Library for reading and processing dark matter data in IDX format
Project description
NSDF Dark Matter Library
The nsdf_dark_matter library offers a pool of operations to manipulate dark matter data. The R76 dataset can be processed with the library.
Check out the library guide for a step by step walkthrough.
Library Usage Example
from nsdf_dark_matter.idx import CDMS, load_all_data
# Loading the data from a valid idx structure
cdms = load_all_data('path/to/idx/dir')
# fetching all event ids
event_ids = cdms.get_event_ids()
# fetching the metadata for an event id
metadata = cdms.get_event_metadata("10000")
# or by referencing an event id from event ids
metadata = cdms.get_event_metadata(event_ids[0])
# fetching all detector ids
detector_ids = cdms.get_detector_ids()
# fetching channels associated with a detector id
channels = cdms.get_detector_channels("10000_0_Phonon_4096")
# or by referencing a detector id from detector ids
channels = cdms.get_detector_channels(detector_ids[0])
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
nsdf_dark_matter-0.2.0.tar.gz
(17.7 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file nsdf_dark_matter-0.2.0.tar.gz.
File metadata
- Download URL: nsdf_dark_matter-0.2.0.tar.gz
- Upload date:
- Size: 17.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
92474ccb740e9b26b4645610750d81c4f8a52b84d55584cf47290a1bc427ca97
|
|
| MD5 |
9d28e2721b86e27ecf4027b4f4cc2165
|
|
| BLAKE2b-256 |
aa8832f80f1fed5c95ffa66da8b4832088ab31349de09dc37bdf2f04f8f8067b
|
File details
Details for the file nsdf_dark_matter-0.2.0-py3-none-any.whl.
File metadata
- Download URL: nsdf_dark_matter-0.2.0-py3-none-any.whl
- Upload date:
- Size: 4.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via: uv/0.8.13
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2d4a1acf9f9802b124fcea2f863ae8c23b3d7a9f11d27708844bc2e37c7ee157
|
|
| MD5 |
5de80a58f842d28ec5be065609d6cb11
|
|
| BLAKE2b-256 |
77669e87ba085232bb8e581abbf190e09373890e430e88689e01f8e5df805ffa
|