AG
A.M. Gomez
24 records found
1
Motivation: Protein function prediction is a difficult bioinformatics problem. Many recent methods use deep neural networks to learn complex sequence representations and predict function from these. Deep supervised models require a lot of labeled training data which are not avail
...
Motivation: Protein function prediction is a difficult bioinformatics problem. Many recent methods use deep neural networks to learn complex sequence representations and predict function from these. Deep supervised models require a lot of labeled training data which are not available for this task. However, a very large amount of protein sequences without functional labels is available. Results: We applied an existing deep sequence model that had been pretrained in an unsupervised setting on the supervised task of protein molecular function prediction. We found that this complex feature representation is effective for this task, outperforming hand-crafted features such as one-hot encoding of amino acids, k-mer counts, secondary structure and backbone angles. Also, it partly negates the need for complex prediction models, as a two-layer perceptron was enough to achieve competitive performance in the third Critical Assessment of Functional Annotation benchmark. We also show that combining this sequence representation with protein 3D structure information does not lead to performance improvement, hinting that 3D structure is also potentially learned during the unsupervised pretraining.
@enCaptage postcombustion du co2par des contacteurs membranaires de fibres creuses
De l’échelle laboratoire à l’échelle pilote industriel
Membrane contactors have been proposed for decades as a way to achieve intensified mass transfer processes. Post-combustion CO2capture by absorption into a chemical solvent is one of the currently most intensively investigated topics in this area. Numerous studies have
...
Membrane contactors have been proposed for decades as a way to achieve intensified mass transfer processes. Post-combustion CO2capture by absorption into a chemical solvent is one of the currently most intensively investigated topics in this area. Numerous studies have already been reported, unfortunately almost systematically on small, laboratory scale, modules. Given the level of flue gas flow rates which have to be treated for carbon capture applications, a consistent scale-up methodology is obviously needed for a rigorous engineering design. In this study, the possibilities and limitations of scale-up strategies for membrane contactors have been explored and will be discussed. Experiments (CO2absorption from a gas mixture in a 30%wt MEA aqueous solution) have been performed both on mini-modules and at pilot-scale (10 m2 membrane contactor module) based on PTFE hollow fibers. The results have been modeled utilizing a resistance in series approach. The only adjustable parameter is in fitting the simulations to experimental data is the membrane mass transfer coefficient (km), which logically plays a key role. The difficulties and uncertainties associated with scaleup computations from lab scale to pilot-scale modules, with a particular emphasis on the km value, are presented and critically discussed.
@en
Journal article
(2010)
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Commissioning studies of the CMS hadron calorimeter have identified sporadic uncharacteristic noise and a small number of malfunctioning calorimeter channels. Algorithms have been developed to identify and address these problems in the data. The methods have been tested on cosmic
...
Commissioning studies of the CMS hadron calorimeter have identified sporadic uncharacteristic noise and a small number of malfunctioning calorimeter channels. Algorithms have been developed to identify and address these problems in the data. The methods have been tested on cosmic ray muon data, calorimeter noise data, and single beam data collected with CMS in 2008. The noise rejection algorithms can be applied to LHC collision data at the trigger level or in the offline analysis. The application of the algorithms at the trigger level is shown to remove 90% of noise events with fake missing transverse energy above 100 GeV, which is sufficient for the CMS physics trigger operation.
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E.A.
Laird
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E.A.
Laird
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A
Fedorov
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A
Fedorov
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A.K.
Hektor
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A.K.
Hektor
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M.T.
Mooney
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M.T.
Mooney
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J.M.M.
Werner
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J.M.M.
Werner
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Z.
XIE
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Z.
XIE
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X
Huang
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X
Huang
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A.J.M.
Lopez
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A.J.M.
Lopez
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N.I.
Ippolito
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N.I.
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M.
Jones
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M.
Jones
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C
Liu
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C
Liu
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H.W.
Yoo
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H.W.
Yoo
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Y.
ZHENG
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Y.
ZHENG
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L.D.
Gross
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L.D.
Gross
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P.
Jindal
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P.
Jindal
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F.
Geurts
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F.
Geurts
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J
Liu
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J
Liu
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L.
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L.
Sabbatini
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Y.S.
Chung
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Y.S.
Chung
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M.A.
Bhatti
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M.A.
Bhatti
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M.
Yan
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M.
Yan
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S.
Thomas
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S.
Thomas
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T.G.
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T.G.
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Z.
Yang
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Z.
Yang
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P.D.
van Hove
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P.D.
van Hove
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C.T.
Nguyen
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C.T.
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S.
Sengupta
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S.
Sengupta
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H.
Kim
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H.
Kim
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S
Lee
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S
Lee
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BE
Cox
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BE
Cox
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M.C.
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M.C.
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S.
Dutta
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S.
Dutta
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A.
Mohapatra
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A.
Mohapatra
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W.A.
Smith
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W.A.
Smith
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T.R.
Le Grand
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T.R.
Le Grand
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T.R.
Le Grand
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K.T.J.
Klein
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K.T.J.
Klein
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M.R.
Thomas
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M.R.
Thomas
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M.
Weber
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M.
Weber
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G.
Hilgers
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G.
Hilgers
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G.
Hilgers
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A.
Meyer
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A.
Meyer
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A.
Meyer
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S.A.
Schmitz
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S.A.
Schmitz
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S.A.
Schmitz
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M.
Hashemi
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M.
Hashemi
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M.C.W.
Davids
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M.C.W.
Davids
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M.C.W.
Davids
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M.M.
Duda
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M.M.
Duda
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M.M.
Duda
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A.
Meyer
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A.
Meyer
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R.
Schmidt
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R.
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C.C.
Wissing
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C.C.
Wissing
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C.
Sander
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C.
Sander
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J.
Bauer
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J.
Bauer
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P.I.
Blum
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P.I.
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W.
de Boer
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W.
de Boer
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M.D.
Frey
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M.D.
Frey
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X.J.A.
Janssen
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X.J.A.
Janssen
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M.F.
Heinrich
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M.F.
Heinrich
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P.L.A.
Sturm
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P.L.A.
Sturm
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P.L.A.
Sturm
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I.
PAPADOPOULOS
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I.
PAPADOPOULOS
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D.A.
Horváth
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D.A.
Horváth
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D.A.
Horváth
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N.G.
Toth
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N.G.
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S.
Bansal
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S.
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M.
Jindal
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M.
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M.
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M.
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M.
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M.
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A.
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A.
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J.
Maes
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J.
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A.
Singh
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A.
Singh
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J.
Singh
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J.
Singh
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S
Singh
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S
Singh
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S.
Ahuja
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S.
Ahuja
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S.
Arora
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S.
Arora
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S.
Bhattacharya
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S.
Bhattacharya
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S.
Bhattacharya
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S.
Chauhan
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S.
Chauhan
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P.
Gupta
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P.
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S.
Jain
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S.
Jain
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S.
Jain
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S.
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M.G.V.
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M.G.V.
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M.
Jha
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M.
Jha
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A
Kumar
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A
Kumar
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A.
Srivastava
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A.
Srivastava
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R.D.
Choudhury
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R.D.
Choudhury
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D.
Dutta
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D.
Dutta
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A.
Mohanty
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A.
Mohanty
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T.
Aziz
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T.
Aziz
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A.
Gurtu
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A.
Gurtu
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A.
Nayak
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A.
Nayak
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A.
Saha
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A.
Saha
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A.
Marinov
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A.
Marinov
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S.
Banerjee
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S.
Banerjee
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A.
Jafari
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A.
Jafari
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M.
Maggi
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M.
Maggi
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R.T.
Rajan
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R.T.
Rajan
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A.
Perrotta
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A.
Perrotta
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R.
Travaglini
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R.
Travaglini
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R.
Travaglini
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S.
Costa
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S.
Costa
(author),
S.
Costa
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R.
D'Alessandro
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R.
D'Alessandro
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R.
D'Alessandro
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A.
Russo
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A.
Russo
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M.
Michelotto
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M.
Michelotto
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A.
Dimitrov
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A.
Dimitrov
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S.
Ventura
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S.
Ventura
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C.
Riccardi
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C.
Riccardi
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C.
Riccardi
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A.O.
Kraan
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A.O.
Kraan
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L.
Martini
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L.
Martini
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S
Sarkar
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S
Sarkar
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M.
Costa
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M.
Costa
(author),
M.
Costa
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M.
Marone
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M.
Marone
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M.
Marone
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S.
Chang
(author),
S.
Chang
(author),
J.
Chung
(author),
J.
Chung
(author),
D.H.
Kim
(author),
D.H.
Kim
(author)
The CMS Hadron Calorimeter in the barrel, endcap and forward regions is fully commissioned. Cosmic ray data were taken with and without magnetic field at the surface hall and after installation in the experimental hall, hundred meters underground. Various measurements were also p
...
The CMS Hadron Calorimeter in the barrel, endcap and forward regions is fully commissioned. Cosmic ray data were taken with and without magnetic field at the surface hall and after installation in the experimental hall, hundred meters underground. Various measurements were also performed during the few days of beam in the LHC in September 2008. Calibration parameters were extracted, and the energy response of the HCAL determined from test beam data has been checked.
@en