| 项目编号: | 1440095
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| 项目名称: | Collaborative Proposal: ATREX - integrated open source data analysis software for mineral and environmental sciences |
| 作者: | Lars Ehm
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| 承担单位: | SUNY at Stony Brook
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| 批准年: | 2013
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| 开始日期: | 2014-09-01
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| 结束日期: | 2017-08-31
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| 资助金额: | USD128804
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| 资助来源: | US-NSF
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| 项目类别: | Standard Grant
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| 国家: | US
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| 语种: | 英语
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| 特色学科分类: | Geosciences - Earth Sciences
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| 英文关键词: | environmental science
; robust bayesian analysis
; data analysis
; collaborative effort
; database access capability
; available mineralogical database
; free american mineralogist crystal structure database
; software component
; real time analysis
; such real time analysis capability
; experiment
; mineral physics
; interactive data language
; open-source python software package atrex
; real time data analysis
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| 英文摘要: | Synchrotron radiation user facilities are critical resourcces which enable state-of-the-art research and training in mineralogy, mineral physics and environmental science. Access to these facilties is very competitive and time allocated for experiments is constrained. The most popular and fundamental type of experiment is X-ray diffraction, which produces information on crystal structure, symmetry, chemical bonding, composition and density of minerals and other crystalline solids. Modern synchrotron-based diffraction experiments are typically conducted with the use of area detectors, in which case the data is recorded as digital diffraction images. Technology used in synchrotron experiments evolves rapidly increasing the speed of the data collection and producing massive volumes of experimental data, posing new serious challenges for data analysis. The experiments are often decision-driven, and require at least partial real time data interpretation to guide the experimenter. Software offering such real time analysis capabilities is currently not available. This proposal is a collaborative effort to provide this scientific community with easily accessible tools and training opportunities for using these codes.
This project focuses on a combination of novel tools for diffraction-based synchrotron research in Earth and environmental sciences including: (IM1) New capabilities for structure determination of unknown phases and identification of known phases in natural and synthetic samples; (IM2) Opening new possibilities for real time analysis in studies of solid state dynamic processes; (IM3) Robust Bayesian analysis of outliers, uncertainties and missing data; and (IM4) Creation of new free advanced tools for utilizing the available mineralogical database in synchrotron research. Utilizing a combination of existing, well-tested and widely used software components developed in the Interactive Data Language , Python, the project creates a new integrated multiplatform, open-source Python software package ATREX (Advanced Tools for Research in Extreme Xtallography), with unique capabilities to process diffraction image data from samples in all forms from glasses and melts, bulk powders, though coarse multi grains, to single crystals, which will support new data types produced by novel ultrafast X-ray imaging detectors, offer extensive automated serial processing capabilities for massive data sets and will allow real time data analysis for time-constrained decision-driven synchrotron experiments. ATREX will include database access capabilities utilizing the free American Mineralogist Crystal Structure Database. |
| 资源类型: | 项目
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| 标识符: | http://119.78.100.158/handle/2HF3EXSE/95563
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| Appears in Collections: | 影响、适应和脆弱性
气候减缓与适应
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| Recommended Citation: | |
Lars Ehm. Collaborative Proposal: ATREX - integrated open source data analysis software for mineral and environmental sciences. 2013-01-01.
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