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.
1 maintainer
Release files for jinwu-ep 0.2.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| jinwu_ep-0.2.1.tar.gz | 36.2 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| jinwu_ep-0.2.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 72.1 kB
Release files / jinwu_ep-0.2.1.tar.gz
| Download URL | jinwu_ep-0.2.1.tar.gz |
|---|---|
| Size | 36.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / jinwu_ep-0.2.1-py3-none-any.whl
| Download URL | jinwu_ep-0.2.1-py3-none-any.whl |
|---|---|
| Size | 35.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.12.14
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