epix 0.3.7

Electron and Photon Instructions generator for XENON

epix

Electron and Photon Instructions generator for XENON

The job of epix is to load XENONnT Geant4 MC data and produce inputs for wfsim, using nestpy for the quanta generation and DBSCAN for the clustering of the individual steps.

Installation

With all requirements fulfilled (e.g., on top of the XENONnT montecarlo_environment):

pip install epix

or install in editable mode from source:

git clone https://github.com/XENONnT/epix
pip install -e epix

Usage

Only an input file is needed to run epix:

bin/run_epix --InputFile <path_and_filename>

The other keyword arguments are:

Argument	Description	Default
--Detector	Detector to be used. Has to be defined in epix.detectors	XENONnT
--DetectorConfigOverride	Config file to overwrite default epix.detectors settings; see examples in the configs folder	in epix.detectors
--CutOnEventid	If selected, the next two arguments act on the G4 event id, and not the entry number (default)	false
--EntryStart	First event to be read	0
--EntryStop	How many entries from the ROOT file you want to process	all
--MicroSeparation	DBSCAN clustering distance (mm)	0.005
--MicroSeparationTime	Clustering time (ns)	10
--TagClusterBy	decide if you tag the cluster (particle type, energy depositing process) according to first interaction in it (time) or most energetic (energy)	energy
--MaxDelay	Time after which we cut the rest of the event (ns)	1e7
--MaxEnergy	Upper range for energy selection in sensitive volume (keV)	inf
--MinEnergy	Lower range for energy selection in sensitive volume (keV)	-1
--YieldModel	Model for yield/quanta generation (nest / bbf / beta)	nest
--ClusterMethod	Microclustering method (dbscan / betadecay / brem)	dbscan
--SourceRate	Event rate for event separation - 0 for no time shift (G4 time remains) - -1 for clean time shift between events - >0 (Hz) for random spacing	0
--CutNeutron	Add if you want to filter only nuclear recoil events (maximum ER energy deposit 10 keV)	false
--JobNumber	Job number in full chain simulation. Offset is computed as JobNumber * n_simulated_events/SourceRate, where n_simulated_events is read from file.	0
--OutputPath	Output file path	Same directory as input file
--Debug	Tell epix if you want timing outputs	false

0.3.7 (2024-02-08)

• Selection based on total energy deposit in sensitive volume (#76)
• Fix cut_by_eventid again (#80)

0.3.6 (2024-01-15)

• Fix G4 event number selection with cut_by_eventid (#75)
• np.int is deprecated (#78)
• Fix epix to allow version bump (#77)

0.3.5 (2023-09-13)

• Custom microclustering and beta-yields generator (#73)

0.3.4 (2023-03-28)

• Fix calculation for cluster weighted average time (#65)
• Add zenodo badge

0.3.3 (2023-01-09)

• Specify not working numba in req. file (#62)
• Install scikit-learn (#63)

0.3.2 (2022-08-15)

• First implementation of BBF quanta generator (#57)

0.3.1 (2022-06-15)

• Save primary particle position (#56)
• Set arg defaults (#55)

0.3.0 (2022-05-20)

• Add NR filter before quanta generation (#53)
• Update energy selection for Kr83m model (#52)

0.2.2 (2021-10-31)

• Fixed field map loading (#50)

0.2.1 (2021-10-30)

• Update efield handler to maps format (#49)

0.2.0 (2021-10-28)

• Fix clustering indexing (#45)
• Treatment for empty data (#40)
• Fix for NEST interaction classification parameters (#44)
• Enable CSV input (#42)

0.1.3 (2021-07-27)

• Tuning clustering defaults (#39)
• Return statement for removed excitons (#38)
• Added local field and number of excitons (#34)

0.1.2 (2021-06-09)

• Add sklearn to requirements (#31)
• Fix Kr83m NEST-related issues (#30)

0.1.1 (2021-04-09)

• Automatic PyPi upload (#24)
• PyPi and codefactor integration

0.1.0 (2021-03-30)

• E-Field format change (#23)
• strax interface (#19)

0.0.6 (2021-02-12)

• Set e- recoil type as default (#15)

0.0.5 (2021-02-08)

• Change detector naming (#13)

0.0.4 (2021-02-08)

• New Efield format loading (#11)
• Store NEST id as recoil type (#10)

0.0.3 (2021-01-26)

• Clustering and event separation (#6)

0.0.2 (2021-01-25)

• Added detector volumes (#8)

0.0.1 (2020-01-21)

• Initial working release as python package