Data release: Detection of GW200105 with a targeted eccentric search

Data behind the figures in Phukon et al., arxiv:2512.10803, and the scripts to generate them. Figure 1: Data files: Eccentric_template_bank_GW200105_search.hdf, Quasicircular_template_bank_GW200105_search.hdf Description of files: The file Eccentric_template_bank_GW200105_search.hdf contains the parameters of the template bank used in the eccentric search. The waveforms of templates are modeled by the TaylorF2Ecc approximant. The datasets with keys mass1, mass2, spin1z, spin2z, and eccentricity provide parameter values for the masses, spins of the components of non-precessing templates, and eccentricity, respectively. Existing datasets in the quasicircular template bank in Quasicircular_template_bank_GW200105_search.hdf hold the same meaning as in the eccentric bank. Plotting script, fig1.py: Figure 1 is made using the eccentric template bank, best-fit eccentric template parameters with GW200105 provided in Table II of Phukon et al., arxiv:2512.10803, and the median values of posteriors for GW200105 from Morras et al., arxiv:2503.15393. Figures 2 and 3: Data files: H1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf, H1L1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf, L1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf, H1L1V1-EXCLUDE_ZEROLAG_FULL_DATA_3DET_ECCENTRIC_SEARCH.hdf, H1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf, H1L1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf, L1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf, H1L1V1-EXCLUDE_ZEROLAG_FULL_DATA_3DET_QUASICIRCULAR_SEARCH.hdf, H1_triggers_with_background_eccentric_search.hdf (not provided here), L1_triggers_with_background_eccentric_search.hdf (not provided here), V1_triggers_with_background_eccentric_search.hdf (not provided here), H1_triggers_with_background_quasicircular_search.hdf (not provided here), L1_triggers_with_background_quasicircular_search.hdf (not provided here), V1_triggers_with_background_quasicircular_search.hdf (not provided here), H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_ECCENTRIC_SEARCH.hdf, H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_QUASICIRCULAR_SEARCH.hdf, H1L1V1_INJ_FIND_QUASICIRCULAR_INJECTIONS_ECCENTRIC_SEARCH.hdf, H1L1V1_INJ_FIND_QUASICIRCULAR_INJECTIONS_QUASICIRCULAR_SEARCH.hdf Description of files: In files DETECTOR_COMBINATION-EXCLUDE_ZEROLAG_FULL_DATA_#DET_SEARCH-TYPE.hdf, clustered triggers used in background constructions for various detector combinations for searches are provided. Here DETECTOR_COMBINATION represents H1, L1, V1, H1L1, H1V1, L1V1, H1L1V1 with the corresponding number of detectors #DET in the file name string for respective searches #DET_SEARCH-TYPE. The files that contain summary statistics of eccentric and quasi-circular injection recovery in both searches are given by H1L1V1_INJ_FIND_INJECTIONS-TYPE_SEARCH-TYPE.hdf, where INJECTIONS-TYPE specifies either ECCENTRIC_INJECTIONS and QUASICIRCULAR_INJECTIONS, and SEARCH-TYPE is for ECCENTRIC_SEARCH and QUASICIRCULAR_SEARCH. The single detector trigger files with noise triggers, i.e. DETECTOR_triggers_with_background_SEARCH-TYPE.hdf are not provided in this repository as those exceed the size quota. In the filename string, DETECTOR and SEARCH-TYPE are dummies for H1, L1, V1, and eccentric_search, quasicircular search, respectively. Plotting scripts, fig2.py and fig3.py: The script fig2.py mainly compares chi-square and SNR values of noise triggers and eccentric injection triggers in both eccentric and quasi-circular searches. While fig3.py compares chi-square and SNR values of noise triggers and quasicircular injection triggers in both searches. Figure 4: Data files: H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_ECCENTRIC_SEARCH.hdf, H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_QUASICIRCULAR_SEARCH.hdf Description of files: Each HDF file contains the parameters of the eccentric injections used in both searches, statistics associated with recovered injections, and information on missed injections. From each file, the relevant data group about found injections is found_after_vetoes, and about missed injections is missed/after_vetoes. All injection parameters used in this study are stored in the group injections . Plotting script, fig4.py : The sensitive volumes are computed using the pylal-based method with 200 bins at different IFAR thresholds. Figure 5: Data files: H1L1V1-COMBINE_STATMAP_ECCENTRIC_SEARCH.hdf, H1L1V1-COMBINE_STATMAP_QUASICIRCULAR_SEARCH.hdf, L1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf, H1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf, H1L1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf, H1L1V1-EXCLUDE_ZEROLAG_FULL_DATA_3DET_ECCENTRIC_SEARCH.hdf, V1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_ECCENTRIC_SEARCH.hdf, L1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_ECCENTRIC_SEARCH.hdf, H1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_ECCENTRIC_SEARCH.hdf, L1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf, H1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf, H1L1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf, H1L1V1-EXCLUDE_ZEROLAG_FULL_DATA_3DET_QUASICIRCULAR_SEARCH.hdf, V1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_QUASICIRCULAR_SEARCH.hdf, L1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_QUASICIRCULAR_SEARCH.hdf, H1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_QUASICIRCULAR_SEARCH.hdf Description of files: Clusters foreground triggers with related statistics from quasi-circular and eccentric searches can be found in files H1L1V1-COMBINE_STATMAP_QUASICIRCULAR_SEARCH.hdf and H1L1V1-COMBINE_STATMAP_ECCENTRIC_SEARCH.hdf, respectively. Clustered triggers in background constructions for various detector combinations for searches are provided in files DETECTOR_COMBINATION-EXCLUDE_ZEROLAG_FULL_DATA_#DET_SEARCH-TYPE.hdf, where DETECTOR_COMBINATION represents H1, L1, V1, H1L1, H1V1, L1V1, H1L1V1 with the corresponding number of detectors #DET in the file name string for respective searches #DET_SEARCH-TYPE. Plotting script, fig5.py: Relevant dataset for foreground triggers from each search is foreground/ifar_exc that stores statistical information of triggers in the exclusive background of the respective search. The statmap files for background triggers are primarily used in the figure's right panel. The background statmap files are used to build the search significance/FAR. The script reads background_exc/stat to obtain ranking statistics for background events. For single-detector events, the trigger_fit method of PyCBC using an exponentially decaying function is used to evaluate statistical significance, event rate whereas for events in multiple detectors' observing time, the n_louder method is used to get event rate/significance at a given ranking statistics. Figure 6: Data files: H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_ECCENTRIC_SEARCH.hdf, Eccentric_template_bank_GW200105_search.hdf, H1-ECCENTRIC_INJECTION_TRIGGERS_ECCENTRIC_SEARCH.hdf, L1-ECCENTRIC_INJECTION_TRIGGERS_ECCENTRIC_SEARCH.hdf, V1-ECCENTRIC_INJECTION_TRIGGERS_ECCENTRIC_SEARCH.hdf Description of files: H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_ECCENTRIC_SEARCH.hdf contains details of recovered (parameters, ranking statistics) and missed eccentric injections in the eccentric search with the eccentric bank stored in Eccentric_template_bank_GW200105_search.hdf. The single-detector triggers due to injections are stored in DETECTOR-ECCENTRIC_INJECTION_TRIGGERS_ECCENTRIC_SEARCH.hdf, where DETECTOR represents H1, L1, or V1. PyCBC's SingleDetTriggers module is used to establish a mapping between triggers and corresponding template parameters. Plotting script, fig6.py: This script results in a corner plot of the offsets of the injections and corresponding template parameters. Figure 7: Data files: L1_triggers_eccentric_search.hdf, Eccentric_template_bank_GW200105_search.hdf, H1L1V1-COMBINE_STATMAP_ECCENTRIC_SEARCH.hdf Description of files: The file L1_triggers_eccentric_search.hdf contains unclustered L1 detector triggers with noise triggers vetoed out. All clustered triggers found in all detector combinations are provided in H1L1V1-COMBINE_STATMAP_ECCENTRIC_SEARCH.hdf, while Eccentric_template_bank_GW200105_search.hdf is the template bank used in the search. Plotting script, fig7.py: The plotting extracts the index of the trigger reported against GW200105 from the file with clustered trigger information. Within a time window of 1 second around that trigger, all triggers are read from L1_triggers_eccentric_search.hdf. By mapping those triggers to the search template bank, the figure relating ranking statistics and template parameters for the corresponding triggers is produced.本数据集包含Phukon等人（arxiv:2512.10803）论文中所有图表的依托数据，以及用于生成这些图表的脚本。 **图1** 数据文件：Eccentric_template_bank_GW200105_search.hdf、Quasicircular_template_bank_GW200105_search.hdf 文件说明：文件"Eccentric_template_bank_GW200105_search.hdf"包含了偏心搜索中所用模板库的参数。模板波形采用TaylorF2Ecc近似模型。其中键名为`mass1`、`mass2`、`spin1z`、`spin2z`和`eccentricity`的数据集，分别对应非进动模板的两颗致密星的质量、自旋以及偏心率参数值。"Quasicircular_template_bank_GW200105_search.hdf"中的准圆形模板库现有数据集，其含义与偏心模板库中的对应数据集完全一致。 绘图脚本fig1.py：图1基于偏心模板库生成，所用GW200105的最优拟合偏心模板参数来自Phukon等人（arxiv:2512.10803）的表II，GW200105的后验中位数来自Morras等人（arxiv:2503.15393）的研究。 **图2与图3** 数据文件： H1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf、H1L1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf、L1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf、H1L1V1-EXCLUDE_ZEROLAG_FULL_DATA_3DET_ECCENTRIC_SEARCH.hdf、H1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf、H1L1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf、L1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf、H1L1V1-EXCLUDE_ZEROLAG_FULL_DATA_3DET_QUASICIRCULAR_SEARCH.hdf、H1_triggers_with_background_eccentric_search.hdf（未提供）、L1_triggers_with_background_eccentric_search.hdf（未提供）、V1_triggers_with_background_eccentric_search.hdf（未提供）、H1_triggers_with_background_quasicircular_search.hdf（未提供）、L1_triggers_with_background_quasicircular_search.hdf（未提供）、V1_triggers_with_background_quasicircular_search.hdf（未提供）、H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_ECCENTRIC_SEARCH.hdf、H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_QUASICIRCULAR_SEARCH.hdf、H1L1V1_INJ_FIND_QUASICIRCULAR_INJECTIONS_ECCENTRIC_SEARCH.hdf、H1L1V1_INJ_FIND_QUASICIRCULAR_INJECTIONS_QUASICIRCULAR_SEARCH.hdf 文件说明：命名格式为`DETECTOR_COMBINATION-EXCLUDE_ZEROLAG_FULL_DATA_#DET_SEARCH-TYPE.hdf`的文件，存储了各类探测器组合下背景构建所用的聚类触发信号。其中`DETECTOR_COMBINATION`指代H1、L1、V1、H1L1、H1V1、L1V1、H1L1V1，文件名中的`#DET`对应探测器数量，`SEARCH-TYPE`对应搜索类型。 命名格式为`H1L1V1_INJ_FIND_INJECTIONS-TYPE_SEARCH-TYPE.hdf`的文件，存储了两类搜索中偏心与准圆形注入信号恢复的汇总统计量。其中`INJECTIONS-TYPE`可选`ECCENTRIC_INJECTIONS`与`QUASICIRCULAR_INJECTIONS`，`SEARCH-TYPE`对应`ECCENTRIC_SEARCH`与`QUASICIRCULAR_SEARCH`。 包含单探测器噪声触发的文件`DETECTOR_triggers_with_background_SEARCH-TYPE.hdf`因超出存储空间配额，未随本数据集发布。文件名中的`DETECTOR`与`SEARCH-TYPE`分别为H1、L1、V1以及`eccentric_search`、`quasicircular_search`的占位符。 绘图脚本fig2.py与fig3.py：fig2.py主要用于对比偏心与准圆形搜索中，噪声触发与偏心注入触发的卡方值与信噪比（Signal-to-Noise Ratio, SNR）。fig3.py则用于对比两类搜索中，噪声触发与准圆形注入触发的卡方值与信噪比数值。 **图4** 数据文件：H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_ECCENTRIC_SEARCH.hdf、H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_QUASICIRCULAR_SEARCH.hdf 文件说明：每个HDF文件均包含两类搜索中所用的偏心注入参数、已恢复注入的相关统计量，以及未恢复注入的相关信息。每个文件中，`found_after_vetoes`数据组存储经过筛选的有效注入数据，`missed/after_vetoes`数据组存储筛选后未被恢复的注入数据。本研究所用的全部注入参数均存储于`injections`数据组中。 绘图脚本fig4.py：本脚本基于PyLAL方法计算灵敏体积，该方法在不同的不相干虚警率（Incoherent False Alarm Rate, IFAR）阈值下设置200个分箱。 **图5** 数据文件： H1L1V1-COMBINE_STATMAP_ECCENTRIC_SEARCH.hdf、H1L1V1-COMBINE_STATMAP_QUASICIRCULAR_SEARCH.hdf、L1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf、H1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf、H1L1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_ECCENTRIC_SEARCH.hdf、H1L1V1-EXCLUDE_ZEROLAG_FULL_DATA_3DET_ECCENTRIC_SEARCH.hdf、V1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_ECCENTRIC_SEARCH.hdf、L1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_ECCENTRIC_SEARCH.hdf、H1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_ECCENTRIC_SEARCH.hdf、L1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf、H1V1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf、H1L1-EXCLUDE_ZEROLAG_FULL_DATA_2DET_QUASICIRCULAR_SEARCH.hdf、H1L1V1-EXCLUDE_ZEROLAG_FULL_DATA_3DET_QUASICIRCULAR_SEARCH.hdf、V1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_QUASICIRCULAR_SEARCH.hdf、L1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_QUASICIRCULAR_SEARCH.hdf、H1-EXCLUDE_ZEROLAG_FULL_DATA_1DET_QUASICIRCULAR_SEARCH.hdf 文件说明：`H1L1V1-COMBINE_STATMAP_QUASICIRCULAR_SEARCH.hdf`与`H1L1V1-COMBINE_STATMAP_ECCENTRIC_SEARCH.hdf`分别存储了准圆形与偏心搜索中的前景触发信号及其相关统计量。各类探测器组合下背景构建所用的聚类触发信号，存储于命名格式为`DETECTOR_COMBINATION-EXCLUDE_ZEROLAG_FULL_DATA_#DET_SEARCH-TYPE.hdf`的文件中，其中`DETECTOR_COMBINATION`指代H1、L1、V1、H1L1、H1V1、L1V1、H1L1V1，文件名中的`#DET`对应探测器数量，`SEARCH-TYPE`对应搜索类型。 绘图脚本fig5.py：本脚本中，各类搜索的前景触发相关数据集存储于`foreground/ifar_exc`，该数据组存储了对应搜索排他性背景下的触发信号统计信息。背景触发的统计映射文件主要用于绘制图表的右侧面板，用于构建搜索的显著性与虚警率（False Alarm Rate, FAR）。脚本通过读取`background_exc/stat`获取背景事件的排序统计量。对于单探测器事件，采用PyCBC的`trigger_fit`方法结合指数衰减函数评估统计显著性与事件率；对于多探测器联合观测事件，则采用`n_louder`方法计算给定排序统计量下的事件率与显著性。 **图6** 数据文件：H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_ECCENTRIC_SEARCH.hdf、Eccentric_template_bank_GW200105_search.hdf、H1-ECCENTRIC_INJECTION_TRIGGERS_ECCENTRIC_SEARCH.hdf、L1-ECCENTRIC_INJECTION_TRIGGERS_ECCENTRIC_SEARCH.hdf、V1-ECCENTRIC_INJECTION_TRIGGERS_ECCENTRIC_SEARCH.hdf 文件说明：`H1L1V1_INJ_FIND_ECCENTRIC_INJECTIONS_ECCENTRIC_SEARCH.hdf`存储了偏心搜索中已恢复偏心注入的参数、排序统计量，以及未恢复的偏心注入细节，该搜索所用的偏心模板库存储于`Eccentric_template_bank_GW200105_search.hdf`。单探测器注入触发信号存储于`DETECTOR-ECCENTRIC_INJECTION_TRIGGERS_ECCENTRIC_SEARCH.hdf`，其中`DETECTOR`指代H1、L1或V1。本数据集采用PyCBC的`SingleDetTriggers`模块实现触发信号与对应模板参数的映射。 绘图脚本fig6.py：本脚本用于生成注入参数与对应模板参数偏移量的边角图（corner plot）。 **图7** 数据文件：L1_triggers_eccentric_search.hdf、Eccentric_template_bank_GW200105_search.hdf、H1L1V1-COMBINE_STATMAP_ECCENTRIC_SEARCH.hdf 文件说明：`L1_triggers_eccentric_search.hdf`存储了L1探测器未经过聚类的触发信号，且已剔除噪声触发信号。`H1L1V1-COMBINE_STATMAP_ECCENTRIC_SEARCH.hdf`存储了所有探测器组合下的全部聚类触发信号，而`Eccentric_template_bank_GW200105_search.hdf`为本次搜索所用的模板库。 绘图脚本fig7.py：本脚本从聚类触发信息文件中提取与GW200105对应的触发索引。在该触发前后1秒的时间窗口内，从`L1_triggers_eccentric_search.hdf`中读取所有触发信号，并将这些触发信号映射至搜索模板库，最终生成对应触发信号的排序统计量与模板参数的关联图表。