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Source: The Open Library
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1Study of proton and neutron activation of metal samples in low earth orbit
By C. E. Laird
“Study of proton and neutron activation of metal samples in low earth orbit” Metadata:
- Title: ➤ Study of proton and neutron activation of metal samples in low earth orbit
- Author: C. E. Laird
- Language: English
- Publisher: ➤ Eastern Kentucky University - National Aeronautics and Space Administration - National Technical Information Service, distributor
- Publish Date: 1985
- Publish Location: ➤ [Washington, D.C - Springfield, Va - Richmond, Ky
“Study of proton and neutron activation of metal samples in low earth orbit” Subjects and Themes:
- Subjects: ➤ Gamma rays - Neutron flux density - Spaceborne experiments - Metals - Proton irradiation - Nuclear interactions - Atomic excitations - Activation analysis - Scattering cross sections - Neutron irradiation - Half life - Q values - Proton flux density - Low earth orbits
Edition Identifiers:
- The Open Library ID: OL15415815M
Access and General Info:
- First Year Published: 1985
- Is Full Text Available: No
- Is The Book Public: No
- Access Status: No_ebook
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Wiki
Source: Wikipedia
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Q value
Q value, Q factor, and Q score may refer to: Q factor, a measurement of a resonant system's relative bandwidth Radiation weighting factors used in ionizing
Q-value (statistics)
the p- and q-values, it can be seen that the q-value is the minimum posterior probability that H 0 {\displaystyle H_{0}} is true. The q-value can be interpreted
Q value (nuclear science)
of the reactant and product masses. Q values affect reaction rates. In general, the larger the positive Q value for the reaction, the faster the reaction
Q–Q plot
quantile function), the Q–Q plot draws the q-th quantile of F against the q-th quantile of G for a range of values of q. Thus, the Q–Q plot is a parametric
Q factor
at low Q values is somewhat higher than the oscillation frequency as measured by zero crossings. Equivalently (for large values of Q), the Q factor is
Q-learning
Q-learning is a reinforcement learning algorithm that trains an agent to assign values to its possible actions based on its current state, without requiring
Global language system
peripheral language has a low Q-value and the Q-values increase along the sociology classification of languages, with the Q-value of the hypercentral language
State–action–reward–state–action
While SARSA learns the Q values associated with taking the policy it follows itself, Watkin's Q-learning learns the Q values associated with taking the
Tobin's q
corresponding book values, as the replacement values of a company's assets is hard to estimate: Tobin's q = (Equity Market Value + Liabilities Market Value) (Equity
Q
commonly spelled cue, but also kew, kue, and que. The Semitic sound value of Qôp was /q/ (voiceless uvular stop), and the form of the letter could have been