Embodiments of the present disclosure provide a method and a device for processing information and a storage medium. The method includes: obtaining intensities of electromagnetic radiation of locations which a mobile device passes during movement of the mobile device; creating a distribution map of electromagnetic radiation according to the intensities of electromagnetic radiation, the distribution map of electromagnetic radiation being configured to reflect an electromagnetic radiation distribution of a route which the mobile device passes; and generating a protective measure against the electromagnetic radiation according to the distribution map of electromagnetic radiation.

Embodiments of the present disclosure provide a method and a device for processing information and a storage medium. The method includes: obtaining intensities of electromagnetic radiation of locations which a mobile device passes during movement of the mobile device; creating a distribution map of electromagnetic radiation according to the intensities of electromagnetic radiation, the distribution map of electromagnetic radiation being configured to reflect an electromagnetic radiation distribution of a route which the mobile device passes; and generating a protective measure against the electromagnetic radiation according to the distribution map of electromagnetic radiation.

A system and method for material decomposition of a single energy spectrum x-ray dataset includes accessing the single energy spectrum x-ray dataset, receiving a user-selection of a desired energy for decomposition, and decomposing the single energy spectrum x-ray dataset into material bases as a linear combination of energy dependence function of selected basis materials and the corresponding spatial dependence material bases images.

A system and method for material decomposition of a single energy spectrum x-ray dataset includes accessing the single energy spectrum x-ray dataset, receiving a user-selection of a desired energy for decomposition, and decomposing the single energy spectrum x-ray dataset into material bases as a linear combination of energy dependence function of selected basis materials and the corresponding spatial dependence material bases images.

It is an object to provide a device and a method for x-ray and/or gamma ray detection. According to an embodiment, a device comprises: a detector comprising a plurality of pixels, wherein the plurality of pixels comprises a first subset of pixels configured to detect incident x-ray or gamma ray radiation in a first energy range and a second subset of pixels configured to detect incident x-ray or gamma ray radiation in a second energy range; a processing unit configured to: obtain a signal from each pixel in the plurality of pixels; obtain a radiation intensity value for each pixel in the plurality of pixels based on the signal of each pixel; calculate a radiation intensity estimate in the first energy range for at least one pixel in the second subset of pixels. A device and a method are provided.

The present disclosure describes aspects of a machine-learned (ML) spectrum analysis configured to distinguish between a plurality of radioisotope types and/or a plurality of emission levels of respective radioisotope types within spectrum data. The ML spectrum analyzer may utilize an artificial neural network (ANN) having an output layer configured to produce prediction data for respective labels, each label corresponding to a respective radioisotope. The prediction data may be configured to quantify an amount of each respective radioisotope within a subject of the spectrum.

A hybrid radiation detector is described comprising a first energy discriminating detector element selected to be sensitive to incident radiation of a lower energy range and a second detector element selected to be sensitive to incident radiation of a higher energy rage and a second detector element. In embodiments, a first detector element comprises a semiconductor detector; and a second detector element comprises a scintillator detector. The first detector element may thus be suitable to be more responsive to radiation in a first, lower energy range and/or configured and arranged to collect incident radiation emergent from a target of such energy that the photoelectric effect predominates as an attenuation mode in the target; and the second detector element may thus be suitable to be more responsive to radiation in a second, higher energy range and/or configured and arranged to collect incident radiation of a generally higher energy. A method of detecting radiation using such a hybrid detector is also described.

A method for identifying and quantifying radioisotopes in a gamma spectrum. and an algorithm based on convolutional neural networks (CNN) with a direct acyclic graph (DAG) structure are provided. The capacity to capture relevant attributes of CNNs combined with the possibility of carrying out several tasks of a DAG simultaneously allows performing precise, automatic identification and quantification in a single process. After appropriate training of the network, the only input needed is the raw spectrum measured by the device, without intervention of human operators and intermediate measurement processings.

A method of determining a spectrum of energies of individual quanta of radiation received in a radiation detector is disclosed. Spectrum sensitive statistics are computed from a time series of digital observations from the radiation detector, defining a mapping from a density of amplitudes of the pulses to the spectrum sensitive statistics. The spectrum is determined by estimating the density of amplitudes of the pulses by applying an inversion of the mapping to the spectrum sensitive statistics. The statistics may be based on a first set of nonoverlapping time intervals of constant length L at least as long as a duration of the pulses without regard to entirety of clusters of the pulses; and a second set of nonoverlapping time intervals of constant length L1 less than L also without regard to entirety of clusters of the pulses. A method of estimating count rate is also disclosed.

A method of determining a spectrum of energies of individual quanta of radiation received in a radiation detector is disclosed. Spectrum sensitive statistics are computed from a time series of digital observations from the radiation detector, defining a mapping from a density of amplitudes of the pulses to the spectrum sensitive statistics. The spectrum is determined by estimating the density of amplitudes of the pulses by applying an inversion of the mapping to the spectrum sensitive statistics. The statistics may be based on a first set of nonoverlapping time intervals of constant length L at least as long as a duration of the pulses without regard to entirety of clusters of the pulses; and a second set of nonoverlapping time intervals of constant length L1 less than L also without regard to entirety of clusters of the pulses. A method of estimating count rate is also disclosed.