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Phase-shift Data for Fully Quantum Calculations of Thermophysical Properties for Noble Gases
This data deposit contains JSON files of phase-shift data and related quantities for pair interactions using state-of-the-art pair potentials for helium (isotopes of mass 3 and 4 and their cross interaction), neon (all six interactions among isotopes with masses 20, 21, and 22), and argon (the dominant isotope of mass 40). A Python program is supplied to compute the second virial coefficient B(T), its first two temperature derivatives, and the second acoustic virial coefficient for any of these pair interactions at temperatures up to 1500 K. The lower temperature limit is 0.01 K for helium, 1 K for neon, and 10 K for argon. Another program is supplied to calculate these quantities for neon of natural isotopic composition.This work is described in a paper: G. Garberoglio and A.H. Harvey, "Avoiding Interpolation Errors for Computed Second Virial Coefficients of Noble Gases", Metrologia, in preparation (2025).The code and data files are also maintained at this Github site:https://github.com/gioGarbe/TAPPS
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Phase-shift Data for Fully Quantum Calculations of Thermophysical Properties for Noble Gases
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This data deposit contains JSON files of phase-shift data and related quantities for pair interactions using state-of-the-art pair potentials for helium (isotopes of mass 3 and 4 and their cross interaction), neon (all six interactions among isotopes with masses 20, 21, and 22), and argon (the dominant isotope of mass 40). A Python program is supplied to compute the second virial coefficient B(T), its first two temperature derivatives, and the second acoustic virial coefficient for any of these pair interactions at temperatures up to 1500 K. The lower temperature limit is 0.01 K for helium, 1 K for neon, and 10 K for argon. Another program is supplied to calculate these quantities for neon of natural isotopic composition.This work is described in a paper: G. Garberoglio and A.H. Harvey, "Avoiding Interpolation Errors for Computed Second Virial Coefficients of Noble Gases", Metrologia, in preparation (2025).The code and data files are also maintained at this Github site:https://github.com/gioGarbe/TAPPS
Demonstration of dispersion gas barometry
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Supplemental material to the 2025 article "Demonstration of dispersion gas barometry" by Y. Yang, J.A. Stone, and P.F. Egan.The archive file contains two-color data for the gases helium, neon, argon, and nitrogen. Two-color data means measured quadruplets of pressure and temperature together with refractivity at two wavelengths 1542.3912 nm (194.368624 THz) and 632.9919 nm (473.611873 THz).Two analysis scripts are included:1. plotHelium.py: performs the helium analysis to deduce the cavity distortion coefficient kappa and the conversion factor epsilon_p needed to realize the optical pressure scale. The script reproduces Fig. 2 from the article.2. plotGases.py: analyzes the gases neon, argon, and nitrogen and deduces the two parameters describing dispersion polarizability A_epsilon and A_2. The script reproduces Fig 3 from the article.Additionally, the script "pgtProp.py" is a library function, which offers best knowledge (as of January 2025) of gas properties to be used in Polarizing Gas Thermometry. The library functions synthesize the optical and thermophysical properties of helium, neon, argon, and nitrogen. The synthesis combines literature sources plus the measurement results from the main text.
NIST Chemistry WebBook - SRD 69
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The NIST Chemistry WebBook provides users with easy access to chemical and physical property data for chemical species through the internet. The data provided in the site are from collections maintained by the NIST Standard Reference Data Program and outside contributors. Data in the WebBook system are organized by chemical species. The WebBook system allows users to search for chemical species by various means. Once the desired species has been identified, the system will display data for the species. Data include thermochemical properties of species and reactions, thermophysical properties of species, and optical, electronic and mass spectra.
Noble Gas Isotopic Data from Fluid Inclusions Contained in the Te-bearing Adularia-Sericite Epithermal Au-Ag Deposits in a Calc-Alkaline Magmatic Arc, NE China
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The contents of this data release represent the results of the noble gas composition analysis and are presented in support of the planned publication Gao et al., 2023, titled Lead and noble gas isotopic constraints on the origin of Te-bearing adularia-sericite epithermal Au-Ag deposits in a calc-alkaline magmatic arc. Tellurium (Te)-bearing adularia-sericite epithermal Au-Ag deposits are widely distributed in calc-alkaline magmatic arcs and are an important current and future source of precious and critical metals. However, the source of ore-forming fluids in these deposits remain unclear due to the lack of isotopic evidence on Au-, Ag-, and Te-bearing minerals. To advance understanding of the source of Te and precious metals, He, Ne, and Ar isotope analysis were performed on gases extracted from fluid inclusions contained in ore and gangue minerals from two Te-rich (Sandaowanzi and Yongxin, Xing’an Block) and two Te-poor (Dong’an, Songliao Block, and Tuanjiegou, Jiamusi Massif) epithermal Au-Ag deposits that occur in an early Cretaceous magmatic arc in the North Heilongjiang Belt, northeastern China. Samples were collected by Shen Gao (see Gao et al. 2022) and were analyzed at the U.S. Geological Survey Noble Gas Laboratory by Andrew Hunt from August 2019 to March 2020.
Dissolved noble gas data and helium mass balance models for the Colorado and Virgin Rivers
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Dissolved noble gas data were collected using a portable mass spectrometer mounted on inflatable rafts on the Colorado River near Glenwood Springs, Colorado and the Virgin River near La Verkin, Utah. Data were collected approximately every 3 to 10 minutes for a suite of noble gases including helium (He), neon (Ne), argon (Ar), krypton (Kr), and xenon (Xe). Patterns in observed dissolved He concentrations were used to locate diffuse discharge of saline geothermal water, which commonly have elevated He concentrations. Diffuse groundwater discharge can be difficult to locate and quantify, and the dissolved He signals are a novel approach to understanding diffuse geothermal discharge to rivers. Dissolved He data were also used in a mass balance model to estimate the quantity of discharging groundwater.