| Title | Darkness to Bind Them |
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| Contributor | David H. Silver(author) |
| DOI | https://doi.org/10.11647/OBP.0526.37 |
| Landing page | https://www.openbookpublishers.com/books/10.11647/obp.0526/chapters/10.11647/obp.0526.37 |
| License | https://creativecommons.org/licenses/by-nc/4.0/ |
| Copyright | David H. Silver |
| Publisher | Open Book Publishers |
| Published on | 2026-04-08 |
| Long abstract | Dark matter’s existence is inferred through multiple independent lines of evidence spanning different cosmic scales. Galaxy rotation curves remain flat far beyond visible matter, indicating extended gravitational influence. Galaxy clusters contain hot gas whose temperature and confinement require gravitational potentials deeper than visible matter can provide. Gravitational lensing reveals mass distributions exceeding luminous components, particularly in systems like the Bullet Cluster where dark and visible matter separate during collisions. The cosmic microwave background’s fluctuation patterns indicate that ordinary matter comprises only 15% of the total matter content needed to match observations, with the remainder consisting of non-baryonic material already present before photon-matter decoupling. |
| Print length | 10 pages |
| Language | English (Original) |
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| Landing Page | Full text URL | Platform | |||
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| https://www.openbookpublishers.com/books/10.11647/obp.0526/chapters/10.11647/obp.0526.37 | Landing page | https://books.openbookpublishers.com/10.11647/obp.0526.37.pdf | Full text URL |
David H. Silver is an industrial researcher whose career bridges computer vision, computational biology, and science communication. He studied mathematics, computer science, and biology at the Technion — Israel Institute of Technology as a Rothschild Scholar, and was awarded a Microsoft Research PhD Fellowship for his doctoral work in computational biology at Cambridge, UK. Silver’s peer-reviewed publications span multiple domains: computational biology in Nature and PNAS; computer vision systems in IEEE Transactions on Pattern Analysis and Machine Intelligence; medical AI in Human Reproduction and MIDL; and entertainment analysis in PLoS One. He holds over a dozen patents in depth sensing, medical imaging, and generative AI. His industry positions include Algorithm Engineer at Intel Corporation, ML Researcher at Apple, and CTO/co-founder roles at several technology startups. Silver maintains academic collaborations with researchers worldwide and serves as a peer reviewer for Image and Vision Computing and PNAS.