Blind Analysis in Nuclear and Particle Physics
By J. Klein, A. Roodman. 2005
139 citations recorded by the source corpus.
Subfields: Nuclear and High Energy Physics
View Paper: https://www.semanticscholar.org/paper/afa36024f3d0925e70ae31ec04dbea16e6b608e5
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In Nuclear and High Energy Physics
Citations in the corpus
- Time delay cosmography (2016, background): “5 Such attempts to avoid “unconscious experimenter bias” introduced by stopping systematics analysis when the “right answer” is obtained have long been advocated in particle physics (Klein and Roodman 2005), and seem likely to become the standard in cosmology as well (e.”
- Cosmological Parameters from Observations of Galaxy Clusters (2011, background): “…we are seeking to measure a quantity for which prior expectations exist, e.g. w or the growth index, γ. Evidence for experimenter’s bias can be found readily in the literature, e.g. in historical measurements of the speed of light or the neutron lifetime (see Klein & Roodman 2005 for a review).”
- The DES Science Verification weak lensing shear catalogues (2015, result): “We did this to prevent the experimenter bias effect, wherein researchers work harder on finding bugs, tuning methodology, etc. when results are inconsistent with a previous experiment, or otherwise do not match expectations, than when they do match (cf. Klein & Roodman 2005).”
- Testing ΛCDM at the lowest redshifts with SN Ia and galaxy velocities (2016, methodology): “To circumvent this problem, one should introduce blinding in these analyses to avoid a subjective bias, much like the procedures routinely applied in particle physics experiments [76].”
- “Positive” Results Increase Down the Hierarchy of the Sciences (2010, background): “The biasing effect of researchers’ expectations is increasingly recognized in all disciplines including physics [58,59], but has been most extensively documented in the behavioural sciences [60,61].”
- Weighing the Giants - I. Weak-lensing masses for 51 massive galaxy clusters: project overview, data analysis methods and cluster images (2012, background): “These biases are well-known in the wider physics community, and can be avoided by implementing “blind analyses” (Klein & Roodman 2005).”