A borehole muon detector for muon radiography or geotomography is provided, the borehole muon detector including a substantially cylindrical housing, which defines a bore, a pair of end caps, each end cap sealing an end of the cylindrical housing and a plurality of sealed drift tubes which are longitudinally disposed in the bore of the housing to form a bundle of drift tubes, wherein each sealed drift tube comprises: a centrally located anode wire disposed on a longitudinal axis; an inner surface which is coated with a cathode coating, the cathode coating divided into a first cathode pad and a second cathode pad by a Vernier pattern; and a timer in electrical communication with the anode wire for measuring a drift time. A system and a method are also provided.

A neural network based corrector for photon counting detectors is described. A method for photon count correction includes receiving, by a trained artificial neural network (ANN), a detected photon count from a photon counting detector. The detected photon count corresponds to an attenuated energy spectrum. The attenuated energy spectrum is related to characteristics of an imaging object and is based, at least in part, on an incident energy spectrum. The method further includes correcting, by the trained ANN, the detected photon count to produce a corrected photon count. The method may include reconstructing, by image reconstruction circuitry, an image based, at least in part, on the corrected photon count.

A neural network based corrector for photon counting detectors is described. A method for photon count correction includes receiving, by a trained artificial neural network (ANN), a detected photon count from a photon counting detector. The detected photon count corresponds to an attenuated energy spectrum. The attenuated energy spectrum is related to characteristics of an imaging object and is based, at least in part, on an incident energy spectrum. The method further includes correcting, by the trained ANN, the detected photon count to produce a corrected photon count. The method may include reconstructing, by image reconstruction circuitry, an image based, at least in part, on the corrected photon count.

In one embodiment, a charged-particle trajectory measurement apparatus for measuring a trajectory of a cosmic ray muon as a charged particle includes: a plurality of detectors, each of which generates a detection signal at the time of detecting a cosmic ray muon; a signal processing circuit that processes the detection signal from the detector; a time calculator that calculates the generation time point of the detection signal from the detector on the basis of the signal outputted from the signal processing circuit; a trajectory calculator that calculates the trajectory of the cosmic ray muon on the basis of the generation time point of the detection signal and the positional information of the detector having detected the cosmic ray muon, wherein the signal processing circuit and each of the detectors are integrally configured by being coupled to each other.

In one embodiment, a charged-particle trajectory measurement apparatus for measuring a trajectory of a cosmic ray muon as a charged particle includes: a plurality of detectors, each of which generates a detection signal at the time of detecting a cosmic ray muon; a signal processing circuit that processes the detection signal from the detector; a time calculator that calculates the generation time point of the detection signal from the detector on the basis of the signal outputted from the signal processing circuit; a trajectory calculator that calculates the trajectory of the cosmic ray muon on the basis of the generation time point of the detection signal and the positional information of the detector having detected the cosmic ray muon, wherein the signal processing circuit and each of the detectors are integrally configured by being coupled to each other.

There are provided a radiation detector capable of detecting radiation without occurrence of dead time while maintaining an exposure state in which radiation enters continuously, and an X-ray analysis apparatus and a radiation detection method using the radiation detector. A radiation detector 100 that detects radiation in synchronization with an external apparatus 200, includes: a sensor 110 that generates pulses when radiation particles are detected; a plurality of counters 140a, 140b provided so as to be able to count the pulses; and a control circuit 160 configured to switch a counter to count the pulses among the plurality of counters 140a, 140b, when receiving a synchronization signal from the external apparatus 200.

There are provided a radiation detector capable of detecting radiation without occurrence of dead time while maintaining an exposure state in which radiation enters continuously, and an X-ray analysis apparatus and a radiation detection method using the radiation detector. A radiation detector 100 that detects radiation in synchronization with an external apparatus 200, includes: a sensor 110 that generates pulses when radiation particles are detected; a plurality of counters 140a, 140b provided so as to be able to count the pulses; and a control circuit 160 configured to switch a counter to count the pulses among the plurality of counters 140a, 140b, when receiving a synchronization signal from the external apparatus 200.

A converter unit configured to convert incident photons into electrons comprises multiple blind holes forming respective ionization chambers. In additional embodiments, the converter unit is arranged in a detector, such as an X-ray detector or absolute radiation dose measurement detector, additionally comprising an electron amplification device and/or a readout device.

A neural network based corrector for photon counting detectors is described. A method for photon count correction includes receiving, by a trained artificial neural network (ANN), a detected photon count from a photon counting detector. The detected photon count corresponds to an attenuated energy spectrum. The attenuated energy spectrum is related to characteristics of an imaging object and is based, at least in part, on an incident energy spectrum. The method further includes correcting, by the trained ANN, the detected photon count to produce a corrected photon count. The method may include reconstructing, by image reconstruction circuitry, an image based, at least in part, on the corrected photon count.

A neural network based corrector for photon counting detectors is described. A method for photon count correction includes receiving, by a trained artificial neural network (ANN), a detected photon count from a photon counting detector. The detected photon count corresponds to an attenuated energy spectrum. The attenuated energy spectrum is related to characteristics of an imaging object and is based, at least in part, on an incident energy spectrum. The method further includes correcting, by the trained ANN, the detected photon count to produce a corrected photon count. The method may include reconstructing, by image reconstruction circuitry, an image based, at least in part, on the corrected photon count.