Average absorbed power and conditional event rate
The first follows from near-monochromatic average work after subtracting independent noise; the second additionally requires fixed absorbed energy per event and negligible leakage, dead time and saturation.
Based on the final manuscript · Chapter 5
The first follows from near-monochromatic average work after subtracting independent noise; the second additionally requires fixed absorbed energy per event and negligible leakage, dead time and saturation.
Chapter reference: Ch. 5 (5.3.19) and following text · ASD-BOOK-ddbade997b45
Source and ID
ASD-WEB-QM-026 is the stable website equation ID. It retains existing links and does not replace the manuscript reference. Use the copy button to obtain LaTeX.
Return to premises and derivationAdopted source, conditions and previous versions
Ch. 5 (5.3.19) and following text
The first follows from near-monochromatic average work after subtracting independent noise; the second additionally requires fixed absorbed energy per event and negligible leakage, dead time and saturation.
Conditions retained in this adoption
- Selected channel and stated initial/boundary conditions; action/energy matching retained
- Continuum, slow-envelope and detector approximations kept at their respective levels
Specific unresolved source issues
- QC-DETECTION-002: normal-velocity weighting in the Born reduction
Source locators: p1954 · p1959 · p1960 · p1962 · p2305
Manuscript SHA-256: ddbade997b45913248e588953b1d27ccb9c7c206c3c8d992d3aef2364a64836e
Download source identity manifest
The manifest identifies the source; it is not the complete manuscript. Adopting this source does not upgrade evidence or grant a new licence.
Previous source, retained as history
QM-0accdcbe7725 · Ch. 5 (5.3.19) and following text
Dependencies
algebraLocal response of a driven damped detectorASD-WEB-QM-025Uses of this equation
Subsequent equationConditional position distribution for a detection protocolASD-WEB-QM-027DocumentOP-QM-004 · Dynamical Origin of Born StatisticsDocumentHow Can Continuous Fields Yield Discrete Detection Statistics?