Skip to main content

midas-snapshot

Still-frame diffraction time series, where the sample does not rotate: monochromatic beam, an area detector, one frame or a series. The patterns are spotty or sparse, so radial lineouts lose the signal.

For each window of frames, the pipeline:

  1. fits one isotropic scale of a known matrix phase from its rings (a relative thermometer);
  2. computes a diffuse-halo index (melt / amorphous indicator);
  3. detects spots with a background model that is local and a threshold calibrated on noise-only images;
  4. places each spot relative to the matrix lines.

Downstream stages:

  • choose before/after windows from the traces by a stated rule;
  • merge repeated detections into features, and test "present before / absent after" on raw photon counts;
  • test candidate cells with a null and automatically generated negative controls;
  • measure the detection limit by injecting synthetic spots into real frames.
midas-snapshot init --frames DIR --geometry params.txt --out OUT --matrix-cif matrix.cif \
                    --halo-band 2.9 3.2 --base-band 1.9 2.2 --tth-max 12
midas-snapshot run OUT/snapshot_config.json
midas-snapshot analyse OUT/snapshot_config.json --candidates cand1.cif cand2.cif --controls
midas-snapshot report OUT/snapshot_config.json

What the method cannot do:

  • It cannot give an absolute temperature: thermal and uniform elastic dilatation shift peaks identically.
  • It cannot give a strain tensor from one still.
  • It cannot identify a phase from one line.
  • A passing candidate identifies a cell and pattern, not a chemistry.

The procedure and its measured limits are in manuals/snapshot-xrd/.

Metadata

Release files for midas-snapshot 0.1.0

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

Source distribution (sdist)

Source distribution for midas-snapshot 0.1.0
File Size Uploaded
midas_snapshot-0.1.0.tar.gz 34.5 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for midas-snapshot 0.1.0
File Interpreter ABI Platform
midas_snapshot-0.1.0-py3-none-any.whl Python 3 none any Details

Total release size: 64.5 kB

Release files / midas_snapshot-0.1.0.tar.gz

Download URL midas_snapshot-0.1.0.tar.gz
Size 34.5 kB
Tags Source
SHA-256 checksum
How to use checksums
26e578d729c83ae6c26980d1705bed5e2844f4b884a0cc0ba5731d37bf168bd4
BLAKE2b-256 checksum
How to use checksums
6e5d7db20ba861fb1db57562929abba3868d8f557b286678238675aaa5af1f9c
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release files / midas_snapshot-0.1.0-py3-none-any.whl

Download URL midas_snapshot-0.1.0-py3-none-any.whl
Size 30.0 kB
Tags Python 3
SHA-256 checksum
How to use checksums
411fab0ace896ea435973d1e7fbc8cae48542b4b042a6dafde843bd66eb13204
BLAKE2b-256 checksum
How to use checksums
8bc8c8040e51f0810b2e872bed18b330fb55c73fa9d2dbd4b81af5426f33dc27
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
Yes
Uploaded via twine/7.0.0 CPython/3.13.14

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

PyPI Publish Attestation

PyPI verified that this artifact, at this checksum, originated from the publisher listed below.

Signed by GitHub Actions, verified by PyPI on Sep 30, 2026.

Transparency log

Release history Release notifications | RSS feed

This release

0.1.0 This release

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page