- Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen:
Explaining dark matter halo density profiles with neural networks. CoRR abs/2305.03077 (2023) - Akhil Arora, Robert West, Martin Gerlach:
Orphan Articles: The Dark Matter of Wikipedia. CoRR abs/2306.03940 (2023) - Pinku Routaray, H. C. Das, Jeet Amrit Pattnaik, Bharat Kumar:
Dark Matter Admixed Neutron Star in the light of HESS J1731-347 and PSR J0952-0607. CoRR abs/2307.12748 (2023) - Davide Piras, Lucas Lombriser:
A representation learning approach to probe for dynamical dark energy in matter power spectra. CoRR abs/2310.10717 (2023) - Core Francisco Park, Victoria Ono, Nayantara Mudur, Yueying Ni, Carolina Cuesta-Lázaro:
Probabilistic reconstruction of Dark Matter fields from biased tracers using diffusion models. CoRR abs/2311.08558 (2023) - Martin R. Albrecht, Alex Davidson, Amit Deo, Daniel Gardham:
Crypto Dark Matter on the Torus: Oblivious PRFs from shallow PRFs and FHE. IACR Cryptol. ePrint Arch. 2023: 232 (2023) - 2022
- Abdullah Bazarov, María Benito, Gert Hütsi, Rain Kipper, Joosep Pata, Sven Põder:
Sensitivity estimation for dark matter subhalos in synthetic Gaia DR2 using deep learning. Astron. Comput. 41: 100667 (2022) - Amrutaa Vibho, R. Assaf:
Dark Matter Subhalo interpretations using machine learning: The fourth Fermi-LAT catalog. Astron. Comput. 39: 100566 (2022) - Artem Golovatiuk, Andrey Ustyuzhanin, Andrey Alexandrov, Giovanni De Lellis:
Deep Learning for direct Dark Matter search with nuclear emulsions. Comput. Phys. Commun. 275: 108312 (2022) - Jung Hee Cheon, Wonhee Cho, Jeong Han Kim, Jiseung Kim:
Adventures in crypto dark matter: attacks, fixes and analysis for weak pseudorandom functions. Des. Codes Cryptogr. 90(8): 1735-1760 (2022) - Paul H. Frampton:
Entropy of the Universe and Hierarchical Dark Matter. Entropy 24(8): 1171 (2022) - Samuele Bolotta, Guillaume Dumas:
Social Neuro AI: Social Interaction as the "Dark Matter" of AI. Frontiers Comput. Sci. 4: 846440 (2022) - Yuguo Zha, Hui Chong, Pengshuo Yang, Kang Ning:
Microbial Dark Matter: from Discovery to Applications. Genom. Proteom. Bioinform. 20(5): 867-881 (2022) - Gurdip Bakshi, John Crosby, Xiaohui Gao:
Dark Matter in (Volatility and) Equity Option Risk Premiums. Oper. Res. 70(6): 3108-3124 (2022) - Yisheng Song, Xudong Li:
Copositivity for a Class of Fourth-Order Symmetric Tensors Given by Scalar Dark Matter. J. Optim. Theory Appl. 195(1): 334-346 (2022) - Siddharth Mishra-Sharma:
Inferring dark matter substructure with astrometric lensing beyond the power spectrum. Mach. Learn. Sci. Technol. 3(1): 01 (2022) - Aqeel Ahmed, Bohdan Grzadkowski, Anna Socha:
Higgs Boson-Induced Reheating and Dark Matter Production. Symmetry 14(2): 306 (2022) - Alexander B. Balakin, Gleb B. Kiselev:
Einstein-Yang-Mills-Aether Theory with Nonlinear Axion Field: Decay of Color Aether and the Axionic Dark Matter Production. Symmetry 14(8): 1621 (2022) - Arnab Chaudhuri, Maxim Yu. Khlopov, Shiladitya Porey:
Particle Dark Matter Density and Entropy Production in the Early Universe. Symmetry 14(2): 271 (2022) - Malcolm Fairbairn:
Galactic Anomalies and Particle Dark Matter. Symmetry 14(4): 812 (2022) - Roman Nevzorov:
On the Suppression of the Dark Matter-Nucleon Scattering Cross Section in the SE6SSM. Symmetry 14(10): 2090 (2022) - Michael Perryman, Konstantin Zioutas:
Gaia, Fundamental Physics, and Dark Matter. Symmetry 14(4): 721 (2022) - Michael E. Tobar, Catriona A. Thomson, William M. Campbell, Aaron Quiskamp, Jeremy Bourhill, Ben T. McAllister, Eugene N. Ivanov, Maxim Goryachev:
Comparing Instrument Spectral Sensitivity of Dissimilar Electromagnetic Haloscopes to Axion Dark Matter and High Frequency Gravitational Waves. Symmetry 14(10): 2165 (2022) - Ke-Yun Wu, Zhao-hua Xiong:
Spin-Dependent Scattering of Scalar and Vector Dark Matter on the Electron. Symmetry 14(5): 1061 (2022) - Samuel William Pewton, Moi Hoon Yap:
Dark Corner on Skin Lesion Image Dataset: Does it matter? CVPR Workshops 2022: 4830-4838 - Xing Chen:
An Exploratory Research on the Expression of Knowledge and Its Generation Process Based on the Concept of "Dark-Matter". EJC 2022: 110-124 - Abdullah Bazarov, María Benito, Gert Hütsi, Rain Kipper, Joosep Pata, Sven Põder:
Sensitivity Estimation for Dark Matter Subhalos in Synthetic Gaia DR2 using Deep Learning. CoRR abs/2203.08161 (2022) - Luisa Lucie-Smith, Hiranya V. Peiris, Andrew Pontzen, Brian Nord, Jeyan Thiyagalingam, Davide Piras:
Discovering the building blocks of dark matter halo density profiles with neural networks. CoRR abs/2203.08827 (2022) - Tri Nguyen, Siddharth Mishra-Sharma, Reuel Williams, Lina Necib:
Uncovering dark matter density profiles in dwarf galaxies with graph neural networks. CoRR abs/2208.12825 (2022) - Helen Shao, Francisco Villaescusa-Navarro, Pablo Villanueva-Domingo, Romain Teyssier, Lehman H. Garrison, Marco Gatti, Derek Inman, Yueying Ni, Ulrich P. Steinwandel, Mihir Kulkarni, Eli Visbal, Greg L. Bryan, Daniel Angles-Alcazar, Tiago Castro, Elena Hernandez-Martinez, Klaus Dolag:
Robust field-level inference with dark matter halos. CoRR abs/2209.06843 (2022)