Strange electromagnetic form factors of the nucleon with $N_f = 2 + 1$ $\mathcal{O}(a)$-improved Wilson fermions
Dalibor Djukanovic, Konstantin Ottnad, Jonas Wilhelm, Hartmut Wittig

TL;DR
This study computes the strange electromagnetic form factors of the nucleon using lattice QCD with $N_f=2+1$ flavors, improved Wilson fermions, and hierarchical probing, providing results that enable controlled chiral and continuum extrapolations.
Contribution
It presents the first lattice QCD calculation of strange nucleon form factors with multiple ensembles, improved techniques, and systematic error control.
Findings
Results show small strange contributions to nucleon form factors.
Controlled chiral and continuum extrapolations achieved.
Hierarchical probing effectively reduces variance in disconnected diagrams.
Abstract
We present results for the strange contribution to the electromagnetic form factors of the nucleon computed on the CLS ensembles with flavors of -improved Wilson fermions and an -improved vector current. Several source-sink separations are investigated in order to estimate the excited-state contamination. We calculate the form factors on six ensembles with lattice spacings in the range of and pion masses in the range of , which allows for a controlled chiral and continuum extrapolation. In the computation of the quark-disconnected contributions we employ hierarchical probing as a variance reduction technique.
| [fm] | [MeV] | [MeV] | [MeV] | ||||||
|---|---|---|---|---|---|---|---|---|---|
| H105 | 3.40 | 0.08636 | 278 | 460 | 1037 | 6.44 | 1020 | 391680 | |
| N401∗ | 3.46 | 0.07634 | 289 | 462 | 1042 | 8.59 | 701 | 314048 | |
| N203 | 3.55 | 0.06426 | 345 | 441 | 1111 | 6.90 | 772 | 345856 | |
| N200 | 3.55 | 0.06426 | 283 | 463 | 1061 | 7.23 | 856 | 383488 | |
| D200 | 3.55 | 0.06426 | 200 | 480 | 989 | 10.01 | 278 | 124544 | |
| N302∗ | 3.70 | 0.04981 | 354 | 458 | 1120 | 5.55 | 1177 | 527296 |
| Fit | [fm2] | [fm2] | /d.o.f. | |
|---|---|---|---|---|
| Standard | -0.0046(12) | -0.020(5) | -0.010(6) | 2.04(12) |
| Prior width | -0.0053(15) | -0.020(6) | -0.012(8) | 1.47(12) |
| Plateau | -0.0045(14) | -0.022(8) | -0.014(8) | 1.62(12) |
| -0.0036(16) | -0.009(7) | -0.003(8) | 1.91(9) | |
| -0.0049(12) | -0.021(5) | -0.010(6) | 1.12(9) | |
| No cut in | -0.0051(9) | -0.017(5) | -0.008(5) | 3.14(12) |
| H105 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0 | - | - | -0.02047 (0.00437) | -0.01233 (0.00599) |
| 1 | 0.06397 (0.01385) | 0.06823 (0.01405) | 0.12329 (0.06527) | 0.04532 (0.07789) |
| 2 | 0.02234 (0.14166) | -0.02693 (0.14610) | -0.00992 (0.28592) | 0.00175 (0.23002) |
| 3 | 0.00627 (0.15825) | -0.00133 (0.16380) | -0.00232 (0.28851) | 0.00026 (0.23533) |
| 4 | 0.00108 (0.15816) | 0.00019 (0.16458) | -0.00038 (0.28453) | 0.00002 (0.23424) |
| 5 | 0.00015 (0.15918) | 0.00006 (0.16606) | -0.00005 (0.28363) | -0.00000 (0.23054) |
| /dof | 0.44508 | 1.64311 | 1.46231 | 0.48937 |
| N401 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0 | - | - | -0.02529 (0.00425) | -0.02095 (0.00435) |
| 1 | 0.09512 (0.01429) | 0.10383 (0.01443) | 0.13391 (0.09905) | 0.13431 (0.08529) |
| 2 | -0.27623 (0.16770) | -0.30477 (0.16933) | 0.13998 (0.62712) | -0.04352 (0.48865) |
| 3 | -0.02203 (0.25734) | -0.03529 (0.26595) | 0.01803 (0.67666) | -0.01013 (0.49372) |
| 4 | -0.00082 (0.25992) | -0.00313 (0.26699) | 0.00121 (0.68362) | -0.00160 (0.49435) |
| 5 | 0.00007 (0.25824) | -0.00025 (0.26746) | -0.00001 (0.67480) | -0.00021 (0.49920) |
| /dof | 1.73239 | 1.16637 | 1.47959 | 0.96105 |
| N203 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0 | - | - | -0.01899 (0.00345) | -0.01435 (0.00458) |
| 1 | 0.07188 (0.00981) | 0.06983 (0.01178) | 0.06979 (0.06544) | 0.02585 (0.06573) |
| 2 | -0.24568 (0.09677) | -0.22658 (0.11057) | 0.00194 (0.34785) | -0.03506 (0.28291) |
| 3 | -0.03558 (0.15444) | -0.03115 (0.14710) | -0.00407 (0.36546) | -0.00927 (0.28600) |
| 4 | -0.00422 (0.15360) | -0.00345 (0.14939) | -0.00127 (0.37107) | -0.00165 (0.28557) |
| 5 | -0.00049 (0.15529) | -0.00037 (0.14689) | -0.00025 (0.37221) | -0.00025 (0.28763) |
| /dof | 1.89473 | 1.84721 | 1.71021 | 1.18630 |
| N200 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0 | - | - | -0.02586 (0.00341) | -0.02665 (0.00517) |
| 1 | 0.08026 (0.01134) | 0.06574 (0.01291) | 0.20748 (0.06348) | 0.23425 (0.06965) |
| 2 | -0.34096 (0.11673) | -0.19624 (0.13298) | -0.16836 (0.34266) | -0.04257 (0.23831) |
| 3 | -0.06001 (0.15726) | -0.03532 (0.16129) | -0.04070 (0.35692) | -0.01019 (0.24036) |
| 4 | -0.00831 (0.15976) | -0.00498 (0.16238) | -0.00670 (0.35371) | -0.00166 (0.23809) |
| 5 | -0.00106 (0.15881) | -0.00064 (0.16369) | -0.00094 (0.35217) | -0.00023 (0.23128) |
| /dof | 1.69598 | 0.96513 | 0.96210 | 1.88794 |
| D200 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0 | - | - | -0.01544 (0.00470) | -0.01214 (0.00862) |
| 1 | 0.06857 (0.02031) | 0.06464 (0.02218) | 0.10160 (0.07439) | 0.09163 (0.13288) |
| 2 | -0.01483 (0.22268) | -0.14348 (0.24059) | -0.06996 (0.37373) | -0.00272 (0.63158) |
| 3 | 0.00768 (0.31098) | -0.01647 (0.28613) | -0.01276 (0.36976) | 0.00061 (0.64526) |
| 4 | 0.00191 (0.30663) | -0.00143 (0.28985) | -0.00165 (0.36929) | 0.00019 (0.64590) |
| 5 | 0.00030 (0.30945) | -0.00010 (0.28545) | -0.00019 (0.37093) | 0.00003 (0.65096) |
| /dof | 1.05330 | 1.14854 | 1.77733 | 0.59909 |
| N302 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0 | - | - | -0.01088 (0.00320) | -0.00910 (0.00515) |
| 1 | 0.06065 (0.00886) | 0.05927 (0.01035) | 0.01563 (0.04561) | 0.00821 (0.06148) |
| 2 | -0.13785 (0.07965) | -0.18502 (0.09230) | -0.00556 (0.19990) | -0.00875 (0.19448) |
| 3 | -0.02385 (0.09626) | -0.03279 (0.10684) | -0.00165 (0.19593) | -0.00221 (0.19935) |
| 4 | -0.00316 (0.09728) | -0.00449 (0.10823) | -0.00033 (0.19528) | -0.00038 (0.20066) |
| 5 | -0.00038 (0.09759) | -0.00056 (0.11077) | -0.00005 (0.19247) | -0.00006 (0.19969) |
| /dof | 2.72651 | 1.64723 | 1.55374 | 2.20057 |
| H105 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0.00000 | 0.00034 (0.00107) | 0.00135 (0.00106) | - | - |
| 0.14300 | 0.00327 (0.00155) | 0.00195 (0.00233) | -0.02275 (0.00903) | -0.00662 (0.01681) |
| 0.14974 | 0.00304 (0.00156) | 0.00585 (0.00197) | -0.01549 (0.00658) | -0.00950 (0.01191) |
| 0.19268 | 0.00346 (0.00080) | 0.00378 (0.00077) | -0.01174 (0.00267) | -0.00795 (0.00374) |
| 0.19397 | 0.00350 (0.00067) | 0.00383 (0.00069) | -0.01517 (0.00226) | -0.01139 (0.00306) |
| 0.19487 | 0.00408 (0.00093) | 0.00557 (0.00113) | -0.00947 (0.00324) | -0.01279 (0.00545) |
| 0.30464 | 0.00399 (0.00154) | 0.00532 (0.00211) | -0.02289 (0.00514) | -0.02235 (0.00939) |
| 0.31545 | 0.00406 (0.00191) | 0.00576 (0.00275) | -0.01645 (0.00510) | -0.02176 (0.01025) |
| 0.37069 | 0.00544 (0.00065) | 0.00423 (0.00081) | -0.00832 (0.00166) | -0.00677 (0.00251) |
| 0.37505 | 0.00537 (0.00093) | 0.00592 (0.00124) | -0.01291 (0.00269) | -0.01148 (0.00406) |
| 0.37833 | 0.00529 (0.00115) | 0.00605 (0.00188) | -0.01197 (0.00295) | -0.00765 (0.00611) |
| 0.40252 | 0.00644 (0.00064) | 0.00666 (0.00076) | -0.00987 (0.00148) | -0.00880 (0.00213) |
| 0.45865 | 0.00495 (0.00340) | 0.00744 (0.00375) | -0.01160 (0.00850) | -0.01750 (0.01360) |
| 0.53690 | 0.00486 (0.00170) | 0.00337 (0.00243) | -0.00795 (0.00313) | -0.01109 (0.00592) |
| 0.55227 | 0.00488 (0.00157) | 0.00524 (0.00189) | -0.00937 (0.00308) | -0.00146 (0.00521) |
| 0.59650 | 0.00496 (0.00083) | 0.00458 (0.00094) | -0.00896 (0.00172) | -0.00855 (0.00219) |
| 0.69338 | 0.00541 (0.00262) | 0.00305 (0.00435) | -0.00433 (0.00486) | 0.01567 (0.00764) |
| 0.70727 | 0.00323 (0.00238) | -0.00021 (0.00309) | -0.00360 (0.00459) | -0.00018 (0.00773) |
| 0.71798 | 0.00484 (0.00308) | 0.00288 (0.00441) | -0.00341 (0.00528) | 0.00410 (0.01151) |
| 0.80515 | 0.00473 (0.00126) | 0.00472 (0.00158) | -0.00471 (0.00199) | -0.00449 (0.00308) |
| 0.84184 | 0.00525 (0.00178) | 0.00582 (0.00258) | 0.00120 (0.00339) | -0.00045 (0.00599) |
| 0.86127 | 0.00340 (0.00207) | 0.00559 (0.00252) | -0.00265 (0.00363) | -0.00752 (0.00603) |
| 0.94815 | 0.00594 (0.00132) | 0.00857 (0.00204) | -0.00082 (0.00227) | -0.00067 (0.00427) |
| 0.95489 | 0.00439 (0.00117) | 0.00710 (0.00166) | -0.00245 (0.00190) | -0.00146 (0.00349) |
| 0.98315 | 0.00046 (0.00370) | 0.00405 (0.00415) | -0.00748 (0.00583) | -0.00590 (0.00838) |
| 0.99902 | 0.00440 (0.00073) | 0.00557 (0.00086) | -0.00336 (0.00108) | -0.00403 (0.00162) |
| 1.00001 | 0.00411 (0.00093) | 0.00390 (0.00127) | -0.00285 (0.00143) | 0.00055 (0.00260) |
| 1.10979 | 0.00439 (0.00182) | 0.00403 (0.00232) | -0.00636 (0.00258) | -0.00900 (0.00425) |
| 1.12050 | 0.00200 (0.00270) | 0.00614 (0.00378) | -0.01003 (0.00381) | -0.00675 (0.00683) |
| 1.18020 | 0.00310 (0.00135) | 0.00278 (0.00207) | -0.00531 (0.00177) | -0.00186 (0.00353) |
| 1.18347 | 0.00606 (0.00169) | 0.00209 (0.00272) | -0.00069 (0.00232) | 0.00083 (0.00451) |
| 1.20767 | 0.00472 (0.00096) | 0.00397 (0.00134) | -0.00422 (0.00133) | -0.00342 (0.00189) |
| N401 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0.00000 | 0.00116 (0.00115) | 0.00176 (0.00112) | - | - |
| 0.09297 | 0.00256 (0.00135) | 0.00255 (0.00128) | 0.00571 (0.00949) | -0.01468 (0.01318) |
| 0.09455 | 0.00238 (0.00126) | 0.00284 (0.00123) | -0.02148 (0.00782) | -0.01459 (0.00972) |
| 0.11160 | 0.00353 (0.00072) | 0.00371 (0.00072) | -0.01811 (0.00394) | -0.02243 (0.00448) |
| 0.11190 | 0.00404 (0.00066) | 0.00366 (0.00063) | -0.02018 (0.00337) | -0.01543 (0.00396) |
| 0.11209 | 0.00399 (0.00082) | 0.00418 (0.00087) | -0.01899 (0.00413) | -0.01054 (0.00517) |
| 0.19208 | 0.00273 (0.00118) | 0.00442 (0.00109) | -0.01577 (0.00571) | -0.01013 (0.00684) |
| 0.19485 | 0.00321 (0.00122) | 0.00517 (0.00125) | -0.01864 (0.00481) | -0.01690 (0.00558) |
| 0.21804 | 0.00444 (0.00061) | 0.00543 (0.00059) | -0.02050 (0.00219) | -0.01470 (0.00280) |
| 0.21904 | 0.00349 (0.00081) | 0.00563 (0.00080) | -0.01587 (0.00311) | -0.01153 (0.00379) |
| 0.21983 | 0.00278 (0.00085) | 0.00412 (0.00091) | -0.01489 (0.00374) | -0.00720 (0.00490) |
| 0.22895 | 0.00407 (0.00061) | 0.00495 (0.00059) | -0.01420 (0.00214) | -0.01249 (0.00234) |
| 0.28782 | 0.00237 (0.00200) | 0.00585 (0.00184) | -0.02224 (0.00656) | -0.01464 (0.00727) |
| 0.31993 | 0.00327 (0.00138) | 0.00644 (0.00127) | -0.01616 (0.00366) | -0.01296 (0.00478) |
| 0.32360 | 0.00350 (0.00128) | 0.00694 (0.00118) | -0.01782 (0.00372) | -0.00876 (0.00433) |
| 0.34084 | 0.00539 (0.00084) | 0.00640 (0.00079) | -0.01255 (0.00228) | -0.00853 (0.00258) |
| 0.41775 | 0.00395 (0.00200) | 0.00430 (0.00184) | -0.00471 (0.00469) | -0.01755 (0.00620) |
| 0.42102 | 0.00312 (0.00200) | 0.00509 (0.00184) | -0.00454 (0.00446) | -0.00760 (0.00546) |
| 0.42380 | 0.00313 (0.00218) | 0.00520 (0.00212) | -0.00826 (0.00454) | -0.01159 (0.00641) |
| 0.45789 | 0.00629 (0.00118) | 0.00684 (0.00114) | -0.00927 (0.00283) | -0.00828 (0.00338) |
| 0.51211 | 0.00633 (0.00122) | 0.00475 (0.00110) | -0.00534 (0.00317) | -0.00501 (0.00336) |
| 0.51687 | 0.00663 (0.00129) | 0.00522 (0.00116) | -0.00912 (0.00287) | -0.00603 (0.00326) |
| 0.55086 | 0.00599 (0.00102) | 0.00509 (0.00096) | -0.00268 (0.00249) | -0.00478 (0.00300) |
| 0.55255 | 0.00631 (0.00087) | 0.00620 (0.00086) | -0.00577 (0.00193) | -0.00728 (0.00233) |
| 0.56979 | 0.00614 (0.00059) | 0.00550 (0.00062) | -0.00607 (0.00147) | -0.00421 (0.00169) |
| 0.56999 | 0.00677 (0.00074) | 0.00662 (0.00076) | -0.00809 (0.00164) | -0.00626 (0.00201) |
| 0.60319 | 0.00327 (0.00176) | 0.00315 (0.00167) | -0.00668 (0.00370) | -0.00463 (0.00425) |
| 0.64997 | 0.00378 (0.00122) | 0.00377 (0.00117) | -0.00705 (0.00261) | -0.00771 (0.00304) |
| 0.65275 | 0.00278 (0.00154) | 0.00343 (0.00152) | -0.01197 (0.00331) | -0.00859 (0.00380) |
| 0.67693 | 0.00438 (0.00102) | 0.00455 (0.00098) | -0.00664 (0.00194) | -0.00372 (0.00247) |
| 0.67772 | 0.00494 (0.00122) | 0.00396 (0.00131) | -0.00835 (0.00248) | -0.00954 (0.00295) |
| 0.68694 | 0.00512 (0.00083) | 0.00558 (0.00082) | -0.00497 (0.00157) | -0.00342 (0.00184) |
| N203 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0.00000 | -0.00003 (0.00090) | -0.00153 (0.00112) | - | - |
| 0.12555 | 0.00308 (0.00102) | 0.00534 (0.00123) | -0.00476 (0.00624) | -0.01342 (0.01149) |
| 0.12876 | 0.00289 (0.00096) | 0.00532 (0.00121) | -0.00834 (0.00493) | -0.00039 (0.00845) |
| 0.15658 | 0.00455 (0.00052) | 0.00515 (0.00069) | -0.01772 (0.00258) | -0.01591 (0.00487) |
| 0.15718 | 0.00425 (0.00047) | 0.00481 (0.00064) | -0.01598 (0.00204) | -0.01474 (0.00295) |
| 0.15758 | 0.00409 (0.00062) | 0.00502 (0.00080) | -0.01677 (0.00288) | -0.01592 (0.00403) |
| 0.26184 | 0.00222 (0.00088) | 0.00105 (0.00118) | -0.00891 (0.00390) | -0.00484 (0.00568) |
| 0.26716 | 0.00169 (0.00094) | 0.00067 (0.00140) | -0.01402 (0.00331) | -0.01198 (0.00512) |
| 0.30442 | 0.00357 (0.00041) | 0.00337 (0.00062) | -0.01435 (0.00139) | -0.01170 (0.00233) |
| 0.30633 | 0.00324 (0.00059) | 0.00231 (0.00079) | -0.01329 (0.00197) | -0.01114 (0.00295) |
| 0.30794 | 0.00329 (0.00063) | 0.00271 (0.00089) | -0.01292 (0.00233) | -0.01139 (0.00356) |
| 0.32310 | 0.00390 (0.00043) | 0.00321 (0.00057) | -0.01245 (0.00121) | -0.01160 (0.00188) |
| 0.39291 | 0.00613 (0.00172) | 0.00528 (0.00219) | -0.00256 (0.00419) | 0.00367 (0.00728) |
| 0.44463 | 0.00597 (0.00102) | 0.00611 (0.00127) | -0.01222 (0.00238) | -0.01587 (0.00502) |
| 0.45196 | 0.00499 (0.00103) | 0.00509 (0.00128) | -0.00788 (0.00224) | -0.00743 (0.00363) |
| 0.48029 | 0.00502 (0.00053) | 0.00530 (0.00070) | -0.01001 (0.00134) | -0.01118 (0.00212) |
| 0.57851 | 0.00171 (0.00141) | 0.00175 (0.00165) | -0.01045 (0.00336) | -0.01087 (0.00506) |
| 0.58494 | 0.00150 (0.00137) | 0.00270 (0.00165) | -0.00732 (0.00319) | -0.00271 (0.00468) |
| 0.59036 | 0.00110 (0.00159) | 0.00381 (0.00209) | -0.00874 (0.00341) | -0.00602 (0.00521) |
| 0.64631 | 0.00410 (0.00077) | 0.00378 (0.00100) | -0.00662 (0.00169) | -0.00473 (0.00264) |
| 0.70667 | 0.00527 (0.00093) | 0.00570 (0.00117) | -0.00508 (0.00198) | -0.00962 (0.00344) |
| 0.71601 | 0.00516 (0.00098) | 0.00564 (0.00138) | -0.00762 (0.00214) | -0.01061 (0.00351) |
| 0.77185 | 0.00552 (0.00073) | 0.00506 (0.00099) | -0.00312 (0.00159) | -0.00774 (0.00256) |
| 0.77507 | 0.00540 (0.00063) | 0.00481 (0.00094) | -0.00526 (0.00130) | -0.00642 (0.00214) |
| 0.80349 | 0.00538 (0.00041) | 0.00513 (0.00058) | -0.00574 (0.00086) | -0.00660 (0.00139) |
| 0.80389 | 0.00528 (0.00052) | 0.00488 (0.00076) | -0.00573 (0.00102) | -0.00721 (0.00167) |
| 0.82990 | 0.00616 (0.00157) | 0.00483 (0.00182) | -0.00194 (0.00270) | -0.00748 (0.00448) |
| 0.90814 | 0.00444 (0.00092) | 0.00313 (0.00121) | -0.00523 (0.00175) | -0.00332 (0.00258) |
| 0.91347 | 0.00509 (0.00127) | 0.00514 (0.00177) | -0.00354 (0.00226) | 0.00169 (0.00355) |
| 0.95264 | 0.00493 (0.00076) | 0.00517 (0.00097) | -0.00426 (0.00117) | -0.00516 (0.00192) |
| 0.95424 | 0.00397 (0.00083) | 0.00330 (0.00116) | -0.00509 (0.00151) | -0.00626 (0.00235) |
| 0.96941 | 0.00425 (0.00055) | 0.00417 (0.00072) | -0.00515 (0.00090) | -0.00531 (0.00147) |
| N200 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0.00000 | -0.00093 (0.00106) | -0.00055 (0.00139) | - | - |
| 0.12293 | 0.00313 (0.00116) | 0.00204 (0.00161) | -0.01729 (0.00681) | -0.02589 (0.01542) |
| 0.12665 | 0.00380 (0.00114) | 0.00154 (0.00163) | -0.01656 (0.00600) | 0.00015 (0.01105) |
| 0.15618 | 0.00331 (0.00057) | 0.00255 (0.00079) | -0.02071 (0.00244) | -0.02093 (0.00519) |
| 0.15678 | 0.00343 (0.00054) | 0.00320 (0.00073) | -0.01831 (0.00221) | -0.02165 (0.00364) |
| 0.15728 | 0.00371 (0.00068) | 0.00297 (0.00097) | -0.02179 (0.00303) | -0.02532 (0.00509) |
| 0.25772 | 0.00447 (0.00103) | 0.00183 (0.00147) | -0.01230 (0.00460) | -0.01697 (0.00803) |
| 0.26375 | 0.00407 (0.00110) | 0.00205 (0.00175) | -0.01123 (0.00402) | -0.01699 (0.00742) |
| 0.30282 | 0.00451 (0.00047) | 0.00403 (0.00063) | -0.00973 (0.00144) | -0.00647 (0.00297) |
| 0.30513 | 0.00467 (0.00066) | 0.00365 (0.00092) | -0.00858 (0.00259) | -0.00497 (0.00401) |
| 0.30693 | 0.00483 (0.00073) | 0.00300 (0.00122) | -0.01039 (0.00279) | -0.01177 (0.00512) |
| 0.32310 | 0.00462 (0.00047) | 0.00445 (0.00063) | -0.00893 (0.00149) | -0.00491 (0.00246) |
| 0.38688 | 0.00871 (0.00207) | 0.00502 (0.00265) | -0.00277 (0.00558) | 0.00434 (0.00987) |
| 0.44152 | 0.00677 (0.00127) | 0.00548 (0.00154) | -0.00705 (0.00280) | -0.01500 (0.00559) |
| 0.44985 | 0.00721 (0.00120) | 0.00418 (0.00160) | -0.00347 (0.00281) | 0.00084 (0.00495) |
| 0.47998 | 0.00410 (0.00064) | 0.00359 (0.00090) | -0.00628 (0.00161) | -0.00191 (0.00270) |
| 0.57339 | 0.00402 (0.00175) | 0.00546 (0.00223) | -0.00395 (0.00415) | 0.00219 (0.00841) |
| 0.58082 | 0.00504 (0.00167) | 0.00810 (0.00215) | -0.00824 (0.00379) | -0.00954 (0.00637) |
| 0.58695 | 0.00590 (0.00191) | 0.00857 (0.00279) | -0.00484 (0.00420) | -0.00907 (0.00725) |
| 0.64631 | 0.00444 (0.00090) | 0.00471 (0.00120) | -0.00543 (0.00189) | -0.00710 (0.00335) |
| 0.69934 | 0.00560 (0.00123) | 0.00744 (0.00153) | -0.00483 (0.00234) | -0.00775 (0.00467) |
| 0.71008 | 0.00702 (0.00127) | 0.00810 (0.00172) | -0.00672 (0.00268) | -0.00389 (0.00479) |
| 0.76924 | 0.00663 (0.00093) | 0.00643 (0.00129) | -0.00345 (0.00192) | -0.00493 (0.00360) |
| 0.77296 | 0.00686 (0.00081) | 0.00734 (0.00116) | -0.00603 (0.00164) | -0.00675 (0.00297) |
| 0.80309 | 0.00538 (0.00051) | 0.00581 (0.00074) | -0.00520 (0.00100) | -0.00521 (0.00187) |
| 0.80359 | 0.00580 (0.00065) | 0.00610 (0.00098) | -0.00561 (0.00123) | -0.00451 (0.00226) |
| 0.82016 | 0.00558 (0.00183) | 0.00182 (0.00251) | -0.00303 (0.00299) | -0.00551 (0.00552) |
| 0.90403 | 0.00412 (0.00110) | 0.00443 (0.00154) | -0.00377 (0.00190) | -0.00580 (0.00341) |
| 0.91005 | 0.00503 (0.00154) | 0.00296 (0.00233) | -0.00446 (0.00257) | -0.00640 (0.00468) |
| 0.95133 | 0.00393 (0.00086) | 0.00253 (0.00126) | -0.00525 (0.00139) | -0.00716 (0.00247) |
| 0.95324 | 0.00275 (0.00106) | 0.00381 (0.00157) | -0.00352 (0.00180) | -0.01072 (0.00386) |
| 0.96941 | 0.00418 (0.00063) | 0.00349 (0.00094) | -0.00456 (0.00108) | -0.00367 (0.00185) |
| D200 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0.00000 | 0.00086 (0.00245) | 0.00279 (0.00314) | - | - |
| 0.07543 | -0.00185 (0.00223) | 0.00058 (0.00316) | -0.02945 (0.01863) | -0.02786 (0.03715) |
| 0.07653 | -0.00117 (0.00205) | 0.00005 (0.00278) | -0.01659 (0.01504) | -0.01260 (0.02745) |
| 0.08889 | 0.00109 (0.00132) | 0.00313 (0.00165) | -0.04089 (0.00895) | -0.01793 (0.01775) |
| 0.08899 | 0.00204 (0.00113) | 0.00281 (0.00140) | -0.01097 (0.00774) | -0.01581 (0.01209) |
| 0.08919 | 0.00157 (0.00137) | 0.00168 (0.00191) | -0.00955 (0.00956) | -0.01169 (0.01477) |
| 0.15527 | 0.00327 (0.00198) | 0.00306 (0.00254) | -0.03115 (0.01122) | -0.02594 (0.01966) |
| 0.15708 | 0.00298 (0.00199) | 0.00419 (0.00258) | -0.00891 (0.00922) | -0.00692 (0.01470) |
| 0.17406 | 0.00319 (0.00110) | 0.00288 (0.00132) | -0.00706 (0.00460) | 0.00191 (0.00896) |
| 0.17466 | 0.00421 (0.00143) | 0.00558 (0.00179) | -0.00402 (0.00758) | 0.00724 (0.01104) |
| 0.17516 | 0.00381 (0.00156) | 0.00458 (0.00206) | -0.02756 (0.00786) | -0.02037 (0.01349) |
| 0.18179 | 0.00421 (0.00111) | 0.00455 (0.00129) | -0.01730 (0.00493) | -0.00671 (0.00716) |
| 0.23251 | -0.00073 (0.00312) | 0.00008 (0.00429) | -0.00278 (0.01129) | -0.00205 (0.01903) |
| 0.25591 | 0.00279 (0.00238) | 0.00499 (0.00335) | -0.00777 (0.00821) | -0.02576 (0.01537) |
| 0.25832 | 0.00143 (0.00205) | -0.00023 (0.00281) | 0.00007 (0.00698) | -0.00774 (0.01103) |
| 0.27078 | 0.00365 (0.00134) | 0.00386 (0.00203) | -0.00409 (0.00497) | -0.01025 (0.00781) |
| 0.33485 | -0.00071 (0.00318) | 0.00230 (0.00447) | -0.00616 (0.00991) | 0.00424 (0.01819) |
| 0.33696 | -0.00027 (0.00308) | 0.00356 (0.00401) | -0.00806 (0.00987) | 0.00327 (0.01494) |
| 0.33877 | -0.00012 (0.00322) | 0.00295 (0.00441) | -0.00677 (0.00981) | -0.00817 (0.01694) |
| 0.36358 | 0.00131 (0.00199) | 0.00179 (0.00264) | -0.00295 (0.00648) | -0.00256 (0.00979) |
| 0.41129 | 0.00664 (0.00220) | 0.00348 (0.00334) | -0.01137 (0.00504) | 0.00449 (0.01013) |
| 0.41430 | 0.00626 (0.00208) | 0.00286 (0.00291) | -0.00628 (0.00610) | 0.00222 (0.01017) |
| 0.43901 | 0.00609 (0.00176) | 0.00149 (0.00250) | 0.00627 (0.00490) | -0.00887 (0.00899) |
| 0.44001 | 0.00696 (0.00142) | 0.00384 (0.00199) | -0.00716 (0.00403) | 0.00015 (0.00635) |
| 0.45257 | 0.00690 (0.00110) | 0.00290 (0.00159) | -0.00840 (0.00306) | -0.00460 (0.00514) |
| 0.45267 | 0.00664 (0.00132) | 0.00448 (0.00199) | -0.01535 (0.00388) | -0.00104 (0.00621) |
| 0.48521 | 0.00882 (0.00274) | 0.01279 (0.00343) | 0.00182 (0.00625) | 0.00848 (0.01126) |
| 0.51875 | 0.00518 (0.00197) | 0.01002 (0.00237) | -0.00284 (0.00512) | 0.00437 (0.00758) |
| 0.52056 | 0.00720 (0.00208) | 0.00733 (0.00290) | 0.00961 (0.00570) | 0.02815 (0.00982) |
| 0.53814 | 0.00770 (0.00164) | 0.01075 (0.00218) | -0.00167 (0.00408) | 0.01878 (0.00710) |
| 0.53874 | 0.00379 (0.00197) | 0.01119 (0.00243) | -0.00565 (0.00533) | -0.00720 (0.00865) |
| 0.54527 | 0.00674 (0.00136) | 0.00909 (0.00167) | -0.00219 (0.00337) | 0.00405 (0.00543) |
| N302 | ||||
|---|---|---|---|---|
| Summation Method | Plateau Fit | Summation Method | Plateau Fit | |
| 0.00000 | 0.00030 (0.00088) | 0.00098 (0.00099) | - | - |
| 0.18358 | 0.00316 (0.00099) | 0.00582 (0.00153) | -0.01073 (0.00529) | -0.01557 (0.01293) |
| 0.19423 | 0.00389 (0.00096) | 0.00541 (0.00149) | -0.00649 (0.00469) | -0.01593 (0.00961) |
| 0.25587 | 0.00492 (0.00048) | 0.00460 (0.00060) | -0.01281 (0.00146) | -0.01527 (0.00273) |
| 0.25800 | 0.00451 (0.00044) | 0.00433 (0.00051) | -0.00725 (0.00148) | -0.00468 (0.00223) |
| 0.25955 | 0.00407 (0.00057) | 0.00425 (0.00081) | -0.00570 (0.00209) | -0.00661 (0.00381) |
| 0.39513 | 0.00320 (0.00102) | 0.00322 (0.00141) | -0.00884 (0.00350) | 0.00210 (0.00711) |
| 0.41206 | 0.00453 (0.00130) | 0.00395 (0.00192) | -0.00889 (0.00346) | -0.00603 (0.00786) |
| 0.49006 | 0.00439 (0.00041) | 0.00363 (0.00052) | -0.00899 (0.00084) | -0.00878 (0.00167) |
| 0.49732 | 0.00484 (0.00058) | 0.00400 (0.00078) | -0.00973 (0.00155) | -0.00706 (0.00284) |
| 0.50264 | 0.00386 (0.00071) | 0.00247 (0.00107) | -0.00983 (0.00176) | -0.00365 (0.00384) |
| 0.53787 | 0.00444 (0.00041) | 0.00428 (0.00049) | -0.00747 (0.00090) | -0.00889 (0.00143) |
| 0.59593 | 0.00675 (0.00216) | 0.00583 (0.00305) | 0.00616 (0.00541) | -0.00440 (0.01034) |
| 0.70713 | 0.00613 (0.00097) | 0.00583 (0.00125) | -0.00791 (0.00189) | -0.01123 (0.00383) |
| 0.73200 | 0.00547 (0.00096) | 0.00735 (0.00146) | -0.00064 (0.00195) | -0.00920 (0.00419) |
| 0.79587 | 0.00423 (0.00048) | 0.00471 (0.00065) | -0.00583 (0.00102) | -0.00616 (0.00164) |
| 0.91055 | 0.00491 (0.00159) | 0.00083 (0.00207) | -0.00699 (0.00272) | -0.00274 (0.00540) |
| 0.93290 | 0.00550 (0.00147) | 0.00451 (0.00199) | -0.00165 (0.00271) | 0.00121 (0.00500) |
| 0.94984 | 0.00551 (0.00198) | 0.00179 (0.00320) | -0.00200 (0.00323) | 0.00658 (0.00784) |
| 1.07564 | 0.00449 (0.00072) | 0.00409 (0.00094) | -0.00340 (0.00118) | -0.00387 (0.00201) |
| 1.10255 | 0.00445 (0.00119) | 0.00464 (0.00151) | -0.00378 (0.00184) | -0.00328 (0.00371) |
| 1.13381 | 0.00455 (0.00138) | 0.00466 (0.00202) | -0.00100 (0.00243) | 0.00017 (0.00494) |
| 1.25922 | 0.00347 (0.00081) | 0.00439 (0.00119) | -0.00292 (0.00142) | 0.00069 (0.00290) |
| 1.26987 | 0.00344 (0.00072) | 0.00409 (0.00118) | -0.00077 (0.00117) | 0.00009 (0.00262) |
| 1.28477 | 0.00068 (0.00222) | 0.00171 (0.00280) | 0.00267 (0.00330) | 0.00946 (0.00590) |
| 1.33364 | 0.00434 (0.00039) | 0.00437 (0.00055) | -0.00344 (0.00062) | -0.00381 (0.00109) |
| 1.33519 | 0.00417 (0.00053) | 0.00478 (0.00084) | -0.00288 (0.00083) | -0.00004 (0.00174) |
| 1.47077 | 0.00273 (0.00105) | 0.00411 (0.00151) | -0.00292 (0.00149) | -0.00302 (0.00283) |
| 1.48771 | -0.00011 (0.00179) | -0.00035 (0.00295) | -0.00368 (0.00239) | 0.00510 (0.00520) |
| 1.57297 | 0.00232 (0.00077) | 0.00360 (0.00105) | -0.00110 (0.00091) | 0.00059 (0.00197) |
| 1.57829 | 0.00319 (0.00090) | 0.00326 (0.00155) | -0.00203 (0.00125) | -0.00076 (0.00287) |
| 1.61351 | 0.00231 (0.00048) | 0.00331 (0.00070) | -0.00276 (0.00064) | -0.00264 (0.00120) |
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Strange electromagnetic form factors of the nucleon with -improved Wilson fermions
D. Djukanovic
Helmholtz Institute Mainz, Staudingerweg 18, D-55128 Mainz, Germany
K. Ottnad
Helmholtz Institute Mainz, Staudingerweg 18, D-55128 Mainz, Germany
PRISMA+ Cluster of Excellence and Institute for Nuclear Physics, Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55128 Mainz, Germany
J. Wilhelm
PRISMA+ Cluster of Excellence and Institute for Nuclear Physics, Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55128 Mainz, Germany
H. Wittig
Helmholtz Institute Mainz, Staudingerweg 18, D-55128 Mainz, Germany
PRISMA+ Cluster of Excellence and Institute for Nuclear Physics, Johannes Gutenberg University of Mainz, Johann-Joachim-Becher-Weg 45, D-55128 Mainz, Germany
Abstract
We present results for the strange contribution to the electromagnetic form factors of the nucleon computed on the coordinated lattice simulation ensembles with flavors of -improved Wilson fermions and an -improved vector current. Several source-sink separations are investigated in order to estimate the excited-state contamination. We calculate the form factors on six ensembles with lattice spacings in the range of and pion masses in the range of , which allows for a controlled chiral and continuum extrapolation. In the computation of the quark-disconnected contributions, we employ hierarchical probing as a variance-reduction technique.
pacs:
11.15.Ha, 12.38.Gc, 12.38.-t,
Keywords: Lattice QCD, Electromagnetic Form Factors, Strangeness
The contributions of strange sea quarks to the nucleon electromagnetic form factors, which characterize the charge and current distribution in the nucleon, have been of high interest in the last decades. Experimentally, strange electromagnetic form factors can be measured through the parity-violating asymmetry, arising from the interference of the electromagnetic and neutral weak interactions, in the elastic scattering of polarized electrons on unpolarized protons. The first measurement by the SAMPLE experiment, at backward angles and low , yielded a result for which is consistent with zero Spayde et al. (2004). The G0 collaboration combined measurements at forward and backward angles and found a first indication of a non-zero and , contributing to the nucleon electromagnetic form factors Androić et al. (2010); Armstrong et al. (2005). A first nonzero measurement has been obtained by the A4 experiment at MAMI with a four momentum transfer squared of , where and Baunack et al. (2009). A recent measurement from the HAPPEX collaboration at found a value for the combination of the strange electromagnetic form factors consistent with zero Ahmed et al. (2012), confirming a previous measurement at , where a value consistent with zero was found as well Aniol et al. (2004). For a recent review of the experimental status of the strange electromagnetic form factors, see Maas and Paschke (2017). On the theoretical side, lattice QCD simulations allow for a nonperturbative determination of the strange nucleon form factors. This is a challenging calculation, due to the appearance of quark-disconnected diagrams, which are notoriously difficult to evaluate. The most expensive part of the pertinent simulation is the calculation of the trace of an all-to-all propagator. In order to obtain a good signal, the application of variance-reduction techniques, such as hierarchical probing Stathopoulos et al. (2013), are crucial. A prominent example to illustrate the importance of a precise knowledge of the strange nucleon form factors is the weak charge of the proton. At tree level and without radiative corrections, the weak charge is connected to the weak mixing angle through . Hence, through measurements of , one can determine a fundamental parameter of the Standard Model. The experiment proceeds by measuring the parity-violating asymmetry, from which can be isolated, provided that the required nucleon form factors to describe the hadronic contribution are known Becker et al. (2018); Maas and Paschke (2017). Here the strange electromagnetic form factors and , as well as the strange axial form factor , play a crucial role, as they constitute the leading uncertainty. In this Letter, we closely follow the strategy outlined in Djukanovic et al. (2018).
We make use of the coordinated lattice simulation (CLS) -improved Wilson fermion ensembles with the tree-level-improved Lüscher-Weisz gauge action Bruno et al. (2015). The fermion fields have open boundary conditions in time in order to prevent topological freezing Luscher and Schaefer (2011). Simulations have been performed such that the sum of the bare quark masses is constant, which implies a constant -improved coupling Bietenholz et al. (2010). See Table 1 for a list of ensembles used in this Letter.
We obtain the strange electromagnetic form factors of the nucleon by calculating the disconnected three-point function with a vector current insertion in the strange quark loop. The relevant diagram and our chosen momentum setup is depicted in Fig. 1. The disconnected three-point function factorizes into separate traces for the strange quark loop and the nucleon two-point function
[TABLE]
where and denote the strange loop, given in Eq. (4), and the nucleon two-point function respectively.
The calculation of nucleon two-point functions proceeds via the standard nucleon interpolator
[TABLE]
and , which ensures the correct parity of the nucleon at zero momentum. Wuppertal smearing Gusken (1990) is applied at the source and the sink for all quark propagators. We increase the statistics of the nucleon two-point function using the truncated solver method Bali et al. (2015); Shintani et al. (2015). Traces over the strange quark loops can be stochastically estimated using four-dimensional noise vectors . For a local current
[TABLE]
the trace over the strange quark loop then reads
[TABLE]
with
[TABLE]
where denotes the Dirac operator for the strange quark, and the sum is taken over the spatial volume . Instead of a local current we consider the -improved conserved vector current in this Letter
[TABLE]
with the improvement coefficient taken from Gérardin et al. (2019). Furthermore, we use hierarchical probing Stathopoulos et al. (2013), which replaces the sequence of noise vectors by one noise vector multiplied with a sequence of Hadamard vectors. We find that the statistical error of the strange quark loop is reduced by a factor of 5 when using 512 Hadamard vectors, compared to the estimate based on 512 U(1) noise vectors, for nearly the same cost. The quark loops in this study were obtained by averaging two independent noise vectors with 512 Hadamard vectors each. To extract the strange contribution to the electromagnetic form factors of the nucleon, we consider the ratios (see Alexandrou et al. (2008); Green et al. (2014); Capitani et al. (2015))
[TABLE]
Performing the spectral decomposition and only taking the ground state into account, these ratios read
[TABLE]
where can be obtained using the parametrization of the nucleon matrix element
[TABLE]
We proceed by evaluating the trace in Eq. (9) for four different projectors
[TABLE]
combined with all components of the vector current , leading to the asymptotic behavior of the ratios in the following form:
[TABLE]
In analogy with Ref. Capitani et al. (2019), we collect all kinematic prefactors and at a common into a matrix and write the ratios as a vector , which results in a (generally) overdetermined system of equations for the form factors
[TABLE]
The system can be solved by minimizing the least-squares function
[TABLE]
where denotes the covariance matrix. Note that we neglect all equations with vanishing kinematical factors () and average equivalent equations, i.e. with identical and . The latter average can already be carried out at the level of the nucleon three-point functions, where the momenta of the nucleon states at the source and the sink of the three-point functions are related by spatial symmetry Syritsyn et al. (2010). In addition, averaging the nucleon two-point functions over equivalent momentum classes, we construct the ratios in Eq. (7) from these averaged correlation functions. Solving the system of equations at each and leads to the so-called effective form factors, which still suffer from excited-state contamination. Following Refs. Gusken (1990); Maiani et al. (1987); Doi et al. (2009); Brandt et al. (2011), we obtain an estimate of the asymptotic value of the form factors using the summation method with source-sink separations in the range of . In the case of the magnetic form factor, the plateau estimates show a clear trend towards the results obtained using the summation method. For the electric form factor, both methods agree already at small values of . The effective form factors for several source-sink separations are shown in Fig. 2. No significant deviation from a plateau around the midpoint is visible. (We have included the effective mass plot for the nucleon on ensemble N200 in the Supplemental Material Supplemental Material at [URL will be inserted by publisher] (2019).)
We will use the summation method data as our standard dataset, since they are less affected by excited-state contamination, compared to the plateau fits. Nevertheless, we include the analysis of the plateau data, for a conservative choice of source-sink separation of 1 fm using 5 points around the midpoint, as an estimate for the uncertainty coming from excited states. In order to further analyze the kaon mass and lattice spacing dependence, we use model-independent -expansion fits Hill and Paz (2010); Epstein et al. (2014) to fifth order to extract the radii and magnetic moment. (We have explicitly checked that going to a maximum order of 10 does not change the fit results.) The form factors can be expanded as
[TABLE]
Since the physical and mesons are narrow resonances and because one cannot easily establish whether or not they are unstable particles on the analyzed ensembles, we use for the value of the cut in the -expansion, where we use the ensemble kaon mass for (see Table 1). We stabilize the fits using Gaussian priors centered around zero for all coefficients with . To this end, we first determine the coefficients from a fit without priors and subsequently use the maximum of these coefficients to estimate the width of the priors, i.e., . We find that for the extraction of the radii and the magnetic moment are stable and lead to consistent results even after applying a cut of GeV2. Finally, we estimate the effect of this choice on the final observables by repeating the analysis with the prior width doubled.
From the -expansion fits, we can extract the strange magnetic moment , as well as the electric and magnetic charge radii ,
[TABLE]
We have repeated the analysis in several variations in order to assess systematic errors and subsequently perform chiral and continuum extrapolations. Since the radii and magnetic moments are defined at , we perform the fits applying a cut of GeV2 and treat the difference to fitting all of the data as a systematic uncertainty. This cut also ensures that all ensembles contribute over the whole range in . In total we thus have four sets of values for the radii and magnetic moments for every ensemble, for which we analyze the lattice spacing and kaon mass dependence.
The analyzed set of ensembles allow for a controlled chiral and continuum extrapolation of the strange electromagnetic form factors. In the following, we will investigate the kaon mass dependence using
[TABLE]
which is derived from SU(3) heavy baryon chiral perturbation theory (HBChPT) Hemmert et al. (1999), supplemented by terms describing the dependence on the lattice spacing and the finite volume. (Note that the CLS ensembles follow the constant trajectory, and so the kaon mass and the pion mass are therefore not varied independently.) Since the finite-volume dependence originates exclusively from kaon loops, we substitute the pion mass in the relevant expression for the magnetic moment Beane (2004) by the mass of the kaon. For a detailed discussion of the finite-volume dependence, we refer to the Supplemental Material Supplemental Material at [URL will be inserted by publisher] (2019). For the radii, we use the model-dependent ansatz of Sufian et al. (2017, 2017), assuming the finite-volume dependence to be same as for the pion form factor calculated in Tiburzi (2014), again replacing the pion with the kaon mass. Since our data for the magnetic radius do not show the divergent behavior expected from HBChPT (see Fig. 3), we amend the expressions from Hemmert et al. (1999) by the term . While this cancellation of higher order terms was already found in Ref. Hammer et al. (2003), we note that the convergence of HBChPT, the rate of which strongly depends on the observable, is, in general, not easily established.
For each of the variations of the -expansion fit in the previous section, we analyze the chiral behavior separately. The chirally extrapolated values for the standard fit procedure and the variations of the -expansion fits performed to assess systematic uncertainties are given in Table 2. We treat the difference of the central values for the variations as an estimate for a (symmetric) systematic error. In addition, we perform a fit including lattice artifacts or a fit including finite-volume dependence to the standard -expansion fit. A simultaneous fit of the lattice spacing and finite-volume dependence amounts to the determination of four parameters from six data points for which the AICc value is not defined. Therefore, we choose to perform separate extrapolations in our analysis. The AICc values, i.e., the Akaike information criterion Akaike (1973) adjusted for small sample size Sugiura (1978); HURVICH and TSAI (1989), for the fits including lattice spacing or finite-volume effects, are larger by at least 24 in absolute value compared to the minimum AICc (for the AICc values, we use the maximum likelihood estimator for the sample variance); i.e., the fits omitting are favored. We therefore quote the fit without lattice artifacts and finite-volume effects as our best value, using the difference in the central value for the respective procedures as a systematic error from finite lattice spacing and finite-volume corrections.
At the physical point, we find
[TABLE]
as our final estimate, where the first error is statistical and the remaining errors come from the variations in the fitting procedure given in Table 2.
For the radii, our values are in good agreement with other lattice determinations Green et al. (2015); Alexandrou et al. (2018); Sufian et al. (2017, 2017). Our value for the magnetic moment is again in good agreement with Green et al. (2015); Alexandrou et al. (2018). The magnetic moment from Sufian et al. (2017, 2017) disagrees with our estimate and with Green et al. (2015); Alexandrou et al. (2018) by more than 2 standard deviations, see Fig. 4. Our best estimate of the radii and magnetic moment compare favorably to the available experimental data, as can be seen from Fig. 5.
In summary, we have reported on our calculation of the strange contribution to the electromagnetic form factors obtained on six CLS -improved Wilson fermion ensembles. For the calculation of the disconnected contributions, we use the method of hierarchical probing, which significantly reduces the statistical error. To deal with excited-state contamination, we employ the summation method. We find agreement with plateau estimates for large enough source-sink separations. The strange charge radii and the strange magnetic moment are obtained on each ensemble through model independent -expansion fits and later extrapolated to the physical point. See the Supplemental Material Supplemental Material at [URL will be inserted by publisher] (2019) for a summary of the extracted form factors and -expansion fits. Our results are compatible with other lattice QCD studies and in good agreement to experimental data. With the current set of ensembles, the physical values for the strange charge radii and the strange magnetic moment still have large relative statistical errors. We aim to improve this by enlarging the number of ensembles.
Acknowledgements.
We thank H. Meyer, T. Harris, and G. von Hippel for useful discussions and comments. This research is supported by the Deutsche Forschungsgemeinschat (DFG, German Research Foundation) through the SFB 1044 “The low-energy frontier of the Standard Model”. K.O. is supported by the DFG through Grant No. HI 2048/1-1. Additionally, this work has been supported by the Cluster of Excellence “Precision Physics, Fundamental Interactions, and Structure of Matter” (PRISMA+ EXC 2118/1) funded by the German Research Foundation (DFG) within the German Excellence Strategy (Project ID 39083149). Calculations for this project were partly performed on the HPC clusters ”Clover” and ”HIMster II” at the Helmholtz-Institut Mainz and ”Mogon II” at JGU Mainz. Additional computer time has been allocated through projects HMZ21 and HMZ36 on the BlueGene supercomputer system ”JUQUEEN” at NIC, Jülich. Our programs use the QDP++ library Edwards and Joo (2005) and deflated SAP+GCR solver from the openQCD package Luscher and Schaefer (2013), while the contractions have been explicitly checked using Djukanovic (2016). We are grateful to our colleagues in the CLS initiative for sharing ensembles.
Appendix A Supplemental Material
For convenience we attach the supplemental material to the published Letter in the following sections.
Appendix B Finite-Volume Dependence
In this section we derive the finite-volume dependence of the strange magnetic moment of the nucleon in HBChPT to order . We will show that the form of the finite-volume correction is the same as in the SU(2) case for the isovector magnetic moment Beane (2004) after substituting the kaon for the pion mass. To this end we analyze the relevant diagram in HBChPT Hemmert et al. (1999). Only one diagram contributes to the magnetic moment at one loop to order , see Fig. 6.
The relevant meson-baryon Lagrangian is Bernard:1995dp
[TABLE]
Expanding the Lagrangian in terms of the meson fields we obtain
[TABLE]
where we only show the terms necessary for the discussion of the finite-volume effects. The are the Gell-Mann matrices and the and are the usual SU(3) structure functions. This leads to the Feynman rule
[TABLE]
for the meson-baryon interaction, where is the incoming momentum of the meson with isospin index , and are the isospin indices of the incoming and outgoing baryon, respectively. The baryon propagator is given by
[TABLE]
The covariant derivative of the mesonic Lagrangian is defined as
[TABLE]
where for the magnetic moment only the octet current contributes at the one-loop level. Again expanding the Lagrangian in terms of meson fields and only keeping the relevant terms gives
[TABLE]
The Feynman rule for the electromagnetic interaction of the meson reads
[TABLE]
where and are the momenta and isospin indices of the incoming and outgoing meson, respectively. Since the structure functions only give non-vanishing contributions for and , only kaons contribute to the loop diagram for the strange magnetic moment of the nucleon. The matrix element of the current (in the Breit frame) is parametrized as
[TABLE]
where
[TABLE]
In the Breit frame the kinematic vectors read
[TABLE]
Using the explicit representation of
[TABLE]
we find that the part of a diagram proportional to corresponds to the magnetic moment.
The one-loop diagram of Fig. 6 reads
[TABLE]
where we only display terms proportional to , i.e. contributing to the magnetic moment. We have collected the isospin-dependent part in ,
[TABLE]
with the isospin index of the incoming, outgoing nucleon, respectively, and . We parametrize the tensor integral
[TABLE]
For the subsequent discussion we only need which for the case and reads111Note that here refers to space-time dimensions.
[TABLE]
The magnetic moment to one loop reads
[TABLE]
The isospin factor for the nucleon is
[TABLE]
Inserting the explicit expression for the loop integrals, e.g. Appendix B in Ref. Bernard:1995dp , we obtain
[TABLE]
which is the same result as in Ref. Hemmert et al. (1999). Thus we have shown that the magnetic moment is proportional to the derivative of the self-energy with respect to . Furthermore, we can rewrite
[TABLE]
This expression coincides with the integral of Eq. (8) from Ref. Beane (2004) (up to an irrelevant factor), with the kaon mass substituted for the pion mass. Thus the finite-volume corrections for the strange magnetic moment of the nucleon are of the same form as in Beane (2004), after substituting the kaon for the pion mass.
Appendix C Effective Mass
For convenience we show the effective mass of the nucleon for ensemble N200 at zero momentum in Fig. 7
Appendix D Tables
In this section we give the extracted form factors as well as the -expansion fits for the final result quoted in the main text.
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