various configurations applied to galaxy clustering measurements. This approach allows us to test the sensitivity of J-PAS to the neutrino mass across different tracers, with and without non-linear correcti…