Recent Submissions

  • Fast and robust Bayesian inference using Gaussian processes with GPry 

    El Gammal, Jonas Elias; Schöneberg, Nils; Torrado, Jesús; Fidler, Christian (Peer reviewed; Journal article, 2023)
    We present the GPry algorithm for fast Bayesian inference of general (non-Gaussian) posteriors with a moderate number of parameters. GPry does not need any pre-training, special hardware such as GPUs, and is intended as a ...
  • Stochastic gravitational wave background from stellar origin binary black holes in LISA 

    Babak, Stanislav; Caprini, Chiara; Figueroa, Daniel G.; Karnesis, Nikolaos; Marcoccia, Paolo; Nardini, Germano; Pieroni, Mauro; Ricciardone, Angelo; Sesana, Alberto; Torrado, Jesús (Peer reviewed; Journal article, 2023)
    We use the latest constraints on the population of stellar origin binary black holes (SOBBH) from LIGO/Virgo/KAGRA (LVK) observations, to estimate the stochastic gravitational wave background (SGWB) they generate in the ...
  • Soft photon propagation in a hot and dense medium to next-to-leading order 

    Gorda, Tyler; Kurkela, Eero Aleksi; Österman, Juuso; Paatelainen, Risto; Säppi, Saga; Schicho, Philipp; Seppänen, Kaapo; Vuorinen, Aleksi (Peer reviewed; Journal article, 2023)
    We present the first complete calculation of the soft photon self-energy to the next-to-leading order in a hot and/or dense ultrarelativistic plasma in QED. The calculation is performed within the real-time formalism ...
  • Cosmology with the Laser Interferometer Space Antenna 

    Auclair, Pierre; Bacon, David; Baker, Tessa; Barreiro, Tiago; Bartolo, Nicola; Belgacem, Enis; Bellomo, Nicola; Ben-Dayan, Ido; Bertacca, Daniele; Besancon, Marc; Blanco-Pillado, Jose J.; Blas, Diego; Boileau, Guillaume; Calcagni, Gianluca; Caldwell, Robert; Caprini, Chiara; Carbone, Carmelita; Chang, Chia-Feng; Chen, Hsin-Yu; Christensen, Nelson; Clesse, Sebastien; Comelli, Denis; Congedo, Giuseppe; Contaldi, Carlo; Crisostomi, Marco; Croon, Djuna; Cui, Yanou; Cusin, Giulia; Cutting, Daniel; Dalang, Charles; De Luca, Valerio; Pozzo, Walter Del; Desjacques, Vincent; Dimastrogiovanni, Emanuela; Dorsch, Glauber C.; Ezquiaga, Jose Maria; Fasiello, Matteo; Figueroa, Daniel G.; Flauger, Raphael; Franciolini, Gabriele; Frusciante, Noemi; Fumagalli, Jacopo; García-Bellido, Juan; Gould, Oliver; Holz, Daniel; Iacconi, Laura; Jain, Rajeev Kumar; Jenkins, Alexander C.; Jinno, Ryusuke; Joana, Cristian; Karnesis, Nikolaos; Konstandin, Thomas; Koyama, Kazuya; Kozaczuk, Jonathan; Kuroyanagi, Sachiko; Laghi, Danny; Lewicki, Marek; Lombriser, Lucas; Madge, Eric; Maggiore, Michele; Malhotra, Ameek; Mancarella, Michele; Mandic, Vuk; Mangiagli, Alberto; Matarrese, Sabino; Mazumdar, Anupam; Mukherjee, Suvodip; Musco, Ilia; Nardini, Germano; No, Jose Miguel; Papanikolaou, Theodoros; Peloso, Marco; Pieroni, Mauro; Pilo, Luigi; Raccanelli, Alvise; Renaux-Petel, Sébastien; Renzini, Arianna I.; Ricciardone, Angelo; Riotto, Antonio; Romano, Joseph D.; Rollo, Rocco; Pol, Alberto Roper; Morales, Ester Ruiz; Sakellariadou, Mairi; Saltas, Ippocratis D.; Scalisi, Marco; Schmitz, Kai; Schwaller, Pedro; Sergijenko, Olga; Servant, Geraldine; Simakachorn, Peera; Sorbo, Lorenzo; Sousa, Lara; Speri, Lorenzo; Steer, Danièle A.; Tamanini, Nicola; Tasinato, Gianmassimo; Torrado, Jesús; Unal, Caner; Vennin, Vincent; Vernieri, Daniele; Vernizzi, Filippo; Volonteri, Marta; Wachter, Jeremy M.; Wands, David; Witkowski, Lukas T.; Zumalacárregui, Miguel; Annis, James; Ares, Fëanor Reuben; Avelino, Pedro P.; Avgoustidis, Anastasios; Barausse, Enrico; Bonilla, Alexander; Bonvin, Camille; Bosso, Pasquale; Calabrese, Matteo; Çalışkan, Mesut; Cembranos, Jose A. R.; Chala, Mikael; Chernoff, David; Clough, Katy; Criswell, Alexander; Das, Saurya; Silva, Antonio da; Dayal, Pratika; Domcke, Valerie; Durrer, Ruth; Easther, Richard; Escoffier, Stephanie; Ferrans, Sandrine; Fryer, Chris; Gair, Jonathan; Gordon, Chris; Hendry, Martin; Hindmarsh, Mark; Hooper, Deanna C.; Kajfasz, Eric; Kopp, Joachim; Koushiappas, Savvas M.; Kumar, Utkarsh; Kunz, Martin; Lagos, Macarena; Lilley, Marc; Lizarraga, Joanes; Lobo, Francisco S. N.; Maleknejad, Azadeh; Martins, Carlos Jose Amaro Parente; Meerburg, P. Daniel; Meyer, Renate; Mimoso, José Pedro; Nesseris, Savvas; Nunes, Nelson; Oikonomou, Vasilis; Orlando, Giorgio; Özsoy, Ogan; Pacucci, Fabio; Palmese, Antonella; Petiteau, Antoine; Pinol, Lucas; Zwart, Simon Portegies; Pratten, Geraint; Prokopec, Tomislav; Quenby, John; Rastgoo, Saeed; Roest, Diederik; Rummukainen, Kari; Schimd, Carlo; Secroun, Aurélia; Sesana, Alberto; Sopuerta, Carlos F.; Tereno, Ismael; Tolley, Andrew; Urrestilla, Jon; Vagenas, Elias C.; van de Vis, Jorinde; van de Weygaert, Rien; Wardell, Barry; Weir, David J.; White, Graham; Świeżewska, Bogumiła; Zhdanov, Valery I. (Peer reviewed; Journal article, 2023)
    The Laser Interferometer Space Antenna (LISA) has two scientific objectives of cosmological focus: to probe the expansion rate of the universe, and to understand stochastic gravitational-wave backgrounds and their implications ...
  • Ab initio study: Investigating the adsorption behaviors of polarized greenhouse gas molecules on pillar[5]arenes 

    Rauls, Eva; Ho, Quoc Duy (Peer reviewed; Journal article, 2023)
    Supramolecular organic frameworks (SOFs) based on Pillar[5]arenes (P[5]A) have shown great potential in capturing and separating greenhouse gases. In this study, we investigate the adsorption behaviors of other environmentally ...
  • Log-density gradient covariance and automatic metric tensors for Riemann manifold Monte Carlo methods 

    Kleppe, Tore Selland (Peer reviewed; Journal article, 2023)
    A metric tensor for Riemann manifold Monte Carlo particularly suited for nonlinear Bayesian hierarchical models is proposed. The metric tensor is built from symmetric positive semidefinite log-density gradient covariance ...
  • A Heterotic Kodaira--Spencer Theory at One-Loop 

    Ashmore, Anthony; Murgas Ibarra, Javier Jose; McNutt, David Duncan; Strickland-Constable, Charles; Svanes, Eirik Eik; Tennyson, David; Winje, Sander (Peer reviewed; Journal article, 2023-10)
    We consider a heterotic version of six-dimensional Kodaira-Spencer gravity derived from the heterotic superpotential. We compute the one-loop partition function and find it can be expressed as a product of holomorphic ...
  • Prevalence of bradycardia in 4876 newborns in the first minute after birth and association with positive pressure ventilation: A population-based cross-sectional study 

    Rettedal, Siren; Kibsgaard-Petersen, Amalie; Kvaløy, Jan Terje; Eilevstjønn, Joar; Ersdal, Hege Langli (Peer reviewed; Journal article, 2023)
    Objective To determine the prevalence of bradycardia in the first minute after birth and association with positive pressure ventilation (PPV). Method A population-based cross-sectional study was conducted from June 2019 ...
  • Ab-initio QCD Calculations Impact the Inference of the Neutron-star-matter Equation of State 

    Gorda, Tyler; Komoltsev, Oleg; Kurkela, Eero Aleksi (Peer reviewed; Journal article, 2023)
    We demonstrate that ab-initio calculations in QCD at high densities offer significant and nontrivial information about the equation of state of matter in the cores of neutron stars, going beyond that which is obtainable ...
  • Identification of the flux function of nonlinear conservation laws with variable parameters 

    Li, Qing; Geng, Jiahui; Evje, Steinar (Peer reviewed; Journal article, 2023-09)
    Machine learning methods have in various ways emerged as a useful tool for modeling the dynamics of physical systems in the context of partial differential equations (PDEs). Nonlinear conservation laws (NCLs) of the form ...
  • A new variational discretization technique for initial value problems bypassing governing equations 

    Rothkopf, Alexander Karl; Nordström, Jan (Peer reviewed; Journal article, 2023-03)
    Motivated by the fact that both the classical and quantum description of nature rest on causality and a variational principle, we develop a novel and highly versatile discretization prescription for classical initial value ...
  • Can cancer cells inform us about the tumor microenvironment? 

    Nævdal, Geir; Evje, Steinar (Peer reviewed; Journal article, 2023)
    Characteristics of the tumor microenvironment (TME) such as the leaky intratumoral vascular network and the density and composition of the desmoplastic extracellular matrix (ECM) contain essential information that determine ...
  • Bayesian uncertainty quantification of perturbative QCD input to the neutron-star equation of state 

    Gorda, Tyler; Komoltsev, Oleg; Kurkela, Eero Aleksi; Mazeliauskas, Aleksas (Peer reviewed; Journal article, 2023)
    The equation of state of neutron-star cores can be constrained by requiring a consistent connection to the perturbative Quantum Chromodynamics (QCD) calculations at high densities. The constraining power of the QCD input ...
  • Learning the nonlinear flux function of a hidden scalar conservation law from data 

    Li, Qing; Evje, Steinar (Peer reviewed; Journal article, 2023-10)
    Nonlinear conservation laws are widely used in fluid mechanics, biology, physics, and chemical engineering. However, deriving such nonlinear conservation laws is a significant and challenging problem. A possible attractive ...
  • New benchmarks in the modelling of X-ray atomic form factors 

    Thorkildsen, Gunnar (Peer reviewed; Journal article, 2023)
    Analytical representations of X-ray atomic form factor data have been determined. The original data, f0(s;Z), are reproduced to a high degree of accuracy. The mean absolute errors calculated for all s = sin θ/λ and Z values ...
  • No room to hide: implications of cosmic-ray upscattering for GeV-scale dark matter 

    Alvey, James; Bringmann, Torsten; Kolesova, Helena (Peer reviewed; Journal article, 2023)
    The irreducible upscattering of cold dark matter by cosmic rays opens up the intriguing possibility of detecting even light dark matter in conventional direct detection experiments or underground neutrino detectors. The ...
  • Beyond cuts in small signal scenarios: Enhanced sneutrino detectability using machine learning 

    Alvestad, Daniel; Fomin, Nikolai; Kersten, Jörn; Mæland, Steffen; Strumke, Inga (Peer reviewed; Journal article, 2023)
    We investigate enhancing the sensitivity of new physics searches at the LHC by machine learning in the case of background dominance and a high degree of overlap between the observables for signal and background. We use two ...
  • Towards learning optimized kernels for complex Langevin 

    Alvestad, Daniel; Larsen, Rasmus Normann; Rothkopf, Alexander Karl (Peer reviewed; Journal article, 2023)
    We present a novel strategy aimed at restoring correct convergence in complex Langevin simulations. The central idea is to incorporate system-specific prior knowledge into the simulations, in order to circumvent the NP-hard ...
  • Firewall black holes and echoes from an action principle 

    Abedi, Jahed (Peer reviewed; Journal article, 2023)
    It is often said that there is no gravity theory based on local action principles giving rise to firewall black hole solutions. Additionally, Guo and Mathur [Int. J. Mod. Phys. D 31, 2242009 (2022).] have cast doubt on the ...
  • Families of Proper Holomorphic Embeddings and Carleman-Type Theorem with parameters 

    Domenico Di Salvo, Giovanni; Ritter, Tyson; Wold, Erlend Fornæss (Peer reviewed; Journal article, 2023)
    We solve the problem of simultaneously embedding properly holomorphically into C2 a whole family of n-connected domains Omega_r in P1 such that none of the components of P1 \ Omega_r reduces to a point, by constructing a ...

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