Imperial College London
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DrJose ElielCamargo-Molina

Faculty of Natural Sciences, Department of Physics

Academic Visitor
 
 
 
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Contact

 

+44 (0)20 7594 7833j.camargo-molina

 
 
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Location

 

H508Blackett LaboratorySouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{AbdusSalam:2022:1361-6633/ac60ac,
author = {AbdusSalam, SS and Agocs, FJ and Allanach, BC and Athron, P and Balazs, C and Bagnaschi, E and Bechtle, P and Buchmueller, O and Beniwal, A and Bhom, J and Bloor, S and Bringmann, T and Buckley, A and Butter, A and Camargo-Molina, JE and Chrzaszcz, M and Conrad, J and Cornell, JM and Danninger, M and de, Blas J and De, Roeck A and Desch, K and Dolan, M and Dreiner, H and Eberhardt, O and Ellis, J and Ben, F and Fedele, M and Flaecher, H and Fowlie, A and Gonzalo, TE and Grace, P and Hamer, M and Handley, W and Harz, J and Heinemeyer, S and Hoof, S and Hotinli, S and Jackson, P and Kahlhoefer, F and Kowalska, K and Kraemer, M and Kvellestad, A and Martinez, ML and Mahmoudi, F and Martinez, Santos D and Martinez, GD and Mishima, S and Olive, K and Paul, A and Prim, MT and Porod, W and Raklev, A and Renk, JJ and Rogan, C and Roszkowski, L and de, Austri RR and Sakurai, K and Scaffidi, A and Scott, P and Sessolo, EM and Stefaniak, T and Stoecker, P and Su, W and Trojanowski, S and Trotta, },
doi = {1361-6633/ac60ac},
journal = {Reports on Progress in Physics},
title = {Simple and statistically sound recommendations for analysing physical theories},
url = {http://dx.doi.org/10.1088/1361-6633/ac60ac},
volume = {85},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Physical theories that depend on many parameters or are tested against data from many different experiments pose unique challenges to statistical inference. Many models in particle physics, astrophysics and cosmology fall into one or both of these categories. These issues are often sidestepped with statistically unsound ad hoc methods, involving intersection of parameter intervals estimated by multiple experiments, and random or grid sampling of model parameters. Whilst these methods are easy to apply, they exhibit pathologies even in low-dimensional parameter spaces, and quickly become problematic to use and interpret in higher dimensions. In this article we give clear guidance for going beyond these procedures, suggesting where possible simple methods for performing statistically sound inference, and recommendations of readily-available software tools and standards that can assist in doing so. Our aim is to provide any physicists lacking comprehensive statistical training with recommendations for reaching correct scientific conclusions, with only a modest increase in analysis burden. Our examples can be reproduced with the code publicly available at Zenodo.
AU  - AbdusSalam,SS
AU  - Agocs,FJ
AU  - Allanach,BC
AU  - Athron,P
AU  - Balazs,C
AU  - Bagnaschi,E
AU  - Bechtle,P
AU  - Buchmueller,O
AU  - Beniwal,A
AU  - Bhom,J
AU  - Bloor,S
AU  - Bringmann,T
AU  - Buckley,A
AU  - Butter,A
AU  - Camargo-Molina,JE
AU  - Chrzaszcz,M
AU  - Conrad,J
AU  - Cornell,JM
AU  - Danninger,M
AU  - de,Blas J
AU  - De,Roeck A
AU  - Desch,K
AU  - Dolan,M
AU  - Dreiner,H
AU  - Eberhardt,O
AU  - Ellis,J
AU  - Ben,F
AU  - Fedele,M
AU  - Flaecher,H
AU  - Fowlie,A
AU  - Gonzalo,TE
AU  - Grace,P
AU  - Hamer,M
AU  - Handley,W
AU  - Harz,J
AU  - Heinemeyer,S
AU  - Hoof,S
AU  - Hotinli,S
AU  - Jackson,P
AU  - Kahlhoefer,F
AU  - Kowalska,K
AU  - Kraemer,M
AU  - Kvellestad,A
AU  - Martinez,ML
AU  - Mahmoudi,F
AU  - Martinez,Santos D
AU  - Martinez,GD
AU  - Mishima,S
AU  - Olive,K
AU  - Paul,A
AU  - Prim,MT
AU  - Porod,W
AU  - Raklev,A
AU  - Renk,JJ
AU  - Rogan,C
AU  - Roszkowski,L
AU  - de,Austri RR
AU  - Sakurai,K
AU  - Scaffidi,A
AU  - Scott,P
AU  - Sessolo,EM
AU  - Stefaniak,T
AU  - Stoecker,P
AU  - Su,W
AU  - Trojanowski,S
AU  - Trotta,R
AU  - Tsai,Y-LS
AU  - Van,den Abeele J
AU  - Valli,M
AU  - Vincent,AC
AU  - Weiglein,G
AU  - White,M
AU  - Wienemann,P
AU  - Wu,L
AU  - Zhang,Y
DO  - 1361-6633/ac60ac
PY  - 2022///
SN  - 0034-4885
TI  - Simple and statistically sound recommendations for analysing physical theories
T2  - Reports on Progress in Physics
UR  - http://dx.doi.org/10.1088/1361-6633/ac60ac
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000791574900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - https://iopscience.iop.org/article/10.1088/1361-6633/ac60ac
UR  - http://hdl.handle.net/10044/1/109400
VL  - 85
ER  -
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