2022
DOI: 10.1016/j.ascom.2022.100547
|View full text |Cite
|
Sign up to set email alerts
|

Multi Order Coverage data structure to plan multi-messenger observations

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 36 publications
0
2
0
Order By: Relevance
“…The new capabilities were applied by EGO-Virgo and resulted in a journal paper "Multi Order Coverage data structure to plan multi-messenger observations" [12]. The paper includes an interactive python notebook and on-line video tutorial materials, both of which were used in the ESCAPE training event the '2nd Science with interoperable data school' the areas of radio astronomy, high energy astronomy and solar physics, and, furthermore, the maturation of the standards and tools for data provenance, in particular for high energy use cases of CTA and KM3Net.…”
Section: The Virtual Observatorymentioning
confidence: 99%
“…The new capabilities were applied by EGO-Virgo and resulted in a journal paper "Multi Order Coverage data structure to plan multi-messenger observations" [12]. The paper includes an interactive python notebook and on-line video tutorial materials, both of which were used in the ESCAPE training event the '2nd Science with interoperable data school' the areas of radio astronomy, high energy astronomy and solar physics, and, furthermore, the maturation of the standards and tools for data provenance, in particular for high energy use cases of CTA and KM3Net.…”
Section: The Virtual Observatorymentioning
confidence: 99%
“…This approach has been exploited either to generate a map efficiently, as a compression algorithm for storage or for faster querying (Fernique et al 2015;Singer & Price 2016;Youngren & Petty 2017). It has also been utilized by the multiorder coverage (MOC) map International Virtual Observatory Alliance (IVOA) standard (Fernique et al 2019) to specify arbitrary sky regions, which has been shown useful for the planning of multimessenger observations (Greco et al 2022). The MOC standard was recently generalized by associating a value to each pixel of a full-coverage map, and is now used to distribute LIGO-Virgo gravitational wave sky localizations.…”
Section: Introductionmentioning
confidence: 99%