FOXSI Detector Data from 2018-2019 Advanced Light Source Experiments

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2018-03-27
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

Type

Dataset
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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Suggested citation

Glesener, Lindsay E.; Duncan, Jessie M.. (2022). FOXSI Detector Data from 2018-2019 Advanced Light Source Experiments. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/KKFH-5M05.
View/Download file
File View/OpenDescriptionSize
FOXSI_ALS_March2018.zipData files from March 2018171.5 MB
ALS_DATA_May2018.zipData files from May 2018929.48 MB
ALS_Data_April2019.zipData files from April 20192.69 GB
March_2018_All.csvCSV data description file for March 201814.33 KB
May_2018_All.csvCSV data description file for May 201876.37 KB
April_2019_All.csvCSV data description file for April 2019283.46 KB
Readme.txtDescription of the data18.32 KB

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