ArfData#

class jinwu.core.ArfData(path: Path, header: Dict[str, Any], meta: Any, headers_dump: Any, energ_lo: np.ndarray = <factory>, energ_hi: np.ndarray = <factory>, specresp: np.ndarray = <factory>, columns: Tuple[str, ...] = ())[source]#

Bases: ArfBase

Concrete ARF data class with local behavior implementation.

Attributes Summary

`REQUIRED_COLUMNS_ARF`
`REQUIRED_COLUMNS_RMF_MIN`
`REQUIRED_KEYS_ANY`
`columns`
`energ_hi`
`energ_lo`
`header`
`headers_dump`
`kind`
`meta`
`path`
`specresp`
`validation`

Methods Summary

`get_keyword_ci`(key[, default])	大小写不敏感地从 header 中读取关键字（若 header 为 dict）.
`plot`([ax, energy_unit, yscale, title])
`rebin`(factor)
`validate`()	通用层：仅检查路径与 header 存在性。子类会扩展。

Attributes Documentation

REQUIRED_COLUMNS_ARF = ['ENERG_LO', 'ENERG_HI', 'SPECRESP']#

REQUIRED_COLUMNS_RMF_MIN = ['ENERG_LO', 'ENERG_HI', 'MATRIX']#

REQUIRED_KEYS_ANY = [['TELESCOP'], ['INSTRUME'], ['DETNAM', 'DETNAME']]#

columns: Tuple[str, ...]#

energ_hi: ndarray#

energ_lo: ndarray#

header: Dict[str, Any]#

headers_dump: Any#

kind: ClassVar[Literal['arf']] = 'arf'#

meta: Any#

path: Path#

specresp: ndarray#

validation#

Methods Documentation

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, *, energy_unit: str = 'keV', yscale: str = 'linear', title: str | None = None, **kwargs)[source]#

rebin(factor: int) → ArfData[source]#

validate() → ValidationReport[source]#: 通用层：仅检查路径与 header 存在性。子类会扩展。