Techniques for coupling fields to exotic matter at a particular location to identify, or determine the current date/time at that location, are provided. Example techniques include capturing sensor data indicating a decay rate associated with a radioactive material at the location over a period of time; analyzing the sensor data indicating the decay rate associated with the radioactive material at the location over the period of time in order to identify a peak decay rate over the period of time and a point in time, over the period of time, at which the peak decay rate occurred; and determining one or more of: a current time at the particular location, a current date at the location, or an identification of the location, based on one or more of: the peak decay rate or the point in time over the period of time at which the peak decay rate occurred.

Techniques for coupling fields to exotic matter at a particular location to identify, or determine the current date/time at that location, are provided. Example techniques include capturing sensor data indicating a decay rate associated with a radioactive material at the location over a period of time; analyzing the sensor data indicating the decay rate associated with the radioactive material at the location over the period of time in order to identify a peak decay rate over the period of time and a point in time, over the period of time, at which the peak decay rate occurred; and determining one or more of: a current time at the particular location, a current date at the location, or an identification of the location, based on one or more of: the peak decay rate or the point in time over the period of time at which the peak decay rate occurred.

Aspects of the present disclosure relate to a photon counting detector and to a read-out integrated circuit to be used in such detector. Aspects of the present disclosure particularly relate to X-ray applications. According to an aspect of the present disclosure, the detector comprises an electrical ground plane arranged at or near an interface between the carrier and at least one ROIC die. Each ROIC die comprises an extension region that laterally extends beyond the photon conversion assembly, wherein peripheral circuitry for a given ROIC die is arranged in the extension region of that ROIC die. The detector comprises at least one electrical connection that connects the power supply line that is arranged on the carrier to the peripheral circuitry of the at least one ROIC die.

Aspects of the present disclosure relate to a photon counting detector and to a read-out integrated circuit to be used in such detector. Aspects of the present disclosure particularly relate to X-ray applications. According to an aspect of the present disclosure, the detector comprises an electrical ground plane arranged at or near an interface between the carrier and at least one ROIC die. Each ROIC die comprises an extension region that laterally extends beyond the photon conversion assembly, wherein peripheral circuitry for a given ROIC die is arranged in the extension region of that ROIC die. The detector comprises at least one electrical connection that connects the power supply line that is arranged on the carrier to the peripheral circuitry of the at least one ROIC die.

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.

Techniques are disclosed for systems and methods to provide a radiation detector module for a radiation detector. A radiation detector module includes a metallic and/or metalized enclosure, a radiation sensor disposed within the enclosure, readout electronics configured to provide radiation detection event signals corresponding to incident ionizing radiation in the radiation sensor, and a cap including an internal interface configured to couple to the readout electronics and an external interface configured to couple to a radiation detector, where the cap is configured to hermetically seal the radiation sensor within the enclosure. The cap may be implemented as an edge plated printed circuit board (PCB) including a slot configured to mate with a planar edge of an open surface of the enclosure, where the slot is soldered to the planar edge of the enclosure to hermetically seal the radiation sensor within the enclosure.

Techniques are disclosed for systems and methods to provide a radiation detector module for a radiation detector. A radiation detector module includes a metallic and/or metalized enclosure, a radiation sensor disposed within the enclosure, readout electronics configured to provide radiation detection event signals corresponding to incident ionizing radiation in the radiation sensor, and a cap including an internal interface configured to couple to the readout electronics and an external interface configured to couple to a radiation detector, where the cap is configured to hermetically seal the radiation sensor within the enclosure. The cap may be implemented as an edge plated printed circuit board (PCB) including a slot configured to mate with a planar edge of an open surface of the enclosure, where the slot is soldered to the planar edge of the enclosure to hermetically seal the radiation sensor within the enclosure.

A method is provided to reduce the counting times in radiation detection systems using machine learning, wherein the method comprises: receiving output data from a detector which is to detect a target material from a target body; analyzing the output data; identifying a material of interest from the analyzed output data; and controlling a source of the target material to prevent the source from harming the target body. An apparatus is also provided which comprises: a detector to detect radiation and to provide an output data in real-time; and a processor coupled to the detector, wherein the processor is to: receive the output data; analyze the output data; identify a material of interest from the analyzed output data; and control a source of the target material.

A method is provided to reduce the counting times in radiation detection systems using machine learning, wherein the method comprises: receiving output data from a detector which is to detect a target material from a target body; analyzing the output data; identifying a material of interest from the analyzed output data; and controlling a source of the target material to prevent the source from harming the target body. An apparatus is also provided which comprises: a detector to detect radiation and to provide an output data in real-time; and a processor coupled to the detector, wherein the processor is to: receive the output data; analyze the output data; identify a material of interest from the analyzed output data; and control a source of the target material.