id stringlengths 36 36 | text stringlengths 1 1k | source stringlengths 42 191 | page int64 0 1.03k |
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cf3faa10-7785-4afd-bc81-03b13f063508 | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
High Power GaN AMP in Series
1000
2200
1400The GaN HEMT SSPA prototype was
completed in Dec. 2022, every pellet is ~2 . 8k WC Wf r o mt w oc o m b i n e dtransistors. The full reflection withrandom phase was considered ... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 34 |
fea08030-0ff6-4169-bcc9-fbcf7304cb4b | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
Reliability by Hybrid Fault-Compensation
Compared with the normal condition:
RMS emittance growth < 15%
Output energy stability < 0.2%
Longitudinal envelope after compensation
Beam emittance and energy ev olution after... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 35 |
12c51aae-7647-41e7-985c-74db01b9394c | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
Reliability by Auto Recovery
• If Fault is a “Fast Recovered”, only the trigger signals
of chopper and FF are stopped. Accelerator is auto-
recovered.
• If Fault is a “Failure”, both the trigger signals and
chopper ar... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 36 |
24352f5e-abe7-4478-b65c-d525f353c94c | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
Auto Recovery Validated at CAFe
38020406080Trip Duration
74%
22%
4%
<10 s 10 s~5 min >5 min
RF
Ion
Source
VacuumPSCSTRIP SOURCE
AutoManualBEAM RECOVERY
0102030400～3
3～6
6～9
9～12
12～1515～1818～2121～24TRIP DURATION
0102001... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 37 |
1afb94f4-ff02-4520-86f7-98f176d6bed1 | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
Contents
•Climate change: humanity’s greatest challenge
•Problems of existing nuclear energy
•Why ADS is a solution to nuclear energy
•Challenges facing accelerator for ADS
•Project plan of CiADS
•Conclusion
39 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 38 |
7729bfe4-2169-4746-bdbf-5c2f636135c2 | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
CiADS Project
1ststage; accelerator bldg;
2022~2023
2ndstage; reactor and exp
bldg; 2023-2024
• T1: ADS Terminal, 10MW reactor, Keff0.75~0.96;
• T2: High power Target experimental Facility ；
• T3: μ experimental Facil... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 39 |
d574f912-27a7-4e3f-ba95-7c2dc79a5590 | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
Beam Dynam ics Optimization towar ds
High Power Operation and Industrialization
41
“Clean” high power beam from room temperature front end
interchangeable
All accelerating units (SC cavities + magnets) have the same
l... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 40 |
bbdd4841-5595-4e9b-b192-b71ab13d07ff | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
Subcritical Fast Reactor
Top level spec.
type LBE sub- FR
Power 10MWt (incl. beam)
fuel UO2 (19.75%)
Keff 0.75~0.96
Main coolant Configuration Pool-loop
Main coolant driven mode Forced circulation
Coolant LBE
Main coolan... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 41 |
499641c8-5ecf-4fb4-b55b-b8a8f45fa20d | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
Roadmap for High Power Spallation Target
• Reactor embedded installation, no beam window, liquid
metal cooling, length > 6m, diam eter < 0.5m, beam power ~2.5MW
• A 2.5 MW liquid lead-bismuth tar get operating in real r... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 42 |
57b762f9-6e03-454c-9b5b-d1e8888c987c | System equipment reliability and target thermal hydraulic testing.
Accelerator-target coupling technologies （beam scanning, collimating... ）
Validation of target window
The challenges of CiADS spallation target ：
43 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 42 |
e02724a0-04d6-461a-ab35-58e4409b5272 | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
2023.5.6
Reactor Hall
Experiment
Hall
Conventional
Facilities
Linac Tunnel is topping
Civil Construction of CiADS
44 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 43 |
c9739029-afcb-4406-81aa-e5bd3be11e33 | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
Full fuel online
Neutronic study of Subcritical Reactor
Operation study of Subcritical Reactor
LBE cooling demonstration with power
ADS systematic study
ADS operation key tech study
2.5MW beam test for accelerator... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 44 |
12cf656b-dee8-45f6-8359-da03a0adf9a6 | 3 Fuel Assemblies online
Accelerator stability study
Reactor stability study
Beam-target-reactor coupling
Low power test for fuels
Low power exp for reactor
ADS Coupling
Early Fuel test
•Accelerator 250kW
•Target 250kW
•Keff~0.5
•Reactor~30kW
2026～2027
Accelerator Commissioning
Target thermal study
Beam-target... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 44 |
c0f0cc16-9d51-4090-bb3e-cf30c63e3af8 | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
•Ptarget 250kW
•keff~0.96
•Ptarget2.5MW
•keff~0.75
Upgrade of reactor to 100 MW with all fuel bars inserted
The feasibility study of 241Am and 237Np transmutation
experiment will be carried out.
241Am transmutation sa... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 45 |
3c6a1bfb-8aff-4f89-bf25-488260bc4096 | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
Contents
•Climate change: humanity’s greatest challenge
•Problems of existing nuclear energy
•Why ADS is a solution to nuclear energy
•Challenges facing accelerator for ADS
•Project plan of CiADS
•Conclusion
47 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 46 |
d70576e2-b556-4ad8-a7ad-4ace0b56f5c2 | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
Conclusion
•ADS is a solution to multiple problems of the nuclear energy system. It will
also help to resolve climate change by reducing carbon emission.
•ADS is full of challenges. Fortunately, China (CiADS), EU (MYRRHA... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 47 |
87b71868-1c55-453b-939b-ea96fff36d55 | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
Acknowledgements
•Huan Jia, Xunchao Zhang, Hanjie Cai, Neng Pu, Xiaoqiang Wei, Xiaochong Zhu,
Jian Song, Fengfeng Wang, Zhijun Wang, Weiping Dou, Shuhui Liu, WeilongChen, Youxin Chen, Liepeng Sun, Wenqi Lv, Feng Yang, Y... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 48 |
0fcbd1e6-0e73-49ec-84fd-e863f42c3f35 | Accelerator Driven Systems - A Solution to Multiple Problems of Society, Yuan He, IPAC2023, Venice
50
Thank you for your attention ! | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG2_talk.pdf | 49 |
c90d61c2-2bd0-41d4-8d3e-3da047b55915 | Accelerators for Particle Physics
Beate Heinemann
DESY and Albert-Ludwigs-Universität Freiburg
1 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 0 |
c6910aa9-8a8a-4219-839a-982ab0c43954 | 2The Standard Model Lagrangian
gauge sector
νmass sectorHiggs sectorflavour sector
+ are there new particles and forces
(that solve some of the mysteries)? | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 1 |
4d8d1cf4-2f87-495b-a9b5-7ed36e3aa2bd | 4The Gauge Sector
gauge sector | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 2 |
e3d1184e-9cd6-4de3-a1df-0e03f9b000cf | The strong force, e.g. at ep colliders
Crucial measurements also at ee and pp colliders 5 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 3 |
3c93106e-f399-4496-bc9d-4ef0506d3d6a | Testing the Electroweak Force at LEP and SLD
6
The LEP Energy Working Group,
Eur. Phys. J. C 6, 187–223 (1999).
CERN courier | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 4 |
ca8d4faf-0363-47ff-8570-266ffac262a8 | Testing the Electroweak Force at LEP and SLD
7
CERN courier
LEP energy
calibration | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 5 |
88b2fc31-75c0-41fe-bdc4-92b44b4ce357 | Future Colliders
Giga-Z (at linear colliders) and Tera-Z (at circular colliders) will enable
major advance : Tera-Z will match precision on mHand mtop!
8
arXiv: 2211.11084arXiv: 1910.11775 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 6 |
8d0b1e47-3c0a-4b46-9158-849b34028319 | 9The Flavour Sector
flavour sector | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 7 |
47dbc065-8782-4639-b114-a7b6bc9ae157 | Why is Flavor so interesting?
B- and Kaon and Muon factories can
probe higher scales than the LHC!
10
Flavor is very bizarre! | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 8 |
74b4f531-829f-4d58-b5f3-2e4a2404117f | CP violation: B-factories and LHCb
11
BaBar at PEP II/SLAC
LHCb at LHC/CERNBelle II at SuperKEKB/KEK
𝐿ൌ4.65 ൈ 10ଷସcm-2s-1 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 9 |
19b33a3a-aacf-45c3-8a80-1cbeaf662bf7 | CKM triangle
12
*includes also results from LHCb
The CKM triangle closes | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 10 |
18da9da2-d966-4c0b-82ab-4205c465934d | Future perspectives
13
SuperKEKB luminosity projection | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 11 |
dc848a95-8db4-4854-8a63-3afaef3fcfb3 | 14The Neutrino Sector
neutrino sector | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 12 |
da6ab0ec-d7d3-4f8c-aa31-f23a6a05d677 | Neutrino Mixing
•Many questions
–What is the mass hierarchy?
–What are the masses?
–Is there CP violation in the
neutrino sector?
15 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 13 |
e3921dab-f28f-41de-a0f3-e517d74cec7a | Neutrino experiments at proton accelerators
16
J-PARC: 500 kW, distance to T2K: ~300 kmNUMI: up to 890 kW
Distance to NOvA: ~800 km | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 14 |
8b48d9b8-9e5d-4f60-9fc7-13606616f07a | Status of mass hierarchy and CP violation
•Normal mass ordering
preferred
–but inverted also allowed
•CP violation results
somewhat disagree between NOvA and T2K
17 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 15 |
fc3ce6ea-aad6-4644-ab4b-0f1fe8430446 | LBNF/DUNE and J-PARC/HyperKamiokande
LBNF/DUNE
•Phase 1: 1.2 MW beam
•Phase 2: 2 MW beam
18
First science: 2029
J-PARC/Hyperkamiokande
1.3 MW beam
First science: 2027 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 16 |
578cb78b-6b49-4f65-a285-894f545e8f73 | Neutrino Mixing
19
CP violation observation for normal ordering possible after about
5-10 years for 50% of 𝛿 values | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 17 |
9aeae1ad-9048-4d5e-af66-1dfbbc4f8491 | 20The Higgs Sector
Higgs sector | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 18 |
3176597d-0147-4581-a6dc-95859cd18e89 | Higgs Discovery at the LHC 2012
21 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 19 |
5c006969-e92d-4fa2-a1ec-02ded9a033a7 | LHC Luminosity
22
Number of pp interactions/crossing Integrated luminosity | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 20 |
c56b2c2d-e190-401a-bc25-8dbb394b527e | 23
Higgs: 2012 vs now
July 2012:
~10 fb-1
@7-8 TeV
Today:
~140 fb-1
@13 TeV | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 21 |
e1f5d500-1d52-4a74-bd9c-31abc53a90b2 | 24
Higgs: Coupling Constraints after Run 2 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 22 |
a92339f1-5864-4903-9bd1-651aa2aa6676 | Higgs is key to understanding our Universe!
25Graphic by Lian-Tao Wang | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 23 |
57dde6ca-8d95-4225-aeb4-0ccf801d2327 | (Some) Ideas for Future Higgs Factories
26
CLIC and FCC-ee
CEPCILC CCC
HALHF
B. Foster et al., arXiv: 2303.10150
& several
ERL
proposals | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 24 |
b5fb954f-88f7-4473-8703-f97b789e5b57 | 27
Higgs: Coupling Constraints: Future Colliders
•HL-LHC achieves 1-3% precision in most cases
•Would ideally like to know every coupling to ≪1% arXiv: 1905.03764 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 25 |
93ac03e1-9312-4196-b139-9e0753b4c12e | The electroweak phase transition
28
from Selya Ipek | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 26 |
1180ba24-8fea-490f-9f61-b4fd8ed62e4d | Electroweak potential
29Figures by G. ServantStandard Model
• Electroweak phase transition (EWPT)
is a “smooth crossover”
• Electroweak symmetry restored for
T≥TC=130 GeVAlternative idea
• Electroweak phase transition via
tunneling: 1storder transition
– Two phases co-exist
• Electroweak baryogenesis possible if
st... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 27 |
10cdeb6d-f53e-4730-b9d2-e5ef567490ea | Electroweak potential
30Figures by G. ServantStandard Model
• Electroweak phase transition (EWPT)
is a “smooth crossover”
• Electroweak symmetry restored for
T≥TC=130 GeVAlternative idea
• Electroweak phase transition via
tunneling: 1storder transition
– Two phases co-exist
• Electroweak baryogenesis possible if
st... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 28 |
3cf1bfa8-7885-42d5-a929-4964145be51a | Di-Higgs Production: LHC result
Constraints on κλ:
-0.4<κλ<6.3 at 95% CL
31𝜅ఒൌ𝜆𝜆ௌெൗ
Nathanial Craig𝜎ுு~𝜎ு
1000 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 29 |
8ea1477d-2019-42d5-bfbb-caab3ff516f7 | Di-Higgs Production: LHC result
32
Nathanial Craig
Nature could have any of these!!P. Meade | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 30 |
c7e0fef0-78d2-424c-89cc-a24ca04d526c | Sensitivity to κλ: future colliders
33 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 31 |
02d10e19-c2c7-48b4-ae79-7de86404665a | What might we learn about the H potential?
34
(or FCC-hh) Nathanial CraigΔ𝜅<5 % Δ𝜅<5 0 % | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 32 |
98bc47dc-f717-4212-acc9-c81399472f55 | 35
What about other particles, e.g.
dark matter?
?
c/o ESA | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 33 |
72c12b46-c800-4522-8f1e-869a7a3a8453 | Searches at the LHC
36 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 34 |
9a5d6ef4-67d0-49d8-8f72-bc2740caf54b | Future prospects on invisible H decays
•Major improvements compared to
current sensitivity of ~10%
–HL-LHC : <2.6%
–e+e- colliders: ~0.3%
–FCC-hh: ~0.025% (below SM value)
37
q
e+
q
e-_ | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 35 |
96a8971a-3131-499e-86c5-0f1e204faaaf | Future prospects on invisible H decays
Remain competetive with
direct detection experiments (e.g. DARWIN)
38
qe+
q
e-_ | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 36 |
c3909fff-6173-4e22-93a8-3b593794f19a | The simplest kind of WIMP Dark Matter
39
Difficult to test in underground direct
detection experiments
Simplest supersymmetry scenarios predict “Wino” or “Higgsino” with masses > 1 TeV | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 37 |
a2d711c3-d688-4450-9143-f4aef1f35a87 | The simplest kind of WIMP Dark Matter
40
Need parton energy >> 1 TeV!! | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 38 |
d75917f1-f89c-4688-a865-c63f53030bae | Summary: so… what do we need?
41
e+e- collider with
𝐸𝑚௧
Multi-TeV collider with
𝐸≫0.5 𝑇𝑒𝑉
Low-energy beams
& targets with
>1 MW power
+ new terms | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 39 |
101fde55-8958-476e-8d5c-1996a32f48e7 | 42
e+e- collider with
𝐸𝑚௧
Multi-TeV collider with
𝐸≫0.5 𝑇𝑒𝑉
Low-energy beams
& targets with
>1 MW power
+ new terms
Affordable &
sustainable
accelerators! Summary: so… what do we need? | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\FRYG - Friday Plenary\FRYG3_talk.pdf | 40 |
586ff6cb-d17a-4e0f-a62e-30808824af6b | TIME-DRIFT AWARE RF OPTIMIZATION WITH MACHINE LEARNING
TECHNIQUES∗
R. Sharankova†, M. Mwaniki, K. Seiya, M. Wesley
Fermi National Accelerator Laboratory, Batavia, IL 60510, USA
Abstract
TheFermilabLinacdelivers400MeVH-beamtotherest
oftheacceleratorchain. Providingstableintensity,energy,
andemittanceiskeysinceitdirectly... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 0 |
3b7d46c0-f978-4e88-949a-f54bc8218bc2 | subject to fluctuations. Such drift is not unique to Fermi-
lab,butratheraffectsmostlaboratories. Weareexploring
machinelearning (ML)algorithmsforautomated RF tuning
for 2 objectives: optimization of Linac output energy and
phase oscillation correction, with an emphasis on time-drift
aware modeling that can account for... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 0 |
d2245bfc-4463-4cea-8859-a2020d4486f5 | modules with 448 total cells, operating at 805 MHz. The
transition section consists of a buncher and a vernier cavity
for longitudinal matching between the DTL and the SCL.
Duringregularoperations,theLinacdeliversroughly25mA
at 35𝜇s pulse length with transition efficiency ≥92%.
LINAC RF & LLRF
DTL RF field amplitude i... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 0 |
d5c418d1-df96-46fb-bb6e-b0424c1b6e3d | ∗ThismaterialisbaseduponworksupportedbytheU.S.Departmentof
Energy, Office of Science, Office of High Energy Physics, under contract
number DE-AC02-07CH11359.
†rshara01@fnal.govLINAC DAILY TUNING
StableLinacoutputiscrucialfordownstreammachines.
Driftingresonancefrequenciesoftheacceleratingcavities
and fluctuations in th... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 0 |
c82be7d3-d007-4a56-9f55-61c2a7225fc8 | cannot optimize in multi-dimensional space, but rather scan
parametersonebyone makingitdifficulttoensurethesys-
tem has reached a global optimum. Tuning is limited by
personnelavailability,ratherthandonewhenLinaccondi-
tionschange. Toresolvethesechallenges,weareworking
towardsautomatingthetuningprocedureusingML-based
a... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 0 |
a19ad075-8d81-480e-9d24-9b8e3e09db41 | tominimizelossindownstreammachines. Indailytuning
Figure 1: Change in Linac output energy as a function of
SCL7 RF phase change (simulation).
Linac output energy is optimized by hand-scanning the RF
cavity phase of the last Linac cavity, SCL7. Figure 1 shows | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 0 |
248b5604-129a-42c5-8d75-970398234b95 | in simulation how output energy changes as a function of
cavity phase change.
Fluctuations in the output energy can be measured using
beam position monitor (BPM) data in the transfer line from
LinactoBoosterwheretherearenoacceleratingelements,
only focusing and bending, and beam is drifting. Using the
correlation betwe... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 1 |
d60e913e-c0c5-4832-978d-631107add2a2 | asRFcavityresponse. Itwasobservedthatresponseis not
constant, but rather drifts with time, as shown in Figure 2 in
terms of HPQ4 data. It is clear output energy depends on
beam input energy at cavity entrance.
Figure 2: Beam horizontal position deviation at location
HPQ4asafunctionofSCL7RFphase. Lightbluetraceis
data f... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 1 |
eab7c41a-4a91-4720-81ac-7c8c4f21ddf6 | to obtain baseline response. Next, the input phase-space
dependenceoftheRFcavityresponsewasmodeledusing
simulation. Beam phase-space at the entrance of SCL7 is
painted around the baseline as shown in Figure 3 (left) to
cover all possible daily fluctuations, and phase-space at cav-
ity exit is simulated (same Figure on ... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 1 |
1960c37e-0971-444d-91b5-031207eca725 | learning rate of 0.001 and a custom rate decay scheduler.
The network was trained on a sample of 1200 simulated
examples for 20 epochs.
The trained model can be used on data to correct out-
put energy daily drift by computing the relative differences
w.r.t. the reference dataset. Input and output phases are
measured wi... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 1 |
26435264-f2dc-4ab2-9565-1b868bd35016 | The effect of the RF phase correction on BPM horizontal
positions at HPQ3, HPQ4 and HPQ5 is shown in Figure 4.
Figure 4: Effect of energy correction on beam horizontal
positions at HPQ3, HPQ4 and HPQ5 locations.
It is clear the correction brings all horizontal positions
closer to the reference. However one can see that... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 1 |
4df11d6e-d1d0-48c4-a7ab-b2810a98cf42 | dispersionfactorsor horizontaldisplacements. Theformer
are simulated assuming ideal beam trajectory and design
bendingmagnetfieldstrengths,andarethussusceptibleto
fluctuations in magnet currents and beam transverse mo-
tion. ThelatterareaffectedbytheintrinsicnoiseonBPM
positions of≈0.1mm [6]. Nevertheless, the correcti... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 2 |
434d66fe-c483-4702-963f-12e0da40feea | eters.
Fromsimulationweexpect ∼7synchrotronoscillations
in DTL, however there are only 5 BPMs in DTL, starting at
DTL2exit. Duetolackofsufficientinstrumentationinthe
pre-accelerator and DTL, we cannot determine where the
oscillations starts. However we have robust instrumentation
coverageintheSCL,whichallowsustomeasure... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 2 |
486636de-624a-45b4-bdf7-a2e4add47ea5 | painted by a 2D RF phase scan of the two cavities.
We developed a ML-based phase oscillation correction
scheme basedon the above principle. First, a2D RF phase
scan of DTL2 and DTL5 cavities was performed and BPM
phase data was recorded. Then a fully-connected DNN was
trainedtoreconstructDTL2andDTL5RFphasefromthe
phase... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 2 |
ca28ef05-df3e-46bb-bb40-4c25a99d88ec | wastrainedonasampleof910dataexamplesfor600epochs.
The model’s ability to reconstruct arbitrary phase oscilla-
tion patterns by a combination of DTL and DTL5 RF phase
shifts wastested ondataset fromDec 142022 wherebeam
phaseatLinacentranceisintentionallychangedbydifferent
magnitude. Several examples of model performance... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 2 |
abad704d-9db7-4fd0-83fc-a33545b72f9f | oped ML algorithms for two RF optimization objectives:
Linac output energy control, and Linac phase oscillation
correction. Preliminary results for both approaches are very
promising. Futureworkincludes testingof differentneural
networktypestocompareperformance,andtestingmodel
prediction in real-time in the accelerator... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 2 |
aa150935-1da3-49e3-b73c-1c44fcb026be | REFERENCES
[1]T.A.Butler,F.G.Garcia,M.R.Kufer,H.Pfeffer,andD.Wolff,
“Design of aMarx-TopologyModulator for FNAL Linac”, in
Proc. IPAC’15 , Richmond, VA, USA, May 2015, pp. 3306–
3308. doi:10.18429/JACoW-IPAC2015-WEPTY020
[2]J. F. Patrick, “The Fermilab Accelerator Control System”,
inProc. IPAC’06 ,Chamonix,Switzerland,... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 3 |
030c516c-bb03-4b01-bb0d-0d7b4003555b | 48550/arXiv.1603.04467
[6]E.McCrory,N.Eddy,F.G.Garcia,S.Hansen,T.Kiperand
M. Sliczniak, “BPM Electronics Upgrade for the Fermilab
H- Linac Based Upon Custom Downconverter Electronics”,
FERMILAB-CONF-13-447-AD. | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD1.pdf | 3 |
d7999d30-2ae8-4385-843c-cc1b75601b39 | Intelligent Online Optimization in
X-ray Free-electron Lasers
Zihan Zhu, Meng Cai, Nanshun Huang, Feng Chao
Shanghai Institute of Applied Physics, CAS
Shanghai Advanced Research Institute, CAS
IPAC23 Venice, Italy, May 8 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 0 |
0e3ed022-1f56-47f5-99e0-f51573c80f30 | 2Outline
Online tuning and optimization in XFELs
Machine learning applications
Surrogate model construction for optics matching in XFEL injector
Reinforcement learning for improving the FEL lasing performance
Robust framework development in the control room
Conclusion | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 1 |
fbe208c3-6f0f-42a5-9e1d-de527f529d63 | 3Outline
Online tuning and optimization in XFELs
Machine learning applications
Surrogate model construction for optics matching in XFEL injector
Reinforcement learning for improving the FEL lasing performance
Robust framework development in the control room
Conclusion | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 2 |
e1e0f1df-4b9f-4fe5-aea9-965d8bda20ae | 4X-ray Free-Electron Lasers
XFELs provide the ultra-fast and high-intensity X-ray pulses for scientific researches.
C. Gisriel, et al. Nat Commun 10,
5021 (2019).
Protein microcrystalfirst membrane protein
megahertz serial femtosecond
crystallography experiment
P. Wernet, et al. Nature 520, 78–81 (2015).
Coordinat... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 3 |
c6392ee5-607c-48cf-a178-af86b40666df | 5Online tuning and optimization in XFELs
Efficient tuning strategy development for:
Beam properties customization
Fast switch between different setups
Stable FEL output performance
Injector
Laser
HeaterL1 L2 L3 BC1 BC2
Specific FEL configuration Beam generation, propagation, manipulation
Challenges in tuning t... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 4 |
b4987234-2cd1-4ed5-a865-c64ba60d3411 | Surrogate model
6Online tuning and optimization in XFELs
Efficient tuning strategy development for:
Beam properties customization
Fast switch between different setups
Stable FEL output performance
Injector
Laser
HeaterL1 L2 L3 BC1 BC2
Specific FEL configuration Beam generation, propagation, manipulation
Challe... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 5 |
75f898f3-ee98-4479-aea5-1dcc722f4e67 | 7Outline
Online tuning and optimization in XFELs
Machine learning applications
Surrogate model construction for optics matching in XFEL injector
Reinforcement learning for improving the FEL lasing performance
Robust framework development in the control room
Conclusion | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 6 |
7e013c59-6aff-4fe5-8deb-09b3984f3734 | smaller emittance and no mismatchsame emittance with mismatch
Motivation
Optics matching in the injector is essential to machine
operation
Downstream beam transport
FEL lasing performance
Mismatch: beam distribution does not have the same
orientation as the design optics
Existing tool deploys the linear optics m... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 7 |
c758290c-7c63-4982-a45a-9ba0eb34a41c | Initial point
Twiss parameter:
x𝒊, y𝒊, βx𝒊, βy𝒊Reference point
Twiss parameter:
x𝒓, y𝒓, βx𝒓, βy𝒓Quad.37.I1Quad.38.I1
Quad.46.I1Quad.47.I1
Quad.50.I1
Matching quadrupoles
Surrogate model construction
Input parameters:
Initial Twiss parameters:
x𝒊, y𝒊, βx𝒊, βy𝒊
Matching quads settings:
Q37.k1, Q38.... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 8 |
f3a6979e-bea8-4af8-b7e0-e8aa7eacdc96 | Initial point
Twiss parameter:
x𝒊, y𝒊, βx𝒊, βy𝒊Reference point
Twiss parameter:
x𝒓, y𝒓, βx𝒓, βy𝒓Quad.37.I1Quad.38.I1
Quad.46.I1Quad.47.I1
Quad.50.I1
Matching quadrupoles
Surrogate model construction
10
Zihan Zhu, Sergey Tomi n, et al. In preparation | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 9 |
33555eec-0ec8-406d-b126-31d8c069e169 | 11Test procedure in BKR
x𝒊,y𝒊,βx𝒊,βy𝒊measurement
Surrogate model
OCELOT simulationx𝒓,y𝒓,βx𝒓,βy𝒓
Reference valuesIf not matched, iteration continues
Q37.k1 Q38.k1 Q46.k1 Q47.k1 Q50.k1
Surrogate model
Q37.k1 Q38.k1 Q46.k1 Q47.k1 Q50.k1
Optics measurement
x𝒓,y𝒓,βx𝒓,βy𝒓 x𝒓,y𝒓,βx𝒓,βy𝒓x𝒓
y𝒓
βx𝒓
β... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 10 |
147cfd42-c8a6-4a55-a66a-e3ce73b75309 | Asymmetry between
the transverse planes
12Experimental demonstration
CASE1: Solenoid current of 344 A (nominated strength)
Mismatch parameters evolution
Taking 2 steps to achieve
good matching condition
BMAG_X: 1.012BMAG_Y: 1.044Initial beam optics function values evolution
Zihan Zhu, Sergey Tomi n, et al. In prep... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 11 |
d58957f0-c626-4961-bd50-63361fa80db2 | 13Experimental demonstration
CASE2: Solenoid current of 344.5 A
Mismatch parameters evolution Initial beam optics function values evolution
Zihan Zhu, Sergey Tomi n, et al. In preparation
Surrogate model can navigate the quadrupoles
settings to match the beam
Prediction of initial beam optics is important for
o... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 12 |
49c8dc59-6d58-4dce-b078-dd06b36d5d3a | 14Application to online diagnostics
Zihan Zhu , Sergey Tomin, et al. IPAC22, MOPOTK013Collection of all the optics measurement data in BKR from
08/01/2022 to 21/02/2022 (189 samples in total)
Prediction of initial Twiss parameters from each samples
Set-up the machine
after shutdownBeam delivery,
SASE2 tuningGun
s... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 13 |
af464140-6e7b-4608-84e0-ae240b18fc8d | 15Outline
Online tuning and optimization in XFELs
Machine learning applications
Surrogate model construction for optics matching in XFEL injector
Reinforcement learning for improving the FEL lasing performance
Robust framework development in the control room
Conclusion | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 14 |
48a2b83b-d06a-457e-ba7a-617632619fde | 16Reinforcement learning
Plentiful applications in industrial automation:
robotics, gaming, marketing, image processing, etc.
Main strengths of Model-free reinforcement learning:
Learn by sequential actions without no prior
knowledge of the environment
Ability to learn from experience
Silver, David, et al. Nature... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 15 |
9e38aa60-a6f8-41f0-b0de-02c8c45cad57 | 17Shanghai Soft X-ray Free-Electron Laser Facility
User facility is upgraded to increase beam ener gy to 1.5 GeV for building two undulator
lines with 5 experimental stations in the water window region.
Seeding line SASE line
1.5 1.5 Beam energy/GeV
3 nm 2 nm FEL wavelength/nm
100 - 200 100-300 FEL pulse/fs
>100 >100 ... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 16 |
ba07db44-98f1-4b3d-ab25-bb870561c633 | 18Demonstration from FEL simulation
Layout of the SXFEL-UF undulator section
（Xbeam, Ybeam)
0.12-0.15 mmO
A transverse offset was introduced at the entrance of undulator section.
Meng Cai, Zihan Zhu, et al. IPAC22, TUPOPT013
Twin Delayed Deep Deterministic Policy Gradient (TD3)
Overestimation bias
in the learning ... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 17 |
ee9deaed-dc75-404d-8b93-09870e9c196f | The Kullback-Leibler (KL) divergence of two
continuous probability distributions:
The lower bound function of the
parametrized stochastic policy:
19Proximal Policy Optimization (PPO)
An extension to the Trust Region Policy Optimization (TRPO)
Performance on simulation:
Meng Cai, Lu Cao, et al. IPAC23, TUPL073 | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 18 |
d847fb67-339d-4e4c-a880-42ccf0e7d1c7 | 20Proximal Policy Optimization (PPO)
Experimental demonstration at SXFEL user facility:
7 sets of correctors (both horizontal and vertical)
Experimental demonstration at SXFEL user facility
After
optimizationPlease visit poster
TUPL073 for more detail
courtesy of Meng Cai | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 19 |
1bafc2c0-adea-4c58-9283-474bf4d4d7df | 21Outline
Online tuning and optimization in XFELs
Machine learning applications
Surrogate model construction for optics matching in XFEL injector
Reinforcement learning for improving the FEL lasing performance
Robust framework development in the control room
Conclusion | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 20 |
a6a2a399-8551-467a-a19e-99029884b270 | 22Online optimization framework
Requirements on the tuning framework in the control room in XFELs
Friendly interactive interface
Flexibility to customize
Easy access to HPC servers
tuning knobsGeneral FEL optimization @ SXFEL is under development
objectives
algorithmsLive optimization result
Existing framework in... | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 21 |
801c9ec7-38ce-484d-b786-787963ddb557 | 23Online optimization at SXFEL
Validity test in the control room
Improving FEL lasing intensity
Testing various optimization algorithms
Challenges for online tuning and control
Lasing output often decays with time
Periodic jitters is hard to eliminatecourtesy of Nanshun Huang
H
V11 pm ~ 6 am | d:\Daily_ihep\Weekly Progress Report\20260425\41_IPAC'23\MOOD - MC06.1 - Beam Instrumentation, Controls, Feedback & Operational Aspects (Contributed)\MOOD2_talk.pdf | 22 |
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