Phase Closure Nulling: results from the 2009 campaign
Gilles Duvert; Fabien Malbet; Alain Chelli; Rafael Millan-Gabet; John D. Monnier; Gail H. Schaefer · 2010 · arXiv
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
We present here a new observational technique, Phase Closure Nulling (PCN), which has the potential to obtain very high contrast detection and spectroscopy of faint companions to bright stars. PCN consists in measuring closure phases of fully resolved objects with a baseline triplet where one of the baselines crosses a null of the object visibility function. For scenes dominated by the presence of a stellar disk, the correlated flux of the star around nulls is essentially canceled out, and in these regions the signature of fainter, unresolved, scene object(s) dominates the imaginary part of th
Excerpt shown for reference under fair use — read the full paper at the publisher.
About to run something similar?
Run an AI Precheck on your own design to catch failure modes like this one before you spend the time. Your first desk check is free.
Related failures
Resonant amplitude distribution of the Hilda asteroids and the free-floating planet flyby scenario
Negative / Null Result Report3D Simulations of Plasma Filaments in the Scrape Off Layer: A Comparison with Models of Reduced Dimensionality
Negative / Null Result ReportHerd Behaviour in Public Goods Games
Negative / Null Result ReportAccurate coarse-graining of small organic molecules in melts and thin films using density-dependent potentials
Negative / Null Result ReportSemi-Analytical Models for Lensing by Dark Halos: I. Splitting Angles
Negative / Null Result ReportSimulated Annealing with Tsallis Weights - A Numerical Comparison
WASTE indexes this work — it does not host or republish it. Failure-type classification is automated and approximate.
Metadata source: arXiv