A 64-channel ASIC for full waveform sampling with 200 MS/s for space-based cosmic-particles applications

This paper discusses the development of a 64-channel ApplicationSpecific Integrated Circuit designed in a commercial 65 nm CMOS technology to readout a camera plane composed of Silicon Photo-Multipliers. The purpose of the readout chain is the observation of Extensive Air Showers by detecting the Cherenkov radiation which signal is produced by Ultra-High Energy Cosmic Rays and Cosmic Neutrinos. Each ASIC generates a hitmap sent to an FPGA to analyze the pixel proximity. The stored data can be digitally converted on-chip if it is validated through this external checker. A single ASIC is formed by channels where 256 cells are connected to the output of the front-end electronics to obtain a full waveform sampling. An analog memory, a 12-bits Wilkinson Analog-to-Digital Converter and latches are placed into the cell unit working at 200 MHz clock. To derandomize the input signal, the array of cells is partitioned into segments of 32 cells each. The readout is realized using a serializer operating at 400 MHz in Double Data Rate. The ASIC is developed in the framework of the Extreme Universe Space Observatory - Super Pressure Balloon 2 mission, but it is also suitable for several other applications due to its configurability such as the partitioning and the resolution in the range of 8-12 bits. In this way, the chip can save power and conversion time, depending on the requirements of the experiment

A 64-channel ASIC for full waveform sampling with 200 MS/s for space-based cosmic-particles applications

This paper discusses the development of a 64-channel Application- Specific Integrated Circuit designed in a commercial 65 nm CMOS technology to readout a camera plane composed of Silicon Photo-Multipliers. The purpose of the readout chain is the observation of Extensive Air Showers by detecting the Cherenkov radiation which signal is produced by Ultra-High Energy Cosmic Rays and Cosmic Neutrinos. Each ASIC generates a hitmap sent to an FPGA to ana- lyze the pixel proximity. The stored data can be digitally converted on-chip if it is validated through this external checker. A single ASIC is formed by channels where 256 cells are connected to the output of the front-end electronics to obtain a full waveform sampling. An analog memory, a 12-bits Wilkinson Analog-to-Digital Converter and latches are placed into the cell unit working at 200 MHz clock. To derandomize the input signal, the array of cells is partitioned into segments of 32 cells each. The readout is realized using a serializer operating at 400 MHz in Double Data Rate. The ASIC is developed in the framework of the Extreme Universe Space Observatory - Super Pressure Balloon 2 mission, but it is also suitable for several other applications due to its configurability such as the partitioning and the resolu- tion in the range of 8-12 bits. In this way, the chip can save power and conversion time, depending on the requirements of the experiment

Reconciliation of subjective probabilities and frequencies in forensic science

There is a continuous flow of articles published in legal and scientific journals that recite outworn direct or subtle attacks on Bayesian reasoning and/or the use of the subjective or personalistic interpretation of probability. An example is the recent paper written by Kaplan et al. (2016), who, by referring to Kafadar’s review paper (2015), opined, but did not justify, that there is a ‘. . . need to reduce subjectivity in the evaluation of forensic science’ and argued that ‘. . . the view presented here supports the use of objective probabilities’ (Kaplan et al., 2016). To understand why the objection on the use of subjective probability is not persuasive and why the widely claimed objective probabilities do not exist, one must first scrutinize the historically competing interpretations of probability and their associated definitions. The basis of the defence of the use of the subjectivist interpretation of probability is the understanding of the simple points, misunderstood by critics, that subjectivity is not a synonym for arbitrariness and that the implementation of subjectivism does not neglect the use of the acquired knowledge that is often available in terms of relative frequencies. We will illustrate these points by reference to practical applications in forensic science where probabilities are often represented by relative frequencies. In this regard, our discussion clarifies the connection and the distinction between probabilities and fre- quencies. Specifically, we emphasize that probability is an expression of our personal belief, an inter- pretation not to be equated with relative frequency as a mere summary of data. Our argument reveals the inappropriateness of attempts to interpret relative frequencies as probabilities, and naturally solves common problems that derive from such attempts. Further we emphasize that, despite the fact that they can be given an explicit role in probability assignments, neither are relative frequencies a necessary condition for such assignments nor, in forensic applications that consider events for which probabilities need to be specified, need they be meaningfully conceptualized in a frequentist perspective