CN115097539A - Real-time charging rate prediction method and system for space gravitational wave detection test quality - Google Patents
Real-time charging rate prediction method and system for space gravitational wave detection test quality Download PDFInfo
- Publication number
- CN115097539A CN115097539A CN202210792195.2A CN202210792195A CN115097539A CN 115097539 A CN115097539 A CN 115097539A CN 202210792195 A CN202210792195 A CN 202210792195A CN 115097539 A CN115097539 A CN 115097539A
- Authority
- CN
- China
- Prior art keywords
- real
- cosmic ray
- charging
- energy
- point
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V7/00—Measuring gravitational fields or waves; Gravimetric prospecting or detecting
- G01V7/16—Measuring gravitational fields or waves; Gravimetric prospecting or detecting specially adapted for use on moving platforms, e.g. ship, aircraft
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01T—MEASUREMENT OF NUCLEAR OR X-RADIATION
- G01T1/00—Measuring X-radiation, gamma radiation, corpuscular radiation, or cosmic radiation
- G01T1/36—Measuring spectral distribution of X-rays or of nuclear radiation spectrometry
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Molecular Biology (AREA)
- High Energy & Nuclear Physics (AREA)
- Health & Medical Sciences (AREA)
- Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Ocean & Marine Engineering (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geophysics (AREA)
- Measurement Of Radiation (AREA)
Abstract
The invention discloses a real-time charging rate prediction method and a real-time charging rate prediction system for space gravitational wave detection test quality, wherein the method comprises the following steps: step S1, acquiring a cosmic ray actually-measured energy spectrum; step S2, acquiring the charging capacity of the cosmic ray particle single energy point; and step S3, obtaining real-time prediction test quality charging rate according to the cosmic ray actual measurement energy spectrum and the charging capacity of the cosmic ray particle single energy point. By adopting the technical scheme of the invention, the real-time charging rate of the test quality can be obtained.
Description
Technical Field
The invention belongs to the technical field of gravitational wave detection, and particularly relates to a real-time charging rate prediction method and system for space gravitational wave detection test quality.
Background
The test mass is a core sensor for detecting the space gravitational wave, and is a cubic gold-platinum alloy suspended in the spacecraft, and the whole spacecraft is in a drag-free state based on the test mass. In order to enable the space gravitational wave detection laser ranging system to accurately capture weak gravitational wave signals, the requirement for noise related to test quality is extremely strict. The noise sources can be classified as: firstly, the interplanetary radiation environment directly affects the noise of the test quality; second, gravitational wave detection spacecraft itself or the environment causes noise that indirectly tests quality. The main sources of the first type of noise are the deposition of primary particles and secondary particles of the source of the Galaxy cosmic rays and the solar cosmic rays in the test quality, and the second type of noise is mainly noise caused by input voltage disturbance, charge quantity disturbance and the like of a peripheral displacement sensor of the test quality. The research aims at the first kind of noise, and the research on testing quality charging is always a hot topic. With the improvement of the simulation method, the continuous improvement of the accuracy of cosmic ray measurement and the improvement of the computer computing capability, the accuracy of the charging rate of the simulation result is continuously improved. In previous studies, the test mass charge rate calculation was done using most balloon flight tests and a small number of satellites to survey the cosmic ray spectra, and was done only for the solar activity extreme years and the solar activity extreme years, the galaxy line test mass charge rate. The simulation calculation result can only give an estimated value of the charging rate in a solar cycle interval, and a real-time result of the charging rate of the test quality cannot be obtained.
Disclosure of Invention
The invention aims to solve the technical problem of providing a real-time charging rate prediction method and a real-time charging rate prediction system for space gravitational wave detection test quality.
In order to achieve the purpose, the invention adopts the following technical scheme:
a real-time charging rate prediction method for space gravitational wave detection test quality comprises the following steps:
step S1, acquiring a cosmic ray actually-measured energy spectrum;
step S2, acquiring the charging capacity of the cosmic ray particle single energy point;
and step S3, obtaining real-time prediction test quality charging rate according to the cosmic ray actual measurement energy spectrum and the charging capacity of the cosmic ray particle single energy point.
Preferably, step S1 specifically includes: according to energy and differential flux data given by a radiation particle detector, performing energy spectrum fitting in an energy range of interest for gravitational wave detection and charging, namely 100MeV/n-100GeV/n, and obtaining the measured cosmic ray energy spectrum; wherein the radiation particle detector is used for providing radiation particle protons causing the test mass to be charged, 3 He nuclear and 4 spectrum and flux of He helium nuclei.
Preferably, in step S2, the cosmic ray particles include: proton, 3 he and 4 he, the proton described, 3 He nuclear and 4 the monoenergetic point of the He helium nucleus contains: 100MeV/n, 125MeV/n, 150MeV/n, 175MeV/n, 200MeV/n, 225MeV/n, 250MeV/n, 275MeV/n, 300MeV/n, 325MeV/n, 350MeV/n, 375MeV/n, 400MeV/n, 425MeV/n, 450MeV/n, 475MeV/n, 500MeV/n, 525MeV/n, 550MeV/n, 575MeV/n, 600MeV/n, 625MeV/n, 650MeV/n, 675MeV/n, 700MeV/n, 725MeV/n, 750MeV/n, 775MeV/n, 800MeV/n, 825MeV/n, 850MeV/n, 875MeV/n, 900MeV/n, 925MeV/n, 950MeV/n, 975 Men, 1000MeV/n, 1500MeV/n, 2000MeV/n, 2500MeV/n, 3000MeV/n, 3500MeV/n, 4000MeV/n, 4500MeV/n, 5000MeV/n, 5500MeV/n, 6000MeV/n, 6500MeV/n, 7000MeV/n, 7500MeV/n, 8000MeV/n, 8500MeV/n, 9000MeV/n, 9500MeV/n, 10000MeV/n, 20000MeV/n, 30000MeV/n, 40000MeV/n, 50000MeV/n, 60000MeV/n, 70000MeV/n, 80000MeV/n, 90000MeV/n, 100000 MeV/n.
Preferably, step S3 is specifically:
charging capability C of cosmic ray particle monoenergetic point at step S2 c Comprises the following steps:
C c ＝N n /N s ，
wherein, N s Total number of particles, N, simulated for each monoenergetic point n Is single energyPoint simulation calculation is carried out to obtain the net charging number of the test quality;
single point charging rate C r Comprises the following steps:
C r ＝C c ×πR 2 ·F s ，
wherein R sets the monoenergetic isotropic spherical source radius for Geant4, F s Calculating the fluence at different single energies 100-125MeV/n, 125-150MeV/n, 150-175MeV/n, 175-200MeV/n, 200-225MeV/n, … …, 60-70GeV/n, 70-80GeV/n, 80-90GeV/n, 90-100GeV/n through the real-time energy spectrum expression fitted in the step S1;
for all single energy charging rates C r Summing, then carrying out omnidirectional integration, and finally obtaining a real-time prediction test quality charging rate C:
C＝∫(∑C r )dΩ。
the invention also provides a real-time charging rate prediction system for the detection and test quality of the space gravitational wave, which comprises the following steps:
the first calculating device is used for calculating a cosmic ray actually-measured energy spectrum;
the second computing device is used for computing the charging capacity of the cosmic ray particle single energy point;
and the prediction device is used for obtaining the real-time prediction test quality charging rate according to the charge capacity of the single energy point of the cosmic ray actual measurement energy spectrum and the cosmic ray particles.
Preferably, the first computing device performs energy spectrum fitting between an energy range of interest for gravitational wave detection and charging, namely 100MeV/n-100GeV/n, according to energy and differential flux data given by the radiation particle detector, so as to obtain the measured energy spectrum of the cosmic ray; wherein the radiation particle detector is used for providing radiation particle protons causing the test mass to be charged, 3 He nuclear and 4 spectrum and flux of He helium nuclei.
Preferably, the cosmic ray particles include: proton, 3 he and 4 he, the proton described, 3 He nuclear and 4 the monoenergetic point of the He helium nucleus contains: 100MeV/n, 125MeV/n, 150MeV/n, 175MeV/n, 200MeV/n, 225MeV/n, 250MeV/n, 275MeV/n, 300MeV/n, 325MeV/n, 35 MeV/n0MeV/n、375MeV/n、400MeV/n、425MeV/n、450MeV/n、475MeV/n、500MeV/n、525MeV/n、550MeV/n、575MeV/n、600MeV/n、625MeV/n、650MeV/n、675MeV/n、700MeV/n、725MeV/n、750MeV/n、775MeV/n、800MeV/n、825MeV/n、850MeV/n、875MeV/n、900MeV/n、925MeV/n、950MeV/n、975MeV/n、1000MeV/n、1500MeV/n、2000MeV/n、2500MeV/n、3000MeV/n、3500MeV/n、4000MeV/n、4500MeV/n、5000MeV/n、5500MeV/n、6000MeV/n、6500MeV/n、7000MeV/n、7500MeV/n、8000MeV/n、8500MeV/n、9000MeV/n、9500MeV/n、10000MeV/n、20000MeV/n、30000MeV/n、40000MeV/n、50000MeV/n、60000MeV/n、70000MeV/n、80000MeV/n、90000MeV/n、100000MeV/n。
Preferably, the prediction means obtains the real-time prediction test mass charge rate by the following calculation process:
charging capability C provided with single energy point of cosmic ray particles c Comprises the following steps:
C c ＝N n /N s ，
wherein N is s Total number of particles, N, simulated for each monoenergetic point n Calculating the net charge number of the tested quality for the single energy point simulation;
setting a single energy point charging rate C r Comprises the following steps:
C r ＝C c ×πR 2 ·F s ，
wherein R sets the monoenergetic isotropic spherical source radius for Geant4, F s Calculating the integrated flux of different single energy levels of 100-125MeV/n, 125-150MeV/n, 150-175MeV/n, 175-200MeV/n, 200-225MeV/n, … …, 60-70GeV/n, 70-80GeV/n, 80-90GeV/n and 90-100GeV/n through a real-time energy spectrum expression;
for all single energy charging rates C r Summing, then carrying out omnidirectional integration, and finally obtaining a real-time prediction test quality charging rate C:
C＝∫(∑C r )dΩ。
according to the method, the Monte-card method Geant4 is used for simulating and calculating the single-energy charging capability of the cosmic ray particles, and the real-time charging rate of the test quality is finally obtained by fitting a cosmic ray power law spectrum with actually measured data of the spaceborne particle detector.
Drawings
FIG. 1 is a flow chart of a real-time state of charge prediction method for a space gravitational wave detection test quality;
FIG. 2 is a schematic diagram of differential flux of elements No. 1-8 of the solar activity minimum annual Galaxy cosmic ray;
FIG. 3 is a simplified geometric model diagram of a space gravitational wave detection spacecraft.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations.
Example 1:
as shown in fig. 1, the method for predicting the real-time charging rate of the space gravitational wave detection test quality of the present invention includes the following steps:
step S1, acquiring cosmic ray actual measurement energy spectrum
The LISA plan in the united states and europe and the tai chi plan in china for space gravitational wave exploration are at 1AU, and the cosmic ray energy spectrum coincides with the earth orbit. Near the earth orbit, cosmic ray particles are 1000m -2 ˙s -1 Bombards the top of the atmosphere. They are electron-stripped nuclear structures consisting of protons (90%), helium nuclei (8%), other heavy nuclei (1%) nuclear electrons (1%). In the scientific phase of the space gravitational wave detection task, two types of particles dominate the charging rate of the test quality: 1. long-term background flux consisting of the Galaxy Cosmic Ray (GCR) protons and light nuclei, 2. Solar Energetic Particles (SEP) occasionally accelerated by certain types of solar event shocks. For the long-standing galaxy cosmic ray, the differential flux of elements # 1-8 of the sun's activity was shown in figure 2. As the flux of the particles with the maximum atomic number of the particles is reduced, the flux of the protons and the helium nuclei can be obviously foundThe quantities are much larger than the flux of the other heavy nuclei, so only the proton and helium nuclei charge rate contributions are considered in the charge rate calculations. After the silver-river cosmic ray enters the solar layer, the energy spectrum flux of the silver-river cosmic ray is influenced by solar activity, and the flux of low-energy part particles in the silver-river cosmic ray is weakened. In long-term solar activity statistics, the modulation effect of solar activity on the cosmic rays of the silver river shows obvious periodicity, and the periodicity is about 11 years. When the intensity of solar activity is high for a year, the flux of the cosmic rays of the silver river is relatively reduced.
Space detection Galaxy cosmic ray energy spectrum generally only has helium nuclei and cannot effectively distinguish 3 He and 4 and (e) a He component. Therefore, accurate and careful splitting of the helium nuclear energy spectrum of the cosmic ray of the silver river is required, and the BESS balloon test pair 3 He/ 4 He ratio X was measured and tables 1 and 2 are the different energy cutoff measurements of ratio X for very small and very large solar activity years.
TABLE 1 proportion of solar Activity least-year BESS balloon test X (m)
TABLE 2 proportion X (M) of the sun's activity for the very year BESS balloon test
According to the following flux of He 3 He and 4 flux relationship for He:
F( 3 He)＝X/(1+X)F(He), (1)
F( 4 He)＝1/(1+X)F(He), (2)
the values of the factor X are given in tables 1 and 2, F is the differential flux of the particles in m -2 ·s -1 ·Sr -1 ·(GeV/n) -1 . According to the flux calculation formulas (1) and (2), the flux of He obtained by space actual measurement is combined, and real-time performance under different solar activities is given 3 He and 4 flux of He.
The space gravitational wave detection spacecraft system includes radiation particle detectors that will provide an energy spectrum and flux of primary radiation particle protons and helium nuclei that result in charging of the test mass. The real-time energy spectrum is input in a sub-channel mode, and energy spectrum fitting is carried out in an energy range of interest for gravitational wave detection and charging, namely 100MeV/n-100GeV/n according to energy and differential flux data given by a radiation particle detector. The fitting formula is in the form of a power law spectrum of the cosmic ray of the Galaxy:
F(E)＝A(E+B) -α E β , (3)
wherein the unit of F is m -2 ·s -1 ·Sr -1 ·(GeV/n) -1 The unit of E is (GeV/n) -1 . Parameters A, B, alpha and beta of different proton and helium nuclear energy spectrums are obtained by fitting in formula 3, and are given according to formulas 1 and 2 3 He and 4 differential flux of He.
Step S2 simulation of single-energy charging capability Geant4
1. Geometric model
The geometric model of the space gravitational wave detection spacecraft adopts an equivalent simplified model, as shown in figure 3. The equivalent simplified geometric model includes:
<1. test quality (TM) is geometric, 4.6cm cube; material, 70% gold and 30% platinum; density of 19.837g/cm 3 。
<2. Molybdenum layer (Mo) which is a cubic layer with geometric inner edge length of 7.4cm and outer edge length of 8.6 cm; material, 100% molybdenum; density of 10.28g/cm 3 (ii) a Thickness, 6 mm.
<3. Titanium layer (Ti) is a spherical layer with geometric inner radius of 7.5cm and outer radius of 8 cm; material, 100% titanium; density, 4.54g/cm 3 (ii) a Thickness, 5 mm.
<4. Carbon layer (C): a spherical layer with the inner radius of 8cm and the outer radius of 10cm in geometry; material, 100% carbon; density, 2.10g/cm 3 (ii) a Thickness, 20 mm.
<The areas between TM and Mo and between Mo and Ti are all vacuum with a density of 10 -25 g/cm 3 。
2. Single energy setting
Spacecraft internal junction detection due to space gravitational waveThe shielding effect of the structure is that only particles with energy larger than 100MeV/n can be incident to the test quality position. The energy is set to be 100MeV/n-100TeV/n in the embodiment of the invention. Proton, 3 he and 4 he monoenergetic point: 100MeV/n, 125MeV/n, 150MeV/n, 175MeV/n, 200MeV/n, 225MeV/n, 250MeV/n, 275MeV/n, 300MeV/n, 325MeV/n, 350MeV/n, 375MeV/n, 400MeV/n, 425MeV/n, 450MeV/n, 475MeV/n, 500MeV/n, 525MeV/n, 550MeV/n, 575MeV/n, 600MeV/n, 625MeV/n, 650MeV/n 675MeV/n, 700MeV/n, 725MeV/n, 750MeV/n, 775MeV/n, 800MeV/n, 825MeV/n, 850MeV/n, 875MeV/n, 900MeV/n, 925MeV/n, 950MeV/n, 975MeV/n, 1000MeV/n, 1500MeV/n, 2000MeV/n, 2500MeV/n, 3000MeV/n, 3500MeV/n, 4000MeV/n, 4500MeV/n, 5000MeV/n, 5500MeV/n, 6000MeV/n, 6500MeV/n, 7000MeV/n, 7500MeV/n, 8000MeV/n, 8500MeV/n, 9000MeV/n, 9500MeV/n, 10000MeV/n, 20000MeV/n, 30000MeV/n, 40000MeV/n, 50000MeV/n, 60000MeV/n, 70000MeV/n, 80000MeV/n, 90000MeV/n, 100000 MeV/n. The galaxy line is an isotropic source, so the GPS setting with genat 4 for each monoenergetic point is an isotropic spherical source with a radius of 120mm, so that the particles are uniformly incident on the entire spacecraft model.
3. Physical process
Cosmic rays have high energy and hadron properties, require complex nuclear reactions for interaction with spacecraft, and the end products of these reactions are numerous, producing numerous secondary reactions. These particles need to be tracked to the lowest possible energy, especially those close to the test mass. For low energy electromagnetic processes, to avoid the problem of non-convergence due to too low energy, the e-, e + and gamma energy cut-off thresholds are set to 250 eV. The simulation requires many physical models in Geant4: including hadron processes, low-energy electromagnetic processes, photonuclear reactions, electrical nuclear processes and decay processes. The physical models correspond to GEANT 4G 4IonPhysics, G4EmstandardPhysics _ option4, G4HadronPhysics QGSP _ BIC, G4StoppingPhysics, G4HadronElastic Physics, and G4EmExtraPhysics processes, with energy spans of up to 10 orders of magnitude.
4. Charging instance tracking statistics
The Monte Carlo method is to use random numbers to make a large number of statistics to obtain the physical law. The same is true of GEANT4, whose smallest unit of operation is Step controlled by a random number. The particle source emits energetic particles which first interact with the spacecraft envelope shield to produce a number of secondary reactions and Step orders, the energy of the particles being high enough to be transmitted through the shield to be incident on the test mass. The number of particles of input and output Test Mass (TM) of the particles is judged by tracking physical volume information of PreStepPoint and PostStepPoint of the Step, and the Step also contains the information of the charged amount of the particles. Resulting in charge deposition of the particles in the test mass. The charging energy of the particles at the single energy is obtained by dividing the total charging number of the test mass by the number of particles emitted by the particle source set by GEANT 4.
Step S3, total state of charge prediction
First, the charging capacity C of each particle at each energy point is calculated by using the energy particles in step S2 c The unit (+ e/primary). Secondly, calculating the integrated flux F of different single energies 100-125MeV/n, 125-150MeV/n, 150-175MeV/n, 175-200MeV/n, 200-225MeV/n, … …, 60-70GeV/n, 70-80GeV/n, 80-90GeV/n and 90-100GeV/n through the real-time energy spectrum expression fitted in the step S1 s Unit of (m) -2 ·s -1 ·Sr -1 ). Assuming that the total charging rate given by real-time prediction is C, in (+ e/s); single energy point charging rate of C r The unit (+ e/s); the total particle number of each monoenergetic point simulation in step S2 is N s Unit(s); the net charging number of the tested quality obtained by the simulation calculation of the single energy point is N n Unit(s); geant4 sets the monoenergetic isotropic spherical source radius to R, in (m).
C c ＝N n /N s ， (4)
C r ＝N n /(N s /πR 2 ·F s )， (5)
From (4) and (5) can get:
C r ＝C c ×πR 2 ·F s ， (6)
for all single energy charging rates C r Summing, thenAnd performing line omnidirectional integration to finally obtain the real-time prediction test quality charging rate:
C＝∫(∑C r )dΩ. (7)
example 2:
the invention also provides a system for predicting the real-time charging rate of the space gravitational wave detection test quality, which realizes the method for predicting the real-time charging rate of the space gravitational wave detection test quality, and comprises the following steps:
the first calculating device is used for calculating the cosmic ray actually-measured energy spectrum;
the second computing device is used for computing the charging capacity of the cosmic ray particle single energy point;
and the predicting device is used for obtaining the real-time prediction test quality charging rate according to the cosmic ray actual measurement energy spectrum and the charging capacity of the cosmic ray particle single energy point.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.
Claims (8)
1. A real-time charging rate prediction method for space gravitational wave detection test quality is characterized by comprising the following steps:
step S1, acquiring a cosmic ray actually-measured energy spectrum;
step S2, acquiring the charging capacity of the cosmic ray particle single energy point;
and step S3, obtaining real-time prediction test quality charging rate according to the cosmic ray actual measurement energy spectrum and the charging capacity of the cosmic ray particle single energy point.
2. The method of claim 1, wherein the steps of real-time state of charge prediction for space gravitational wave detection test qualityS1 specifically includes: according to energy and differential flux data given by a radiation particle detector, performing energy spectrum fitting in an energy range of interest for gravitational wave detection and charging of 100MeV/n-100GeV/n to obtain the actually measured spectrum of the cosmic ray; wherein the radiation particle detector is used for providing radiation particle protons for causing the test mass to be charged, 3 He nuclear and 4 spectrum and flux of He helium nuclei.
3. The method according to claim 2, wherein in step S2, the cosmic ray particles include: proton, 3 he and 4 he, said proton, 3 He nuclear and 4 the monoenergetic point of the He helium nucleus contains: 100MeV/n, 125MeV/n, 150MeV/n, 175MeV/n, 200MeV/n, 225MeV/n, 250MeV/n, 275MeV/n, 300MeV/n, 325MeV/n, 350MeV/n, 375MeV/n, 400MeV/n, 425MeV/n, 450MeV/n, 475MeV/n, 500MeV/n, 525MeV/n, 550MeV/n, 575MeV/n, 600MeV/n, 625MeV/n, 650MeV/n 675MeV/n, 700MeV/n, 725MeV/n, 750MeV/n, 775MeV/n, 800MeV/n, 825MeV/n, 850MeV/n, 875MeV/n, 900MeV/n, 925MeV/n, 950MeV/n, 975MeV/n, 1000MeV/n, 1500MeV/n, 2000MeV/n, 2500MeV/n, 3000MeV/n, 3500MeV/n, 4000MeV/n, 4500MeV/n, 5000MeV/n, 5500MeV/n, 6000MeV/n, 6500MeV/n, 7000MeV/n, 7500MeV/n, 8000MeV/n, 8500MeV/n, 9000MeV/n, 9500MeV/n, 10000MeV/n, 20000MeV/n, 30000MeV/n, 40000MeV/n, 50000MeV/n, 60000MeV/n, 70000MeV/n, 80000MeV/n, 90000MeV/n, 100000 MeV/n.
4. The method for predicting the real-time charging rate of the spatial gravitational wave detection test quality according to claim 3, wherein step S3 specifically comprises:
charging capability C of cosmic ray particle monoenergetic point at step S2 c Comprises the following steps:
C c ＝N n /N s ，
wherein N is s Total number of particles, N, simulated for each monoenergetic point n The net charging number of the tested quality is obtained through simulation calculation of the single energy point;
single point charge rate C r Comprises the following steps:
C r ＝C c ×πR 2 ·F s ，
wherein R sets the monoenergetic isotropic spherical source radius for Geant4, F s Calculating the fluence at different single energies 100-125MeV/n, 125-150MeV/n, 150-175MeV/n, 175-200MeV/n, 200-225MeV/n, … …, 60-70GeV/n, 70-80GeV/n, 80-90GeV/n, 90-100GeV/n through the real-time energy spectrum expression fitted in the step S1;
for all single energy charging rates C r Summing, then performing omnidirectional integration, and finally obtaining the real-time prediction test quality charging rate C:
C＝∫(∑C r )dΩ。
5. a real-time state of charge prediction system for spatial gravitational wave detection test quality, comprising:
the first calculating device is used for calculating the cosmic ray actually-measured energy spectrum;
the second computing device is used for computing the charging capacity of the cosmic ray particle single energy point;
and the predicting device is used for obtaining the real-time prediction test quality charging rate according to the cosmic ray actual measurement energy spectrum and the charging capacity of the cosmic ray particle single energy point.
6. The real-time state-of-charge prediction system for the detection test quality of spatial gravitational waves according to claim 5, characterized in that said first computing means performs a spectral fit between the gravitational wave detection charging interested energy range of 100MeV/n-100GeV/n based on the energy and differential flux data from the radiation particle detector to obtain said cosmic ray measured energy spectrum; wherein the radiation particle detector is used for providing radiation particle protons causing the test mass to be charged, 3 He nuclear and 4 spectrum and flux of He helium nuclei.
7. The real-time state of charge prediction system for spatial gravitational wave detection test quality according to claim 6,wherein the cosmic ray particles include: proton, 3 he and 4 he, the proton described, 3 He nuclear and 4 the monoenergetic point of the He helium nucleus contains: 100MeV/n, 125MeV/n, 150MeV/n, 175MeV/n, 200MeV/n, 225MeV/n, 250MeV/n, 275MeV/n, 300MeV/n, 325MeV/n, 350MeV/n, 375MeV/n, 400MeV/n, 425MeV/n, 450MeV/n, 475MeV/n, 500MeV/n, 525MeV/n, 550MeV/n, 575MeV/n, 600MeV/n, 625MeV/n, 650MeV/n, 675MeV/n, 700MeV/n, 725MeV/n, 750MeV/n, 775MeV/n, 800MeV/n, 825MeV/n, 850MeV/n, 875MeV/n, 900MeV/n, 925MeV/n, 950MeV/n, 975 Men, 1000MeV/n, 1500MeV/n, 2000MeV/n, 2500MeV/n, 3000MeV/n, 3500MeV/n, 4000MeV/n, 4500MeV/n, 5000MeV/n, 5500MeV/n, 6000MeV/n, 6500MeV/n, 7000MeV/n, 7500MeV/n, 8000MeV/n, 8500MeV/n, 9000MeV/n, 9500MeV/n, 10000MeV/n, 20000MeV/n, 30000MeV/n, 40000MeV/n, 50000MeV/n, 60000MeV/n, 70000MeV/n, 80000MeV/n, 90000MeV/n, 100000 MeV/n.
8. The system according to claim 7, wherein the prediction means obtains the real-time prediction test quality state of charge by the following calculation procedure:
charging capability C provided with single energy point of cosmic ray particles c Comprises the following steps:
C c ＝N n /N s ，
wherein N is s Total number of particles, N, simulated for each monoenergetic point n The net charging number of the tested quality is obtained through simulation calculation of the single energy point;
setting a single energy point charging rate C r Comprises the following steps:
C r ＝C c ×πR 2 ·F s ，
wherein R sets the monoenergetic isotropic spherical source radius for Geant4, F s Calculating the integrated flux at different single energy faults of 100-125MeV/n, 125-150MeV/n, 150-175MeV/n, 175-200MeV/n, 200-225MeV/n, … …, 60-70GeV/n, 70-80GeV/n, 80-90GeV/n and 90-100GeV/n by a real-time energy spectrum expression;
to all single energy charging rates C r Summing, then carrying out omnidirectional integration, and finally obtaining a real-time prediction test quality charging rate C:
C＝∫(∑C r )dΩ。
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210792195.2A CN115097539A (en) | 2022-07-07 | 2022-07-07 | Real-time charging rate prediction method and system for space gravitational wave detection test quality |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210792195.2A CN115097539A (en) | 2022-07-07 | 2022-07-07 | Real-time charging rate prediction method and system for space gravitational wave detection test quality |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115097539A true CN115097539A (en) | 2022-09-23 |
Family
ID=83297561
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210792195.2A Pending CN115097539A (en) | 2022-07-07 | 2022-07-07 | Real-time charging rate prediction method and system for space gravitational wave detection test quality |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN115097539A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115856986A (en) * | 2023-03-03 | 2023-03-28 | 数字太空(北京)智能技术研究院有限公司 | Method and device for calculating particle radiation environment of earth orbit spacecraft |
-
2022
- 2022-07-07 CN CN202210792195.2A patent/CN115097539A/en active Pending
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115856986A (en) * | 2023-03-03 | 2023-03-28 | 数字太空(北京)智能技术研究院有限公司 | Method and device for calculating particle radiation environment of earth orbit spacecraft |
| CN115856986B (en) * | 2023-03-03 | 2023-04-25 | 数字太空(北京)智能技术研究院有限公司 | Method and equipment for calculating particle radiation environment of earth orbit spacecraft |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Cazzaniga et al. | Progress of the scientific commissioning of a fast neutron beamline for chip irradiation | |
| Cazzaniga et al. | Single crystal diamond detector measurements of deuterium-deuterium and deuterium-tritium neutrons in Joint European Torus fusion plasmas | |
| Ligenfelter et al. | High‐energy solar neutrons: 1. Production in flares | |
| Ambrosi et al. | Beam test calibrations of the HEPD detector on board the China Seismo-Electromagnetic Satellite | |
| Sato et al. | Air shower simulation for WASAVIES: Warning system for aviation exposure to solar energetic particles | |
| Kopeikin et al. | Measurement of the Ratio of Cumulative Spectra of Beta Particles from U and Pu Fission Products for Solving Problems of Reactor-Antineutrino Physics | |
| Wei et al. | The quenching effect of BGO crystals on relativistic heavy ions in the DAMPE experiment | |
| CN115097539A (en) | Real-time charging rate prediction method and system for space gravitational wave detection test quality | |
| Osipenko et al. | Neutron spectrometer for fast nuclear reactors | |
| Kiptily | On the core deuterium–tritium fuel ratio and temperature measurements in DEMO | |
| Priyada et al. | Use of prompt gamma emissions from polyethylene to estimate neutron ambient dose equivalent | |
| Moinester | Pion polarizability 2022 status report | |
| Xu et al. | Direct Measurement of the Cosmic-Ray Iron Spectrum with the Dark Matter Particle Explorer | |
| Rodriguez et al. | Delayed gamma-ray spectroscopy inverse Monte Carlo analysis method for nuclear safeguards nondestructive assay applications | |
| Hultqvist et al. | IceCube: physics, status, and future | |
| Mishev | Analysis of lateral distribution of atmospheric cherenkov light at high mountain altitude towards event reconstruction | |
| Ling et al. | Spectra and angular distributions of atmospheric gamma rays from 0.3 to 10 MeV at λ= 40° | |
| Lucchetta | Design and optimization around 1 MeV of a Tracker for a CubeSat Mission | |
| Newman | A Study of the Dynamics of Diffractive Photoproduction at HERA | |
| Konak | Measurement of the proton flux and variability in low earth orbit with the alpha magnetic spectrometer | |
| He et al. | Photonuclear reaction study with the (p, γ) resonance γ-source | |
| Cazzaniga | Fast neutron measurements for fusion and spallation sources applications | |
| 井上梓 | Study of the 7Be (d, p) 8Be Reaction and its | |
| Brau | Simulation of hadronic showers and calorimeters | |
| Kopeikin et al. | Measurement of the Ratio of Cumulative Spectra of Beta Particles from [Formula omitted] U and [Formula omitted] Pu Fission Products for Solving Problems of Reactor-Antineutrino Physics. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |