Adaptive vertex fitting

By Wolfgang Waltenberger, Rudolf Frühwirth, P. Vanlaer. 2007

279 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Statistics and Probability, Signal Processing

View Paper: https://www.semanticscholar.org/paper/5edf720042740113d0401437f3eacfec741fa4c0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Cms Collaboration
2. Wolfgang Waltenberger
3. Matthew Fisher
4. Simone Paoletti

In Statistics and Probability

1. Cms Collaboration
2. Wolfgang Waltenberger
3. Harrison B. Prosper
4. J. Tucker
5. Robert D. Cousins
6. Matthew Fisher
7. Y. Liu
8. Pushpalatha C. Bhat

In Signal Processing

1. Cms Collaboration
2. Wolfgang Waltenberger
3. Matthew Fisher
4. M. Raidal
5. Y. Liu
6. K. Kannike

Citations in the corpus

• Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV (2017, methodology): “The position of each vertex is estimated with an adaptive vertex fit [4].”
• Identification of b-quark jets with the CMS experiment (2012, methodology): “An adaptive vertex fit [31] is then used to estimate the vertex position using a sample of tracks compatible with originating from the interaction region.”
• CMS tracking performance results from early LHC operation (2010, background): “The clusters are fit with an adaptive vertex fit [31], where tracks in the vertex are assigned a weight between 0 and 1 based on their proximity to the common vertex.”
• Description and performance of track and primary-vertex reconstruction with the CMS tracker (2014, methodology): “After identifying candidate vertices based on the DA clustering in z, those candidates containing at least two tracks are then fitted using an adaptive vertex fitter [53] to compute the best estimate of vertex parameters, including its x, y and z position and covariance matrix, as well as the indica”
• RAVE—A Detector-Independent Toolkit to Reconstruct Vertices (2011, methodology): “been formulated such as the adaptive fitting technique [18].”
• Description and performance of track and primary-vertex reconstruction with the CMS tracker: JINST 9 (2014) 10, P10009 (2014, methodology): “After identifying candidate vertices based on the DA clustering in z, those candidates containing at least two tracks are then fitted using an adaptive vertex fitter [53] to compute the best estimate of vertex parameters, including its x, y and z position and covariance matrix, as well as the indica”