Create accountLogin

Recent searches

No recent searches

Search options

Only available when logged in.
eupolicy.social is one of the many independent Mastodon servers you can use to participate in the fediverse.
This Mastodon server is a friendly and respectful discussion space for people working in areas related to EU policy. When you request to create an account, please tell us something about you.

Administered by:

Server stats:

223
active users

eupolicy.social: AboutProfiles directoryPrivacy policy

Mastodon: AboutGet the appKeyboard shortcutsView source codev4.3.6

#tomography

0 posts0 participants0 posts today
Public
Daniel Pomarède

New paper, just published in Physical Review X Energy, on the muography of the G3 nuclear reactor

by Baptiste Lefevre and co-authors
doi.org/10.1103/PRXEnergy.4.01

The visualization software I developed for #Cosmology contributed in the mapping of the inner, inaccessible structure of the reactor.

▶️ see the video and interactive visualization here: journals.aps.org/prxenergy/abs

A screenshot captured on the frontpage of the Physical Review X Energy webpage showing an article thumbnail image, title, summary and other details. Title reads "3D Reconstruction of a Nuclear Reactor by Muon Tomography: Structure Validation and Anomaly Detection". Summary reads "Muon tomography, a non-invasive technique that can be used to image large, inaccessible structures, is combined with machine learning to create a 3D reconstruction of a historical nuclear reactor that reveals material density variations, including potential anomalies in the graphite core." Dated 28 January, 2025. Thumbnail image shows a 3D reconstructions and slices of the density field of the reactor.
A screenshot of a figure of the article, featuring a black on white technical drawing mixed with a colorful 3D visualization. Captions reads "3D visualization of the postprocessing of SART’s real data reconstruction, showing an isosurface of the density field 𝑑 =1.5 together with a 𝑦 =0 slice and the corresponding technical drawing. This 3D visualization is complemented by a video in Supplemental Material".
A screenshot of a figure of the article, featuring a colorful 3D visualization against a white background. Caption reads "3D visualization of the postprocessing of SART’s real data reconstruction, showing an isosurface of 𝑑 =1.5 together with 𝑦 =0 and 𝑧 =0 slices. This three-dimensional rendering of the density field is complemented by an interactive 3D visualization in Supplemental Material".
#Physics#Muography#Nuclear
Public *
💧🌏 Greg Cocks

Atop The Oregon Cascades, [Research] Team Finds A Huge Buried Aquifer
--
eurekalert.org/news-releases/1 <-- shared technical article
--
doi.org/10.1073/pnas.241515512 <-- shared paper
--
usgs.gov/centers/oregon-water- <-- shared USGS technical article, 2011, ‘McKenzie River Source Water Study’
--
youtu.be/6R8e5HwGMwU?si=sniW4b <-- shared media video overview
--
#GIS #spatial #mapping #model #modeling #water #hydrology #Oregon #Cascades #CascadeMountains #PNW #PacificNorthwest #volcanic #rocks #aquifer #waterresources #watermanagement #climatechange #snowpack #drought #spatialanalysis #CriticalZone #geohazards #geology #engineeringgeology #landscapes #weathering #bedrock #holocene #groundwater #structuralgeology #orogeny #remotesensing #geophysics #sampling #drilling #porosity #permability #tomography #lava #spring #seep #breccia #discharge #streams #runoff #precipitation #climate #rainfall #recharge

photo - Scientists examine a large-volume spring in young volcanic rocks of the McKenzie River watershed on the west side of the Cascade topographic crest that was monitored as part of this study. Credit: Benjamin Nash
map, photo and charts - (A) Electrical resistivity tomography of Olallie North Spring, which emerges along a flow contact of _25 ka Scott Mountain lava flows. Lateral variations correspond to spring discharge points along the lava flow basal breccia such as depicted in (B) (photo: Benjamin Nash). (C) Mean of total yearly range in discharge _Q divided by mean annual flow Qavg versus average upstream age for springs and streams. The horizontal line defines “spring-” versus “runoff-” dominated. (D) SD of yearly average summer discharge (June–September), normalized by Qavg, with CZ state shift labeled.
maps and chart - (A) Distribution of geothermal drill holes. Thin black circles’ radii scale with total logged length, and colors indicate the fraction of length for which dT=dz < 20_C/km (implying downward flux of meteoric water). Red circles are the fraction with inverted gradients (dT=dz < 0_C/km). The purple contour indicates bedrock ages <2 Ma, while stars mark Holocene age phreatomagmatic eruption vents. (B) Two example temperature-depth logs from deep wells in old and young bedrock. (C) Porosity (blue) and resistivity (orange) in the Santiam Pass drill hole SP 77-24. Dashed lines indicate low porosity at high measured resistivity. (D) Chemical weathering tracked by oxidation state of iron in the Santiam Pass drill hole. The green box indicates range of Quaternary High Cascades lavas (SI Appendix), indicating that much of the SP 77-24 hole has been oxidized.
maps and cross section - Oregon Cascades study site. (A) Topography, rivers (from USGS blue lines), stream gauges, lakes, and faults. Olallie North Spring (ONS) and HJ Andrews Experimental Forest (HJA) are labeled. (B) Surface bedrock ages (18), geothermal drill holes, and Quaternary volcanic vents (19). Labeled vents exhibited Holocene phreatomagmatic activity: Sand Mountain volcanic field (SMF), Blue Lake Crater (BLC), Twin Craters (TC). Gray areas are mapped as “Sedimentary deposits and rocks” in ref. 18. (C) Cross-section of swath topography and surface bedrock ages (N-S average of _4 km from Santiam Pass, pink box in panel A), with subsurface structures based on published geologic maps (SI Appendix). The proposed Critical Zone (CZ) state shift and physiographic “Western” and “High” Cascade provinces are labeled. (D) Temperature gradient versus depth in drill holes from panel (C). Near-isothermal or inverted temperature gradients define the “rain curtain.”
Public
Bytes Europe

New AI techniques improve tumor detection in PET and CT scans byteseu.com/615543/ #AI #ArtificialIntelligence #Cancer #ComputedTomography #ct #DeepLearning #Hospital #Imaging #ImagingTechniques #MachineLearning #PositronEmissionTomography #Technology #Tomography #Tumor

Bytes Europe · New AI techniques improve tumor detection in PET and CT scansArtificial intelligence has the potential to improve the analysis of medical image data. For example, algorithms based on deep learning can determine the location and size of tumors. This is the result of AutoPET, an international competition in medical image analysis, where researchers of Karlsruhe Institute of Technology (KIT) were ranked fifth. The seven best autoPET teams report in the journal Nature Machine Intelligence on how algorithms can detect tumor lesions in positron emission tomography (PET) and computed tomography (CT). (DOI: 10.1038/s42256-024-00912-9) Imaging techniques play a key role in the diagnosis of cancer. Precisely determining the location, size, and type
Continued thread
Public *
Markus Osterhoff

Hello World,
I'm Markus Osterhoff, physicist at the Institute for X-ray Physics.
We build and use #Xray microscopes (laboratory sources as well as large scale research facilities such as
@DESY or ESRF in Grenoble) for high-resolution x-ray #tomography, and we develop new methods for biomedical #imaging.
For that, we collaborate e.g. with the University Medical Center Göttingen.
Here, you will find some insights into our teaching and research activities.

ExploreLive feeds
About