FOXSI Detector Data from 2018-2019 Advanced Light Source Experiments
2022-06-13
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2018-03-27
2019-04-20
2019-04-20
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FOXSI Detector Data from 2018-2019 Advanced Light Source Experiments
Published Date
2022-06-13
Author Contact
Duncan, Jessie, M
dunca369@umn.edu
dunca369@umn.edu
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Dataset
Experimental Data
Experimental Data
Abstract
This dataset consists of several hundreds of data files taken by the Focusing Optics X-ray Solar Imager (FOXSI) sounding rocket x-ray detectors during tests at the Advanced Light Source (ALS) at the Lawrence Berkeley National Laboratory. These tests involve illumination of the FOXSI semiconductor double-sided strip detectors with a fine, collimated beam at known X-ray energies produced by the ALS synchrotron. Some of the tests involve fine scans across the surface of the detectors, characterizing spatial dependence of detector performance, including at multiple locations within specific strips. The purpose of these experiments was to improve characterization of the detectors both before and after the flight of FOXSI-3. This characterization includes determining detector quantum efficiency, as well as measuring charge sharing between detector strips.
Description
There were three experimental runs (March, May 2018, April 2019). Each is documented individually in the readme, in chronological order. Data files are provided in three compressed folders (one for each experimental run). A .CSV file is also included for each experimental run, which gives file-specific parameters (e.g. beam position, energy, etc).
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Glesener, Lindsay E.; Duncan, Jessie M.. (2022). FOXSI Detector Data from 2018-2019 Advanced Light Source Experiments. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/KKFH-5M05.
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FOXSI_ALS_March2018.zip
Data files from March 2018
(171.5 MB)
ALS_DATA_May2018.zip
Data files from May 2018
(929.48 MB)
ALS_Data_April2019.zip
Data files from April 2019
(2.69 GB)
March_2018_All.csv
CSV data description file for March 2018
(14.33 KB)
May_2018_All.csv
CSV data description file for May 2018
(76.37 KB)
April_2019_All.csv
CSV data description file for April 2019
(283.46 KB)
Readme.txt
Description of the data
(18.32 KB)
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