The ENDF/B-VIII.0 Compendium Volume III: Radioactive Decay Plots
Plots of radioactive decay particles (energy vs. probability of emission) for 1,645 isotopes with discrete emissions are presented in Volume III.
07 ISOTOPE AND RADIATION SOURCES↗
SEARCH · Engineering Papers
Results for “Plot”
Search indexed NASA NTRS and DOE OSTI research on propulsion, heat transfer, battery materials and energy systems. Follow report and document links to the original sources.
Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.
Characterizing Heat Transfer in sCO 2 Cycle Coolers Utilizing the Wilson Plot Technique
Effective design of coolers can decrease the capital expense of supercritical carbon dioxide (sCO 2 ) power plants. Improved datasets reporting heat transfer from the CO 2 in the cycle cooler allow design engineers to calculate the required length of heat exchanger streams more accurately, thus reducing cooler material and heat exchanger cost. This study considered a shell-and-tube heat exchanger with non-condensing CO 2 on the tube side and water flow on the shell side. The average Nusselt number on the tube side was measured employing the Wilson plot technique for a flow at a Reynolds number, Re, equal to 1×10 5 and for a heat flux to mass flux ratio, Q"/G, ranging from 50 to 350 J/kg. The results indicate that the Nusselt number, Nu, increases as the CO 2 pressure decreases towards the critical point. The results also indicate that Nu increases to maximum at Q"/G = 215 J/kg and then decreases with further increases in Q"/G. The difference in Nu measured between the horizontal and vertical heat exchanger with downward flowing CO 2 is less than the experimental error.
20 FOSSIL-FUELED POWER PLANTS↗
Surveillance of Site A and Plot M: Report for 2021
The results of the environmental surveillance program conducted at Site A/Plot M for calendar year 2021 are presented within this document. Site A/Plot M is in the Palos Area Preserves, operated by the Forest Preserve District of Cook County. The surveillance program consists of the collection and analysis of surface and groundwater samples to determine the amount of hydrogen-3 and strontium-90 present in the environment within and surrounding the site of the former research facility (Site A) and waste burial site (Plot M).
54 ENVIRONMENTAL SCIENCES↗
Study of Shadowing in Beta-Gamma Coincidence Plots for Radioxenon
This document describes a study of the cause of shadowing observed in certain beta-gamma plots produced with beta-gamma coincidence detectors for detection of radioxenon. Beta-gamma detectors must possess adequate resolution to allow for the metastable isotopes 131m Xe and 133m Xe to be distinguished from each other and from 133 Xe. One effect that can minimize the ability to distinguish the metastables from 133 Xe is the shadowing effect, in which a band of high-energy signal is present in addition to the primary signal. A study was performed to determine the cause of the shadowing, and how to minimize the effect of the shadowing on an individual beta cell. Through this study, it is determined that the shadowing results from a difference in light transmission between the dome and end-cap portions of the beta cell. Consequently, it is not possible to remove the shadowing during the beta cell manufacturing process. The shadowing must be minimized by preferentially matching the light output from the end-cap and dome portion prior to the manufacturing process.
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND ↗
Surveillance of Site A and Plot M (Report for 2022)
The results of the environmental surveillance program conducted at Site A/Plot M for calendar year (CY) 2022 are presented within this document. Site A/Plot M is in the Palos Area Preserves, operated by the Forest Preserve District of Cook County. The surveillance program consists of the collection and analysis of surface and groundwater samples to determine the amount of hydrogen-3 and strontium-90 present in the environment within and surrounding the site of the former research facility (Site A) and waste burial site (Plot M).
12 MANAGEMENT OF RADIOACTIVE AND NON-RADIOACTIVE W↗
Site A and Plot M 2023 Surveillance Report and 2024 Inspection Report
This report is prepared for the U. S. Department of Energy (DOE) Office of Legacy Management (DOE-LM) by the Worker Safety & Environment (WSE) Division at Argonne National Laboratory (Argonne). Beginning in 2024, Argonne drafted a combined report containing the annual inspection results for the current year and the annual surveillance data/discussion from the previous year. The annual inspection results will be contained within an appendix at the end of the surveillance report. The results of the environmental monitoring program at Site A and Plot M and an assessment of the impact of the site on the environment and the public are presented in this publication as well as findings and assigned corrective actions as a result of the Site A/Plot M annual inspection. Funding to support this program was provided by DOE-LM.
54 ENVIRONMENTAL SCIENCES↗
Site A and Plot M 2024 Surveillance Report and 2025 Inspection Report
The results of the environmental surveillance program conducted at Site A/Plot M for calendar year (CY) 2024 are presented within this document. Site A/Plot M is in the Palos Area Preserves managed by the Forest Preserve District of Cook County. The surveillance program consists of the collection and analysis of surface and groundwater samples to determine the amount of hydrogen-3 and strontium-90 present in the environment within and surrounding the site of the former research facility (Site A) and waste burial site (Plot M).
54 ENVIRONMENTAL SCIENCES↗
SPRUCE Porewater Total Mercury and Methylmercury from Experimental Plots, Beginning in 2016
This data set reports the results of total mercury and methylmercury analyses of porewater samples from the SPRUCE experimental study plots located in the S1-Bog. Sample collection and analyses started in June of 2016 and will continue for the duration of the experiment. Data will be added to this data set and released to the public periodically as quality assurance and publication of results are accomplished.
54 ENVIRONMENTAL SCIENCES↗
SPRUCE Ground Observations of Phenology in Experimental Plots, 2018
This data set consists of phenological transition dates, as derived from direct observations of vegetative and reproductive phenology recorded by a human observer, from the SPRUCE experiment during 2018, the third full year of whole-ecosystem warming (Hanson et al. 2017). Both spring and autumn phenological events are included. Since April 2016, human observers have been directly tracking the phenology of both woody and herbaceous species on a weekly schedule within the SPRUCE experimental chambers. The observed date report here is the first survey date on which an event/phenophase was definitively observed. The SPRUCE experiment is located within the S1 peat bog at the Marcell Experimental Forest, approximately 40 km north of Grand Rapids in north-central Minnesota, USA. User note: Ground observations of phenology from 2016-2020 are available. See SPRUCE Ground Observations of Phenology in Experimental Plots, 2021 https://doi.org/10.25581/spruce.094/1874936 for the most recent data as well as links to all other ground phenology datasets.
54 ENVIRONMENTAL SCIENCES↗
SPRUCE Soil Metabolome Responses to Whole Ecosystem Warming in SPRUCE Experimental Plots Beginning in 2016
This dataset reports a suite of complementary environmental geochemical analyses of peat extracts and porewater samples from SPRUCE experimental plots across a range of whole ecosystem warming (WEW) temperature treatments beginning in 2016. Results of peat extract analyses include NMR and GC-MS analyses of central metabolites, liquid chromatography mass spectra (LC-MS) analyses of lipids, and quantitative proteomics. Porewater was analyzed by FTICR-MS for secondary metabolites, and for carbon dioxide (CO2), methane (CH4) concentrations, stable isotope composition, and the differential solubility corrected CO2:CH4 ratio. This dataset contains six files in comma separated (*.csv) format.
54 ENVIRONMENTAL SCIENCES↗
SPRUCE Ground Observations of Phenology in Experimental Plots, 2019
This data set consists of phenological transition dates, as derived from direct observations of vegetative and reproductive phenology recorded by a human observer, from the SPRUCE experiment during 2019, the third full year of whole-ecosystem warming (Hanson et al. 2017). Both spring and autumn phenological events are included. Since April 2016, human observers have been directly tracking the phenology of both woody and herbaceous species on a weekly schedule within the SPRUCE experimental chambers. The observed date report here is the first survey date on which an event/phenophase was definitively observed. The SPRUCE experiment is located within the S1 peat bog at the Marcell Experimental Forest, approximately 40 km north of Grand Rapids in north-central Minnesota, USA. User note: Ground observations of phenology from 2016-2021 are available. See SPRUCE Ground Observations of Phenology in Experimental Plots, 2021 https://doi.org/10.25581/spruce.094/1874936 for the most recent data as well as links to all other ground phenology datasets.
54 ENVIRONMENTAL SCIENCES↗
SPRUCE Ground Observations of Phenology in Experimental Plots, 2020
This data set consists of one comma separated (*.csv) file containing phenological transition dates, as derived from direct observations of vegetative and reproductive phenology recorded by a human observer, from the SPRUCE experiment during 2020, the fifth full year of whole-ecosystem warming (Hanson et al. 2017). Both spring and autumn phenological events are included. Since April 2016, human observers have been directly tracking the phenology of both woody and herbaceous species on a weekly schedule within the SPRUCE experimental chambers, these data are reported in annual ground observations data sets (see Related Data Sets). The observed date reported here is the first survey date in 2020 on which an event/phenophase was definitively observed. This data set also contains a companion file in HTML (*.html) format containing figures showing the relationship between the day of year and temperature treatment for different phenological phases by species for 2020. User note: Ground observations of phenology from 2016-2021 are available. SPRUCE Ground Observations of Phenology in Experimental Plots 2021, https://doi.org/10.25581/spruce.099/1874936 for the most recent data as well as links to all other ground phenology datasets.
54 ENVIRONMENTAL SCIENCES↗
SPRUCE Vegetation Phenology in Experimental Plots from Phenocam Imagery, 2015-2021
This data set consists of PhenoCam data from the SPRUCE experiment from the beginning of whole ecosystem warming (Hanson et al. 2017) in August 2015 through March 31 of 2022, with start- and end-of-season phenological transition dates derived through the end of autumn 2021. Digital cameras, or phenocams, installed in each SPRUCE enclosure track seasonal variation in vegetation “greenness”, a proxy for vegetation phenology and associated physiological activity. Three separate regions of interest (ROIs) were defined for each camera field of view, corresponding to different vegetation types and demarcating (1) Picea trees (vegetation type EN, for evergreen needleleaf); (2) Larix trees (vegetation type DN, for deciduous needleleaf); and (3) the mixed shrub layer (vegetation type SH). User Note: This dataset supersedes previous versions of SPRUCE Vegetation Phenology in Experimental Plots from Phenocam Imagery. A list of previous versions can be found in the Related Datasets section of the user guide.
54 ENVIRONMENTAL SCIENCES↗
Autochamber CO2 and CH4 Flux Data for the SPRUCE Experimental Plots
This data set reports measurements of CO2 and CH4 fluxes and d13C-CO2 and d13C-CH4 values associated with each flux measurement for the SPRUCE experimental study plots located in the S1-Bog. Flux measurements started in 2014 and are continuing.
54 ENVIRONMENTAL SCIENCES↗
SPRUCE Plant-Available Nutrients Assessed with Ion-Exchange Resins in Experimental Plots, Beginning in 2013
This data set consists of observations of plant-available nutrients assessed using ion-exchange resin capsules incubated serially in aerobic and anaerobic peat layers beginning in 2013 in the SPRUCE experimental plots at four depths in hummock microtopography and two depths in hollow microtopography. Data will be periodically added to until the conclusion of the SPRUCE experiment.
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SPRUCE Ground Observations of Phenology in Experimental Plots, 2016-2017
This data set consists of phenological transition dates, as derived from direct observations of vegetative and reproductive phenology recorded by a human observer, from the SPRUCE experiment during the 2+ years (August 2015 through December 2017) of whole-ecosystem warming. For 2016, only springtime (April - June) phenological events are included. For 2017 (April - December), spring and autumn events are included. Beginning in April 2016, human observers have been directly tracking the phenology of both woody and herbaceous species on a weekly schedule within the SPRUCE experimental chambers. The observed date reported here is the first survey date on which an event/phenophase was definitively observed. User note: Ground observations of phenology from 2016-2021 are available. See SPRUCE Ground Observations of Phenology in Experimental Plots, 2021 https://doi.org/10.25581/spruce.094/1874936 for the most recent data as well as links to all other ground phenology datasets.
54 ENVIRONMENTAL SCIENCES↗
Inputs, Outputs and Plotting Scripts for paper Extending near-axis equilibria in DESC
Python scripts and outputs from the DESC and pyQSC/pyQIC codes used to create the results in the paper "Extending near-axis equilibria in DESC". The contained README file has the details of which scripts create which figures, as well as on what versions of the codes were used. The repo also contains python pickle (.p) files and .txt files with the data used to create each figure (which are used by the plotting scripts).
DESC↗
Exploring the SDSS Data Set with Linked Scatter Plots. I. EMP, CEMP, and CV Stars
We present the results of a search for extremely metal-poor (EMP), carbon-enhanced metal-poor (CEMP), and cataclysmic variable (CV) stars using a new exploration tool based on linked scatter plots (LSPs). Our approach is especially designed to work with very large spectrum data sets such as the SDSS, LAMOST, RAVE, and Gaia data sets, and it can be applied to stellar, galaxy, and quasar spectra. As a demonstration, we conduct our search using the SDSS DR10 data set. We first created a 3326-dimensional phase space containing nearly 2 billion measures of the strengths of over 1600 spectral features in 569,738 SDSS stars. These measures capture essentially all the stellar atomic and molecular species visible at the resolution of SDSS spectra. We show how LSPs can be used to quickly isolate and examine interesting portions of this phase space. To illustrate, we use LSPs coupled with cuts in selected portions of phase space to extract EMP stars, CEMP stars, and CV stars. We present identifications for 59 previously unrecognized candidate EMP stars and 11 previously unrecognized candidate CEMP stars. We also call attention to 2 candidate He ii emission CV stars found by the LSP approach that have not yet been discussed in the literature.
79 ASTRONOMY AND ASTROPHYSICS↗