Boomerang SNR

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Revision as of 15:44, 18 October 2023 by Cassol (talk | contribs) (Meetings on Background Model estimation (GAL Center and Boomerang groups joint activity))
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General information

The Boomerang SNR as seen by MAGIC [A&A 658, A60 (2022)]
  • Name of the source: SNR 106.3+2.7
  • Brief description of the source: Strong hadronic PeVatron candidate with TeV emission both from the head and the tail of the SNR
  • Reference coordinated:
- MAGIC Tail: RA, Dec (ICRS): 36.72 deg, 60.84 deg
- MAGIC head: RA, Dec (ICRS): 337.13 deg, 61.10 deg


Proposals

  • MAGIC Cycle XVII (GAL 346)
  • LST Cycle I (GAL 07)

People involved

  • Franca Cassol (PI)
  • Heide Costantini
  • Gabriel Emery
  • Marie-Sophie Carrasco
  • Marine Pihet
  • Cornelia Arcaro
  • Takayuki Saito (co-PI)

Data available

There are three set of data :

- Mono-LST-1
- LST+MAGIC
- MAGIC

Monte Carlo Data

Produced node in line May 2023.png
Produced nodes in dec line above 55 deg.png

Monte Carlo data have been produced with successive productions in order to increase the node density.

- First production has been performed standardly with uniform training nodes on the declination line
- Second production has been performed asking a node with with step cos(zenith)=0.04, for zenith angles > 60 deg (see here)
- Third production has been performed in order to further increase the node density with step cos(zenith)=0.02, for zenith angles > 60 deg (see here)

We asked also to have test nodes on the declination line. The figures show the present simulated nodes, to be found in

- /fefs/aswg/data/mc/DL0/LSTProd2/TrainingDataset/Protons/dec_6166
- /fefs/aswg/data/mc/DL0/LSTProd2/TrainingDataset/GammaDiffuse/dec_6166
- /fefs/aswg/data/mc/DL0/LSTProd2/TestDataset

Analysis webpages

Mono-LST-1

-RF improvement

Stereo LST-1+MAGIC

-Standard analysis check

Main results

- Coming


Internal group meetings

- 2023

Meetings on Background Model estimation (GAL Center and Boomerang groups joint activity)

- 18-10-2023
- 02-11-2023 (coming meeting)

External presentations

- 27-03-2023: Random Forest optimization for LZA observations¶ (M. Carrasco, LST analysis meeting)


Conferences

- Coming