The Carbon Footprint of Astronomical Research Infrastructures

<strong>Content of the directory</strong> This record contains code and data that were used for the paper <strong>Knoedlseder, J., et al. Estimate of the carbon footprint of astronomical research infrastructures, Nature Astronomy, in press</strong>. <strong>Data</strong> The file <em>ri-carbon-footprint.xls</em> contains all data that were used for the analysis in the paper. The file is an excel file containing the following tabs: Description - a description of the excel file Summary - summary of the findings of the carbon footprint estimates Carbon footprint (ground) - Master table for carbon footprint of ground-based observatories Carbon footprint (space) - Master table for carbon footprint of space missions Emission factors - Collection of emission factors used as input to the study Active infrastructures - List of astronomical facilities that were active worldwide in 2019 Community - Astronomical community and IAU members for several countries (Ahn, S.H., Economic Power, Population, and Size of Astronomical Community, JKAS, 52, 159 (2019). <strong>Code</strong> The record contains three Python scripts. <strong><em>adsquery.py</em></strong> Script to query the ADS database to extract number of publications for a given facility. The script also determines the number of unique authors. It returns global numbers since the start of the mission or observatory operations, and numbers restricted to IRAP. <em><strong>bootstrap.py</strong></em> Script to bootstrap the considered facilities to extrapolate the carbon footprint to all infrastructures that exist worldwide. The script also produces Figure 1 of the paper. <strong><em>carbonintensity.py</em></strong> Script to generate various figures from the excel data, and in particular the carbon intensity Figure 2 of the paper. Running the script requires the "xlrd" Python module that can be installed via conda.### 数据集目录内容 本数据集包含用于论文《Knoedlseder, J. 等. 天文研究基础设施的碳足迹估算》[发表于《自然·天文学》（*Nature Astronomy*，已录用待刊）]的代码与配套数据。 #### 数据文件 文件`ri-carbon-footprint.xls`包含本论文分析所用的全部数据，该Excel文件包含以下工作表： 1. **Description**：本Excel文件的说明文档 2. **Summary**：碳足迹估算结果的总览 3. **Carbon footprint (ground)**：地面观测台站碳足迹主数据表 4. **Carbon footprint (space)**：空间任务碳足迹主数据表 5. **Emission factors**：本研究采用的排放因子合集 6. **Active infrastructures**：2019年全球范围内启用的天文设施列表 7. **Community**：多国天文社群与国际天文学联合会（IAU，International Astronomical Union）成员数据，数据引自Ahn, S.H.的《经济实力、人口与天文社群规模》[《韩国天文学会期刊》（*JKAS*），第52卷，第159页，2019年] #### 代码文件 本数据集包含三个Python脚本： 1. **`adsquery.py`**：用于查询天文数据系统（ADS，Astrophysics Data System）数据库，提取指定设施的论文发表数量并统计唯一作者人数；脚本可返回该任务或观测台站自运营以来的全局统计数据，以及限定于IRAP范围内的统计结果。 2. **`bootstrap.py`**：对目标设施开展自助法分析，将碳足迹估算结果外推至全球所有现存基础设施，并生成论文中的图1。 3. **`carbonintensity.py`**：从Excel数据中生成各类可视化图表，特别是论文中的碳强度图2；运行该脚本需通过conda安装`xlrd` Python库。