25–29 May 2026
Chulalongkorn University
Asia/Bangkok timezone

GlueX-Demon: a compact Python and JSROOT package for interactive data quality monitoring

Not scheduled
1m
Chulalongkorn University

Chulalongkorn University

Poster Presentation Track 3 - Offline data processing Poster

Speaker

Dr Naomi Jarvis (Carnegie Mellon University)

Description

GlueX is a hadronic physics photoproduction experiment based at Jefferson Lab. The GlueX spectrometer and beamline detectors include over a dozen individual detectors whose performance and calibrations are mostly independent. During data collection, the data are divided into a series of runs, lasting up to 2 hours each, with the run boundaries acting as calibration boundaries. Data quality monitoring takes place online and also offline, using a coordinated sequence of data processing which results in many large sets of files containing ROOT histograms.

GlueX-Demon uses a set of Python scripts to extract key quantities from the histograms and displays these as interactive graphs online, showing the data as a function of time. This provides an accessible way to identify calibration drifts for correction and easily compare trends or values between detectors and run periods without the volume of data becoming overwhelming. GlueX-Demon has been in continuous use since its development in late 2023.

Author

Dr Naomi Jarvis (Carnegie Mellon University)

Presentation materials

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