Articles tagged with Dark Matter
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Researchers found far more small-scale dark matter gravitational lenses in galaxy clusters than predicted by standard cosmology. The discovery suggests either an issue with simulation methods or incorrect assumptions about dark matter's nature.
Astronomers have discovered a discrepancy between theoretical models and Hubble observations of galaxy clusters, suggesting a potential gap in our understanding of dark matter. The study used unprecedentedly detailed observations to map the distribution of dark matter on small scales.
A study led by UC Riverside physicist Hai-Bo Yu suggests that the self-interacting dark matter theory explains why two galaxies contain less dark matter than expected. The researchers used sophisticated simulations to show that tidal stripping of the satellite galaxies' mass can occur, leading to a decrease in dark matter content.
A recent study published in Nature has zoomed in on dark matter haloes of varying masses, revealing a surprising similarity in their internal structure. The research team used supercomputers to simulate the evolution of the universe and found that even small haloes have dense centers and spread-out outer regions.
The study found that small dark matter haloes have a similar internal structure to larger ones, with smaller clumps orbiting in their outer regions. This could help identify these small objects individually or collectively through future gamma-ray observatories.
Researchers have eliminated dark matter candidates as the origin of excess gamma rays detected in the Milky Way's galaxy center through extensive modeling exercises. The study puts strongest constraints yet on dark matter properties, ruling out weakly interacting massive particles up to very high-mass particles.
A multidisciplinary research team found that low-level ionizing radiation degrades superconducting qubit performance. To maintain coherence and achieve practical quantum computing, radiation shielding will be necessary. Researchers emphasize the need to exclude radiation-emitting materials and consider underground experimental setups.
Researchers at Johannes Gutenberg University Mainz developed a new zero-to-ultralow-field NMR spectroscopy method to analyze chemical reactions in metal containers. This technique overcomes the limitations of high-field NMR, allowing for the observation of complex reactions and catalysis mechanisms.
Physicist Hai-Bo Yu at UC Riverside has been awarded a three-year grant to study Self-Interacting Dark Matter, a new theory that posits dark matter particles have strong self-interactions. The project aims to improve our understanding of dark matter and its role in galaxy distributions.
Researchers propose a kinetic misalignment scenario that strengthens the axion/dark matter equivalence. This novel concept answers key questions and provides new avenues for detection efforts.
The XENON1T experiment has observed a surprising excess of 53 events over expected backgrounds, sparking theories on potential sources such as tritium, axions, or altered neutrino properties. The solar axion hypothesis holds the most significance at 3.5 sigma, while other explanations remain consistent with data.
Researchers at Caltech propose a new approach to detecting dark matter using lighter-weight particles that can interact with magnons, excited electron spins. They suggest cooling equipment and moving it underground to detect these interactions.
A recent study found that cell phones and shoes harbor distinct communities of microbes, with shoes displaying greater diversity. The research also uncovered a substantial proportion of 'microbial dark matter' groups, previously unexplored in lab settings.
JGU is welcoming renowned physicist Gilad Perez to Mainz to tackle the mystery of dark matter. His research aims to identify the nature of dark matter and develop innovative detection methods in the laboratory.
The HHU physicists conducted a precision experiment to measure the electrical force between protons and deuterons using HD+ ions. They found no evidence of an interaction with dark matter, pushing down the upper limit of such interactions more than 20-fold.
Researchers propose refocusing dark matter detector efforts to seek out newly suggested types of dark matter signals that may have been overlooked. This includes absorption-related processes and energy signatures in the MeV range, which could be more common than previously detected signals.
Researchers at ICFO have successfully searched for axions, hypothetical particles thought to make up 80% of the universe's mass, using a new technique involving Bose-Einstein condensates. The study confirms the ability to detect short-range spin-dependent forces with much shorter ranges than previous experiments.
Researchers from KIT participate in the Belle II accelerator experiment to enhance understanding of dark matter in the universe. They have now limited mass and coupling strengths of the Z' boson with previously unattainable accuracy using initial data collected during the startup phase.
Researchers used satellite galaxies Draco and Fornax to test the self-interacting dark matter (SIDM) model, which explains diverse dark matter distributions. SIDM produces novel signatures in subhalos that differ from the prevailing Cold Dark Matter theory.
Physicists Rees McNally and Tanya Zelevinsky have proposed two novel methods of searching for dark matter by measuring tiny perturbations in fundamental constants. These methods involve using gravity sensors and LIGO gravitational wave detectors to detect a small extra 'push' or acceleration on normal matter caused by dark matter clumps.
The Belle II experiment has analyzed a small amount of data collected during the start-up phase of SuperKEKB in 2018. The analysis did not provide any indication of the Z' boson, but it did limit the mass and coupling strengths of the particle with previously unattainable accuracy. This result does not rule out the existence of the Z' ...
Researchers have found a connection between the size and structure of galaxies and dark matter halos, using observations of faint galaxies around the Milky Way. They also discovered more evidence for the existence of Large Magellanic Cloud satellite galaxies, predicting an additional 150 or more very faint satellites awaiting discovery.
A new study from the University of Michigan and Lawrence Berkeley National Laboratory has found no evidence that sterile neutrinos are dark matter. The research team used archival data from the XMM-Newton space X-ray telescope to search for signs of dark matter in the Milky Way galaxy, but their analysis yielded no results.
Researchers used XMM-Newton space telescope data to search for a 3.5 keV X-ray emission line, a predicted signature of dark matter decay. No evidence was found, ruling out the signal strength by over an order of magnitude and challenging previous interpretations.
Researchers develop new technique to analyze X-ray telescope observations of 'empty' space within Milky Way galaxy, finding no evidence for 3.5 keV line associated with dark matter decay. The study's results limit simple models of dark matter and pave the way for future discoveries.
Researchers used a computer algorithm inspired by slime mould to create a three-dimensional map of the cosmic web structure in the local Universe. The analysis revealed that intergalactic gas is organised into filaments and detected at distances over 10 million light-years from galaxies.
Researchers at Institute for Basic Science (IBS) in South Korea have reported the first high-sensitivity results of their axion dark matter search. They used a custom-made CAPP-8TB haloscope to detect potential axions, finding no evidence within a specific mass range.
Researchers use a Physarum-based algorithm to visualize the cosmic web's filaments, connecting galaxies and diffuse hydrogen gas. The model replicates the distribution of dark matter on large scales, providing a new tool for understanding the universe's structure.
Researchers have found the first direct correlation between dark matter and gamma rays in the universe. The study used gamma ray data from Fermi Large Area Telescope and mapped it with weak gravitational lensing, providing insights into the nature of dark matter and its potential connection to gamma ray emissions.
Researchers suggest that axionic dark matter surrounding compact stars can prevent catastrophic magnetic field losses while allowing for abnormal rotation. This theory provides an alternative to previous understanding of rapidly rotating objects with strong magnetic fields.
Laura Sales, an assistant professor at UC Riverside, has received a $720,000 NSF CAREER Award to study dark matter content in dwarf galaxies. Her research aims to refine the Lambda Cold Dark Matter model and address questions about galaxy formation and evolution.
Researchers at the University of California, Davis used gravitational lensing to study dark matter's properties. They found that dark matter particles could be lighter and more rapidly-moving, which may affect galaxy formation.
Researchers discovered a correlation between the unresolved gamma-ray background and matter distribution in the distant universe, suggesting that dark matter could be a source of the faint cosmic glow. The study used data from the Dark Energy Survey and Fermi Gamma-ray Space Telescope to analyze the correlation.
The NSF Vera C. Rubin Observatory will conduct a vast astronomical survey, mapping the Milky Way and probing dark energy and dark matter. Vera Rubin's groundbreaking work uncovered the existence of dark matter, making this observatory a fitting tribute to her legacy.
Researchers analyzed rotation curves of low-surface-brightness galaxies to discover a universal relationship describing dark matter's distribution. This result consolidates clues on dark matter's presence and behavior, opening up new scenarios for interactions with bright matter.
A study published in Nature Astronomy found 19 dwarf galaxies dominated by baryons at radii beyond their half-optical radius, challenging standard galaxy formation models. The results encourage a reevaluation of dark matter's nature.
The James Webb Space Telescope will study dwarf galaxy companions to the Milky Way and Andromeda, gaining insights into galaxy formation and dark matter. By measuring star motions, researchers hope to determine if some galaxies are grouped in a flat plane, which would have significant implications for understanding their formation.
Researchers analyzed 1418 galaxies and found small ones spin differently than large ones. The alignment changes as galaxies collide and merge with others, gaining mass. The study offers insight into the deep structure of the universe and how galaxies form.
Scientists explore how dark matter influences antimatter, searching for clues that could link the two aspects of the universe. They use captured antiprotons to detect changes in spin precession frequency, which could indicate dark matter's presence.
Scientists investigate potential connection between antimatter and dark matter using laboratory experiments. They found no difference in interaction, setting new limits on fundamental physics.
WFIRST's wide-field surveys will study galaxy distributions and dark matter effects, providing new insight into its fundamental nature. The mission aims to fill gaps in understanding dark matter, tracing its role in galaxy formation and evolution.
Researchers at University of California, Riverside discover that Milky Way is undergoing a massive merger with its largest satellite galaxy, the Large Magellanic Cloud. Several ultrafaint dwarfs and relatively bright satellite galaxies were likely stolen from LMC.
Researchers propose a novel method to search for dark matter by harnessing the power of plasmas and magnetic fields. This approach, known as axion plasma haloscopes, enables the detection of dark matter in previously unexplored areas. By tuning into specific frequencies, scientists may uncover evidence of this elusive substance.
A team led by Prof Swati Singh is exploring the use of quantum systems to study astrophysical phenomena. They are developing smaller detectors that can be used to detect weak forces exerted by dark matter and gravitational waves, which could provide new insights into these mysteries.
Physicists at Mainz University have developed a new method to detect dark matter using cesium atom vapor and atomic spectroscopy. By searching in a previously inaccessible frequency range, they were able to formulate new restrictions on the nature of dark matter.
Researchers simulated galaxy formation in a 'fuzzy' universe, where dark matter is ultralight and quantum-waves-like. The simulation suggests galaxies would form in extended filaments with striated patterns, potentially illuminating the type of dark matter present today.
A team of researchers, led by Hagit Shatkay, is developing computational methods to accelerate discovery in astroparticle physics, a crucial step towards understanding dark matter. By analyzing noisy sensor data from an underground experiment, the team aims to detect and identify dark-matter particles.
Rice astroparticle physicist Christopher Tunnell leads a $1 million NSF-funded project to enhance data science techniques in physical sciences, aiming to push discovery past the tipping point. The study focuses on dark matter searches and employs probabilistic graphical models to improve measurements of particle interactions.
Researchers used machine learning algorithms to analyze dark matter maps, achieving 30% more accurate results than traditional methods. The AI was trained on simulated data and applied to actual KiDS-450 dataset, showing promising potential for future cosmological applications.
Researchers propose using gravitational-wave observatories to detect axions, which could be a type of dark matter. Axions are predicted to modulate light polarization and can be detected with existing laser-based experiments, offering a cost-effective solution to the hunt for dark matter.
Scientists have made progress in understanding dark matter by studying the interactions between light and gas in intergalactic space. Researchers used simulations and observations of distant quasars to analyze the properties of primordial black holes, which could provide evidence for their role in explaining dark matter.
A University of Arizona-led team used supercomputer simulations to generate millions of virtual universes, challenging fundamental ideas about galaxy formation and the role of dark matter. The findings suggest galaxies formed stars more efficiently in the early universe than previously thought.
A new Johns Hopkins University study proposes that dark matter may have originated before the Big Bang, citing a connection between particle physics and astronomy. The research suggests that dark matter's existence could be revealed through its gravitational effects on galaxy distributions.
A tabletop sensor will detect cosmic events producing waves above 10 kHz, possibly related to dark matter. The Levitated Sensor Detector complements LIGO and Virgo observatories, observing smaller cosmic events that produce gravitational waves at higher frequencies.
Researchers at Mainz University have developed a new method to detect axions, a type of dark matter, using the Cosmic Axion Spin Precession Experiment (CASPEr) program. By exploiting nuclear magnetic resonance and sophisticated shielding, the team aims to identify spin changes caused by dark matter, which can be distinguished from thos...
A study by RIT scientist Sukanya Chakrabarti found that the Antlia 2 dwarf galaxy's collision with the Milky Way produced the characteristic ripples in its outer disc. The discovery could help develop methods to hunt for dark galaxies and solve the long-standing puzzle of dark matter.
Researchers at UC Davis have found a new candidate for dark matter, a magnetic monopole particle that could interact with 'dark photons'. This new theory offers a potential way to detect dark matter particles streaming through the universe. However, the predicted phase shift is extremely small, making detection challenging.
A team of researchers from Instituto de Astrofísica de Canarias solved the mystery of a galaxy without dark matter by reevaluating its distance. The galaxy was previously estimated to be 64 million light years away, but new measurements reveal it's actually around 42 million light years from Earth.
A team of researchers developed CosmoGAN, a deep learning network that generates high-fidelity convergence maps for weak gravitational lensing. The model achieves high statistical agreement with fully simulated maps, paving the way for building emulators out of deep neural networks.
Researchers have developed a new filter to better map the dark universe, cutting through galaxies' messy emissions to provide clearer windows into dark matter and dark energy. The new method uses shearing effects to reduce errors and provides more accurate measurements.