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Suppose we observe a random vector X from some distribution in a known family with unknown parameters. We ask the following question: when is it possible to split X into two pieces f(X) and g(X) such that neither part is sufficient to reconstruct X by itself, but both together can recover X fully, and their joint distribution is tractable? One common solution to this problem when multiple samples of X are observed is data splitting, but Rasines and Young offers an alternative approach that uses additive Gaussian noise—this enables post-selection inference in finite samples for Gaussian distributed data and asymptotically when errors are non-Gaussian. In this article, we offer a more general methodology for achieving such a split in finite samples by borrowing ideas from Bayesian inference to yield a (frequentist) solution that can be viewed as a continuous analog of data splitting. We call our method data fission, as an alternative to data splitting, data carving and p-value masking. We exemplify the method on several prototypical applications, such as post-selection inference for trend filtering and other regression problems, and effect size estimation after interactive multiple testing. Supplementary materials for this article are available online.
The attached data are apatite and zircon fission track measurements from rock samples collected across the western Brooks Range. Table 1 contains descriptive information on each sample. Tables 2a, 2b, 2c, 2d and 2e contain single grain, apatite fission track age data for samples from each of five datasets that comprise the overall apatite fission track age dataset. Tables 3a, 3b, 3c, and 3d contain apatite fission track length data for samples from four of the five datasets that comprise the overall apatite fission track length dataset. The oldest of the five datasets has no accompanying track length data. Table 4 contains summary information for each of the apatite fission track age samples. Table 5 contains summary information for each of the apatite fission track length samples. Tables 6a and 6b contain single grain, zircon fission track age data for samples from each of two datasets that comprise the overall zircon fission track dataset. Table 7 contains summary information for the zircon fission track age data.
This data set contains fission track data and associated ages of apatite from igneous and sedimentary rocks, U-Pb isotopic data and associated ages of zircon from a subset of the igneous rock samples, and U-Pb isotopic data and associated ages of detrital zircon from a subset of the sedimentary rock samples. All samples were collected from the region surrounding Lake Clark and Lake Iliamna in southwestern Alaska. All samples were collected as part of geological mapping and research conducted in 2008 and funded by the U.S. Geological Survey Mineral Resources External Research Program. Apatite and zircon grains were separated and analyzed by Apatite to Zircon, Inc. (A2Z). All analyses were conducted in 2009 using standard fission track dating techniques and laser-ablation-inductively-coupled-plasma-mass spectrometry (LA-ICP-MS) techniques
List of sample locations and fission track data produced at the University of Arizona under NSF Proposal 1917009 "Collaborative Research: ICe sheet erosional Interaction with Hot geotherm (ICI-Hot) in West Antarctica
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Values on cumulative fission yields for the Xenon isotopes 131Xe, 131mXe, 133Xe, 133mXe, 135Xe and 135mXe were compiled from the nuclear data libraries ENDF/B-VIII.0, JEFF-3.3 and JENDL-4.0, available via the Nuclear Data Services of the the International Atomic Energy Agency. This dataset lists the collected values and their uncertainties as reported.
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Supplemental Data Files for a submission to Geosciences, "Using Fission-Track Radiography Coupled with Scanning Electron Microscopy for Efficient Identification of Solid-Phase Uranium Mineralogy at a Former Uranium Pilot Mill (Grand Junction, Colorado)"
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All sampling regimes (number of individuals and number of observations per individual) where there was sufficient evidence to detect community structure in at least half of all 100 replicates.
FOR INTENSITIES ABOUT 10**5 PER SECOND BEAM CURRENTS WERE MONITORED DIRECTLY,AT HIGHER INTENSITIES THE CALIBRATION WAS PERFORMED RELATIVE TO THE REACTION PAL --& gt; 3P N NA24 WITH SIG=105 +- 0.7 MB FROM R = ANNU.REV. NUCL.SCI.13.261(1963 ).
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Apatite fission track (AFT) single-grain and confined length data and elemental geochemistry data for samples analysed in this study. Secondary standard data from parallel analysis of Durango apatite in analytical sessions is additionally provided.
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This dataset summarizes the apatite fission-track (AFT) data for 24 samples and zircon fission-track (ZFT) data for 11 samples. Single-grain data for AFT and ZFT are presented in Table S4 and Table S5, respectively. AFT and ZFT data were acquired between 2020 and 2021 using the external detector and zeta-calibration techniques at the University of Tübingen, Germany.
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Legacy product - no abstract available
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This dataset includes the processed data of the fast neutron-induced fission of Pu(242) experiement performed in November 2014 at the neutron time-of-flight facility nELBE which was published in T. Kögler et al., Phys. Rev. C 99, 024604
It contains the absolute (Pu242_nfis_Koegler_2019.csv) and relative (Pu242_U235_nfis_Koegler_2019.csv) cross section data ranging from 0.5 MeV to 10 MeV. The cross section data is given in comma separated ASCII files, as well as in a MS Excel-Sheet.
The columns of the tables are defined as follows:
Additionally, a root (see https://root.cern.ch/) file is supplied, including the determined cross sections and all nessessary data to reconstruct the experiment. This includes the measured quantities, reference data, correction factors, evaluated cross sections etc.
To have the whole functionality of the root file, additional libary files (libGo4UserAnalysis.rootmap, libGo4UserAnalysis.so and libGo4UserAnalysis_rdict.pcm) are also given here.
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This data includes the 3-D pin-wise fission rate distribution for the BEAVRS benchmark calculated from Serpent and RAPID. Meanwhile, we also attach the R code to analyze the 2-D pin-wise RMS error, the 3-D pin-wise RMS error and the k-effective difference between results from RAPID and Serpent
Leveraging insights gained from the weapons physics program, a Z-Pinch device could be used to ignite a thermonuclear deuterium trigger, which could provide a radical improvement in our ability to explore destinations across the solar system and beyond.
Fission-ignited fusion systems have been operational – in weapon form – since the 1950's. Leveraging insights gained from the weapons physics program, a Z-Pinch device could be used to ignite a thermonuclear deuterium trigger. The fusion neutrons will induce fission reaction in a surrounding uranium or thorium liner, releasing sufficient energy to further confine and heat the fusion plasma. The combined energy release from fission and fusion would then be directed using a magnetic nozzle to produce useful thrust. This type of concept could provide the efficiency of open cycle fusion propulsion devices with the relative small size and simplicity of fission systems; and would provide a radical improvement in our ability to explore destinations across the solar system and beyond.
Pulsed Fission-Fusion (PuFF) is a two-stage compression system consisting of a z-pinch and field-reversed configuration.
Fission-fusion events, i.e. changes to the size and composition of animal social groups, are a mechanism to adjust the social environment in response to short-term changes in the cost-benefit ratio of group living. Furthermore, the time and location of fission-fusion events provide insight into the underlying drivers of these dynamics. Here, we describe a method for identifying group membership over time and for extracting fission-fusion events from animal tracking data. We applied this method to high-resolution GPS data of free-ranging sheep (Ovis aries). Group size was highest during times when sheep typically rest (mid-day and at night), and when anti-predator benefits of grouping are high while costs of competition are low. Consistent with this, fission and fusion frequencies were highest during early morning and late evening, suggesting that social restructuring occurs during periods of high activity. However, fission and fusion events were not more frequent near food patches and w...
This data release contains apatite and zircon U/Pb and fission track data for six samples collected along the Fall Line of the southeastern United States, from Virginia to the Georgia-South Carolina border. The data resolve phases of rapid exhumational cooling in the Permo-Triassic, additional cooling in the Jurassic-Early Cretaceous and slower cooling since the middle of the Cretaceous. The data are also compatible with an episode of burial/magmatic heating in the Triassic-Jurassic. Overall, these data may explain the lack of preserved Upper Jurassic-earliest Cretaceous strata beneath onshore areas of the southeastern United States.
THE MEASUREMENTS WERE PERFORMED AT THE SATURNE II SYNCHROTRON FACILITY AT SACLAY. THE EXPERIMENTAL SET-UP CONSISTED OF A TIME-OF-FLIGHT TELESCOPE TO DETERMINE VELOCITY, ENERGY AND MASS OF FRAGMENT 1 AND A POSITION SENSITIVE PARALLEL-PLATE AVALANCHE COUNTER TO MEASURE THE ANGULAR CORRELATION AND VELOCITY OF THE COINCIDENT FRAGMENT 2.
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This dataset contains 447 single-grain data for 24 samples acquired for apatite fission-track (AFT) dating. AFT data were acquired between 2020 and 2021 using the external detector and zeta-calibration techniques at the University of Tübingen, Germany.
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Values on cumulative fission yields for the Xenon isotopes 131Xe, 131mXe, 133Xe, 133mXe, 135Xe and 135mXe were compiled from the nuclear data libraries ENDF/B-VIII.0, GEFY-8.1, JEFF-3.3 and JENDL-4.0, partly available via the Nuclear Data Services of the the International Atomic Energy Agency. This dataset lists the collected values and their uncertainties as reported.
No description is available. Visit https://dataone.org/datasets/55ce5df63877ce24028daeeac9471f87 for complete metadata about this dataset.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
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Suppose we observe a random vector X from some distribution in a known family with unknown parameters. We ask the following question: when is it possible to split X into two pieces f(X) and g(X) such that neither part is sufficient to reconstruct X by itself, but both together can recover X fully, and their joint distribution is tractable? One common solution to this problem when multiple samples of X are observed is data splitting, but Rasines and Young offers an alternative approach that uses additive Gaussian noise—this enables post-selection inference in finite samples for Gaussian distributed data and asymptotically when errors are non-Gaussian. In this article, we offer a more general methodology for achieving such a split in finite samples by borrowing ideas from Bayesian inference to yield a (frequentist) solution that can be viewed as a continuous analog of data splitting. We call our method data fission, as an alternative to data splitting, data carving and p-value masking. We exemplify the method on several prototypical applications, such as post-selection inference for trend filtering and other regression problems, and effect size estimation after interactive multiple testing. Supplementary materials for this article are available online.