Automated Author ProfileGastaldo, Loredana
Kirchhoff Institute for Physics, Heidelberg University, Germany
Gastaldo, Loredana
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.5 (sum of 4 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains the raw, unprocessed measurement data underlying the results presented in the publication:<br><br><b>Advancing towards cancer theragnostic by probing the ²²⁵Ac decay chain with ultra-high-resolution metallic magnetic calorimeter based detectors</b><br><h3>Files</h3>The dataset is organized into two primary folders for the two measurement series:<br><br><i>2024_09-Tanzboden:</i> Comparison measurements with ⁵⁵Fe<br><i>2024_09-Ac225:</i> Measurements with ⁵⁵Fe and ²²⁵Ac, or ⁵⁵Fe, ²⁴¹Am, and ¹³³Ba<br><br>For each measurement series, the combined metadata (<i>summary.csv</i>, <i>settings.csv</i>, and <i>log.csv</i>) as well as the data for the first measurement are provided. The full dataset, totaling approximately 0.8 TB, is long-time archived at heiARCHIVE and is available upon request. A measurement contains the individual triggered signals recorded from the MMC-based detector array. <br><br>The processed spectra are not included here but are provided in the supplement dataset. For documentation on how to access, process, and analyze these raw measurements, please refer to the data analysis included in that supplement.<h3>Data Structure</h3>A measurement is a folder containing a <i>Summary.txt</i> file with general metadata, a <i>Log.txt</i> file with recording logs, and a subfolder for each ADC channel. Each ADC folder contains its configuration in <i>ScopeSettings.txt</i> as well as the folders <i>POSP</i>, <i>BASE</i>, and <i>NEGP</i> for positive, undefined, and negative polarity of the signals. Within the polarity folders, the signals are stored as <i>.sraw</i> files inside <i>.zip</i> archives. <br><br>Each line of a <i>*.sraw</i> signal is defined by a specific identifier. Lines starting with <i>H</i> contain general header information formatted as <i>H [Key]: [Value]</i>. The line starting with <i>S</i> marks the binary stream containing the raw signal samples. Lines starting with <i>C</i> contain comments, formatted similarly to the header as <i>C [Number]: [String]</i>.<h3>Contact</h3>For questions regarding the dataset, or to request access to the full 0.8 TB raw data archive, please contact the corresponding authors of the publication.<br><br>
Authors
- Maurer, Kiara ;
- Unger, Daniel ;
- Behe, Martin ;
- Knecht, Andreas ;
- von Schoeler, Katharina ;
- Hengstler, Daniel ;
- Vitova, Tonya ;
- Benešová-Schäfer, Martina ;
- Fleischmann, Andreas ;
- Gastaldo, Loredana ;
- Wangler, Carmen ;
- Enss, Christian ;
- Schacherl, Bianca
This dataset contains the processed data and full analysis workflow underlying the results presented in the publication:Advancing towards cancer theragnostic by probing the ²²⁵Ac decay chain with ultra-high-resolution metallic magnetic calorimeter based detectorsFilesThe dataset is organized into two archive files:analysis.zip: The full Python-based data reduction and analysis pipelinedata.zip: The processed spectra, OriginLab project file, and theoretical spectraUsing the Jupyter notebooks, the ADC calibration file, and the development version of the fitfiles library included in analysis.zip, the processed data contained in data.zip can be reproduced from the individual triggered MMC signals. The processed data can be used to generate the figures in the publication. The individual triggered signals are not included here but are provided separately.Python Data Reduction and AnalysisThe archive analysis.zip contains the complete data analysis workflow. Inside the analysis directory, the two subfolders 2024_09-Ac225 and 2024_09-Tanzboden_Fe55 include multiple Jupyter notebooks (.ipynb) documenting the full data-processing chain. These notebooks perform all steps required to generate the calibrated energy spectra shown in the publication, including fitting, filtering, corrections, and calibration. A development version of the fitfiles Python library, used throughout the notebooks, is included. The necessary ADC calibration file is provided in the files folder as beamtime.parquet.Processed Spectra and OriginLab AnalysisThe archive data.zip contains the processed spectra and the OriginLab project (.opju) used to create the figures in the publication. These files represent the spectra derived from the analysis workflow. The included files are:originlab.opju: OriginLab project containing the full spectral analysis225Ac55Fe.csv: Energy spectrum of the ²²⁵Ac measurement with ⁵⁵Fe calibration 55Fe241Am133Ba.csv: Energy spectrum of the ⁵⁵Fe, ²⁴¹Am, and ¹³³Ba calibrationNucleonica.csv: Theoretical line energies and intensities exported from NucleonicaXrays.csv: Computed characteristic X-ray energies and transition probabilitiesSDD.csv: Comparison spectrum of the same ²²⁵Ac sample measured with an SDD detectorContactFor questions regarding the dataset or analysis workflow, please contact the corresponding authors of the publication.
Authors
- Maurer, Kiara ;
- Unger, Daniel ;
- Behe, Martin ;
- Knecht, Andreas ;
- von Schoeler, Katharina ;
- Hengstler, Daniel ;
- Vitova, Tonya ;
- Benešová-Schäfer, Martina ;
- Fleischmann, Andreas ;
- Gastaldo, Loredana ;
- Wangler, Carmen ;
- Enss, Christian ;
- Schacherl, Bianca
This dataset contains the data underlying the results presented in the publication:Advancing towards cancer theragnostic by probing the ²²⁵Ac decay chain with ultra-high-resolution metallic magnetic calorimeter based detectorsThe dataset is provided in the archive data.zip. It contains the energy spectra, an OriginLab project file (*.opju), and the theoretical reference lines. Using these files, all figures shown in the publication can be reproduced.FilesThe archive data.zip includes the following files:originlab.opju: OriginLab project containing the full spectral analysis225Ac55Fe.csv: Energy spectrum of the ²²⁵Ac measurement with ⁵⁵Fe calibration 55Fe241Am133Ba.csv: Energy spectrum of the ⁵⁵Fe, ²⁴¹Am, and ¹³³Ba calibrationNucleonica.csv: Theoretical line energies and intensities exported from NucleonicaXrays.csv: Computed characteristic X-ray energies and transition probabilitiesSDD.csv: Comparison spectrum of the same ²²⁵Ac sample measured with an SDD detectorContactFor questions regarding the dataset, please contact the corresponding authors of the publication.
Authors
- Maurer, Kiara ;
- Unger, Daniel ;
- Behe, Martin ;
- Knecht, Andreas ;
- von Schoeler, Katharina ;
- Hengstler, Daniel ;
- Vitova, Tonya ;
- Benešová-Schäfer, Martina ;
- Fleischmann, Andreas ;
- Gastaldo, Loredana ;
- Wangler, Carmen ;
- Enss, Christian ;
- Schacherl, Bianca
This dataset contains the processed data and full analysis workflow underlying the results presented in the publication:Advancing towards cancer theragnostic by probing the ²²⁵Ac decay chain with ultra-high-resolution metallic magnetic calorimeter based detectorsFilesThe dataset is organized into two archive files:analysis.zip: The full Python-based data reduction and analysis pipelinedata.zip: The processed spectra, OriginLab project file, and theoretical spectraUsing the Jupyter notebooks, the ADC calibration file, and the development version of the fitfiles library included in analysis.zip, the processed data contained in data.zip can be reproduced from the individual triggered MMC signals. The processed data can be used to generate the figures in the publication. The individual triggered signals are not included here but are provided separately.Python Data Reduction and AnalysisThe archive analysis.zip contains the complete data analysis workflow. Inside the analysis directory, the two subfolders 2024_09-Ac225 and 2024_09-Tanzboden_Fe55 include multiple Jupyter notebooks (.ipynb) documenting the full data-processing chain. These notebooks perform all steps required to generate the calibrated energy spectra shown in the publication, including fitting, filtering, corrections, and calibration. A development version of the fitfiles Python library, used throughout the notebooks, is included. The necessary ADC calibration file is provided in the files folder as beamtime.parquet.Processed Spectra and OriginLab AnalysisThe archive data.zip contains the processed spectra and the OriginLab project (.opju) used to create the figures in the publication. These files represent the spectra derived from the analysis workflow. The included files are:originlab.opju: OriginLab project containing the full spectral analysis225Ac55Fe.csv: Energy spectrum of the ²²⁵Ac measurement with ⁵⁵Fe calibration 55Fe241Am133Ba.csv: Energy spectrum of the ⁵⁵Fe, ²⁴¹Am, and ¹³³Ba calibrationNucleonica.csv: Theoretical line energies and intensities exported from NucleonicaXrays.csv: Computed characteristic X-ray energies and transition probabilitiesSDD.csv: Comparison spectrum of the same ²²⁵Ac sample measured with an SDD detectorContactFor questions regarding the dataset or analysis workflow, please contact the corresponding authors of the publication.
Authors
- Maurer, Kiara ;
- Unger, Daniel ;
- Behe, Martin ;
- Knecht, Andreas ;
- von Schoeler, Katharina ;
- Hengstler, Daniel ;
- Vitova, Tonya ;
- Benešová-Schäfer, Martina ;
- Fleischmann, Andreas ;
- Gastaldo, Loredana ;
- Wangler, Carmen ;
- Enss, Christian ;
- Schacherl, Bianca