jinwu-ep

Einstein Probe (WXT) instrument support for the jinwu analysis toolkit: observation discovery, WXT pointing-mode data reduction orchestration, event/light-curve products and spectral extraction helpers.

pip install jinwu-ep

Import the normal-pointing workflow as from jinwu.ep.wxt import WXTPointingInput, WXTPointingPipeline. Run through exposure_arm_qc, inspect the proposed source/background regions and exposure diagnostics, call approve_regions(), then resume. Supply an independent output_root so products do not land beside the input observation.

Metadata

Release files for jinwu-ep 0.2.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for jinwu-ep 0.2.3
File	Size	Uploaded
jinwu_ep-0.2.3.tar.gz	36.2 kB	Oct 8, 2026	Details

Built distribution (wheel)

Table of built distributions (wheels) for jinwu-ep 0.2.3
File	Interpreter	ABI	Platform	Reset
jinwu_ep-0.2.3-py3-none-any.whl 35.9 kB Oct 8, 2026	Python 3	none	any	Details

Total release size: 72.1 kB

Release files / jinwu_ep-0.2.3.tar.gz

Download URL	jinwu_ep-0.2.3.tar.gz
Size	36.2 kB
Tags	Source
SHA-256 checksum How to use checksums	`5844701a6de3f93365f56939b4359bbcc146495ca31049889997da44608d9b3f`
BLAKE2b-256 checksum How to use checksums	`cd7c177fd9b03c79da1f66d6ceeea2031abfc37a80881337b54bb922174675cc`
Upload date	Oct 8, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.14`

Release files / jinwu_ep-0.2.3-py3-none-any.whl

Download URL	jinwu_ep-0.2.3-py3-none-any.whl
Size	35.9 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`5136ee4dc7a35efa35f0f141a257495c5b42e3dc99271b802c3aa3a3b7443ed8`
BLAKE2b-256 checksum How to use checksums	`6f03dff423d10bee6a388cf599e001a46d4a74db97e67bcd4e2d14ebe0b0cab8`
Upload date	Oct 8, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.12.14`