| Bibtype |
Inproceedings |
| Bibkey |
Bunse/Piatkowski/2018a |
| Author |
Bunse, Mirko and Piatkowski, Nico and Morik, Katharina |
| Editor |
Gemulla, Rainer and Ponzetto, Simone Paolo and Bizer, Christian and Keuper, Margret and Stuckenschmidt, Heiner |
| Title |
Towards a Unifying View on Deconvolution in Cherenkov Astronomy |
| Booktitle |
Lernen, Wissen, Daten, Analysen (LWDA) conference proceedings |
| Series |
{CEUR} Workshop Proceedings |
| Volume |
2191 |
| Pages |
73--77 |
| Abstract |
Obtaining the distribution of a physical quantity is a frequent objective in experimental physics. In cases where the distribution of the relevant quantity cannot be accessed experimentally, it has to be reconstructed from distributions of correlated quantities that are measured, instead. This reconstruction is called deconvolution. While several approaches to deconvolution exist in experimental physics, the problem is rather unknown in data science. Both fields can benefit from each other, but notational differences tend to prevent this. In this work, we outline the unification of existing approaches in order to pave the way for new joint research directions. Cherenkov astronomy is employed as a use case which illustrates the deconvolution problem.
|
| Month |
08 |
| Year |
2018 |
| Projekt |
SFB876-C3, SFB876-A1 |
