forked from cocoa-hep/cocoa-hep
-
Notifications
You must be signed in to change notification settings - Fork 0
/
CITATION.cff
66 lines (66 loc) · 2.36 KB
/
CITATION.cff
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
cff-version: 1.2.0
message: "Please cite the following works when using this software."
type: software
authors:
- family-names: "Etienne"
given-names: "Dreyer"
orcid: "https://orcid.org/0000-0001-8955-9510"
affiliation: "Weizmann Institute of Science"
- family-names: "Ganguly"
given-names: "Sanmay"
orcid: "https://orcid.org/0000-0003-1285-9261"
affiliation: "ICEPP, University of Tokyo"
- family-names: "Rieck"
given-names: "Patrick"
orcid: "https://orcid.org/0000-0001-6616-3433"
affiliation: "NewYork University"
title: "cocoa-hep: v0.1.1"
version: 0.1.1
doi: 10.5281/zenodo.7700475
repository-code: "https://github.com/cocoa-hep/cocoa-hep/releases/tag/0.1.1"
url: "https://cocoa-hep.readthedocs.io/en/latest/"
keywords:
- python
- physics
- Geant4
- Opendata Calorimeter
- Machine Learning
- Pythia
- Configurable
license: "GNU General Public License v3.0"
abstract: |
A configurable calorimeter simulation for AI (COCOA) applications is presented,
based on the GEANT4 toolkit and interfaced with the PYTHIA event generator.
This open-source project is aimed to support the development of
machine learning algorithms in high energy physics that rely
on realistic particle shower descriptions, such as reconstruction, fast-simulation,
and low level analysis. Specifications such as the granularity and material of
its nearly hermetic geometry are user-configurable. The tool is supplemented
with simple event processing including topological clustering, jet-algorithms,
and a nearest-neighbors graph construction. Formatting is also provided to visualise events using
the Phoenix event display software.
references:
- type: article
- family-names: "Etienne"
given-names: "Dreyer"
orcid: "https://orcid.org/0000-0001-8955-9510"
affiliation: "Weizmann Institute of Science"
- family-names: "Ganguly"
given-names: "Sanmay"
orcid: "https://orcid.org/0000-0003-1285-9261"
affiliation: "ICEPP, University of Tokyo"
- family-names: "Rieck"
given-names: "Patrick"
orcid: "https://orcid.org/0000-0001-6616-3433"
affiliation: "New York University"
title: "Configurable calorimeter simulation for AI applications"
doi: 10.5281/zenodo.7700475
url: "https://arxiv.org/abs/2303.02101"
year: 2023
publisher:
name: ""
volume:
number:
pages:
journal:
Footer