Ghost image analysis method, device and storage medium for space telescope bandpass camera

Abstract

The present invention belongs to the field of optical testing technology, and in particular relates to a ghost image analysis method, device and storage medium for a space telescope bandpass camera. The ghost image analysis method for a space telescope bandpass camera comprises the following steps: obtaining a square aperture angle #imgabs0# of the space telescope bandpass camera; measuring the transmittance and reflectance of a filter, wherein the transmittance of the front surface of the filter is #imgabs1#, the transmittance of the rear surface of the filter is #imgabs2#, the reflectance of the front surface of the filter is #imgabs3#, and the reflectance of the rear surface of the filter is #imgabs4#; measuring the reflectance of a detector, wherein the reflectance of the surface of the detector is #imgabs5#; measuring the thickness #imgabs6# of the filter, and measuring the distance #imgabs7# between the filter and the detector; and performing ghost image analysis based on an illumination distribution function of the ghost image and energy, radius, coordinate calculation formulas and the like. The present invention achieves, for the first time, quantitative analysis of the specific position, shape and magnitude of the ghost image, and can be used for generating scientific simulation images.

Description

Technical Field

[0001] The present invention belongs to the technical field of optical testing, and in particular relates to a ghost image analysis method for a bandpass camera of a space telescope, a computer device for executing the ghost image analysis method, and a non-transient computer-readable storage medium. Background Art

[0002] For space telescopes, if you want to achieve multi-color imaging rather than full-color imaging, you must use bandpass filters to achieve sub-band imaging of the target. If you want to achieve bandpass on the filter, you must coat it.

[0003] The principle of coating is that by depositing a series of thin film layers with varying refractive indices and thicknesses on a substrate, a filter can be created that selectively transmits or reflects specific wavelengths of light, thereby achieving a filtering effect. When light strikes a surface coated with multiple layers of dielectric thin films, each interface experiences partial reflection and transmission. The optical path differences between the different layers cause constructive interference (enhancement) or destructive interference (weakening) of the reflected or transmitted light within a specific wavelength range, resulting in "selective" transmission of light in certain wavelength bands and suppression or reflection of light in others. By precisely designing the refractive index and thickness of the thin film material, the filter can achieve the desired spectral characteristics (transmittance, cutoff, etc.) within specific spectral bands (visible, near-infrared, ultraviolet, etc.).

[0004] However, it's impossible for a coating to achieve 100% transmission or reflection, and neither can the detectors used for imaging. Therefore, light will reflect multiple times between the filter and the detector, resulting in ghost images. While various methods exist for detecting ghost images, these can only analyze their presence or absence, lacking quantitative analysis methods for their specific location, shape, and magnitude. This hinders the accurate assessment of ghost image impacts in astronomical observations and subsequent treatment. Summary of the Invention

[0005] In view of this, the present invention aims to provide a ghost image analysis method for a space telescope bandpass camera. Through the ghost image analysis method of the present invention, the specific position, shape, and magnitude of the ghost image are quantitatively analyzed for the first time, which can be used to generate scientific simulation images.

[0006] To achieve the above object, the technical solution created by the present invention is implemented as follows:

[0007] The present invention provides a ghost image analysis method for a space telescope bandpass camera. The space telescope bandpass camera includes a filter and a detector. The ghost images of the space telescope bandpass camera include a first ghost image, a second ghost image, and a third ghost image. The first ghost image is formed by two reflections of the front surface of the filter and the rear surface of the filter. The second ghost image is formed by two reflections of the rear surface of the filter and the surface of the detector. The third ghost image is formed by two reflections of the front surface of the filter and the surface of the detector.

[0008] The ghost image analysis method of the space telescope bandpass camera comprises the following steps:

[0009] S1. Obtain the exit pupil diameter and the optical path distance from the exit pupil to the image plane of the space telescope bandpass camera, and then obtain the image side aperture angle ;

[0010] S2. Measure the transmittance and reflectance of the filter. The transmittance of the front surface of the filter is , the transmittance of the rear surface of the filter is , the reflectivity of the front surface of the filter is , the reflectivity of the rear surface of the filter is ;

[0011] S3. Measure the reflectivity of the detector. The reflectivity of the surface of the detector is ;

[0012] S4. Measure the thickness of the filter , measure the distance between the filter and the detector ;

[0013] S5. Perform ghost image analysis using the illumination distribution function of the ghost image, where the illumination distribution function is: ;

[0014] is the illumination of the first ghost image, is the illumination of the second ghost image, is the illumination of the third ghost image; Representatives is the center of the circle, is the disk function of radius; is the radius of the first ghost image, is the radius of the second ghost image, is the radius of the third ghost image.

[0015] Furthermore, the total energy of the first ghost image is ;

[0016] The total energy of the second ghost image is ;

[0017] The total energy of the third ghost image is ;

[0018] in, is the total energy of the incident light to the bandpass camera of the space telescope.

[0019] Furthermore, the radius of the first ghost image is ;

[0020] The radius of the first ghost image is ;

[0021] The radius of the first ghost image is .

[0022] Furthermore, the illumination of the first ghost image is ;

[0023] The illumination of the second ghost image is ;

[0024] The illumination of the third ghost image is .

[0025] Furthermore, the center coordinates of the first ghost image are

[0026] ;

[0027] The center coordinates of the second ghost image are

[0028] ;

[0029] The center coordinates of the third ghost image are

[0030] .

[0031] Furthermore, the front surface of the optical filter is coated with an anti-reflection film or a band-pass film, and the rear surface of the optical filter is coated with an anti-reflection film or a band-pass film.

[0032] Furthermore, the ghost image analysis method of the space telescope bandpass camera further includes the steps of:

[0033] S6. Perform a ghost image test experiment using the experimental apparatus to obtain image data containing ghost images; collect ghost image information from the image data, the ghost image information including the location, size, and energy information of the ghost image; and enter the ghost image information into various calculation formulas for verification or derivation.

[0034] The present invention also provides a computer device, comprising:

[0035] at least one processor; and

[0036] a memory communicatively connected to the at least one processor; wherein,

[0037] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the ghost image analysis method for the space telescope bandpass camera of the present invention.

[0038] The present invention also provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute the ghost image analysis method for the space telescope bandpass camera of the present invention.

[0039] Compared with the prior art, the present invention can achieve the following beneficial effects:

[0040] The ghost image analysis method for a space telescope bandpass camera provided by the present invention only requires measuring basic parameter indicators such as the incident angle of light, the thickness of the filter, the distance between the filter and the detector, the transmittance and reflectance of the front and rear surfaces of the filter, and the reflectance of the detector. The position, size, and irradiance of the ghost image can be accurately obtained through the solution provided by the present invention. Moreover, if the thickness of the filter, the distance between the filter and the detector, the transmittance and reflectance of the front and rear surfaces of the filter cannot be accurately measured, the ghost image analysis method of the present invention can also be used to reversely calculate the relevant indicators, which can then be used in the simulation of scientific images and the analysis of astronomical observations. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings, which constitute part of the present invention, are intended to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are intended to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings:

[0042] Figure 1 This is a schematic diagram of the overall process of the ghost image analysis method for a space telescope bandpass camera according to an embodiment of the present invention;

[0043] Figure 2 A schematic diagram of the optical path of ghost images formed in the ghost image analysis method for a space telescope bandpass camera according to an embodiment of the present invention;

[0044] Figure 3 A real test image with ghost images in the ghost image analysis method of a space telescope bandpass camera according to an embodiment of the present invention;

[0045] Figure 4 Schematic diagram of a computer device for executing a ghost image analysis method for a space telescope bandpass camera according to an embodiment of the present invention.

[0046] Description of reference numerals:

[0047] 12. Computer device; 14. External device; 16. Processing unit; 18. Bus; 20. Network adapter; 22. I / O interface; 24. Display; 28. System memory; 30. RAM; 32. Cache; 34. Storage system; 40. Programs / utilities; 42. Program modules. DETAILED DESCRIPTION

[0048] In order to make the purpose, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention and do not constitute a limitation of the present invention.

[0049] It should be noted that, in the absence of conflict, the embodiments of the present invention and the features in the embodiments can be combined with each other.

[0050] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside" and the like indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore cannot be understood as a limitation on the present invention. In addition, the terms "first", "second" and the like are only used for descriptive purposes and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, features defined as "first", "second" and the like may explicitly or implicitly include one or more of the features. In the description of the present invention, unless otherwise specified, "multiple" means two or more.

[0051] In the description of the present invention, it should be noted that, unless otherwise expressly specified or limited, the terms "installed," "connected," and "connected" should be understood in a broad sense. For example, they can refer to fixed connections, detachable connections, or integral connections; they can refer to mechanical connections or electrical connections; they can refer to direct connections or indirect connections through an intermediate medium; and they can refer to internal connections between two components. Those skilled in the art can understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0052] In a specific embodiment of the present invention, a method for analyzing ghost images of a space telescope bandpass camera is provided, specifically a method for analyzing ghost images of a space telescope bandpass camera. Through the ghost image analysis method of the present invention, the specific position, shape, and magnitude of ghost images can be quantitatively analyzed for the first time, which can be used to generate scientific simulation images.

[0053] Specifically, such as Figure 1 As shown, it is a schematic diagram of the overall process of the ghost image analysis method of the space telescope bandpass camera according to a specific embodiment of the present invention. In this specific embodiment, the space telescope bandpass camera includes a filter and a detector, and the ghost images of the space telescope bandpass camera include a first ghost image, a second ghost image, and a third ghost image; the first ghost image is formed by two reflections of the front surface of the filter and the rear surface of the filter; the second ghost image is formed by two reflections of the rear surface of the filter and the surface of the detector; the third ghost image is formed by two reflections of the front surface of the filter and the surface of the detector; since ghost images can only be generated after an even number of reflections, and each reflection means a large amount of energy loss, for high-quality detectors, the maximum reflectivity of each band does not exceed 20%, while after the filter is coated with an anti-reflection coating, the reflectivity of some bands can be lower than 2%. Therefore, based on computing power and actual conditions, only the ghost images of two reflections need to be considered to meet the analysis requirements in actual scenarios; therefore, the ghost image analysis method provided by the specific embodiment of the present invention only needs to consider the three types of ghost images formed by two reflections.

[0054] Specifically, as can be seen from the figure, the ghost image analysis method of the space telescope bandpass camera includes the following steps:

[0055] S1. Obtain the exit pupil diameter and the optical path distance from the exit pupil to the image plane of the space telescope bandpass camera, and then obtain the image side aperture angle ;

[0056] S2. Measure the transmittance and reflectance of the filter. The transmittance of the front surface of the filter is , the transmittance of the rear surface of the filter is , the reflectivity of the front surface of the filter is , the reflectivity of the rear surface of the filter is ;

[0057] S3. Measure the reflectivity of the detector. The reflectivity of the surface of the detector is ;

[0058] S4. Measure the thickness of the filter , measure the distance between the filter and the detector ;

[0059] S5. Perform ghost image analysis using the illumination distribution function of the ghost image, where the illumination distribution function is: ;

[0060] is the illumination of the first ghost image, is the illumination of the second ghost image, is the illumination of the third ghost image; Representatives is the center of the circle, is the disk function of radius; is the radius of the first ghost image, is the radius of the second ghost image, is the radius of the third ghost image.

[0061] In a specific embodiment, the total energy of the first ghost image is ;

[0062] The total energy of the second ghost image is ;

[0063] The total energy of the third ghost image is ;

[0064] in, is the total energy of the incident light to the bandpass camera of the space telescope.

[0065] The radius of the first ghost image is ;

[0066] The radius of the first ghost image is ;

[0067] The radius of the first ghost image is .

[0068] The illumination of the first ghost image is ;

[0069] The illumination of the second ghost image is ;

[0070] The illumination of the third ghost image is .

[0071] The center coordinates of the first ghost image are

[0072] ;

[0073] The center coordinates of the second ghost image are

[0074] ;

[0075] The center coordinates of the third ghost image are

[0076] .

[0077] In a specific embodiment, the front surface of the optical filter is coated with an anti-reflection film or a bandpass film, and the rear surface of the optical filter is coated with an anti-reflection film or a bandpass film.

[0078] Furthermore, the ghost image analysis method of the space telescope bandpass camera further includes the steps of:

[0079] S6. Perform a ghost image test experiment using the experimental apparatus to obtain image data containing ghost images; collect ghost image information from the image data, the ghost image information including the location, size, and energy information of the ghost image; and enter the ghost image information into various calculation formulas for verification or derivation.

[0080] A specific embodiment of the present invention further provides a computer device, comprising:

[0081] at least one processor; and

[0082] a memory communicatively connected to the at least one processor; wherein,

[0083] The memory stores instructions that can be executed by the at least one processor. The instructions are executed by the at least one processor to enable the at least one processor to perform the ghost image analysis method for the space telescope bandpass camera of the present invention.

[0084] A specific embodiment of the present invention further provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to execute the ghost image analysis method for a space telescope bandpass camera of the present invention.

[0085] The present invention provides a method for analyzing ghost images of a space telescope bandpass camera. The method only requires knowing indicators such as the incident angle of light, the thickness of the filter, the distance between the filter and the detector, the transmittance and reflectance of the front and rear surfaces of the filter, and the reflectance of the detector to accurately calculate the position, size, and irradiance of the ghost image. If the thickness of the filter, the distance between the filter and the detector, the transmittance and reflectance of the front and rear surfaces of the filter cannot be accurately measured, the ghost image test and analysis of the method can be used to reversely calculate the relevant indicators, which can then be used in the simulation of scientific images and the analysis of astronomical observations.

[0086] Specifically, if the parameters to be measured cannot be accurately measured, we can also use experimental devices such as halogen lamp light source, thousand-fold attenuation plate, 3m parallel light tube, high-sensitivity six-degree-of-freedom adjustment stage, etc., to produce ghost images by shooting overexposed images, and reversely calculate the above parameters; the specific measurement method includes: measuring a higher energy without overexposure, recording the pixel code value, exposure time, and attenuation plate multiple; then removing the attenuation plate and increasing the exposure time, thereby amplifying the energy by tens of thousands or even hundreds of thousands of times, thereby accurately obtaining a clear ghost image, and then using SAOImageDS9 or other image viewing software to obtain the energy of the pixel and the energy and radius of the ghost image; the measured pixel energy , ghost energy , ghost image radius 、 、 By bringing these into the various calculation formula models of the present invention, parameters such as the thickness of the filter, the distance between the filter and the detector, the transmittance and reflectivity of the front and back surfaces of the filter, and the reflectivity of the detector can be reversely inferred, thereby establishing the calculation formula model of the present invention; furthermore, scientific simulation images with ghost images can be generated, and the ghost images that may be produced by the telescope bandpass camera when it is in the sky can be analyzed.

[0087] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments.

[0088] Ghost images are usually only produced after an even number of reflections, and each reflection means a large amount of energy loss. For high-quality detectors, the maximum reflectivity of each band does not exceed 20%. After the filter is coated with an anti-reflection coating, the reflectivity of some bands can be less than 2%. Therefore, based on computing power and actual conditions, only considering ghost images with two reflections can meet the analysis needs in actual scenarios. The space telescope bandpass camera of this embodiment includes a filter and a detector. The ghost images of the space telescope bandpass camera include a first ghost image, a second ghost image, and a third ghost image; the first ghost image is formed by two reflections from the front surface of the filter and the rear surface of the filter; the second ghost image is formed by two reflections from the rear surface of the filter and the surface of the detector; and the third ghost image is formed by two reflections from the front surface of the filter and the surface of the detector.

[0089] like Figure 1 FIG. 1 is a schematic diagram of the overall flow of a method for analyzing ghost images of a space telescope bandpass camera according to a specific embodiment of the present invention. As can be seen from the figure, the method for analyzing ghost images of a space telescope bandpass camera includes the following steps:

[0090] S1. Obtain the exit pupil diameter and the optical path distance from the exit pupil to the image plane of the space telescope bandpass camera, and then obtain the image side aperture angle Specifically, the image side aperture angle can be obtained by dividing the exit pupil diameter and the optical path distance from the exit pupil to the image plane. ;

[0091] S2. Measure the transmittance and reflectance of the filter. The transmittance of the front surface of the filter is , the transmittance of the rear surface of the filter is , the reflectivity of the front surface of the filter is , the reflectivity of the rear surface of the filter is Specifically, you can use a spectrophotometer to measure, place the filter in the light path, record the transmitted light intensity, and calculate the transmittance by comparing it with the reference light intensity; when measuring reflectivity, you need to install a mirror reflection accessory, set the incident angle, use a standard reflector as a reference, then measure the filter reflected light intensity, and calculate the sample reflectivity by comparing it with the standard mirror reflectivity.

[0092] S3. Measure the reflectivity of the detector. The reflectivity of the surface of the detector is Specifically, the detector reflectivity measurement method is the same as the filter reflectivity measurement method.

[0093] S4. Measure the thickness of the filter , measure the distance between the filter and the detector Specifically, the thickness of the filter can be directly measured using a micrometer; the distance between the filter and the detector can be measured using a microscope focusing method, where the filter and detector surfaces are aligned respectively, and the focal plane position difference is recorded, which is the distance between the two.

[0094] S5. Perform ghost image analysis using the illumination distribution function of the ghost image, where the illumination distribution function is: ;

[0095] is the illumination of the first ghost image, is the illumination of the second ghost image, is the illumination of the third ghost image; Representatives is the center of the circle, is the disk function of radius; is the radius of the first ghost image, is the radius of the second ghost image, is the radius of the third ghost image.

[0096] According to the specific structure of the space telescope bandpass camera of this embodiment, the optical path diagram formed by the secondary ghost image is analyzed as follows: Figure 2As shown; from left to right in the figure, they represent the normal incident light and the image point, the light range and center of the first ghost image, the light range and center of the second ghost image, and the light range and center of the third ghost image. It can be seen from the figure that the light path that forms the ghost image can be seen. Referring to the original light color in the light path diagram, the propagation process of each ghost image can be seen. The various calculation formulas of the present invention are obtained through light path analysis and calculation deduction.

[0097] Specifically in this embodiment, the total energy of the incident light of the space telescope bandpass camera is Each time the incident light passes through the front surface of the filter, the energy is multiplied by , each time it is reflected by the front surface of the filter, it is multiplied by The transmission and reflection of the rear surface of the filter are similar, and the reflection of the detector is similar; therefore,

[0098] The total energy of the first ghost image is ;

[0099] The total energy of the second ghost image is ;

[0100] The total energy of the third ghost image is .

[0101] The radius of the first ghost image is ;

[0102] The radius of the first ghost image is ;

[0103] The radius of the first ghost image is .

[0104] The illumination of the first ghost image is ;

[0105] The illumination of the second ghost image is ;

[0106] The illumination of the third ghost image is .

[0107] The center coordinates of the first ghost image are

[0108] ;

[0109] The center coordinates of the second ghost image are

[0110] ;

[0111] The center coordinates of the third ghost image are

[0112] .

[0113] Specifically in this embodiment, the front and rear surfaces of the filter can be coated with an antireflection film or a bandpass film, respectively, according to the specific design requirements of the telescope. These films may have different transmittances and reflectivities. The film thickness ranges from a few hundred nanometers to a few microns, which is much smaller than the millimeter-level thickness of the filter substrate and can therefore be ignored.

[0114] S7. After changing the position, the image data of the ghost image is obtained again to verify that the various calculation formulas provided by the present invention are correct and can be used to generate scientific simulation images.

[0115] Specifically, in this embodiment, the ghost image analysis method provided by the present invention is verified. The specific measurement method includes measuring a relatively high energy without overexposure, recording the pixel code value, exposure time, and attenuation film multiple; then removing the attenuation film and increasing the exposure time, thereby amplifying the energy by tens of thousands or even hundreds of thousands of times, thereby accurately obtaining a clear ghost image, the energy of the pixel, and the energy of the ghost image. Figure 3 As shown in the figure, the green circled part is the ghost image.

[0116] Specifically in this embodiment, the ghost image analysis method of the space telescope bandpass camera further includes the steps of:

[0117] S6. Conduct a ghost image test experiment using an experimental device to obtain image data containing ghost images; collect ghost image information from the image data, wherein the ghost image information includes the location of the ghost image, the size of the ghost image, and the energy information of the ghost image; substitute the ghost image information into the formula to verify or derive relevant information of the imaging system; specifically, a series of experimental devices may include a halogen lamp light source, a 3m parallel light tube, a high-sensitivity six-degree-of-freedom adjustment table, etc.; the experiment can obtain the ghost image information of a single light source in the test scenario, but when the space telescope is launched into space, it faces a starry sky with thousands of light sources. What the ghost images formed by the bright stars in the field of view look like must be inferred through the various calculation processes provided by the present invention.

[0118] Specifically in this embodiment, the ghost image analysis method of the space telescope bandpass camera further includes the steps of:

[0119] Accordingly, according to an embodiment of the present invention, the present invention also provides a computer device, a readable storage medium, and a computer program product.

[0120] Figure 4 FIG. 1 is a structural diagram of a computer device 12 provided in an embodiment of the present invention. Figure 4 A block diagram of an exemplary computer device 12 suitable for use in implementing embodiments of the present invention is shown. Figure 4 The computer device 12 shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present invention.

[0121] like Figure 4 As shown, computer device 12 is represented in the form of a general-purpose computing device. Computer device 12 is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. Electronic devices can also represent various forms of mobile devices, such as personal digital assistants, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0122] Components of computer device 12 may include, but are not limited to, one or more processors or processing units 16 , a system memory 28 , and a bus 18 that connects various system components, including system memory 28 and processing unit 16 .

[0123] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of these architectures include, but are not limited to, an Industry Standard Architecture (ISA) bus, a Micro Channel Architecture (MAC) bus, an Enhanced ISA bus, a Video Electronics Standards Association (VESA) local bus, and a Peripheral Component Interconnect (PCI) bus.

[0124] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0125] System memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory (cache) 32. Computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, storage system 34 may be configured to read and write non-removable, non-volatile magnetic media ( Figure 4 Not shown, often called a "hard drive"). Although Figure 4Not shown, a magnetic disk drive for reading and writing to a removable non-volatile magnetic disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a CD-ROM, DVD-ROM, or other optical media) may be provided. In these cases, each drive may be connected to bus 18 via one or more data media interfaces. Memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of various embodiments of the present invention.

[0126] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may include an implementation of a network environment. Program modules 42 generally implement the functions and / or methods of the embodiments described herein.

[0127] The computer device 12 can also communicate with one or more external devices 14 (e.g., a keyboard, pointing device, display 24, etc.), one or more devices that enable a user to interact with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). Such communication can occur via an input / output (I / O) interface 22. Furthermore, the computer device 12 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with the other modules of the computer device 12 via a bus 18. It should be understood that, although not shown, other hardware and / or software modules can be used in conjunction with the computer device 12, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0128] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28 , such as implementing the ghost image analysis method for a space telescope bandpass camera provided by an embodiment of the present invention.

[0129] An embodiment of the present invention further provides a non-transitory computer-readable storage medium storing computer instructions, on which a computer program is stored. When the program is executed by a processor, the ghost image analysis method of the space telescope bandpass camera provided in all the inventive embodiments of the present application is implemented.

[0130] The computer storage medium of the embodiments of the present invention may adopt any combination of one or more computer-readable media. The computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium. More specific examples (a non-exhaustive list) of computer-readable storage media include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this document, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device.

[0131] A computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device.

[0132] The program code that comprises on the computer-readable medium can be transmitted with any appropriate medium, includes but not limited to wireless, electric wire, optical cable, RF etc., or above-mentioned any suitable combination.Can write the computer program code that is used to carry out the operation of the present invention with one or more programming languages or its combination, described programming language comprises object-oriented programming language such as Java, Smalltalk, C++, also comprises conventional procedural programming language--such as " C " language or similar programming language.Program code can be carried out on user's computer completely, partly on user's computer, carry out as an independent software package, partly on user's computer partly on remote computer, or carry out completely on remote computer or server.In the situation that relates to remote computer, remote computer can comprise local area network (LAN) or wide area network (WAN) to be connected to user's computer by the network of any kind, perhaps, can be connected to external computer (for example, utilize Internet service provider to come to connect by Internet).

[0133] An embodiment of the present invention further provides a computer program product, including a computer program, which implements the above-mentioned ghost image analysis method for a space telescope bandpass camera when executed by a processor.

[0134] It should be understood that the various forms of the processes shown above can be used to reorder, add, or delete steps. For example, the steps described in the present disclosure can be performed in parallel, sequentially, or in a different order, as long as the desired results of the technical solutions disclosed in the present disclosure can be achieved. This is not limited herein.

[0135] The above specific embodiments do not limit the scope of protection of the present invention. Those skilled in the art will appreciate that various modifications, combinations, sub-combinations, and substitutions may be made based on design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of the present invention are intended to be included within the scope of protection of the present invention.

Claims

1. A ghost image analysis method for a space telescope bandpass camera, characterized by: The space telescope bandpass camera includes a filter and a detector. The ghost images of the space telescope bandpass camera include a first ghost image, a second ghost image, and a third ghost image. The first ghost image is formed by two reflections of the front surface of the filter and the rear surface of the filter. The second ghost image is formed by two reflections of the rear surface of the filter and the surface of the detector. The third ghost image is formed by two reflections of the front surface of the filter and the surface of the detector. The ghost image analysis method of the space telescope bandpass camera comprises the following steps: S1. Obtain the exit pupil diameter and the optical path distance from the exit pupil to the image plane of the space telescope bandpass camera, and then obtain the image side aperture angle ; S2. Measure the transmittance and reflectance of the filter. The transmittance of the front surface of the filter is , the transmittance of the rear surface of the filter is , the reflectivity of the front surface of the filter is , the reflectivity of the rear surface of the filter is ; S3. Measure the reflectivity of the detector. The reflectivity of the surface of the detector is ; S4. Measure the thickness of the filter , measure the distance between the filter and the detector ; S5. Perform ghost image analysis using the illumination distribution function of the ghost image, where the illumination distribution function is: ; is the illumination of the first ghost image, is the illumination of the second ghost image, is the illumination of the third ghost image; Representatives is the center of the circle, is the disk function of radius; is the radius of the first ghost image, is the radius of the second ghost image, is the radius of the third ghost image.

2. The ghost image analysis method for a space telescope bandpass camera according to claim 1, wherein: The total energy of the first ghost image is ; The total energy of the second ghost image is ; The total energy of the third ghost image is ; in, is the total energy of the incident light to the bandpass camera of the space telescope.

3. The ghost image analysis method for a space telescope bandpass camera according to claim 2, wherein: The radius of the first ghost image is ; The radius of the first ghost image is ; The radius of the first ghost image is .

4. The ghost image analysis method for a space telescope bandpass camera according to claim 3, wherein: The illumination of the first ghost image is ; The illumination of the second ghost image is ; The illumination of the third ghost image is .

5. The ghost image analysis method for a space telescope bandpass camera according to claim 4, characterized in that: The center coordinates of the first ghost image are ； The center coordinates of the second ghost image are ； The center coordinates of the third ghost image are 。 6. The ghost image analysis method for a space telescope bandpass camera according to claim 1, wherein: The front surface of the filter is coated with an anti-reflection film or a band-pass film, and the rear surface of the filter is coated with an anti-reflection film or a band-pass film.

7. The ghost image analysis method for a space telescope bandpass camera according to claim 1, characterized in that: The ghost image analysis method of the space telescope bandpass camera further comprises the steps of: S6. Conduct a ghost image test experiment using an experimental device to obtain image data containing ghost images; collect ghost image information from the image data, wherein the ghost image information includes the location of the ghost image, the size of the ghost image, and the energy information of the ghost image; and input the ghost image information into various calculation formulas for verification or deduction.

8. A computer device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the ghost image analysis method for a space telescope bandpass camera according to any one of claims 1 to 7.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: The computer instructions are used to enable the computer to execute the ghost image analysis method for a space telescope bandpass camera according to any one of claims 1 to 7.

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