Feature #1483
flag to distinguished background events from sources events
| Status: | Closed | Start date: | 06/26/2015 | |
|---|---|---|---|---|
| Priority: | Normal | Due date: | ||
| Assigned To: | % Done: | 100% | ||
| Category: | - | |||
| Target version: | 1.3.0 | |||
| Duration: |
Description
Hello,
I am using a python script to simulate a set of events using ctools.ctobssim (simulate_events.py).
After the simulation I can access to the events.
events = sim.obs()[0].events().copy()
where I have the energy and direction, ecc.
It would be very useful to know if the event was generated from background or from the source.
I would suggest to add a flag to distinguished events from background and sources.
Gonzalo.
Recurrence
No recurrence.
History
#1
Updated by Knödlseder Jürgen almost 10 years ago
- Target version set to 1.2.0
#2
Updated by Knödlseder Jürgen about 9 years ago
- Target version changed from 1.2.0 to 1.3.0
#3
Updated by Knödlseder Jürgen about 9 years ago
- Status changed from New to In Progress
- Assigned To set to Knödlseder Jürgen
- % Done changed from 0 to 90
The following methods have been added to GammaLib to trace Monte Carlo information in an CTA event list:
GCTAEventList::has_mc_id(bool&): Signal availability of Monte Carlo information in an event listGCTAEventList::has_mc_id(): Returns true if Monte Carlo information in an event list is availableGCTAEventList::set_mc_id_names(std::vector<int>&, std::vector<std::string>&): Set correspondance between Monte Carlo identifiers and model namesGCTAEventAtom::mc_id(int&): Set Monte Carlo identifier for an eventGCTAEventAtom::mc_id(): Returns Monte Carlo identifier for an event
The ctobssim tool now sets the Monte Carlo identifiers for every event
#4
Updated by Knödlseder Jürgen about 9 years ago
- Status changed from In Progress to Closed
- % Done changed from 90 to 100
Code is merged into devel