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Electron cloud simulations for the SIS18 and SIS100/300

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Session C: Surface Properties, Measurements and Treatments ... modification by incident electrons (desorption, carburization, oxidation, damage) ... – PowerPoint PPT presentation

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Title: Electron cloud simulations for the SIS18 and SIS100/300


1
ECLOUD04 Schedule and Agenda Tuesday April 20,
2004 Session C Surface Properties, Measurements
and Treatments (Chair, M. Pivi Secretary, F. Le
Pimpec) 0800-0830 Vacuum and electron cloud
issues at the GSI present

and future facilities (30)
G. Rumolo, GSI 0830-0900 Surface
related properties as an essential ingredient


to e-cloud simulations (30) R. Cimino,
LNF-INFN 0900-930 Instrumental Effects in
Secondary Electron Yield

and Energy Distribution
Measurements (30) R. Kirby, SLAC 0930-1000
SEY and electron cloud build-up with NEG
materials (30) A. Rossi, CERN

1000-1030 BREAK 1030-1100 Design and
Implementation of SNS Accumulator Ring Vacuum

System with Suppression of
Electron Cloud Instability (30) H. Hseuh,
BNL 1100-1130 Experimental Results of a LHC
Type Cryogenic Vacuum System

Subjected to an Electron Cloud (30)
V. Baglin, CERN 1130-1150 Suppression of
the effective SEY for agrooved metal surface (20)

G. Stupakov,
SLAC 1150-1230 DISCUSSION (40)
Summary
2
Vacuum and electron cloud issues at the GSI
present and future facilitiesGiovanni Rumolo,O.
Boine-Frankenheim, I. Hofmann, E. Mustafin
  • Overview on the GSI existing machines and the
    future International Accelerator Project
  • Vacuum requirements and beam life time due to the
    dynamic vacuum
  • Measurements of the ion desorption yield
  • The e-cloud in the SIS18 and SIS100/300
    thresholds for build up and instability
  • Conclusions and outlook

3
Summarizing (I) Is vacuum a serious concern for
the GSI future project ? Yes
  • The number of U28 that we can inject into the
    SIS18 is limited by a vacuum instability driven
    by ion losses (Ion Stimulated Desorption)
  • Presently the threshold is still well below the
    goal value of 2.5 x 1011 required to inject 1012
    U28 into the SIS100
  • Studies of coating efficiency and/or collimators
    as possible solutions are still in progress and
    need to be more conclusive
  • The use of U73 is also considered as a possible
    alternative, even if the intensity would be lower
    due to space charge

TiZrV NEG coating of one superperiod, next
shutdown
4
  • E-cloud build up with 4 bunches in a field-free
    region (left) and in a dipole (right)
  • The threshold for the build up is 2.1 in
    field-free and 1.9 in a dipole
  • Saturation values are in the order of 1011
    e-/m3, enough to cause beam instability
  • Cimino-Collins parametrization for elastic
    reflection used.

5
It is interesting to show how the recently
proposed parametrization for elastically
reflected electrons makes a significant
difference in the predictions of electron cloud
build up.
Can low energy electrons affect high energy
physics accelerators ? R. Cimino, I. Collins, et
al. accepted for publication in Phis. Rev. Letters
6
Summarizing (II) can electron cloud harm the
performance of GSI machines ?
  • SIS18 could suffer from electron cloud when
    upgraded to become an injector for SIS100.
  • The threshold for e-cloud formation is rather
    high (dmax2.1), thus it can be relatively easy
    to have an inner pipe wall with a SEY below this
    value.
  • In the SIS100/300, too, the threshold for e-cloud
    formation is quite high, especially for smaller
    chamber radii.
  • Due to beam loss, there might be accumulation of
    electrons up to relatively high densities.
  • Both in SIS18 and SIS100/300 thresholds are lower
    in dipoles.

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9
SPS
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11
Surface related properties as an essential
ingredient to e-cloud simulations.
  • R. Cimino
  • LNF-INFN Frascati (Roma) Italy.
  • The e- cloud problem a SS-oriented review.
  • Surface science techniques to provide input
    parameters.
  • Some selected results
  • Future work and implications

ECLOUD04, Napa, April 19-23, 04.
11
R. Cimino
12
Measure of Secondary e- YIELD
  • Each single point in a DELTA plot gives the total
    number of electrons emitted at a give primary
    energy.

The energy distribution of such emitted electrons
is important for the simulations.
R. Cimino et al Phys. Rev. Lett. in print
ECLOUD04, Napa, April 19-23, 04.
12
R. Cimino
13
What has been measured on f.s. Cu
  • Energy Distribution Curves as function of Ep

Ep11 eV
Ep3.7eV
Secondaries
Kin. En. (eV)
Kin. En. (eV)
R. Cimino et al Phys. Rev. Lett. in print
ECLOUD04, Napa, April 19-23, 04.
13
R. Cimino
14
Simulated average heat load in an LHC DM as a
function of Nb, considering the elastic
reflection (dashed line) or ignoring it (full
line)
Calculation done extrapolating measured SEY to
dM1.7 EM240 eV
R. Cimino et al Phys. Rev. Lett. in print
ECLOUD04, Napa, April 19-23, 04.
14
R. Cimino
15
Implication
  • Low energy electrons have a long survival time
    (in agreement with observation on PSR at LANL).
  • In FELs a low repetition rate is supposed to
    ensure no e- cloud problems. BIEM has to be
    considered.
  • BIEM simulations need to be updated for the LHC
    and other machines.
  • Reflected el. are NOT absorbed and do not
    directly contribute to heat load !!!
  • However they will be accelerated by the following
    bunches, gaining energy to be deposited on the
    LHC BS.

ECLOUD04, Napa, April 19-23, 04.
15
R. Cimino
16
Instrumental Effects in Secondary Electron Yield
and Energy Distribution Measurements
SLAC-PUB- April 20, 2004
  • Robert E. Kirby
  • Physical Electronics Group
  • The Stanford Linear Accelerator Center
  • Stanford University, Stanford, CA 94309

Work supported by the U.S.
Department of Energy under contract number
DE-AC03-76SF00515 (SLAC).
Presented at the 31st ICFA Advanced Beam
Dynamics Workshop on Electron-Cloud Effects,
April 19- 23, 2004, Napa,
Ca.
17
Effects
  • Secondary primary electrons generated inside
    the source
  • Secondary electrons generated inside detector or
    from chamber
  • Surface modification by incident electrons
    (desorption, carburization, oxidation, damage)
  • Substrate effects
  • Near-zero energy

18
SEY Measurement - RFA
Strengths Angular, energy distribution
measurements possible Weaknesses
Grid/collimator tertiaries, gun space charge
19
Secondary Primary Electrons
Electron-gun Anode
20
RFA Tertiary Electrons
From J.A. Cross, J.Phys.D6, 622 (1973)
Inner grid
Collector Current
Secondary Energy (eV)
21
Substrate Effect
22
Primary Electron Range (TiN)(All axes in
angstroms)
? 0o
? 83o
Ep 500 eV
23

Yield From Sputtered (But Disordered) Surfaces
SEY may go to 1 because of the difference
between the work function of the e- gun-cathode
and the target repel primary e- beam
24
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26
Rely on scrubbing to decrease SEY
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29
Experimental Results of a LHC Type Cryogenic
Vacuum System
V. Baglin, B. Jenninger
CERN AT-VAC, Geneva
  • 1. Introduction
  • LHC Electron Cloud
  • LHC cryogenic vacuum system
  • 2. Electron cloud in a cryogenic environment
  • COLDEX set up
  • Long term beam circulation
  • Condensed gas
  • Operating temperature / filling parameters /
    comparison with other detectors
  • 3. Some implications for the LHC
  • Scrubbing period (pressure/heat load)
  • Cooling / filling schemes
  • Beam screens warming up against quench and end
    effects
  • 4. Conclusions and future work

30
2. Electron cloud in a cryogenic environment 2.1
COLDEX set-up (1) Field free region (SPS Long
straight section 4), closed geometry, 2.2 m
long Pressure gas composition measurements,
heat load measurement (temperature, flow)
BS from 5 to 150 K CB from 2 to 5 K
31
  • 2.2 Long term beam circulation (3) heat load
  • Scrubbing run 2003 12 A.h
  • Normalised to 4 batches with 1.1 1011
    protons/bunch, 95 duty cycle
  • Heat load (HL) onto the BS is decreasing with
    electron dose beam conditioning
  • Final heat load 1.5 W/m
  • HL 1.9 exp(-D/70)
  • Electron dose 20 mC/mm2
  • for estimated lt85gt eV

BS 13 K CB 3 K
32
2.2 Long term beam circulation (5) Comparison
to ECLOUD simulations Courtesy of D. Schulte and
F. Zimmermann
The heat load observed in COLDEX and WAMPAC 3
during the 2003 scrubbing run is compatible with
?max 1.2 - 1.3
Reasonable agreement between simulations and
experiments
Measurements Simulation with ?max 1.3
Heat load 1.6 W/m 1.6 W/m
Current 17 mA/m 3 mA/m
ltEgt 85 eV 100 eV
Fraction gt30 eV n.a 70
Dose 20 mC/mm2 10 mC/mm2
?max 1.1 1.2
Disagreement !
V. Baglin et al. Chamonix 2001
33
  • 3. Some implications to the LHC
  • 3.1 Scrubbing period (1) heat load
  • Conditioning exist ONLY when an electron cloud
    is present
  • Dedicated period are required to perform the
    conditioning
  • Conditioning shall be performed at injection (
    1.5 W/m available)
  • Conditioning might be lost, over-conditioning
    would be helpful
  • Rough estimate
  • Based on the previous fit, HL 1.9 exp(-D/70),
    and assuming that 1.5 W/m could be dissipated
    onto the BS, a dose of 200 A.h would be required
    to reduce the dissipated heat load at nominal
    current to 1 W/m

34
  • 2.5 Filling parameters
  • 75 ns bunch separation
  • A single MD in 2003
  • Preliminary result indicates a reduction of the
    dissipated heat load by at least a factor 2
  • More studies this year
  • Effect of number of batches and bunch current
  • During scrubbing run 2002
  • consecutives batches separated by 225 ns, 95
    duty cycle, 4 ns bunch length
  • At nominal bunch current heat load
  • proportional to the number of batches
  • i.e. few bunches are required to
  • equilibrate the electron cloud
  • Threshold at 4 1010 protons/bunch

Simulations for LHC indicate that increasing
bunch spacing helps reducing the heat load
BS and CB increase to 20 K. Measured from 50 to
75 h
Nominal
35
  • 4. Conclusions future work
  • In the SPS, the electron cloud stimulates
    molecular desorption 10-7 to 10-6 Torr
  • A vacuum cleaning is observed at cryogenic
    temperature
  • The dynamic pressure is initially dominated by
    H2, then by H2 and CO
  • In the SPS, a significant heat load is observed
    at cryogenic temperature 2 W/m
  • A conditioning is observed at cryogenic
    temperature (is ?max 1.2-1.3 in COLDEX ?)
  • BUT , for LHC, other means to reduce the
    electron cloud shall be studied and be validated
    in existing machines
  • COLDEX observations are in a rather good
    agreement with the ECLOUD code
  • Thick layers of condensed gas induce large heat
    load (up to 8 W/m) and vacuum transients which
    have consequences onto the LHC design and
    operation
  • More laboratory and machine data related to beam
    conditioning and condensed gases are required to
    benchmark the codes and predict more accurately
    the LHC behaviour
  • The operation with the LHC requires a deep
    understanding of the electron cloud phenomena to
    control the radiation level, the emittance blow
    up and the vacuum life times

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39
Should check angular emission of secondary
emitted electrons in presence of strong external
field (cosine distribution ?!)
40
1 mm
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42
A.A.Krasnov, BINP, Novosibirsk, Russia,
sent a contribution presented
by Frank Zimmermann
Effective secondary electron emission from
toothed surface.
Figure 2. The suppression of the secondary
electron emission by the toothed surface. Solid
curve without magnetic field. Dotted curve with
magnetic field.
?!
1.     J.Kawata, K.Ohya, K.Nishimura, Simulation
of secondary electron emission from rough
surfaces, Journal of Nuclear Materials 220-222
(1995) pp.997-1000. 2.     V.Baglin, J.Bojko,
O.Gröbner, B.Henrist, N.Hilleret, C.Scheuerlein
and M.Taborelli, The secondary electron yield of
technical materials and its variation with
surface treatments, Proceedings of EPAC 2000,
Vienna, Austria.
43
Thin film coating and a few SEY results F. Le
Pimpec SLAC \ NLC R. Kirby, F. King, M. Pivi
Napa Valley, California, April 2004

44
SEY Ti30Zr18V52 NEG after different process
45
Summarizing the Summary ...
  • Threshold for ecloud is quite high in future
    SIS100/300 at GSI
  • Evidence in SPS that TiZrV NEG coating will
    limit cloud build-up
  • CERN SEY measurements indicate high e-
    reflectivity, implicating larger e- cloud
    densities than previously estimated
  • Instrumental effects and artifacts in SEY
    measurements may cause misleading results
  • Extensive remedies applied to prevent cloud
    build up in SNS
  • Electron cloud heat loads and e- conditioning
    measured at cold temperature in CERN SPS,
    consistent with simulations
  • Promising studies and measurements on groove
    surface design aiming to reduce SEY
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