Monica G. Bobra, Stuart J. Mumford, Russell J. Hewett, Steven D. Christe, Kevin Reardon, Sabrina Savage, Jack Ireland, Tiago M. D. Pereira, Bin Chen, David Pérez-Suárez
The SunPy Project developed a 13-question survey to understand the software and hardware usage of the solar physics community. 364 members of the solar physics community, across 35 countries, responded to our survey. We found that 99$\pm$0.5% of respondents use software in their research and 66% use the Python scientific software stack. Students are twice as likely as faculty, staff scientists, and researchers to use Python rather than Interactive Data Language (IDL). In this respect, the astrophysics and solar physics communities differ widely: 78% of solar physics faculty, staff scientists, and researchers in our sample uses IDL, compared with 44% of astrophysics faculty and scientists sampled by Momcheva and Tollerud (2015). 63$\pm$4% of respondents have not taken any computer-science courses at an undergraduate or graduate level. We also found that most respondents utilize consumer hardware to run software for solar-physics research. Although 82% of respondents work with data from space-based or ground-based missions, some of which (e.g. the Solar Dynamics Observatory and Daniel K. Inouye Solar Telescope) produce terabytes of data a day, 14% use a regional or national cluster, 5% use a commercial cloud provider, and 29% use exclusively a laptop or desktop. Finally, we found that 73$\pm$4% of respondents cite scientific software in their research, although only 42$\pm$3% do so routinely.
Multi-height Measurements Of The Solar Vector Magnetic Field: A White Paper Submitted To The Decadal Survey For Solar And Space Physics (Heliophysics) 2024-2033
The weird and the wonderful in our Solar System: Searching for serendipity in the Legacy Survey of Space and Time
University of Oxford（牛津大学）；Breakthrough Listen, University of California, Berkeley（加州大学伯克利分校突破聆听计划）；SETI Institute（地外文明搜索研究所）；University of Washington（华盛顿大学）
An all-sky catalog of solar-type dwarfs for exoplanetary transit surveys
未来大多数旨在发现凌日系外行星的巡天，包括TESS和PLATO，将瞄准明亮（V<13）和附近的太阳型恒星，其光谱型晚于F5。为了提高识别凌日的概率，这些巡天必须覆盖天空中非常大的区域，因为明亮目标的面密度本来就很低。不幸的是，没有一个现有的恒星参数目录既深又宽，足以提供一个均匀的输入列表。由于第一个可用于此目的的盖亚数据发布预计不会早于2017年底发布，我们设计了一种改进的减少自行方法，通过将UCAC 4自行与APASS DR 6测光相结合，并依赖RAVE DR 4作为外部校准器来区分后期场矮星和巨星。这个名为UCAC 4-RPM的输出，是一个公开的、完整的太阳型矮星的全天目录，最低可达V<13.5，加上logg>3.0的亚巨星。相对较低的污染量（定义为假阳性的比例; <30%）也使UCAC 4-RPM成为过去和正在进行的地面凌日调查的有用工具，这些调查需要丢弃来自早期类型或巨星的候选信号。作为一个应用程序，我们展示了UCAC 4-RPM如何支持TESS（这将映射几乎整个天空）输入目录和PLATO的输入目录的准备，计划调查超过一半的整个天空与精致的光度精度。
Seismic Monitoring of the Sun's Far Hemisphere: A Crucial Component in Future Space Weather Forecasting (A White Paper Submitted to the Decadal Survey for Solar and Space Physics (Heliophysics) -- SSPH 2024-2033)
Improving the Understanding of Subsurface Structure and Dynamics of Solar Active Regions (A white paper submitted to the decadal survey for solar and space Physics (Heliophysics) -- SSPH 2024-2033)
