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UFO type 1 dynamics studies using diamond beam loss monitors and blown-up bunches UFO type 1 dynamics studies using diamond beam loss monitors and blown-up bunches

UFO type 1 dynamics studies using diamond beam loss monitors and blown-up bunches - PowerPoint Presentation

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UFO type 1 dynamics studies using diamond beam loss monitors and blown-up bunches - PPT Presentation

M Väänänen B Lindström D Wollmann P Belanger CERN Technical meeting 25 April 2019 UFO observations in the LHC LHC first proton accelerator to suffer from their impact Still many unknowns impact expected to increase in future higher beam energy higher beam intensity ID: 791739

beam mika bunch nen mika beam nen bunch ufo losses loss blown blm lhc wire icblm type 5ms bunches

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Slide1

UFO type 1 dynamics studies using diamond beam loss monitors and blown-up bunches

M Väänänen, B Lindström, D Wollmann, P. BelangerCERN

Technical meeting – 25 April 2019

Slide2

UFO observations in the LHC

LHC first proton accelerator to suffer from their impact

Still many unknowns, impact expected to increase in future (higher beam energy, higher beam intensity...)

Mika Väänänen

2

Understanding their dynamics important

clue for employing countermeasures

Courtesy

A.

Lechner

Slide3

Beam-macroparticle interaction

Dust particle falls into beam (on assumption by gravity)Intense beam losses, duration ~1 msPremature beam dumps and superconducting magnet quenches-> up to 12 hours downtime!

Mika Väänänen

3

beam

UFO

e

-

e

-

+

beam losses

beam loss monitor (BLM)

+

Slide4

Beam Loss Monitors (BLM)

Mika Väänänen4

Collimator

beam

UFO

dBLM

ICBLM

Collimator

scattered protons

particle showers

Slide5

Mika Väänänen

5

Collimator

beam

UFO

dBLM

ICBLM

Collimator

scattered protons

particle showers

ICBLM:

Main beam loss monitoring system of LHC

40

m

s time resolution (half LHC turn)

dBLM

:

ns resolution (bunch-by-bunch, 25 ns)

Beam Loss Monitors (BLM)

Slide6

ICBLM:

Main beam loss monitoring system of LHC40 ms time resolution (half LHC turn)

dBLM:ns resolution, bunch-by-bunch

Beam Loss Monitors (BLM)

Mika Väänänen

6

Collimator

beam

UFO

dBLM

ICBLM

Collimator

scattered protons

particle showers

1 cm

2

Slide7

Wire-scanner: Thin carbon wire,

~30 µm, similar dimension and speed to UFOBeam losses detected by fast diamond BLM

UFO simulated using a Wire

7

Mika Väänänen

wire

beam

Slide8

Wire-scanner: Thin carbon wire,

~30 µm, similar dimension to UFOBeam losses detected by fast diamond BLM

8

Can study movement of matter intercepting the beam

Detected 7 turns earlier

Consecutive LHC turns

Mika Väänänen

wire

bunches

Using

blown-up

bunches

to

detect

plane

of

movement

Slide9

Mika Väänänen

9

Trigger

algorithm

for

new

readout

electronics

Recorded

12

events

with

the

trigger

Slide10

UFOs at end of run

2 proton physicsSpecial beam

configuration during ~3

weeks

of

normal

physics operationsIn non-colliding 12b train, two blown-up

bunches: one

horizontally, one vertically per

beamNumber of events during this

time

: 14

Confirmed

by existing UFO Buster: 7dBLMs only at IR7, UFO Buster triggers on spatial distribution -> differences in triggering3 at top energy, all

others at ramp 1096-4522 GeVMika Väänänen10

Slide11

Bunch-by-bunch

losses (30 Sep 2018)

Mika Väänänen

11

Slide12

Insight

into UFO dynamics

Mika Väänänen

12

Losses

proportional

to proton

density -> proton density depends

on location -> We can derive

location

of UFO!

Losses

BLM

Slide13

Location estimate based

on bunch by bunch losses

Mika Väänänen

13

Slide14

UFO simulation model

Physical model of beam-macroparticle interaction to study UFOsPartially validated against UFO type 1 events (temporal loss pattern, # inelastic collisions; assuming ~20-30 µm particles, Cu, C)

14

Mika Väänänen

Simulate

possible

trajectories

based

on

starting

position and

initial

chargeCompare ratio

of bunch losses to measurement

Slide15

Example simulation: charged

UFO with horizontal offset

Mika Väänänen

15

50 µm

carbon

particle

;

starting at (x0, y0) = (5.178, 5.333) mm; initial

charge

-2e-11 C

Slide16

Comparison of simulations and measurements

50 µm

carbon particle; starting

at (x0, y0) = (5.178, 5.333) mm;

initial

charge -2e-11 CBest correspondence between simulation and measurement

Mika Väänänen

16

Slide17

Integral ratio deviation

from measurement (WIP)

Mika Väänänen

17

Slide18

Conclusions

Successfully studied UFOs

with blown-up

bunches

,

during

normal physics operationNew triggering system allows detecting UFOs

with diamond BLMs

14 events were

recorded with blown-up bunchesStrong indication

of

partial

horizontal

movement in one eventUFO needs to be negatively pre-charged -> movement can’t be explained by gravity alone

Furthers our understanding of the release mechanism-> Work ongoing

Mika Väänänen

18

Slide19

Thank you!

Mika VäänänenMany thanks

to OP, J. Kral, D. Valuch

for

making

this study possible!19

Slide20

UFO types

Mika Väänänen

20

A.

Lechner

~ 1

ms

second phase ~3 to 100’s

ms

Type 1

Type 2

p+

solid nitrogen

nitrogen gas

beam

very fast beam instability develops

Slide21

UFO types

Type 1Traditional type, present since high-intensity operationsShort loss spike (~1 ms)SporadicAlong the entire length of the LHC

Type 2Present at specific magnet interconnect (16L2)

Hypothesis: caused by frozen nitrogen

macroparticle

Contamination of beam vacuum by air at 16L2 confirmed

Fastest observed beam instability in the LHCMika Väänänen

21

Slide22

Peak count trigger

Mika Väänänen 05/09/2018

22

5ms

5ms

Slide23

Trigger algorithm development

Developed in iterations

1. 3ms + 3ms, 9000 units, 10 peaks

9000 too high a threshold

2. 5ms + 5ms, 8500 units, 5 peaks

~200 triggers/day (~80GB of data); too sensitive

3. 5ms + 5ms, 8200 units, 100 peaks

~10 triggers/day; noticeably better efficiency

Mika Väänänen 05/09/2018

23

Slide24

icBLM

vs dBLM correlation (30

Sep 2018)

Mika Väänänen

24

ICBLMs

are

a trusted

systemDBLM signal integrated in 80 us

bins

correlates

well

with ICBLM data

Slide25

Turn

by turn, bunch

by bunch losses

(30

Sep

2018)

Mika Väänänen25

Elevated

losses in horizontally blown-up bunch

High

amplitude

, long

event

Best signal we had

Slide26

Turn

by turn, bunch

by bunch losses (17

Oct

2018)

Mika Väänänen

26

Elevated

losses in vertically blown-up bunch

Losses

in

other

bunches

very lowAt the limit of what we can observe

Slide27

Bunch

intensities

Mika Väänänen

27

Slide28

Possible locations in both

planesLocation based on losses

from horizontally blown-up

bunch

Location

based on

losses from vertically

blown-up bunch

Mika Väänänen

28

Slide29

Possible locations in both

planes

Mika Väänänen

29

Intersections

are

possible

UFO

locations