spherical：VLT/SPHERE高对比度成像的综合数据库与自动化处理流程
spherical: A Comprehensive Database and Automated Pipeline for VLT/SPHERE High-Contrast Imaging
AI总结：
spherical为VLT/SPHERE高对比度成像提供综合数据库和自动化处理流程，整合约11500个观测序列，降低端到端分析门槛，支持系外行星群体研究和大气表征。
摘要：
我介绍了spherical（https://github.com/m-samland/spherical），这是一个为ESO VLT/SPHERE高对比度成像仪设计的软件包和数据库。SPHERE已产生了世界上最大的系外行星和星周盘直接成像观测档案，但其异构的元数据和碎片化的处理工具使得端到端分析劳动密集。spherical通过结合以下两点来解决这一问题：（1）一个经过整理、定期更新且可搜索的SPHERE所有观测数据库，并与恒星属性和观测条件交叉匹配；（2）一个基于Python、脚本驱动的积分场光谱仪（IFS）处理流程。该数据库存档于Zenodo（https://doi.org/10.5281/zenodo.15147730），并可从ESO档案中重现，目前包含约6000个IRDIS双波段成像序列、约1000个IRDIS偏振测量序列和约4500个IFS序列，并计划增加其他模式（ZIMPOL、IRDIS-LSS、SAM）。该流程自动化了原始数据检索、校准和IFS处理（采用改编的开源CHARIS仪器流程），随后进行天体测量和光度校准，并使用TRAP进行后处理以进行伴星探测和光谱提取。spherical降低了从原始文件到科学就绪产品的门槛，实现了同质化群体研究、伴星大气特征描述和高效巡天后续观测，同时与社区工具如VIP、pyKLIP和IRDAP保持互操作性。
英文摘要：
I present spherical (https://github.com/m-samland/spherical), a software package and database for the ESO VLT/SPHERE high-contrast imager. SPHERE has produced the world's largest archive of direct imaging observations of exoplanets, substellar companions, and circumstellar disks, but the archive can only be searched by header keywords, and raw data and calibrations must be retrieved by hand. spherical combines a curated, searchable database of the complete SPHERE observation history with automated reduction pipelines for the Integral Field Spectrograph (IFS) and for IRDIS dual-band imaging (DBI). Observations are cross-matched against SIMBAD, Gaia DR3, and the MOCA database, so samples can be selected by stellar properties, age, and association membership as well as by observing mode and conditions. The August 2026 release, archived on Zenodo (https://doi.org/10.5281/zenodo.15147730), covers 2014 May to 2026 August and includes 6101 IRDIS DBI, 4733 IFS, 1205 IRDIS polarimetric, and 355 sparse aperture masking sequences. Each release comes with metadata, such that an analysis can be traced to the exact database state it used. The pipelines download raw data and calibrations from the ESO archive, extract IFS spectral cubes with the adapted open-source CHARIS pipeline, calibrate IRDIS data in a parallel workflow, and post-process both with the TRAP algorithm for companion detection, astrometry, and contrast spectra. The code is written in Python and installs with pip, without ESO pipeline software, and the IRDIS reduction reproduces the published photometry and astrometry of 51 Eridani b. spherical makes it practical to assemble homogeneous samples for population studies and to reprocess the full archive uniformly, and it can also serve as the retrieval and pre-processing stage for community tools such as VIP, pyKLIP, and IRDAP.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
