Bibliographic record
Abstract
DESY) SUSY with Compressed Spectrum LCWS15 8 / 24 The ILC The ILC is not LHC OK, if the new particles are invisible for LHC, why can ILC see them ?Lepton-collider: Initial state is known.Production is EW Small theoretical uncertainties.No "underlaying event".Low cross-sections wrt.LHC, also for background. Trigger-less operation. for detectors: Low background detectors can be:Thin : few % X 0 in front of calorimeters Very close to IP: first layer of VXD at 1.5 cm.Close to 4: holes for beam-pipe only few cm = 0.2 msr un-covered = Area of Suisse Romande (or Schleswig-Holstein, or Conneticutsorry, there's nothing that small in Canada) relative to earth.Importance of hermeticity for the searches: rejection !Mikael Berggren (DESY) SUSY with Compressed Spectrum LCWS15 9 / 24 The ILC The ILC is not LHC OK, if the new particles are invisible for LHC, why can ILC see them ?Lepton-collider: Initial state is known.Production is EW Small theoretical uncertainties.No "underlaying event".Low cross-sections wrt.LHC, also for background. Trigger-less operation. for detectors: Low background detectors can be:Thin : few % X 0 in front of calorimeters Very close to IP: first layer of VXD at 1.5 cm.Close to 4: holes for beam-pipe only few cm = 0.2 msr un-covered = Area of Suisse Romande (or Schleswig-Holstein, or Conneticutsorry, there's nothing that small in Canada) relative to earth.Importance of hermeticity for the searches: rejection !Mikael Berggren (DESY) SUSY with Compressed Spectrum LCWS15 9 / 24Loop-hole free SUSY searchesAll is known for given masses, due to SUSY-principle: "sparticles couples as particles".This doesn't depend on the SUSY breaking mechanism !Obviously: There is one NLSP. Loop-hole free SUSY searchesAll is known for given masses, due to SUSY-principle: "sparticles couples as particles".This doesn't depend on the SUSY breaking mechanism !Obviously: There is one NLSP.So, at ILC : Model red independent exclusion/ discovery reach in M NLSP -M LSP plane.Repeat for all NLSP:s.Cover entire parameter-space in a hand-full of plots NLSP search "simplified models" @ LHC!
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".