-
Notifications
You must be signed in to change notification settings - Fork 7
Expand file tree
/
Copy pathparticipants.html
More file actions
629 lines (530 loc) · 31.4 KB
/
participants.html
File metadata and controls
629 lines (530 loc) · 31.4 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Participants: Bayesian Methods in Nuclear Physics</title>
<link href="css/bootstrap.css" rel="stylesheet">
<!-- MathJAX support -->
<script type="text/x-mathjax-config">
MathJax.Hub.Config({
tex2jax: {inlineMath: [['$','$'], ['\\(','\\)']]}
});
</script>
<script type="text/javascript"
src="http://cdn.mathjax.org/mathjax/latest/MathJax.js?config=TeX-AMS-MML_HTMLorMML">
</script>
<!-- End MathJAX support -->
</head>
<body>
<div class="container">
<div class="row">
<h1>Bayesian Methods in Nuclear Physics</h1>
<p>A <a href="http://www.int.washington.edu/PROGRAMS/16-2a/">workshop on
Bayesian Methods in Nuclar Physics</a> was held at
the <a href="http://www.int.washington.edu">Institute for
Nuclear Theory</a> at the University of Washington in
Seattle from June 13 to July 8, 2016. These pages continue the discussion
initiated at this program. The workshop was the number 4 of the ISNET
(Information and Statistics in Nuclear Experiments and Theory) family of
meetings. Talks given at ISNET-3 and ISNET-5 are also listed here. </p>
<p><b>Goal:</b> For statisticians and
nuclear practitioners to jointly explore how Bayesian
inference can enable progress on the frontiers of nuclear
physics and open up new directions for the field.
</p>
<hr>
<div class="col-sm-7">
<h2>Information about Participants</h2>
<p>
All participants in the program are encouraged to provide information
about their research specialty, statistics connection, and up to five
relevant references. Send your info to furnstahl.1 at osu.edu or awsteiner at utk.edu
(or you can edit this page directly via
<a href="https://github.com/bayesint">github</a> if you have joined the
project).
</p>
<p>Entries are in alphabetical order by last name. </p>
<dl>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Steffen A. Bass, Duke University, bass at phy.duke.edu </dt>
<dd>
Nuclear Theory. Modeling and phenomenology of relativistic
heavy-ion collisions. Model-to-data comparisons using Bayesian inference.
<ul>
<li><i>Constraining the initial state granularity with bulk
observables in Au+Au collisions</i>
H. Petersen, C.E. Coleman-Smith, S.A. Bass and R.L. Wolpert,
<a
href="http://dx.doi.org/10.1088/0954-3899/38/4/045102">J. Phys. G38
045102 (2011)</a>[<a href="https://arxiv.org/abs/1012.4629">arXiv:1012.4629</a>]
<li><i>Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison,</i>
J.E. Bernhard, P.W. Marcy, C.E. Coleman-Smith,
S. Huzurbazar, R.L. Wolpert and S.A. Bass,
<a
href="http://dx.doi.org/10.1103/PhysRevC.91.054910">Phys.
Rev. C91 054910 (2015)</a>
[<a href="https://arxiv.org/abs/1502.00339">arXiv:1502.00339</a>].
<li><i>Applying Bayesian parameter estimation to relativistic heavy-ion collisions: simultaneous characterization of the initial state and quark-gluon plasma medium,</i>
J.E. Bernhard, J.S. Moreland, S.A. Bass, J. Liu and
U.W. Heinz,
[<a href="https://arxiv.org/abs/1605.03954">arXiv:1605.03954</a>]
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Jonah Bernhard, Duke University, jeb65 at phy.duke.edu</dt>
<dd>
Computational nuclear physics; extracting properties of hot and dense QCD matter from relativistic heavy-ion collision data.
<ul>
<li>
<i>Quantifying properties of hot and dense QCD matter through systematic model-to-data comparison</i>,
J. E. Bernhard, P. W. Marcy, C. E. Coleman-Smith, S. Huzurbazar, R. L. Wolpert, S.A. Bass,
<a href="http://dx.doi.org/10.1103/PhysRevC.91.054910">Phys. Rev. C91 054910 (2015)</a>,
[<a href="https://arxiv.org/abs/1502.00339">arXiv:1502.00339</a>].
</li>
<li>
<i>Applying Bayesian parameter estimation to relativistic heavy-ion collisions: simultaneous characterization of the initial state and quark-gluon plasma medium</i>,
J. E. Bernhard, J. S. Moreland, S. A. Bass, J. Liu, U. W. Heinz,
[<a href="https://arxiv.org/abs/1605.03954">arXiv:1605.03954</a>].
</li>
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt> Derek Bingham, Simon Fraser University, dbingham at stat.sfu.ca</dt>
<dd>
Bayesian methods, computer experiments, design of experiments, uncertainty
quantification.
<ul>
<li><i> Prediction and Computer Model calibration using
outputs from multi-fidelity simulators </i>
J. Goh, D. Bingham, J.P Holloway, M.J. Grosskopf, C.C Kuranz,
and E. Rutter,
<a href="
http://www.tandfonline.com/doi/abs/10.1080/00401706.2013.838910">,
Technometrics, 2013, 55(4), 501-512</a>
• <li><i> Efficient emulators of computer experiments
using compactly supported correlation functions, with an application to
cosmology,</i>
• C.G. Kaufman, D. Bingham, S. Habib, K.
Heitmann, and J.A. Frieman,
<a href="
http://dx.doi.org/10.1103/PhysRevC.91.054910">, Annals of Applied
Statistics, 2011, 2470-2492.</a>
</ul> </dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Roberto Capote, IAEA Nuclear Data Section, r.capotenoy at iaea.org </dt>
<dd>
Nuclear Data modeling and nuclear data evaluation. Bayesian evaluation
methods in nuclear data.
<ul>
<li><i><a href="http://dx.doi.org/10.1016/j.nds.2008.11.007">An Investigation of the
Performance of the Unified Monte Carlo Method of Neutron Cross Section Data Evaluation</a></i>,
R. Capote and D.L. Smith, Nucl. Data Sheets, Vol. 109, p. 2768 (2008).
<li><i><a href="http://dx.doi.org/10.1051/epjconf/20100804001">Nuclear data evaluation methodology including estimates of covariances</a></i>,
R. Capote, D.L. Smith, and A. Trkov, EPJ Web of Conferences, Vol. 8, p. 04001
(2010).
<li><i><a href="http://dx.doi.org/10.1016/j.nima.2013.06.025">Transformation of correlation
coefficients between normal and lognormal distribution and implications for
nuclear applications</a></i>, G. Žerovnik, A. Trkov, D. L. Smith, R. Capote, Nuclear Instruments and Methods in Physics Research
A727 (2013) 33–39.
<li><i><a href="http://dx.doi.org/10.1520/JAI104115">A New Formulation of the Unified Monte Carlo Approach (UMC-B) and Cross-Section: Evaluation for the Dosimetry Reaction 55Mn(n,g)56Mn</a></i>,
R. Capote, D.L. Smith, A. Trkov, and M. Meghzifene,
J. ASTM International 9(4), JAI 104119 (2012).
<li><i><a href="http://dx.doi.org/10.1103/PhysRevC.89.054318">Uncertainties of mass extrapolations in
Hartree-Fock-Bogoliubov mass models</a></i>, S. Goriely and R. Capote, Phys. Rev. C89 (2014) 054318.
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Dick Furnstahl, Ohio State University, furnstahl.1 at osu.edu </dt>
<dd>
Low-energy nuclear physics theory; applying Bayesian methods to effective
field theory, including parameter estimation and model selection.
<ul>
<li><i>Bayesian parameter estimation for effective field theories,</i>
S. Wesolowski, N. Klco, R.J. Furnstahl, D.R. Phillips and A. Thapaliya,
<a href="http://iopscience.iop.org/article/10.1088/0954-3899/43/7/074001/meta;jsessionid=C272E57EBEC2061894B2871FA308BCAC.c3.iopscience.cld.iop.org">J. Phys. G 43, 074001 (2016)</a>
[<a href="https://arxiv.org/abs/1511.03618">arXiv:1511.03618</a>].
<li><i>Quantifying truncation errors in effective field theory,</i>
R.J. Furnstahl, N. Klco, D.R. Phillips and S. Wesolowski,
<a href="http://journals.aps.org/prc/abstract/10.1103/PhysRevC.92.024005">Phys. Rev. C 92, 024005 (2015)</a>
[<a href="https://arxiv.org/abs/1506.01343">arXiv:1506.01343</a>].
<li><i>A recipe for EFT uncertainty quantification in nuclear physics,</i>
R.J. Furnstahl, D.R. Phillips, and S. Wesolowski,
<a href="http://iopscience.iop.org/article/10.1088/0954-3899/42/3/034028/meta">J. Phys. G 42, 034028 (2015)</a>
[<a href="https://arxiv.org/abs/1407.0657">arXiv:1407.0657</a>].
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Harald W. Griesshammer, George Washington University,
hgrie at gwu.edu</dt>
<dd>
Nuclear and particle theory: the Effective Field Theories
describing one- and few-nucleon systems at low energies,
emphasising theory consistency, data consistency and
consistency between the two.
<ul><li> <i>Nucleon Polarisabilities at and Beyond Physical
Pion Masses</i>, H. W. Grießhammer, J. A. McGovern
and D. R. Phillips,
<a href="http://dx.doi.org/10.1140/epja/i2016-16139-5">Eur.
Phys. J. A52 (2016) 139</a>,
[<a href="http://arxiv.org/abs/1511.01952">arXiv:1511.01952
[nucl-th]</a>].
</li><li>
<i>Assessing Theory Uncertainties in EFT Power Countings
from Residual Cutoff Dependence</i>, H. W.
Grießhammer, PoS (CD15) 104
[<a href="http://arxiv.org/abs/1511.00490">arXiv:1511.00490
[nucl-th]</a>].
</li>
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Michael Grosskopf, Simon Fraser University,
mgrossko at sfu.ca</dt>
<dd>
Bayesian methods, Calibration and emulation of computer models, Statistical learning,
Uncertainty quantification
<ul><li><i> Prediction and Computer Model calibration using
outputs from multi-fidelity simulators </i>
J. Goh, D. Bingham, J.P Holloway, M.J. Grosskopf, C.C Kuranz,
and E. Rutter,
<a href="http://www.tandfonline.com/doi/abs/10.1080/00401706.2013.838910">,
Technometrics, 2013, 55(4), 501-512</a>
</li><li>
<i>Calibrating a Large Computer Experiment Simulating Radiative Shock Hydrodynamics</i>,
Robert B. Gramacy, Derek Bingham, James Paul Holloway, Michael J. Grosskopf, Carolyn C. Kuranz,
Erica Rutter, Matt Trantham, and R. Paul Drake, The annals of applied statistics,
2015, Vol.9(3), p.1141-1168
</li><li>
<i>Conceptual design of a Rayleigh-Taylor experiment to study bubble merger in two dimensions on NIF</i>,
Malamud, G, Grosskopf, MJ, Drake, RP, High Energy Density Physics,Vol. 11, p. 17-25,
DOI: 10.1016/j.hedp.2014.01.001
</li>
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Dave Ireland, University of Glasgow, David.Ireland at glasgow.ac.uk</dt>
<dd>
Experimental hadron physics, baryon spectroscopy. Bayesian methods for experimental data analysis. Use of information theory.
<ul>
<li> <i>Information content of polarization measurements</i>, D. G. Ireland,
<a href="http://dx.doi.org/10.1103/PhysRevC.82.025204">Phys. Rev. C 82 (2010) 025204</a>,
[<a href="https://arxiv.org/abs/1004.5250">arXiv:1004.5250
[hep-ph]</a>].
</li><li>
<i>Model discrimination in pseudoscalar-meson photoproduction</i>, J. Nys, J. Ryckebusch, D. G. Ireland, D. I. Glazier
<a href="http://dx.doi.org/10.1016/j.physletb.2016.05.069">Phys. Lett. B 759 (2016) 260</a>
[<a href="https://arxiv.org/abs/1603.02001">arXiv:1603.02001
[hep-ph]</a>].
</li>
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Natalie Klco, University of Washington, klcon at uw.edu</dt>
<dd>
Low-energy nuclear physics theory; applying Bayesian methods to effective
field theory, including parameter estimation and model selection.
<ul>
<li><i>Bayesian parameter estimation for effective field theories,</i>
S. Wesolowski, N. Klco, R.J. Furnstahl, D.R. Phillips and A. Thapaliya,
<a href="http://iopscience.iop.org/article/10.1088/0954-3899/43/7/074001/meta;jsessionid=C272E57EBEC2061894B2871FA308BCAC.c3.iopscience.cld.iop.org">J. Phys. G 43, 074001 (2016)</a>
[<a href="https://arxiv.org/abs/1511.03618">arXiv:1511.03618</a>].
<li><i>Quantifying truncation errors in effective field theory,</i>
R.J. Furnstahl, N. Klco, D.R. Phillips and S. Wesolowski,
<a href="http://journals.aps.org/prc/abstract/10.1103/PhysRevC.92.024005">Phys. Rev. C 92, 024005 (2015)</a>
[<a href="https://arxiv.org/abs/1506.01343">arXiv:1506.01343</a>].
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Earl Lawrence, Statistician, Los Alamos National Laboratory, earl at lanl.gov</dt>
<dd>
Bayesian methods, methods for computationally intensive models,
applications of statistics to physics.
<ul>
<li><i>Partitioning a Large Simulation While It Runs,</i>
Kary Myers, Earl Lawrence, Michael Fugate, Clair McKay Bowen, Lawrence
Ticknor, Jon Woodring, Joanne Wendelberger, and James Ahrens,
<a href="http://amstat.tandfonline.com/doi/abs/10.1080/00401706.2016.1158740">Technometrics, (2016)</a>
[<a href="http://arxiv.org/abs/1409.0909">arXiv:1409.0909</a>].
<li><i>The Coyote Universe extended: Precision emulation of the matter
power spectrum,</i>
Katrin Heitmann, Earl Lawrence, Juliana Kwan, Salman Habib,
and David Higdon,
<a href="http://iopscience.iop.org/article/10.1088/0004-637X/780/1/111/meta;jsessionid=CF2F42A673C23DAD1E3C76DB5A68B513.ip-10-40-2-73">The Astrophysical Journal, (2013)</a>
[<a href="http://arxiv.org/abs/1304.7849">arXiv:1304.7849</a>].
<li><i>Computer model calibration using the ensemble Kalman filter,</i>
David Higdon, James Gattiker, Earl Lawrence, Charles Jackson, Michael Tobis,
Matthew Pratola, Salman Habib, Katrin Heitmann, and Steve Price,
<a href="http://www.tandfonline.com/doi/abs/10.1080/00401706.2013.842936">Technometrics, (2013)</a>
[<a href="http://arxiv.org/abs/1204.3547">arXiv:1204.3547</a>].
<li><i><a href="http://link.springer.com/chapter/10.1007%2F978-1-4614-3520-4_4">Simulation-aided inference in cosmology</a>,</i>
David Higdon, Earl Lawrence, Katrin Heitmann, and Salman Habib,
<a href="http://link.springer.com/book/10.1007/978-1-4614-3520-4">Statistical Challenges in Modern Astronomy V, (2012)</a>
<li><i>The Coyote Universe III:
Simulation suite and precision emulator for the nonlinear matter power
spectrum,</i>
Earl Lawrence, Katrin Heitmann, Martin White, David Higdon, Christian
Wagner, Salman Habib, and Brian Williams,
<a href="http://iopscience.iop.org/article/10.1088/0004-637X/713/2/1322/meta">The Astrophysical Journal, 713 (2010)</a>
[<a href="https://arxiv.org/abs/0912.4490">arXiv:0912.4490</a>].
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Witold Nazarewicz, Michigan State University, witek at frib.msu.edu</dt>
<dd>
Nuclear structure and reactions theory; uncertainty quantification of
nuclear models, including parameter estimation, model selection, and
information content of experimental data assessment.
<ul>
<li><i>Impact of Nuclear Mass Uncertainties on the r Process,</i>
D. Martin, A. Arcones, W. Nazarewicz, and E. Olsen,
<a href="http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.116.121101">Phys. Rev. Lett. 116, 121101 (2016)</a>
[<a href="https://arxiv.org/abs/1512.03158">arXiv:1512.03158</a>].
<li><i>Nuclear charge and neutron radii and nuclear matter: Trend analysis in
Skyrme density-functional-theory approach,</i>
P.-G. Reinhard and W. Nazarewicz,
<a href="http://journals.aps.org/prc/abstract/10.1103/PhysRevC.93.051303">Phys. Rev. C 93, 051303(R) (2016)</a>
[<a href="https://arxiv.org/abs/1601.06324">arXiv:1601.06324</a>].
<li><i>Uncertainty Quantification for Nuclear Density Functional Theory and
Information Content of New Measurements,</i>
J.D. McDonnell, N. Schunck, D.
Higdon, J. Sarich, S.M. Wild, W. Nazarewicz,
<a href="http://journals.aps.org/prl/abstract/10.1103/PhysRevLett.114.122501">Phys.
Rev. Lett. 114, 112501 (2015)</a>
[<a href="https://arxiv.org/abs/1501.03572">arXiv:1501.03572</a>].
<li><i>Error Estimates of Theoretical Models: a Guide,</i>
J. Dobaczewski, W. Nazarewicz, and P.-G. Reinhard,
<a href="http://iopscience.iop.org/article/10.1088/0954-3899/41/7/074001">J. Phys. G 41, 074001 (2014)</a>
[<a href="https://arxiv.org/abs/1402.4657">arXiv:1402.4657</a>].
<li><i>Information content of the low-energy electric dipole strength: Correlation
analysis</i>,
P.-G. Reinhard and W. Nazarewicz,
<a href="http://journals.aps.org/prc/abstract/10.1103/PhysRevC.87.014324">Phys. Rev. C 87, 014324 (2013)</a>
[<a href="https://arxiv.org/abs/1211.1649">arXiv:1211.1649</a>].
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Denise Neudecker, Los Alamos National Laboratory, dneudecker at lanl.org </dt>
<dd>
Uncertainty quantification of nuclear data. Bayesian evaluation methods in
nuclear data.
<ul>
<li><i><a href="http://dx.doi.org/10.1016/j.nima.2013.05.005">Impact of model defect and
experimental uncertainties on evaluated output</a></i>,
D. Neudecker, R. Capote, and H.Leeb, Nuclear Instruments and
Methods in Physics Research A723 (2013) 163–172.
<li><i><a href="http://dx.doi.org/10.13182/NSE14-6">Impact of the
Normalization Condition and Model Information on Evaluated Prompt Fission
Neutron Spectra and Associated Uncertainties</a></i>,
D. Neudecker, D.L. Smith, R. Capote, T. Burr and P. Talou, Nucl. Sc. & Eng. 179 (2015)
381-397.
<li><i><a href="https://www-nds.iaea.org/publications/indc/indc-nds-0709/">A study of UMC in one dimension</a></i>, D.L. Smith, D. Neudecker, R. Capote Noy,
IAEA Report INDC(NDS)-0709 (2016).
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Daniel Phillips, Ohio University, phillid1 at ohio.edu</dt>
<dd>
Theory and phenomenology of few-nucleon systems, especially electromagnetic
reactions;
Universality in atomic & nuclear physics; Theory of reactions for nuclei
near the dripline;
Applications of Effective Field Theory and Bayesian Methods to these
topics.
<ul>
<li><i>Bayesian parameter estimation for effective field theories,</i>
S. Wesolowski, N. Klco, R.J. Furnstahl, D.R. Phillips and A. Thapaliya,
<a href="http://iopscience.iop.org/article/10.1088/0954-3899/43/7/074001/meta;jsessionid=C272E57EBEC2061894B2871FA308BCAC.c3.iopscience.cld.iop.org">J. Phys. G 43, 074001 (2016)</a>
[<a href="https://arxiv.org/abs/1511.03618">arXiv:1511.03618</a>].
<li><i>Halo effective field theory constrains the solar 7Be + p → 8B + γ rate,</i>
Xilin Zhang, Kenneth M. Nollett, and D.R. Phillips,
<a href="http://www.sciencedirect.com/science/article/pii/S0370269315008515">Phys.Lett. B751 (2015) 535-540</a>
[<a href="https://arxiv.org/abs/1507.07239">arXiv:1507.07239</a>].
<li><i>Quantifying truncation errors in effective field theory,</i>
R.J. Furnstahl, N. Klco, D.R. Phillips and S. Wesolowski,
<a href="http://journals.aps.org/prc/abstract/10.1103/PhysRevC.92.024005">Phys. Rev. C 92, 024005 (2015)</a>
[<a href="https://arxiv.org/abs/1506.01343">arXiv:1506.01343</a>].
<li><i>A recipe for EFT uncertainty quantification in nuclear physics,</i>
R.J. Furnstahl, D.R. Phillips, and S. Wesolowski,
<a href="http://iopscience.iop.org/article/10.1088/0954-3899/42/3/034028/meta">J. Phys. G 42, 034028 (2015)</a>
[<a href="https://arxiv.org/abs/1407.0657">arXiv:1407.0657</a>].
<li><i>Using effective field theory to analyse low-energy Compton scattering data
from protons and light nuclei,</i>
Xilin Zhang, Kenneth M. Nollett, D.R. Phillips,
<a href="http://www.sciencedirect.com/science/article/pii/S0146641012000750">Prog.
Part. Nucl. Phys. 67, 841 (2012)</a>
[<a href="https://arxiv.org/abs/1203.6834">arXiv:1203.6834</a>].
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Chong Qi, KTH Royal Institute of Technology, Stockholm, chongq at kth.se </dt>
<dd>
Low energy nuclear structure theory. Structure and decay properties of intermediate-mass and heavy nuclei. Large-scale shell model configuration interaction calculations.
<ul>
<li><i><a href="http://journals.aps.org/prc/abstract/10.1103/PhysRevC.86.044323">Monopole-optimized effective interaction for tin isotopes</a> </i>.
<li><i><a href="http://arxiv.org/abs/1208.6461">Shell evolution and its indication on the isospin dependence of the spin-orbit splitting</a> </i>.
<li><i><a href="http://journals.aps.org/prc/abstract/10.1103/PhysRevC.92.024306">"Global calculations of microscopic energies and nuclear deformations : Isospin dependence of the spin-orbit coupling </a> </i>.
<li><i><a href="https://www.kth.se/profile/chongq/publications/?l=en">More papers here</a> </i>.
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Nicolas Schunck, LLNL schunck1 at llnl.gov </dt>
<dd>
Nuclear theory. Structure of heavy nuclei and nuclear fission. High-performance computing for nuclear density functional theory.
<ul>
<li><i> Uncertainty quantification and propagation in nuclear density functional theory </i>,
N. Schunck, J. McDonnell, D. Higdon, J. Sarich, S. Wild
<a href="http://dx.doi.org/10.1140/epja/i2015-15169-9">
Eur. Phys. J. A, 51 (2015) 1</a>
[<a href="http://arxiv.org/abs/1503.05894">arXiv:1503.05894</a>].</li>
<li><i> Uncertainty Quantification for Nuclear Density Functional Theory and Information Content of New Measurements </i>,
J. McDonnell, N. Schunck, D. Higdon, J. Sarich, S. Wild, W. Nazarewicz
<a href="http://dx.doi.org/10.1103/PhysRevLett.114.122501">
Phys. Rev. Lett. 114, 122501 (2015)</a>
[<a href="http://arxiv.org/abs/1501.03572">arXiv:1501.03572</a>].</li>
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Donald L. Smith, Argonne National Laboratory (r), DonaldLarnedSmith at gmail.com </dt>
<dd>
Nuclear physics experiments and nuclear data evaluation. Bayesian evaluation
methods in nuclear data.
<ul>
<li>D.L. Smith, Probability, Statistics, and Data Uncertainties in Nuclear
Science and Technology, American Nuclear Society, LaGrange Park, IL (1991).
<li>D. L. Smith, A Unified Monte Carlo Approach to Fast Neutron Cross
Section Data Evaluation, Report ANL/NDM-166 (2008), Argonne National
Laboratory.
<li><i><a href="http://dx.doi.org/10.1016/j.nds.2008.11.007">An Investigation of the
Performance of the Unified Monte Carlo Method of Neutron Cross Section Data Evaluation</a></i>,
R. Capote and D.L. Smith, Nucl. Data Sheets, Vol. 109, p. 2768 (2008).
<li><i><a href="http://dx.doi.org/10.1051/epjconf/20100804001">Nuclear data evaluation methodology including estimates of covariances</a></i>,
R. Capote, D.L. Smith, and A. Trkov, EPJ Web of Conferences, Vol. 8, p. 04001
(2010).
<li><i><a href="http://dx.doi.org/10.13182/NSE14-6">Impact of the
Normalization Condition and Model Information on Evaluated Prompt Fission
Neutron Spectra and Associated Uncertainties</a></i>, D. Neudecker, D.L. Smith, R. Capote, T. Burr and P. Talou, Nucl. Sc. & Eng. 179 (2015) 381-397.
<!--
<li><i><a href="https://www-nds.iaea.org/publications/indc/indc-nds-0709/">A study of UMC in one dimension</a></i>, D.L. Smith, D. Neudecker, R. Capote Noy,
IAEA Report INDC(NDS)-0709 (2016).
-->
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Ron Soltz, LLNL soltz1 at llnl.gov </dt>
<dd>
Experimental Nuclear Physics and modeling Relativistic Heavy Ion Collisions.
Interest in applying Bayesian methods to improve jet finding in high
multiplicity backgrounds.
<ul>
<li><i> Constraining the initial temperature and shear viscosity in a hybrid
hydrodynamic model of sqrt(s_NN)=200 GeV Au+Au collisions using pion
spectra, elliptic flow, and femtoscopic radii</i>,
R.A. Soltz et al,
<a href="http://journals.aps.org/prc/abstract/10.1103/PhysRevC.87.044901">
Phys. Rev. C 87, 044901 (2013)</a>
[<a href="https://arxiv.org/abs/1208.0897">arXiv:1208.0897</a>].</li>
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Andrew W. Steiner, UTK/ORNL, awsteiner at
utk.edu, <a href="https://twitter.com/IsospinSymmetry"><img width="18"
src="twitter.png"></a></dt>
<dd>
Theoretical nuclear astrophysics, especially combining
nuclear theory and nuclear data with astronomical
observations using Bayesian inference. Also, open-source
scientific computing.
<ul>
<li><i>Neutron Star Radii, Universal Relations, and the Role of Prior
Distributions</i>,
A. W. Steiner, J. M. Lattimer, and E. F. Brown,
<a href="http://dx.doi.org/10.1140/epja/i2016-16018-1">
Eur. Phys. J. A, 52 (2016) 18</a>
[<a href="http://www.arxiv.org/abs/1510.07515">arXiv:1510.07515</a>].</li>
<li><i>Constraints on the symmetry energy using the mass-radius
relation of neutron stars</i>,
James M. Lattimer and Andrew W. Steiner,
<a href="http://dx.doi.org/10.1140/epja/i2014-14040-y">
Eur. Phys. J. A, 50 (2014) 40</a>
[<a href="http://www.arxiv.org/abs/1403.1186">arXiv:1403.1186</a>].</li>
<li><i>Moving beyond Chi-squared in nuclei and neutron stars</i>,
A. W. Steiner,
<a href="http://dx.doi.org/10.1088/0954-3899/42/3/034004">
J. Phys. G, 42 (2015) 034004</a>
[<a href="http://www.arxiv.org/abs/1407.0100">arXiv:1407.0100</a>].</li>
<li><i>The Equation of State from Observed Masses and Radii of
Neutron Stars</i>,
A. W. Steiner, J. M. Lattimer, and E.F. Brown,
<a href="http://dx.doi.org/10.1088/0004-637X/722/1/33">
Astrophys. J., 722 (2010) 33</a>
[<a href="http://www.arxiv.org/abs/1005.0811">arXiv:1005.0811</a>].</li>
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Dario Vretenar, University of Zagreb, vretenar at phy.hr</dt>
<dd>
Low-energy nuclear physics theory; nuclear structure models, nuclear
energy density functionals, nuclear fission.
<ul>
<li><i>Optimizing relativistic energy density functionals: covariance analysis,</i>
T Nikšić, N Paar, P-G Reinhard, and D Vretenar,
<a href="http://iopscience.iop.org/article/10.1088/0954-3899/42/3/034008">J. Phys. G: Nucl. Part. Phys. 42 (2015)</a>.
<li><i>Neutron skin thickness from the measured electric dipole polarizability in
68Ni, 120Sn, and 208Pb,</i>
X. Roca-Maza, X. Viñas, M. Centelles, B. K. Agrawal, G. Colò, N. Paar, J. Piekarewicz, and D. Vretenar,
<a href="http://journals.aps.org/prc/abstract/10.1103/PhysRevC.92.064304">Phys.
Rev. C 92, 064304 (2015)</a>
[<a href="https://arxiv.org/abs/1510.01874">arXiv:1510.01874</a>].
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
<dt>Sarah Wesolowski, Ohio State University, sarahcwesolowski at gmail.com</dt>
<dd>
Low-energy nuclear physics theory; applying Bayesian methods to effective
field theory, including parameter estimation and model selection.
<ul>
<li><i>Bayesian parameter estimation for effective field theories,</i>
S. Wesolowski, N. Klco, R.J. Furnstahl, D.R. Phillips and A. Thapaliya,
<a href="http://iopscience.iop.org/article/10.1088/0954-3899/43/7/074001/meta;jsessionid=C272E57EBEC2061894B2871FA308BCAC.c3.iopscience.cld.iop.org">J. Phys. G 43, 074001 (2016)</a>
[<a href="https://arxiv.org/abs/1511.03618">arXiv:1511.03618</a>].
<li><i>Quantifying truncation errors in effective field theory,</i>
R.J. Furnstahl, N. Klco, D.R. Phillips and S. Wesolowski,
<a href="http://journals.aps.org/prc/abstract/10.1103/PhysRevC.92.024005">Phys. Rev. C 92, 024005 (2015)</a>
[<a href="https://arxiv.org/abs/1506.01343">arXiv:1506.01343</a>].
<li><i>A recipe for EFT uncertainty quantification in nuclear physics,</i>
R.J. Furnstahl, D.R. Phillips, and S. Wesolowski,
<a href="http://iopscience.iop.org/article/10.1088/0954-3899/42/3/034028/meta">J. Phys. G 42, 034028 (2015)</a>
[<a href="https://arxiv.org/abs/1407.0657">arXiv:1407.0657</a>].
</ul>
</dd>
<hr><!--%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%-->
</dl>
</div>
<!-- </span> -->
<div class="col-sm-5">
<h2>Navigation</h2>
<p><a href="index.html">Questions for discussion</a></p>
<p><a href="references.html">References</a></p>
<p><a href="participants.html">Participant information</a></p>
<p><a href="photos.html">Photos from the program</a></p>
<p><a href="humor.html">Statistics (Bayesian and other) humor</a></p>
<p><a href="http://www.int.washington.edu/PROGRAMS/16-2a/">Workshop page</a> at the INT</p>
<p>
<b>Organizers:</b><br>
Nicolas Schunck (lead)<br>
<a href="https://www.physics.ohio-state.edu/~furnstah/">Dick
Furnstahl</a><br>
<a href="https://www.bi.vt.edu/faculty/Dave-Higdon">Dave
Higdon</a><br>
<a href="http://web.utk.edu/~asteine1/">Andrew
Steiner</a><br>
</p>
</div>
</div>
<!-- End of container -->
</div>
<script src="https://ajax.googleapis.com/ajax/libs/jquery/1.11.3/jquery.min.js"></script>
<script src="js/bootstrap.min.js"></script>
</body>
</html>