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Redes neurais para filtragem inversa com aplicação em calorímetros operando a alta taxa de eventos
| Content Provider | Semantic Scholar |
|---|---|
| Author | Faria, Mateus Aparecido De Filho, Luciano M. De Andrade Duarte, João Seixas, José |
| Copyright Year | 2017 |
| Abstract | This paper aims to implement an inverse system to remove a impulse response from a calorimeter operating at a high event rate. The Tilecal calorimeter has a higher impulse response than the acquired event rate, generating signal pile-up in its reading electronics. FIR filters have been proposed that approximate the inverse system, however, nonlinear characteristics intrinsic to the calorimeter such as phase shift and pulse deformation, make linear filters not suitable for this scenario. Due to these characteristics, an inverse filter based on neural networks, implemented in dedicated hardware (FPGA), is proposed. This method proved to be more efficient when compared to filtering method based on linear filter. Keywords— Neural network, FPGA, calorimeter, signal pile-up. |
| File Format | PDF HTM / HTML |
| DOI | 10.14209/sbrt.2017.241 |
| Alternate Webpage(s) | http://www.sbrt.org.br/sbrt2017/anais/1570362067.pdf |
| Alternate Webpage(s) | https://doi.org/10.14209/sbrt.2017.241 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
