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14 pages, 8541 KiB  
Article
Preparation, Thermal Behavior, and Conformational Stability of HMX/Cyclopentanone Cocrystallization
by Yuting Tao, Shaohua Jin, Tongbin Wang, Chongchong She, Kun Chen, Junfeng Wang and Lijie Li
Crystals 2024, 14(8), 711; https://doi.org/10.3390/cryst14080711 - 8 Aug 2024
Viewed by 287
Abstract
The cocrystallization of 1,3,5,7-tetranitro-1,3,5,7-tetrazolidine (HMX) with cyclopentanone was achieved via a controlled cooling method, followed by comprehensive characterization that confirmed the α-configuration of HMX within the cocrystal. The enthalpy of dissolution of HMX in cyclopentanone was assessed across a range of temperatures using [...] Read more.
The cocrystallization of 1,3,5,7-tetranitro-1,3,5,7-tetrazolidine (HMX) with cyclopentanone was achieved via a controlled cooling method, followed by comprehensive characterization that confirmed the α-configuration of HMX within the cocrystal. The enthalpy of dissolution of HMX in cyclopentanone was assessed across a range of temperatures using a C-80 Calvert microcalorimeter, revealing an endothermic dissolution process. Subsequently, the molar enthalpy of dissolution was determined, and kinetic equations describing the dissolution rate were derived for temperatures of 303.15, 308.15, 313.15, 318.15, and 323.15 K as follows: dα⁄dt = 10−2.46(1 − α)0.35, dα⁄dt = 10−2.19(1 − α)0.79, dα⁄dt = 10−1.76(1 − α)1.32, dα⁄dt = 10−1.86(1 − α)0.46, and dα⁄dt = 10−2.02(1 − α)0.70, respectively. Additionally, molecular dynamics (MD) simulations investigated the intermolecular interactions of the HMX/cyclopentanone cocrystallization process, demonstrating a transformation of HMX from β- to α-conformation within the cyclopentanone environment. Theoretical calculations performed at the ωB97XD/6-311G(d,p) level affirmed that α-HMX exhibited stronger binding affinity toward cyclopentanone compared to β-HMX, corroborating experimental findings. A comprehensive understanding of the dissolution behavior of HMX in cyclopentanone holds significant implications for crystal growth methodologies and cocrystallization processes. Such insights are pivotal for optimizing HMX dissolution processes and offer valuable perspectives for developing and designing advanced energetic materials. Full article
(This article belongs to the Special Issue Co-Crystals and Polymorphic Transition in Energetic Materials)
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Graphical abstract

Graphical abstract
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<p>Optical microscope images of (<b>a</b>) raw HMX and (<b>b</b>) HMX/cyclopentanone cocrystallization and (<b>c</b>,<b>d</b>) polarized microscope images of HMX/cyclopentanone cocrystallization.</p>
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<p>XRD patterns of pure β-HMX, α-HMX, raw-HMX, and HMX/cyclopentanone cocrystallization.</p>
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<p>FT−IR spectra of the raw materials and the cocrystallization.</p>
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<p>TG−DTG curves of HMX/cyclopentanone cocrystallization.</p>
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<p>DSC curves of pure β-HMX, α-HMX, and HMX/cyclopentanone cocrystallization.</p>
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<p>High-pressure DSC curves of pure β-HMX and HMX/cyclopentanone cocrystallization.</p>
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<p>The curve of heat−flow of HMX in cyclopentanone.</p>
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<p>The relationship of reaction rate constant (<span class="html-italic">k</span>) versus temperature (<span class="html-italic">T</span>) for the dissolution of HMX in cyclopentanone (the red line is the best−fit line).</p>
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<p>Screenshots of MD simulations of HMX in cyclopentanone at 313.15 K: (<b>a</b>) 0 ps; (<b>b</b>) 345 ps; (<b>c</b>) 666 ps; and (<b>d</b>) 670 ps. (HMX molecules are represented by a ball-and-stick, and cyclopentanone molecules are represented by a line.).</p>
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<p>α-HMX and cyclopentanone dimer structures optimized at the ωB97XD/6-311G(d,p) level ((<b>a</b>) α-HMX/α-HMX; (<b>b</b>) cyclopentanone/cyclopentanone; (<b>c</b>) α-HMX/cyclopentanone).</p>
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<p>(<b>a</b>) Final structures after equilibrated for by after molecular dynamics simulation; (<b>b</b>) Interaction of HMX with cyclopentanone (The dashed line indicates the distance between the O atom of the cyclopentanone carbonyl and the four methylene H atom of HMX in Å).</p>
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11 pages, 10722 KiB  
Article
Assessing the Aging Effect on Ti/Au Bilayers for Transition-Edge Sensor (TES) Detectors
by Maria Gambelli, Matteo D’Andrea, Rita Asquini, Alessio Buzzin, Claudio Macculi, Guido Torrioli and Sara Cibella
Sensors 2024, 24(12), 3995; https://doi.org/10.3390/s24123995 - 20 Jun 2024
Viewed by 603
Abstract
Transition-edge sensor (TES) microcalorimeters are advanced cryogenic detectors that use a superconducting film for particle or photon detection. We are establishing a new production line for TES detectors to serve as cryogenic anticoincidence (i.e., veto) devices. These detectors are made with a superconducting [...] Read more.
Transition-edge sensor (TES) microcalorimeters are advanced cryogenic detectors that use a superconducting film for particle or photon detection. We are establishing a new production line for TES detectors to serve as cryogenic anticoincidence (i.e., veto) devices. These detectors are made with a superconducting bilayer of titanium (Ti) and gold (Au) thin films deposited via electron beam evaporation in a high vacuum condition on a monocrystalline silicon substrate. In this work, we report on the development of such sensors, aiming to achieve stable sensing performance despite the effects of aging. For this purpose, patterned and non-patterned Ti/Au bilayer samples with varying geometries and thicknesses were fabricated using microfabrication technology. To characterize the detectors, we present and discuss initial results from repeated resistance–temperature (R–T) measurements over time, conducted on different samples, thereby augmenting existing literature data. Additionally, we present a discussion of the sensor’s degradation over time due to aging effects and test a potential remedy based on an easy annealing procedure. In our opinion, this work establishes the groundwork for our new TES detector production line. Full article
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Figure 1
<p>(<b>a</b>) Picture of patterned Ti/Au bilayer samples. (<b>b</b>) SEM enlargement of a Ti/Au bilayer two-square geometry. (<b>c</b>) 2D cross-section schematic sketch of fabrication steps for a patterned Ti/Au sample: spin coating of PMMA resist on a single crystal silicon substrate ready for EBL exposure (<b>1</b>), PMMA development after EBL exposure followed by Ti/Au e-beam evaporation (<b>2</b>), and lift-off with acetone (<b>3</b>).</p>
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<p>Measurement setup: (<b>a</b>) <sup>3</sup>He/<sup>4</sup>He dilution cryostat by Oxford Instruments, circled in green, and sample holder anchored on the lowest temperature plate of the cryostat (see (<b>b</b>)). (<b>b</b>) Sample holder detail: PCB for 4-wire read out, and two samples enclosed between copper sheets. (<b>c</b>) Complete measurement setup: the LakeShore 370 AC Resistance Bridge connected to the cryostat through shielded cables. All the setup components form a continuous Faraday cage.</p>
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<p>Resistance–temperature curves of the two-square geometry ATV10 (green left curve) and ATV11 (pink right curve) samples. The resistance is normalized with respect to the normal resistance values: for ATV10, <math display="inline"><semantics> <msub> <mi>R</mi> <mi>N</mi> </msub> </semantics></math> is equal to 0.23 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math>; for ATV11, <math display="inline"><semantics> <msub> <mi>R</mi> <mi>N</mi> </msub> </semantics></math> is equal to 0.54 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math>.</p>
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<p>Normalized resistance–temperature curves for Ti/Au 90 nm/120 nm thick bilayer (green dots, Au/Ti ratio equal to 1.33, <math display="inline"><semantics> <msub> <mi>R</mi> <mi>N</mi> </msub> </semantics></math>= 0.11 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math>); Ti/Au 90 nm/60 nm thick bilayer (red dots, Au/Ti ratio equal to 0.57, <math display="inline"><semantics> <msub> <mi>R</mi> <mi>N</mi> </msub> </semantics></math>= 0.63 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math>); Ti/Au 60 nm/90 nm thick bilayer (purple dots, Au/Ti ratio equal to 1.5, <math display="inline"><semantics> <msub> <mi>R</mi> <mi>N</mi> </msub> </semantics></math>= 0.17 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math>); and Ti 90 nm thick monolayer (blue dots, <math display="inline"><semantics> <msub> <mi>R</mi> <mi>N</mi> </msub> </semantics></math>= 9.34 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math>).</p>
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<p>Resistance–temperature curves of Ti/Au bilayers measured after different time intervals: Ti/Au 90 nm/120 nm thick bilayer (<b>a</b>), Ti/Au 90 nm/60 nm thick bilayer (<b>b</b>), Ti/Au 60 nm/90 nm thick bilayer (<b>c</b>), and Ti 90 nm thick monolayer (<b>d</b>). The first test is performed 5 days after fabrication; the second test is performed 11 days after the first test (sample stored in vacuum for 6 days, then stored in air for 5 days); the third test is performed 10 after the second test (sample stored in vacuum for the whole 10 days); the fourth test is carried out 15 days after the third test (sample stored in vacuum for 13 days, then stored in air for 2 days).</p>
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<p>(<b>a</b>) Critical temperature (<math display="inline"><semantics> <msub> <mi>T</mi> <mi>C</mi> </msub> </semantics></math>) measured (colored dots) and evaluated (dashed lines) trends vs. time elapsed since sample fabrication, considering the days of storage in both air and vacuum environments. (<b>b</b>) Plot of the <span class="html-italic">a</span> parameter values obtained using a fitting procedure performed on the data acquired for the different samples. The error bars display the relative fitting errors.</p>
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<p><math display="inline"><semantics> <mrow> <mo>Δ</mo> <msub> <mi>T</mi> <mi>C</mi> </msub> </mrow> </semantics></math> plot (colored dots) and evaluated trend (dashed lines) vs. time elapsed since sample fabrication. The error bars display the total error, taking into account the experimental error and the fitting error on <math display="inline"><semantics> <msub> <mi>T</mi> <mrow> <mi>C</mi> <mn>0</mn> </mrow> </msub> </semantics></math>.</p>
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<p>Normalized resistance–temperature curves measured for non-annealed (blue and light blue, <math display="inline"><semantics> <msub> <mi>R</mi> <mi>N</mi> </msub> </semantics></math> = 0.15 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math>) and annealed (red and orange, <math display="inline"><semantics> <msub> <mi>R</mi> <mi>N</mi> </msub> </semantics></math> = 0.15 <math display="inline"><semantics> <mo>Ω</mo> </semantics></math>) Ti/Au 40 nm/100 nm thick bilayers. The second test is performed 7 days after the first test (sample stored in air for 3 days and in vacuum for 4 days).</p>
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16 pages, 9035 KiB  
Article
Nanoscale Three-Dimensional Imaging of Integrated Circuits Using a Scanning Electron Microscope and Transition-Edge Sensor Spectrometer
by Nathan Nakamura, Paul Szypryt, Amber L. Dagel, Bradley K. Alpert, Douglas A. Bennett, William Bertrand Doriese, Malcolm Durkin, Joseph W. Fowler, Dylan T. Fox, Johnathon D. Gard, Ryan N. Goodner, James Zachariah Harris, Gene C. Hilton, Edward S. Jimenez, Burke L. Kernen, Kurt W. Larson, Zachary H. Levine, Daniel McArthur, Kelsey M. Morgan, Galen C. O’Neil, Nathan J. Ortiz, Christine G. Pappas, Carl D. Reintsema, Daniel R. Schmidt, Peter A. Schultz, Kyle R. Thompson, Joel N. Ullom, Leila Vale, Courtenay T. Vaughan, Christopher Walker, Joel C. Weber, Jason W. Wheeler and Daniel S. Swetzadd Show full author list remove Hide full author list
Sensors 2024, 24(9), 2890; https://doi.org/10.3390/s24092890 - 30 Apr 2024
Cited by 1 | Viewed by 976
Abstract
X-ray nanotomography is a powerful tool for the characterization of nanoscale materials and structures, but it is difficult to implement due to the competing requirements of X-ray flux and spot size. Due to this constraint, state-of-the-art nanotomography is predominantly performed at large synchrotron [...] Read more.
X-ray nanotomography is a powerful tool for the characterization of nanoscale materials and structures, but it is difficult to implement due to the competing requirements of X-ray flux and spot size. Due to this constraint, state-of-the-art nanotomography is predominantly performed at large synchrotron facilities. We present a laboratory-scale nanotomography instrument that achieves nanoscale spatial resolution while addressing the limitations of conventional tomography tools. The instrument combines the electron beam of a scanning electron microscope (SEM) with the precise, broadband X-ray detection of a superconducting transition-edge sensor (TES) microcalorimeter. The electron beam generates a highly focused X-ray spot on a metal target held micrometers away from the sample of interest, while the TES spectrometer isolates target photons with a high signal-to-noise ratio. This combination of a focused X-ray spot, energy-resolved X-ray detection, and unique system geometry enables nanoscale, element-specific X-ray imaging in a compact footprint. The proof of concept for this approach to X-ray nanotomography is demonstrated by imaging 160 nm features in three dimensions in six layers of a Cu-SiO2 integrated circuit, and a path toward finer resolution and enhanced imaging capabilities is discussed. Full article
(This article belongs to the Special Issue Recent Advances in X-ray Sensing and Imaging)
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<p>(<b>A</b>) MINT overview, consisting of an electron column, energy-dispersive spectroscopy (EDS) source-term monitor, SEM chamber, and TES spectrometer. (<b>B</b>) View inside the SEM chamber, showing the electron beam incident on a sample in the sample holder and the generated X-rays going to the TES and EDS. (<b>C</b>) Schematic demonstrating the MINT sample configuration and X-ray generation in sample layers: an electron beam incident on a target layer generates X-rays in a nanoscale spot size, which are attenuated by the IC and detected by the TES. Electrons not stopped in the target layer spread into a larger spot size and generate X-rays in other layers of the sample. Sample thicknesses are not drawn to scale. Part B is reprinted from Ref. [<a href="#B18-sensors-24-02890" class="html-bibr">18</a>] with permission (<a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a>, accessed on 10 October 2023).</p>
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<p>PENELOPE simulation results for the candidate target materials, showing the predicted imaging speed for the coadded TES array. A 100 nm thick Pt layer at an electron accelerating voltage of 25 keV yields the best imaging speed on the selected IC and was thus chosen for the MINT imaging demonstration.</p>
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<p>(<b>A</b>) The Au-on-C sample. Line scans over the edge of Au grains were collected, and the Au M<sub><span class="html-italic">α</span></sub> counts detected by the EDS were extracted. (<b>B</b>) Au M<sub><span class="html-italic">α</span></sub> counts versus distance along a line scan (blue points) using the 60 μm aperture, fitted to a Gaussian integral (black line) to estimate the electron beam full-width half-maximum (FWHM). (<b>C</b>) Estimated Gaussian FWHM versus the SEM aperture size. An aperture size of 150 μm was chosen for tomography in this measurement. At smaller aperture sizes (60 μm and below), the measured spot size becomes limited by the sharpness of the Au edge rather than the size of the electron beam.</p>
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<p>Geometric magnification in MINT. Nanometer-scale features in the IC are magnified onto TES pixels. The design magnification is proportional to the TES pixel pitch (<math display="inline"><semantics> <msub> <mi>D</mi> <mi>p</mi> </msub> </semantics></math>) and the desired resolvable feature size (<math display="inline"><semantics> <msub> <mi>F</mi> <mi>S</mi> </msub> </semantics></math>), while the system magnification is proportional to the ratio of the source-to-detector (<math display="inline"><semantics> <msub> <mi>S</mi> <mi>D</mi> </msub> </semantics></math>) and source-to-feature (<math display="inline"><semantics> <msub> <mi>S</mi> <mi>F</mi> </msub> </semantics></math>) spacing. The system magnification should be higher than the design magnification to resolve the desired feature size. This figure is reprinted from Ref. [<a href="#B21-sensors-24-02890" class="html-bibr">21</a>].</p>
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<p>(<b>A</b>) Schematic of a TES. The TES and absorber are weakly thermally coupled to a silicon substrate serving as a thermal bath via a silicon nitride membrane. The TES is cooled into its superconducting state and voltage-biased onto the superconducting-to-normal transition. When a photon is absorbed, the small increase in absorber and TES temperature results in a relatively large change in the TES resistance. Higher energy photons cause a larger change in temperature and thus a larger change in the TES resistance. (<b>B</b>) The change in TES resistance caused by photon absorption is read out as a negative-going pulse in the TES current (shown inverted here), with the pulse height proportional to the energy of the incident photon.</p>
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<p>(<b>A</b>) Energy-calibrated TES spectrum combined over all TES pixels in the array and over all dwell positions. Purple arrows indicate the Pt L<sub><span class="html-italic">α</span></sub> characteristic X-rays used for tomographic reconstruction. All other characteristic X-ray peaks are background peaks from sources such as the SEM chamber, sample holder, or cryostat. A selection of higher-intensity background peaks is indicated by orange arrows. (<b>B</b>) Fit to the Pt L<sub><span class="html-italic">α</span></sub> line for the full TES array over all dwell positions. This fit separates the Pt X-rays generated in the target layer from the bremsstrahlung background photons. (<b>C</b>) Fit to the Cu K<sub><span class="html-italic">α</span></sub> line for the full TES array over all dwell positions. The Cu K<sub><span class="html-italic">α</span></sub> intrinsic line shape is well characterized, [<a href="#B36-sensors-24-02890" class="html-bibr">36</a>,<a href="#B37-sensors-24-02890" class="html-bibr">37</a>], and this spectrum was used to establish the energy resolution of the TES spectrometer at 8 keV.</p>
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<p>(<b>A</b>) Three-dimensional reconstruction of an IC fabricated at the 130 nm node, using X-rays in the 9.1–10.1 keV energy band. This band includes all Pt L<sub><span class="html-italic">α</span></sub> photons. (<b>B</b>) Spectrum from the TES detector, with the 9.1–10.1 keV energy band used for reconstruction highlighted in orange (top). Reconstruction results, separated by the IC layer, are shown under the spectrum. These slices were taken from the reconstruction shown in A. (<b>C</b>) Multi-energy reconstruction results, using the 9.1–10.1 keV and the 5.4–6.4 keV band, shown under the TES spectrum, with the X-ray energies used highlighted in orange. Here, only the first via layer is resolved more clearly than when only using 9.1–10.1 keV photons, indicating a material other than Cu may be present. (<b>D</b>) GDS ground truth for each of the metal via and wiring layers, for comparison with the reconstruction results. A portion of this figure appeared in Ref. [<a href="#B21-sensors-24-02890" class="html-bibr">21</a>]. All scale bars in (<b>A</b>–<b>C</b>) are 2 μm wide.</p>
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3 pages, 396 KiB  
Abstract
Microhotplate as a Platform for Calorimetry
by Rebeka Gy. Kiss, Lajos Harasztosi, István A. Szabó and Gábor Battistig
Proceedings 2024, 97(1), 175; https://doi.org/10.3390/proceedings2024097175 - 10 Apr 2024
Viewed by 3013
Abstract
Calorimetry is a powerful method for characterising materials. The heat of a reaction can be directly measured with good accuracy. The established method usually requires large amounts of materials, which is a major drawback when studying thin film reactions. A MEMS microhotplate-based microcalorimeter [...] Read more.
Calorimetry is a powerful method for characterising materials. The heat of a reaction can be directly measured with good accuracy. The established method usually requires large amounts of materials, which is a major drawback when studying thin film reactions. A MEMS microhotplate-based microcalorimeter is developed in this study; it allows us to investigate thin film reactions by using a very small amount of materials. The temperature scale is calibrated by a well-known heat method of melting of two metal films. Energy calibration is also solved, and thus real information can be extracted for various solid-phase thin film reactions. In order to study reactions taking place close to room temperature, a cooled sample holder is developed, and the measurements can be started well below 0 °C. Full article
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<p>Layout of the Pt heater element with a diameter of 150 mm with enhanced temperature homogeneity over the surface (<b>a</b>); Microcalorimeter chip with two independent heater elements embedded in separated dielectric membranes (<b>b</b>).</p>
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18 pages, 4258 KiB  
Article
Thermalization of Mesh Reinforced Ultra-Thin Al-Coated Plastic Films: A Parametric Study Applied to the Athena X-IFU Instrument
by Nicola Montinaro, Luisa Sciortino, Fabio D’Anca, Ugo Lo Cicero, Enrico Bozzo, Stéphane Paltani, Michela Todaro and Marco Barbera
Sensors 2024, 24(7), 2360; https://doi.org/10.3390/s24072360 - 8 Apr 2024
Viewed by 655
Abstract
The X-ray Integral Field Unit (X-IFU) is one of the two focal plane detectors of Athena, a large-class high energy astrophysics space mission approved by ESA in the Cosmic Vision 2015–2025 Science Program. The X-IFU consists of a large array of transition edge [...] Read more.
The X-ray Integral Field Unit (X-IFU) is one of the two focal plane detectors of Athena, a large-class high energy astrophysics space mission approved by ESA in the Cosmic Vision 2015–2025 Science Program. The X-IFU consists of a large array of transition edge sensor micro-calorimeters that operate at ~100 mK inside a sophisticated cryostat. To prevent molecular contamination and to minimize photon shot noise on the sensitive X-IFU cryogenic detector array, a set of thermal filters (THFs) operating at different temperatures are needed. Since contamination already occurs below 300 K, the outer and more exposed THF must be kept at a higher temperature. To meet the low energy effective area requirements, the THFs are to be made of a thin polyimide film (45 nm) coated in aluminum (30 nm) and supported by a metallic mesh. Due to the small thickness and the low thermal conductance of the material, the membranes are prone to developing a radial temperature gradient due to radiative coupling with the environment. Considering the fragility of the membrane and the high reflectivity in IR energy domain, temperature measurements are difficult. In this work, a parametric numerical study is performed to retrieve the radial temperature profile of the larger and outer THF of the Athena X-IFU using a Finite Element Model approach. The effects on the radial temperature profile of different design parameters and boundary conditions are considered: (i) the mesh design and material, (ii) the plating material, (iii) the addition of a thick Y-cross applied over the mesh, (iv) an active heating heat flux injected on the center and (v) a Joule heating of the mesh. The outcomes of this study have guided the choice of the baseline strategy for the heating of the Athena X-IFU THFs, fulfilling the stringent thermal specifications of the instrument. Full article
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<p>Schematic mounting of the thermal filters in the X-IFU cryostat. The THF300, THF100, and THF30 are mounted on the cryostat shields (red boxes) kept at 300 K, 100 K, and 30 K, respectively. The THF2 and the THF0 are mounted on the Focal Plane Assembly stages (blue boxes) at 2 K and 50 mK, respectively.</p>
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<p>On the left panel is the front view of the THF300 filter assembly; on the right panel an exploded view of the four parts of the filter: (1) outer frame, (2) inner frame, (3) mesh, (4) aluminized polyimide membrane.</p>
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<p>On the left: front view of the THF300 assembly with the Y-cross added to the inner frame. On the right: exploded view of the four parts of the THF300 filter: (1) outer frame, (2) Y-cross, (3) mesh, (4) aluminized polyimide membrane.</p>
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<p>Schematic representation of the cross-sections of the THF300 mesh arm for the five proposed models: model A represents the baseline with stainless steel (blue) plated with gold (yellow), model B has the same mesh material with a thicker silver plating (grey), model C has the BeCu mesh (brown) with silver plating, model D is the optimized BeCu mesh design, described in the next picture with the thickest silver plating, and model E is the double BeCu mesh with silver plating. The dimensions h, h’, H and w, w’, W, are 90, 100, 110 µm and 50, 60, 70 µm, respectively.</p>
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<p>Graphical representation of the optimized mesh design used on the model D. The mesh has wider mesh bars in the outer ring illuminated only by the calibration modulated X-ray sources.</p>
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<p>A 3D representation of the quarter of FEM static heat-transfer simulation with its boundary conditions (symmetries of the sector, temperatures and emissivity).</p>
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<p>Discretization of the hexagonal mesh (<b>left panel</b>) and discretization of the composite membrane (<b>right panel</b>).</p>
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<p>Radial temperature profiles of the simplified analytical solution vs. the detailed FEM.</p>
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<p>Radial temperature profiles for the first set of four case studies. Panels in the first row represent the passive conduction cases, while panels in the second row represent the active heating cases. The legend is the same for all graphs: model A SS-Au (magenta line), model B SS-Ag (purple line), model C BeCu-Ag (blue line), model D BeCu opt Ag (green line), and model E BeCu double Ag (red line).</p>
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<p>Radial temperature profile for the second set of four cases (from fifth to eighth) with the requirement of having at least 320 K throughout the entire filter. Panels in the first row represent the passive conduction cases, while panels in the second row the active heating cases. The legend is the same for all graphs: model A SS-Au (magenta line), model B SS-Ag (purple line), model C BeCu-Ag (blue line), model D BeCu opt Ag (green line), and model E BeCu double Ag (red line).</p>
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10 pages, 305 KiB  
Communication
Towards Precision Muonic X-ray Measurements of Charge Radii of Light Nuclei
by Ben Ohayon, Andreas Abeln, Silvia Bara, Thomas Elias Cocolios, Ofir Eizenberg, Andreas Fleischmann, Loredana Gastaldo, César Godinho, Michael Heines, Daniel Hengstler, Guillaume Hupin, Paul Indelicato, Klaus Kirch, Andreas Knecht, Daniel Kreuzberger, Jorge Machado, Petr Navratil, Nancy Paul, Randolf Pohl, Daniel Unger, Stergiani Marina Vogiatzi, Katharina von Schoeler and Frederik Wautersadd Show full author list remove Hide full author list
Physics 2024, 6(1), 206-215; https://doi.org/10.3390/physics6010015 - 17 Feb 2024
Cited by 7 | Viewed by 987
Abstract
We, the QUARTET Collaboration, propose an experiment to measure the nuclear charge radii of light elements with up to 20 times higher accuracy. These are essential both for understanding nuclear physics at low energies, and for experimental and theoretical applications in simple atomic [...] Read more.
We, the QUARTET Collaboration, propose an experiment to measure the nuclear charge radii of light elements with up to 20 times higher accuracy. These are essential both for understanding nuclear physics at low energies, and for experimental and theoretical applications in simple atomic systems. Such comparisons advance the understanding of bound-state quantum electrodynamics and are useful for searching for new physics beyond the Standard Model. The energy levels of muonic atoms are highly susceptible to nuclear structure, especially to the mean square charge radius. The radii of the lightest nuclei (with the atomic number, Z=1,2) have been determined with high accuracy using laser spectroscopy in muonic atoms, while those of medium mass and above were determined using X-ray spectroscopy with semiconductor detectors. In this communication, we present a new experiment, aiming to obtain precision measurements of the radii of light nuclei 3Z10 using single-photon energy measurements with cryogenic microcalorimeters; a quantum-sensing technology capable of high efficiency with outstanding resolution for low-energy X-rays. Full article
(This article belongs to the Special Issue Precision Physics and Fundamental Physical Constants (FFK 2023))
17 pages, 4391 KiB  
Article
Investigation of Hafnium Thin Films for Design of TES Microcalorimeters
by Victoria Yu. Safonova, Anna V. Gordeeva, Anton V. Blagodatkin, Dmitry A. Pimanov, Anton A. Yablokov, Olga L. Ermolaeva and Andrey L. Pankratov
Materials 2024, 17(1), 222; https://doi.org/10.3390/ma17010222 - 30 Dec 2023
Cited by 2 | Viewed by 973
Abstract
Hafnium is a superconductor with a transition temperature slightly above 100 mK. This makes it attractive for such applications as microcalorimeters with high energy resolution. We report the superconducting properties of Hf films of thicknesses ranging from 60 to 115 nm, deposited on [...] Read more.
Hafnium is a superconductor with a transition temperature slightly above 100 mK. This makes it attractive for such applications as microcalorimeters with high energy resolution. We report the superconducting properties of Hf films of thicknesses ranging from 60 to 115 nm, deposited on Si and Al2O3 substrates by electron beam evaporation. Besides that, we fabricated and measured combinations of hafnium with thin layers of normal metals, decreasing the critical temperature by the proximity effect. The critical temperature of the studied films varied from 56 to 302 mK. We have observed a significant change in the critical temperature of some films over time, which we propose to prevent by covering hafnium films with a thin layer of titanium. Full article
(This article belongs to the Section Quantum Materials)
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<p>The measurement setup.</p>
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<p>(<b>a</b>) The current–voltage characteristics of the Hf-1 97 nm; (<b>b</b>) The current-voltage characteristics of the Hf/Ti (Hf-2) 85/5 nm. Black line is for direct branch, red line is for reverse branch.</p>
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<p>The dependence of the resistance on temperature of Hf-1 films relative to their normal resistances.</p>
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<p>(<b>a</b>) The critical temperatures of the Hf-1 films in ascending order; (<b>b</b>) The transition widths of the Hf-1 films. The point size is bigger than measurement uncertainties.</p>
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<p>The temperature dependence of the resistance of the Hf-2 films relative to their normal resistances.</p>
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<p>(<b>a</b>) Critical temperatures of Hf-2 films in ascending order; (<b>b</b>) Transition widths of Hf-2 films. The point size is bigger than measurement uncertainties.</p>
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<p>The comparative plot of the resistance versus temperature of an Ag/Hf/Au 10/75/20 nm film.</p>
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<p>The comparative plot of the resistance versus temperature of a 60/20 nm Hf/Ag film. Arrows show the direction of resistance change during heating (up) and cooling (down).</p>
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<p>A comparative plot of the resistance of the 85/5 nm Hf/Ti film versus temperature relative to its normal resistance. Arrows show the direction of resistance change during heating (up) and cooling (down).</p>
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<p>The comparative plot of the resistance versus temperature of Hf 100 nm film on Si substrate. Arrows show the direction of resistance change during heating (up) and cooling (down).</p>
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<p>(<b>a</b>) AFM image of the Hf-2 100 nm film surface; (<b>b</b>) AFM photo of the Hf/Ag (Hf-2) 85/30 nm film surface.</p>
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20 pages, 5104 KiB  
Article
Study on the Effect of Main Chain Molecular Structure on Adsorption, Dispersion, and Hydration of Polycarboxylate Superplasticizers
by Yunhui Fang, Zhanhua Chen, Dongming Yan, Yuliang Ke, Xiuxing Ma, Junying Lai, Yi Liu, Geli Li, Xiaofang Zhang, Zhijun Lin and Zhaopeng Wang
Materials 2023, 16(13), 4823; https://doi.org/10.3390/ma16134823 - 4 Jul 2023
Cited by 4 | Viewed by 1180
Abstract
Polycarboxylate ether (PCE) with different main chain structures was prepared by aqueous solution free radical polymerization using unsaturated acids containing sulfonic acid groups, acrylamide groups, and carboxyl groups and isoprenyl polyoxyethylene ether (IPEG). The molecular structure was characterized by infrared spectroscopy and gel [...] Read more.
Polycarboxylate ether (PCE) with different main chain structures was prepared by aqueous solution free radical polymerization using unsaturated acids containing sulfonic acid groups, acrylamide groups, and carboxyl groups and isoprenyl polyoxyethylene ether (IPEG). The molecular structure was characterized by infrared spectroscopy and gel chromatography, while adsorption, dispersion, and hydration properties were studied using a total organic carbon analyzer, rheometer, and isothermal microcalorimeter, respectively. The results show that the adsorption process of PCE on cement particles is spontaneous physical adsorption. The adsorption forces are mainly electrostatic interaction, and hydrogen bonding. The introduction of sulfonic acid groups and polycarboxylic acid groups reduces the initial adsorption amount of PCE but can accelerate the adsorption rate of PCE on cement and increase the adsorption amount at the adsorption equilibrium. The introduction of acrylamide groups in the PCE main chain is beneficial to the initial dispersion of PCE and can reduce the plastic viscosity of cement slurry. PCE can delay the hydration of cement. The introduction of acrylamide groups and dicarboxylic acid groups in the PCE main chain helps prolong the induction period of cement hydration, while the introduction of sulfonic acid groups is not conducive to its retarding effect. Full article
(This article belongs to the Section Materials Chemistry)
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<p>Synthesis route of PCE: (<b>a</b>) PCE-1; (<b>b</b>) PCE-2; (<b>c</b>) PCE-3; (<b>d</b>) PCE-4; (<b>e</b>) PCE-5.</p>
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<p>Rheological testing procedure for fcps.</p>
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<p>FT-IR spectra of PCEs.</p>
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<p>Specific charge density of PCE.</p>
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<p>Molecular configuration of PCE.</p>
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<p>The adsorption amounts of PCE at different concentrations.</p>
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<p>Adsorption kinetics curve of PCE on cement particles.</p>
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<p>Adsorption mechanism of PCE on cement.</p>
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<p>Influence of PCE on the fluidity of cement pastes.</p>
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<p>Scheme of interaction between PCE and cement.</p>
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<p>Effect of PCE onrheological properties of cement paste: (<b>a</b>) shear stress vs. shear rate; (<b>b</b>) plastic viscosity vs. shear rate.</p>
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<p>Heat curve of cement hydration: (<b>a</b>) the five stages of cement hydration; (<b>b</b>) hydration heat curve and accumulation heat curve of PCE.</p>
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<p>Hydration kinetics curve of PCE: (<b>a</b>) without PCE; (<b>b</b>) PCE-1; (<b>c</b>) PCE-2; (<b>d</b>) PCE-3; (<b>e</b>) PCE-4; (<b>f</b>) PCE-5.</p>
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17 pages, 4028 KiB  
Article
Mechanical Properties and Hydration Mechanism of Coal Flotation Tailing Cemented Filling Materials
by Dehao Li, Yuping Fan, Xianshu Dong, Xiaomin Ma and Pei Liu
Minerals 2023, 13(3), 389; https://doi.org/10.3390/min13030389 - 10 Mar 2023
Cited by 2 | Viewed by 1264
Abstract
Large-scale application of filled coal mining technology has long been limited by conditions such as the cost of filling. Compared to traditional filling materials, coal flotation tailing filling materials (CFTFM) offers advantages such as low cost and excellent performance. The Box–Behnken response surface [...] Read more.
Large-scale application of filled coal mining technology has long been limited by conditions such as the cost of filling. Compared to traditional filling materials, coal flotation tailing filling materials (CFTFM) offers advantages such as low cost and excellent performance. The Box–Behnken response surface method was used to investigate the influence of flotation tailing properties on the mechanical properties and hydration mechanisms of the filling material. Ash content, blending, and calcination temperature of the flotation tailings were used as the investigating factors, and uniaxial compressive strength (7d and 28d), slump, and the slurry water secretion rate of the filling material as the evaluation indicators. The results showed that the influence of the flotation tailings on the uniaxial compressive strength (28d) of CFTFM followed the order ash > calcination temperature > doping, with the interaction of ash and calcination temperature having a greater influence on the uniaxial compressive strength. The optimized pre-treatment conditions for the flotation tailings were 59% ash, 30% doping, a calcination temperature of 765 °C, and optimum uniaxial compressive strength of 7.02 MPa. The effect of flotation tailings on the exotherm of CFTFM hydration was determined using a TAM Air isothermal microcalorimeter, mainly in the induction and acceleration phases. Combined with SEM electron microscopy and IR FT-IR analysis of the hydration products, a descriptive model of the CFTFM hydration mechanism was established. CFTFM hydration can be described in three phases: diffusion, hydration, and hardening. The CFTFM prepared in this study is applicable to the integrated mining and charging synergistic mining technology, which can effectively reduce gangue lifting energy consumption and washing process waste, reduce the cost of filling, and can effectively achieve harmless, resourceful, and large-scale disposal of coal-based solid waste. Full article
(This article belongs to the Special Issue Solid-Filling Technology in Coal Mining)
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<p>X-ray diffraction pattern of the raw material.</p>
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<p>CFTFM performance testing technology roadmap.</p>
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<p>Effect of ash on CFTFM performance.</p>
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<p>Effect of proportions on CFTFM performance.</p>
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<p>Effect of calcination temperature on CFTFM performance.</p>
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<p>Comparison of predicted and measured values.</p>
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<p>Effect of the interaction of factors on the compressive strength of CFTFM.</p>
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<p>Rate of exothermic hydration and cumulative heat release.</p>
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<p>XRD pattern of hydration products.</p>
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<p>FT-IR spectrum of CFTFM.</p>
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<p>Shape of CFTFM hydration products.</p>
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9 pages, 1265 KiB  
Article
Towards an Intrinsic Doppler Correction for X-ray Spectroscopy of Stored Ions at CRYRING@ESR
by Felix Martin Kröger, Günter Weber, Steffen Allgeier, Zoran Andelkovic, Sonja Bernitt, Alexander Borovik, Louis Duval, Andreas Fleischmann, Oliver Forstner, Marvin Friedrich, Jan Glorius, Alexandre Gumberidze, Christoph Hahn, Frank Herfurth, Daniel Hengstler, Marc Oliver Herdrich, Pierre-Michel Hillenbrand, Anton Kalinin, Markus Kiffer, Maximilian Kubullek, Patricia Kuntz, Michael Lestinsky, Bastian Löher, Esther Babette Menz, Tobias Over, Nikolaos Petridis, Philip Pfäfflein, Stefan Ringleb, Ragandeep Singh Sidhu, Uwe Spillmann, Sergiy Trotsenko, Andrzej Warczak, Binghui Zhu, Christian Enss and Thomas Stöhlkeradd Show full author list remove Hide full author list
Atoms 2023, 11(2), 22; https://doi.org/10.3390/atoms11020022 - 28 Jan 2023
Cited by 2 | Viewed by 1510
Abstract
We report on a new experimental approach for the Doppler correction of X-rays emitted by heavy ions, using novel metallic magnetic calorimeter detectors which uniquely combine a high spectral resolution with a broad bandwidth acceptance. The measurement was carried out at the electron [...] Read more.
We report on a new experimental approach for the Doppler correction of X-rays emitted by heavy ions, using novel metallic magnetic calorimeter detectors which uniquely combine a high spectral resolution with a broad bandwidth acceptance. The measurement was carried out at the electron cooler of CRYRING@ESR at GSI, Darmstadt, Germany. The X-ray emission associated with the radiative recombination of cooler electrons and stored hydrogen-like uranium ions was investigated using two novel microcalorimeter detectors positioned under 0 and 180 with respect to the ion beam axis. This new experimental setup allowed the investigation of the region of the N, M → L transitions in helium-like uranium with a spectral resolution unmatched by previous studies using conventional semiconductor X-ray detectors. When assuming that the rest-frame energy of at least a few of the recorded transitions is well-known from theory or experiments, a precise measurement of the Doppler shifted line positions in the laboratory system can be used to determine the ion beam velocity using only spectral information. The spectral resolution achievable with microcalorimeter detectors should, for the first time, allow intrinsic Doppler correction to be performed for the precision X-ray spectroscopy of stored heavy ions. A comparison with data from a previous experiment at the ESR electron cooler, as well as the conventional method of conducting Doppler correction using electron cooler parameters, will be discussed. Full article
(This article belongs to the Special Issue 20th International Conference on the Physics of Highly Charged Ions)
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<p>(<b>a</b>) Relativistic Doppler shift and (<b>b</b>) uncertainty of the Doppler correction of a transition with <math display="inline"><semantics> <mrow> <msub> <mi>E</mi> <mrow> <mi>γ</mi> <mo>,</mo> <mi>emit</mi> </mrow> </msub> <mo>=</mo> <mn>100</mn> </mrow> </semantics></math> keV photon energy in the emitter system: The contributions caused by uncertainties of the ion beam velocity <math display="inline"><semantics> <mrow> <mo>Δ</mo> <mi>β</mi> </mrow> </semantics></math> (black line) and the observation angle <math display="inline"><semantics> <mrow> <mo>Δ</mo> <mi>θ</mi> </mrow> </semantics></math> (red dotted line) are plotted separately. See text for details.</p>
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<p>Photograph of setup necessary to operate a maXs-type detector at a test stand on the campus of GSI, Darmstadt, Germany. The inset shows the <math display="inline"><semantics> <mrow> <mn>8</mn> <mo>×</mo> <mn>8</mn> </mrow> </semantics></math> absorber array.</p>
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<p>X-ray spectra of N, M → L transitions in U<math display="inline"><semantics> <msup> <mrow/> <mrow> <mn>90</mn> <mo>+</mo> </mrow> </msup> </semantics></math> obtained under 0<math display="inline"><semantics> <msup> <mrow/> <mo>∘</mo> </msup> </semantics></math> with respect to the ion beam axis in electron cooler devices. (<b>a</b>) CRYRING@ESR with ions at 10.225 MeV/u using a novel microcalorimeter. (<b>b</b>) ESR with ions at 43.59 MeV/u using a Ge(i) detector [<a href="#B3-atoms-11-00022" class="html-bibr">3</a>]. Note that the line positions in the laboratory frame differ because of the different ion beam velocities employed in the respective experiments.</p>
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<p>Simulated uncertainty in eV due to the Doppler correction of a transition line with an energy of 100 keV in the emitter system, i.e., a L → K transition in a high-<span class="html-italic">Z</span> ion. For each pair of differing numbers of detected photons and detector resolution, 500 individual N, M → L spectra were generated for the 0<math display="inline"><semantics> <msup> <mrow/> <mo>∘</mo> </msup> </semantics></math> position via a Monte Carlo method. For reference, the detector resolution and number of photons obtained from preliminary analysis of the experimental data are indicated by the red circle.</p>
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13 pages, 4058 KiB  
Article
Data Management of Microscale Reaction Calorimeter Using a Modular Open-Source IoT-Platform
by Timothy Aljoscha Frede, Constantin Weber, Tobias Brockhoff, Tassilo Christ, Denis Ludwig and Norbert Kockmann
Processes 2023, 11(1), 279; https://doi.org/10.3390/pr11010279 - 15 Jan 2023
Viewed by 2183
Abstract
Unifying research data collection methods and capturing data streams in an organized and standardized manner are becoming increasingly important in laboratories as digital processes and automation progressively shape the laboratory workflows. In this context, the Internet of Things (IoT) not only offers the [...] Read more.
Unifying research data collection methods and capturing data streams in an organized and standardized manner are becoming increasingly important in laboratories as digital processes and automation progressively shape the laboratory workflows. In this context, the Internet of Things (IoT) not only offers the opportunity to minimize time-consuming and repetitive tasks by delegating them to machines, but it also supports scientists in curating data. As a contribution to the establishment of IoT tools in academic research laboratories, a microscale reaction calorimeter is exemplarily connected to a modular open-source IoT-platform. The microcalorimeter’s process data is streamed to the data platform for data repository and analysis. Advantages of the platform from academia’s point of view are presented. Finally, the application of the platform was successfully tested with the hydrolysis of acetic anhydride. The data were accessed and analyzed exclusively via the IoT-platform, which provided important advantages for the operator in terms of standardized evaluation in just a few steps. Full article
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<p>Overview of the connection of the d-scover@ platform to existing smart equipment in laboratories.</p>
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<p>d-scover@’s underlying open-source tech-stack.</p>
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<p>Complete experimental setup used for calorimetric measurements including data flows.</p>
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<p>Dashboard for visualization of experimental data during calorimetric measurements such as volumetric flow rates and temperatures.</p>
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<p>Excerpt from the dashboard during the investigation of the oxidation of thiosulfate with hydrogen peroxide.</p>
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<p>Heat of reaction of hydrolysis of acetic anhydride at different temperature and volumetric flow rate. Literature value by Ładosz et al. [<a href="#B17-processes-11-00279" class="html-bibr">17</a>] is indicated by dashed black line.</p>
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<p>Specific heat flux profile of the SEs for the hydrolysis of acetic anhydride for varying volumetric flow rate and <math display="inline"><semantics> <mrow> <msub> <mi>T</mi> <mrow> <mi>i</mi> <mi>n</mi> </mrow> </msub> </mrow> </semantics></math> = <math display="inline"><semantics> <mrow> <msub> <mi>T</mi> <mrow> <mi>a</mi> <mi>m</mi> <mi>b</mi> <mi>i</mi> <mi>e</mi> <mi>n</mi> <mi>t</mi> </mrow> </msub> </mrow> </semantics></math> = 30 °C.</p>
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<p>Determined reaction enthalpy for hydrolysis of acetic anhydride from the experiments for the respective volumetric flow rates and temperatures in comparison with literature value by Ładosz et al. [<a href="#B17-processes-11-00279" class="html-bibr">17</a>], which is indicated by a dashed black line.</p>
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8 pages, 1480 KiB  
Article
X-ray Spectroscopy Based on Micro-Calorimeters at Internal Targets of Storage Rings
by Marc Oliver Herdrich, Daniel Hengstler, Andreas Fleischmann, Christian Enss, Alexandre Gumberidze, Pierre-Michel Hillenbrand, Paul Indelicato, Stephan Fritzsche and Thomas Stöhlker
Atoms 2023, 11(1), 13; https://doi.org/10.3390/atoms11010013 - 14 Jan 2023
Cited by 3 | Viewed by 1372
Abstract
With metallic-magnetic calorimeters (MMCs), promising detectors for high-precision X-ray spectrometry in atomic and fundamental physics experiments are available. In this work, we present a pilot experiment based on a maXs-30 type MMC-spectrometer for recording X-rays emitted in collisions of lithium-like uranium ions with [...] Read more.
With metallic-magnetic calorimeters (MMCs), promising detectors for high-precision X-ray spectrometry in atomic and fundamental physics experiments are available. In this work, we present a pilot experiment based on a maXs-30 type MMC-spectrometer for recording X-rays emitted in collisions of lithium-like uranium ions with a molecular nitrogen gas jet in the internal target of the ESR storage ring of the GSI. Sample spectra have been measured, and a multitude of X-ray transitions have been unambiguously identified. As a first test and for comparison with data recorded at an EBIT, the 2s Lamb shift in lithium-like uranium was estimated. Full article
(This article belongs to the Special Issue 20th International Conference on the Physics of Highly Charged Ions)
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<p>The two photos show the positioning of the MMC detector at the internal target of the ESR for the <math display="inline"><semantics> <msup> <mi mathvariant="normal">U</mi> <mrow> <mn>89</mn> <mo>+</mo> </mrow> </msup> </semantics></math> on <math display="inline"><semantics> <msub> <mi mathvariant="normal">N</mi> <mn>2</mn> </msub> </semantics></math> collision experiment from different viewing angles. On the left, the cryostat, which is required to operate the calorimeters, is visible. On the right, the helium-filled tube can be seen, which bridges the air gap to the ESR gas jet target chamber, which is also visible in the bottom photo.</p>
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<p>The spectrum contains X-ray transitions from the M- to the L-shell, resulting from the impact excitation of <math display="inline"><semantics> <msup> <mi mathvariant="normal">U</mi> <mrow> <mn>89</mn> <mo>+</mo> </mrow> </msup> </semantics></math> (red text) as well as the electron capture into excited states of <math display="inline"><semantics> <msup> <mi mathvariant="normal">U</mi> <mrow> <mn>88</mn> <mo>+</mo> </mrow> </msup> </semantics></math> (black text). For simplicity, the <math display="inline"><semantics> <mrow> <mn>1</mn> <msup> <mi mathvariant="normal">s</mi> <mn>2</mn> </msup> </mrow> </semantics></math> term has been omitted from all given electronic configurations of <math display="inline"><semantics> <msup> <mi mathvariant="normal">U</mi> <mrow> <mn>88</mn> <mo>+</mo> </mrow> </msup> </semantics></math> ions. Overlaid is a fit to a model containing all identified lines (red line).</p>
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<p>Shown is a spectrum that contains X-ray transitions of <math display="inline"><semantics> <msup> <mi mathvariant="normal">U</mi> <mrow> <mn>89</mn> <mo>+</mo> </mrow> </msup> </semantics></math> (red text) and <math display="inline"><semantics> <msup> <mi mathvariant="normal">U</mi> <mrow> <mn>88</mn> <mo>+</mo> </mrow> </msup> </semantics></math> (black text) from the N- and M-shells. Furthermore, a fit to a model consisting of all identified lines (red line) is presented. As an example, for the <math display="inline"><semantics> <mrow> <mn>3</mn> <msub> <mi mathvariant="normal">d</mi> <mrow> <mn>3</mn> <mspace width="-1.111pt"/> <mo>/</mo> <mspace width="-0.55542pt"/> <mn>2</mn> </mrow> </msub> <mo>→</mo> <mn>2</mn> <msub> <mi mathvariant="normal">p</mi> <mrow> <mn>1</mn> <mspace width="-1.111pt"/> <mo>/</mo> <mspace width="-0.55542pt"/> <mn>2</mn> </mrow> </msub> </mrow> </semantics></math> line, the individual fitting result is plotted (yellow, dashed line) in order to illustrate the discussed model function (Equation (<a href="#FD1-atoms-11-00013" class="html-disp-formula">1</a>)) that takes into account the different operation points of the detector.</p>
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<p>This spectrum contains X-ray transitions within the L-shell of <math display="inline"><semantics> <msup> <mi mathvariant="normal">U</mi> <mrow> <mn>89</mn> <mo>+</mo> </mrow> </msup> </semantics></math> (red text) as well as <math display="inline"><semantics> <msup> <mi mathvariant="normal">U</mi> <mrow> <mn>88</mn> <mo>+</mo> </mrow> </msup> </semantics></math> (black text). Additionally, a fit to a model containing all identified lines is plotted (red line).</p>
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<p>The two level schemes show the energy of the bound states of lithium-like (<b>left</b>) and beryllium-like uranium (<b>right</b>). Additionally, the X-ray transitions observed during the experiment are marked in the level schemes.</p>
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7 pages, 433 KiB  
Article
Exploitation of the Timing Capabilities of Metallic Magnetic Calorimeters for a Coincidence Measurement Scheme
by Philip Pfäfflein, Günter Weber, Steffen Allgeier, Sonja Bernitt, Andreas Fleischmann, Marvin Friedrich, Christoph Hahn, Daniel Hengstler, Marc Oliver Herdrich, Anton Kalinin, Felix Martin Kröger, Patricia Kuntz, Michael Lestinsky, Bastian Löher, Esther Babette Menz, Uwe Spillmann, Binghui Zhu, Christian Enss and Thomas Stöhlker
Atoms 2023, 11(1), 5; https://doi.org/10.3390/atoms11010005 - 31 Dec 2022
Cited by 1 | Viewed by 1471
Abstract
In this report, we compare two filter algorithms for extracting timing information using novel metallic magnetic calorimeter detectors, applied to the precision X-ray spectroscopy of highly charged ions in a storage ring. Accurate timing information is crucial when exploiting coincidence conditions for background [...] Read more.
In this report, we compare two filter algorithms for extracting timing information using novel metallic magnetic calorimeter detectors, applied to the precision X-ray spectroscopy of highly charged ions in a storage ring. Accurate timing information is crucial when exploiting coincidence conditions for background suppression to obtain clean spectra. For X-rays emitted by charge-changing interactions between ions and a target, this is a well-established technique when relying on conventional semiconductor detectors that offer a good temporal resolution. However, until recently, such a coincidence scheme had never been realized with metallic magnetic calorimeters, which typically feature much longer signal rise times. In this report, we present optimized timing filter algorithms for this type of detector. Their application to experimental data recently obtained at the electron cooler of CRYRING@ESR at GSI, Darmstadt is discussed. Full article
(This article belongs to the Special Issue 20th International Conference on the Physics of Highly Charged Ions)
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<p>Illustrationof the <math display="inline"><semantics> <mrow> <mi>k</mi> <mi>σ</mi> </mrow> </semantics></math> and CFD filter algorithms. Horizontal dashed lines represent threshold levels that the filtered signal is required to cross in order to initiate a trigger. Vertical dashed lines indicate the resulting arrival time of the pulse. Left: Entire raw detector signal as recorded by the data acquisition system (<math display="inline"><semantics> <mrow> <mi>t</mi> <mo>=</mo> <mn>0</mn> </mrow> </semantics></math> defined by the hardware trigger). Blue line in all plots: raw signal. The middle and right plots focus on the signal’s rising slope. Centre: Illustration of the <math display="inline"><semantics> <mrow> <mi>k</mi> <mi>σ</mi> </mrow> </semantics></math> trigger applied to the box-filtered signal (orange; see text for details). The threshold is set as a <span class="html-italic">k</span>-multiple of standard deviation <math display="inline"><semantics> <mi>σ</mi> </semantics></math> of the filtered signal trace (<span class="html-italic">k</span> is drastically exaggerated for illustrative purposes). Right: The CFD signal (green) is the sum of the raw signal (blue) and a scaled, delayed, and inverted copy of the raw signal (orange).</p>
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<p>Time-of-flight (TOF) spectra of photons emitted from U<math display="inline"><semantics> <msup> <mrow/> <mrow> <mn>90</mn> <mo>+</mo> </mrow> </msup> </semantics></math> (in four distinct regions of interest) relative to the arrival time of the corresponding down-charged ions. Data recorded by the 180° microcalorimeter and the particle detector. The data resulted from the application of the <math display="inline"><semantics> <mrow> <mi>k</mi> <mi>σ</mi> </mrow> </semantics></math> (left) and the CFD trigger (right). Noteworthy differences are the broader range of arrival times of the <math display="inline"><semantics> <mrow> <mi>k</mi> <mi>σ</mi> </mrow> </semantics></math> trigger, i.e., worse timing resolution, than that of the CFD trigger, as well as a pulse-amplitude-dependent shift in the mean arrival time recorded by the <math display="inline"><semantics> <mrow> <mi>k</mi> <mi>σ</mi> </mrow> </semantics></math> trigger. See text for details.</p>
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<p>Demonstration of the background reduction achieved by means of a coincidence measurement. The spectrum without application of a coincidence condition is marked as ‘raw’ and compared with the spectra with an appropriate coincidence condition for the <math display="inline"><semantics> <mrow> <mi>k</mi> <mi>σ</mi> </mrow> </semantics></math> trigger and the CFD trigger, respectively. The distinct spectral features are labelled. Those stemming from U<math display="inline"><semantics> <msup> <mrow/> <mrow> <mn>90</mn> <mo>+</mo> </mrow> </msup> </semantics></math> appear prominently in the coincident spectra.</p>
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10 pages, 1657 KiB  
Article
First Experiments with CRYRING@ESR
by Michael Lestinsky, Esther Babette Menz, Håkan Danared, Claude Krantz, Eva Lindroth, Zoran Andelkovic, Carsten Brandau, Angela Bräuning-Demian, Svetlana Fedotova, Wolfgang Geithner, Frank Herfurth, Anton Kalinin, Ingrid Kraus, Uwe Spillmann, Gleb Vorobyev and Thomas Stöhlker
Atoms 2022, 10(4), 141; https://doi.org/10.3390/atoms10040141 - 16 Nov 2022
Cited by 1 | Viewed by 1685
Abstract
The low-energy heavy ion storage ring CRYRING was transported from Stockholm to Darmstadt, modernized and reconfigured, and recommissioned as CRYRING@ESR. The machine is now in operation with all installations in service and is available as a user facility for experiments proposed through the [...] Read more.
The low-energy heavy ion storage ring CRYRING was transported from Stockholm to Darmstadt, modernized and reconfigured, and recommissioned as CRYRING@ESR. The machine is now in operation with all installations in service and is available as a user facility for experiments proposed through the SPARC collaboration. During the 2020–2022 period, we brought a number of experimental installations into service and used them to measure first data: the ultra-cold electron cooler for merged-beam electron–ion collisions, the gas jet target for atomic collisions, a next-generation microcalorimeter-based X-ray spectroscopy setup, and others. Ions can be injected either in low charge states from a local ion source through a 300 keV/u RFQ linac, or in high charge states from the GSI accelerator chain through ESR. This allows for very broad access to ions across the entire periodic table. CRYRING@ESR is able to de- or accelerate ions and cool and store beams of isotopically pure species in a desired charge state. While the analysis is still largely ongoing, the first experimental data already show that the machine reached its expected performance level, and our high expectations regarding achievable resolution in spectroscopy experiments have been fulfilled. With access to new classes of ions available through ESR injection and a new generation of experimental instrumentation, CRYRING@ESR is a unique facility for experiments with heavy, highly charged ions. Here, we will review our present setup and machine performance, discuss the data from our first commissioning experiments and briefly preview the upcoming new installations for the coming years. Full article
(This article belongs to the Special Issue 20th International Conference on the Physics of Highly Charged Ions)
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Figure 1
<p>Schematic overview of CRYRING@ESR. The four areas relevant to experimental installations are highlighted.</p>
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<p>Energy-dependent ion beam lifetimes for D<math display="inline"><semantics> <msup> <mrow/> <mo>+</mo> </msup> </semantics></math> (<b>left</b>) and Ne<math display="inline"><semantics> <msup> <mrow/> <mrow> <mn>3</mn> <mo>+</mo> </mrow> </msup> </semantics></math> (<b>right</b>). Measured data (red dot symbols) are compared with our simple beamcalc model [<a href="#B15-atoms-10-00141" class="html-bibr">15</a>] (solid green line).</p>
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<p>Top view of the electron cooler section with a schematic of the setup for X-ray spectroscopy (left image). The right image schematically illustrates an example cascade pathway for X-ray emission following the capture of a free electron into a bare ion forming an H-like X-ray-emitting product ion.</p>
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<p>X-ray spectrum for Pb<math display="inline"><semantics> <mrow> <msup> <mrow/> <mrow> <mn>82</mn> <mo>+</mo> </mrow> </msup> <mo>+</mo> <msup> <mi mathvariant="normal">e</mi> <mo>−</mo> </msup> <mo>→</mo> <msup> <mi>Pb</mi> <mrow> <mn>81</mn> <mo>+</mo> </mrow> </msup> <mo>+</mo> <mi>h</mi> <mi>ν</mi> </mrow> </semantics></math> measured with a Ge(i) detector at the 0° window and in coincidence with particle detection at detector position ‘B’ as indicated in <a href="#atoms-10-00141-f003" class="html-fig">Figure 3</a>. A detailed analysis of the X-ray spectra in forward and backward directions is given in [<a href="#B8-atoms-10-00141" class="html-bibr">8</a>].</p>
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<p>Schematic potential ramp on the electron cooler gun in DR experiments.</p>
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<p>Merged-beams recombination rate coefficient for DR of Ne<math display="inline"><semantics> <mrow> <msup> <mrow/> <mrow> <mn>7</mn> <mo>+</mo> </mrow> </msup> <mo>+</mo> <msup> <mi>e</mi> <mo>−</mo> </msup> <mo>→</mo> <msup> <mi>Ne</mi> <mrow> <mn>6</mn> <mo>+</mo> </mrow> </msup> </mrow> </semantics></math>. The vertical lines at the top of the graph indicate the positions of Rydberg levels populated by the dielectronic capture. Panel (<b>a</b>) shows our new data (black line) with the previous results from Stockholm (red line) [<a href="#B23-atoms-10-00141" class="html-bibr">23</a>] for the same species. Panel (<b>b</b>) shows our data in comparison with theoretical data [<a href="#B24-atoms-10-00141" class="html-bibr">24</a>]: A theoretical merged-beam rate coefficient, convolved with the electron temperatures for our cooler setting is shown as a red line, its underlying cross section in natural line widths is indicated by the teal filled area. Please see the main text for details. The final analysis will be given in [<a href="#B29-atoms-10-00141" class="html-bibr">29</a>].</p>
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12 pages, 1174 KiB  
Article
Changes in Antioxidative, Oxidoreductive and Detoxification Enzymes during Development of Aphids and Temperature Increase
by Roma Durak, Jan Dampc, Monika Kula-Maximenko, Mateusz Mołoń and Tomasz Durak
Antioxidants 2021, 10(8), 1181; https://doi.org/10.3390/antiox10081181 - 25 Jul 2021
Cited by 14 | Viewed by 2803
Abstract
Temperature, being the main factor that has an influence on insects, causes changes in their development, reproduction, winter survival, life cycles, migration timing, and population dynamics. The effects of stress caused by a temperature increase on insects may depend on many factors, such [...] Read more.
Temperature, being the main factor that has an influence on insects, causes changes in their development, reproduction, winter survival, life cycles, migration timing, and population dynamics. The effects of stress caused by a temperature increase on insects may depend on many factors, such as the frequency, amplitude, duration of the stress, sex, or the developmental stage of the insect. The aim of the study was to determine the differences in the enzymatic activity of nymphs and adult aphids Aphis pomi, Macrosiphum rosae and Cinara cupressi, and changes in their response to a temperature increase from 20 to 28 °C. The activity of enzymatic markers (superoxide dismutase (SOD), catalase (CAT), glutathione S-transferase (GST), β-glucosidase, polyphenol oxidase (PPO) and peroxidase (POD)) in aphid tissues was analysed for three constant temperatures. The results of our research showed that the enzymatic activity of aphids (measured as the activity of antioxidant, detoxifying and oxidoreductive enzymes) was mainly determined by the type of morph. We observed a strong positive correlation between the activity of the detoxifying and oxidoreductive enzymes and aphids’ development, and a negative correlation between the activity of the antioxidant enzymes and aphids’ development. Moreover, the study showed that an increase in temperature caused changes in enzyme activity (especially SOD, CAT and β-glucosidase), which was highest at 28 °C, in both nymphs and adults. Additionally, a strong positive correlation between metabolic activity (heat flow measured by microcalorimeter) and longevity was observed, which confirmed the relationship between these characteristics of aphids. The antioxidant enzyme system is more efficient in aphid nymphs, and during aphid development the activity of antioxidant enzymes decreases. The antioxidant enzyme system in aphids appears to deliver effective protection for nymphs and adults under stressful conditions, such as high temperatures. Full article
(This article belongs to the Special Issue Oxidative Stress Response in a Wide Variety of Insect Species)
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<p>Principal component analysis (PCA) of enzyme data from three aphid species. (<b>A</b>) The first axis (PC1) segregated the enzyme data according to aphid developmental stage, and to a lesser extent, according to temperature (inverted triangle—nymphs, diamond—adults). (<b>B</b>) The second axis (PC2) segregated the enzyme data according to temperature (dot—20 °C, triangle—25 °C, square—28 °C). The groups are marked with 95% ellipses.</p>
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<p>Schematic diagram of the main changes in aphid’s enzyme activity in response to course of development and temperature. G1, G2 and G3 groups of enzymes: antioxidant, detoxifying and oxidoreductive, respectively. Enzyme activity responses were ranked based on Spearman’s <span class="html-italic">rho</span> correlation coefficients given in <a href="#antioxidants-10-01181-t003" class="html-table">Table 3</a>. Correlation coefficients with values indicating at least an average correlation (0.3 ≤ <span class="html-italic">rho</span>) were taken into consideration. See <a href="#antioxidants-10-01181-t003" class="html-table">Table 3</a> for detailed results.</p>
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