Reconstruction algorithm for a novel Cherenkov scintillation detector

Abstract

For future MeV-scale neutrino experiments, a Cherenkov scintillation detector, CSD, is of particular interest for its capability to reconstruct both energy and direction for charged particles. A type of new target material, slow liquid scintillator, SlowLS, which can be used to separate Cherenkov and scintillation lights, is one of the options for the neutrino detectors. A multi-hundred ton spherical CSD is simulated using a Geant4-based Monte Carlo software, which handles the detailed the micro processes of MeV particles and optical photons and the functions for photomultiplier, PMT, and readout electronics. Twelve SlowLS samples are simulated and studied to cover a wide range of scintillation light yields and scintillation emission time constants. Based on the detailed knowledge of the signal processes, simplified functions are constructed to predict the charge and time signals on the PMTs to fulfill an efficient reconstruction for the energy, direction, and position of charged particles. The performance of the SlowLS reconstruction, including the resulting energy, angular, and position resolution, and particle identification capability, is presented for these samples. The dependence of the performance on the scintillation light yield and emission time constants is understood. This study will be a guideline for future MeV-scale neutrino CSD design and SlowLS development for the interested physics goals.

Research of Different Turbo Code Speeds, Types of Modulations, Decoding Methods and Their Compatibility With Encryption Techniques

“…The communication channel of Figure 1 works as follows: From the message source, a text is generated, which is encrypted via RSA algorithm and converted into a binary form containing a cryptotext and a public key from a written code in the command window of Matlab (code is almost similar as in source [5]), the binary message is passed through a matrix interleaver, where an additional shift by rows and columns takes place, then the series of 0's and 1's is encoded with the turbo encoder with different generating polynomials (different length and code rate), then the encoded ciphertext is modulated by 64-QAM modulator, the modulated signal is received at AWGN channel, where noise is added, after that the signal is demodulated, decoded and received by bit error calculator, which compare the real message with the received one and, also the send signal is received by "ber1" block which is connected with Matlab environment and the final result can by decrypted from the written RSA code. More about RSA algorithm in [6]. For the simulations are made 2 more models shown in fig.…”

“…Undoubtedly, with the excellent error correction potential, it has been selected to support data transmission in space exploring system as well [2], [3]. Also, communication over the public network infrastructure like Internet brings potential threat which necessitating the use of encrypted algorithms [4], [5], [6].…”

Performance evaluation of the 8-inch MCP-PMT for Jinping Neutrino Experiment

“…FWHM ∈ [2 ns, 15 ns] are selected to exclude the noise and large pulses. An exGaussian [37] is used to fit the SER, in which µ SER is the pulse location, σ SER and τ SER model its shape. They are measured to be τ SER = 7.2 ± 1.1 ns and σ SER = 1.62 ± 0.06 ns for the nine MCP-PMTs.…”

Optical property measurements of lithium chloride aqueous solution for a novel solar neutrino experiment

“…comparable with the Cherenkov light. This shifted light has similar spatial characteristics to scintillation light and may further enhance the energy resolution without compromising the direction reconstruction [15,16].…”

“…As is explained in ref. [16], this solution can be used as a Cherenkov-enhanced detection medium, giving a reasonable direction resolution and better energy and vertex resolution than pure water.…”