CDMS data on OSN and descriptors

[zonca]

We want to investigate how to use data descriptors of SuperCDMS data to document their structure, this could be used by automated systems like EventIO to interface with the data

[zonca]

Event IO

Karl Kosack [karl.kosack@cea.fr](mailto:karl.kosack@cea.fr) and Maximilian Nöthe [maximilian.noethe@tu-dortmund.de](mailto:maximilian.noethe@tu-dortmund.de) are ctapipe developers (https://ctapipe.readthedocs.io/). The file format is called EventIO, documented here. They have a C++ library for it with a Python interface, but wanted to get less implementation-specific. They looked at Kaitai and had misgivings about the lack of built-in support for variable-width integers. I showed them that we can represent variable-width integers in Kaitai, but that was the last I heard from them.

[zonca]

SuperCDMS data file:

https://ncsa.osn.xsede.org/supercdms-data/CDMS/UMN/R68/Raw/07180808_1558/07180808_1558_F0001.mid.gz

@pibion will provide data descriptor

[zonca]

confirm I can access the data:

aws s3 --profile osn ls
 s3://supercdms-data/CDMS/UMN/R68/Raw/07180808_1558/07180808_1558_F0001.mid.gz
2023-06-16 03:19:52   48189875 07180808_1558_F0001.mid.gz

[pibion]

@zonca here's the descriptor for v8 of the supercdms format: https://github.com/det-lab/dataReaderWriter/blob/master/kaitai/ksy/scdms_v8.ksy. An example of data that this matches is at https://github.com/det-lab/dataReaderWriter/blob/master/data/51230216_125838_F0001.mid.gz.

The UMN data above is v1, I'm working on a data description for that now.

[zonca]

@pibion do you have docs on how to create a Python interface for this descriptor? do these use awkward arrays?

[pibion]

@zonca yes, @manasvigoyal has added an awkward-array compiler to Kaitai-Struct, https://github.com/ManasviGoyal/kaitai_struct_compiler, https://github.com/ManasviGoyal/kaitai_awkward_runtime

[pibion]

Her talk on how to use these is at https://github.com/ManasviGoyal/PyHEP-2023-Awkward-Target-for-Kaitai-Struct

[zonca]

ok, I managed to install https://github.com/ManasviGoyal/kaitai_awkward_runtime, and run the example:

awkward_array = kaitai_awkward_runtime.load("data/animal.raw")

@ManasviGoyal how do I load https://github.com/det-lab/dataReaderWriter/blob/master/kaitai/ksy/scdms_v8.ksy or the dataset instead?