The photon clean method: an event-based approach to analyzing X-ray spectra
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Photon Clean Method (PCM) is an inverse Monte-Carlo method of spectral fitting that differs from traditional fitting routines found in spectral modeling packages by fitting event lists as opposed to binned spectra. The model spectrum is represented in event form as well. Thus, using this method it is possible to fit data of higher dimensionality than can be fit using binned spectra and standard routines based on Chi-Square statistics, such as event-mode data from electron beam ion traps or satellite observations that are tagged, for example, as a function of time, position, or energy. To demonstrate some of the power of the PCM and aid in its development, we have implemented a simplified one-dimensional version of the PCM algorithm (PCM1D). Using our implementation, which is a command-line program intended for public release, we have performed tests on simulated and observed Chandra ACIS CCD data, and present two examples, one on Cassiopeia A and another on a simulated multitemperature plasma in collisional ionization equilibrium. PACS No.: 52.65.Pp
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it