EventData#
- class jinwu.core.EventData(path: Path, header: Dict[str, Any], meta: Any, headers_dump: Any, time: np.ndarray = <factory>, time_raw: np.ndarray = <factory>, time_rel: np.ndarray = <factory>, timezero: float = 0.0, timezero_obj: Optional[Any] = None, telescop: Optional[str] = None, pi: Optional[np.ndarray] = None, channel: Optional[np.ndarray] = None, x: Optional[np.ndarray] = None, y: Optional[np.ndarray] = None, gti_start: Optional[np.ndarray] = None, gti_stop: Optional[np.ndarray] = None, gti_start_obj: Optional[Any] = None, gti_stop_obj: Optional[Any] = None, gti: Optional[list] = None, raw_columns: Optional[Dict[str, np.ndarray]] = None, colmap: Optional[Dict[str, Optional[str]]] = None, energy: Optional[np.ndarray] = None, ebounds: Optional[Tuple[np.ndarray, np.ndarray, np.ndarray]] = None, columns: Tuple[str, ...] = ())[source]#
Bases:
EventDataBaseConcrete event data class with local behavior implementation.
Attributes Summary
Methods Summary
clear_all(*[, use_original])clear_energy(*[, use_original])clear_region(*[, use_original])clear_time(*[, use_original])extract_curve(binsize, **kwargs)extract_gti(hdul)Extension point: parse GTI from an opened HDUList and return list of (start, stop) tuples.
extract_image(**kwargs)extract_spectrum(**kwargs)filter_energy([pi_min, pi_max])filter_region(region)filter_time([tmin, tmax])get_energy([rmf])get_keyword_ci(key[, default])大小写不敏感地从 header 中读取关键字(若 header 为 dict).
get_time_object([index])plot([ax, bins, cmap, title, invert_ra, ...])rebin(binsize, *[, tmin, tmax])save(outpath[, kind, overwrite])slice([tmin, tmax, pi_min, pi_max, ch_min, ...])timescale(*[, background, alpha])创建独立的 timescale 分析器。
validate()通用层:仅检查路径与 header 存在性。子类会扩展。
xselect()Attributes Documentation
- CRITICAL_KEYS = ['TIMESYS', 'TIMEUNIT']#
- OPTIONAL_KEYS = ['OBJECT', 'OBS_ID', 'MJDREF', 'MJDREFI', 'MJDREFF', 'TIMEZERO', 'TREFPOS', 'DATE-OBS']#
- REQUIRED_COLUMNS_ANY = [['TIME']]#
- REQUIRED_KEYS = ['TELESCOP', 'INSTRUME', 'TIMESYS', 'TIMEUNIT']#
- absolute_time#
- channel#
- colmap#
- columns#
- duration#
- ebounds#
- energy#
- gti#
- gti_exposure#
- gti_start#
- gti_start_obj#
- gti_stop#
- gti_stop_obj#
- header#
- headers_dump#
- kind = 'evt'#
- meta#
- n#
- path#
- pi#
- raw_columns#
- telescop#
- time#
- time_raw#
- time_rel#
- timezero#
- timezero_obj#
- validation#
- x#
- y#
Methods Documentation
- extract_curve(binsize: float, **kwargs) LightcurveData[source]#
- extract_gti(hdul: Any) list | None#
Extension point: parse GTI from an opened HDUList and return list of (start, stop) tuples.
Default implementation searches for an extension named ‘GTI’ (case-insensitive) and, if present, returns a list of (START, STOP) pairs. Readers should call this to populate event objects’ GTI field.
- get_keyword_ci(key: str, default: Any | None = None) Any#
大小写不敏感地从 header 中读取关键字(若 header 为 dict).
返回关键字值或提供的 default。便于统一处理 FITS 关键字的大小写差异。
- plot(ax: Any | None = None, *, bins: int | Tuple[int, int] = 300, cmap: str = 'viridis', title: str | None = None, invert_ra: bool = True, show_grid: bool = True, show_colorbar: bool = True, **kwargs)[source]#
- rebin(binsize: float, *, tmin: float | None = None, tmax: float | None = None) LightcurveData[source]#
- slice(tmin: float | None = None, tmax: float | None = None, *, pi_min: int | None = None, pi_max: int | None = None, ch_min: int | None = None, ch_max: int | None = None) EventData[source]#