Introduction to Sparse Modeling
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http://sparse-modeling.jp
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vyno wzu https://alma-telescope.jp/news/press/eht-201904
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M=(6.5 0.7)x 10 9 Msun
eye sight
=3x10 6
Hisaaki Shinkai (OIT) 真貝寿明(大阪工大)
CTYR O bY :G PL]NS TYR 4 _ CPR]P TaP OPW
4C OPW
ringdown search 60 mockdata
L_NSPO fW_P]TYR TWMP]_ LY E]LY ] L_T Y
4 _ CPR]P T Y ?P_S O P ]LW P_b ]V P_S O
NVOL_L NSLWWPYRP N [L]T Y
Nakano+, PRD99 (2019) 124032
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- 5P PTN H H ]P O RPTLH M[TJ
L N
Z 1 = e (r j! ) t Z 2 = e (r+j ! ) t
x n = Ae rn t cos(! n t)
5 10 15 20 25 30
-0.6 -0.4 -0.2 0.2 0.4 0.6 0.8
5 10 15
-0.5 0.5 1.0
NLY MP L[[WTPO LW _ Y T d OL_L Md LO _TYR
4 _ CPR]P TaP OPW TOPL
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. 5P PTN H H ]P O RPTLH M[TJ
c bT 2[ N SL O
c bT 5 4 bTHR V L PJ P T L SL O c L J TY [J ]H L YPNTHR M S b L M[TJ P T c HVVR 55B ]P O H IP H V LJPYP T
V ]L YVLJ [S
4 _ CPR]P TaP OPW ?P_S O RPYP]LW
JOH HJ L PY PJ LW
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/
4 _ CPR]P TaP OPWia DS ]_ 99E
PR PY_ 1 ,* PN 1 ,* [ TY_
ST _ 1 ( PN 1 . [ TY_
]P B
4C
99E
8aPY ] S ]_ PR PY_
4C OPW S b []PNT P [ bP] [PN_]
FS JQ H H A @/( PTYVP HR VH G S _
BOL L JHT IL b L H f,
L [WTYR ]L_P1* /,
10
@PTN ]T ALH JO I 1[ @LN LYYP L 1VV HJO = = V[IRPJ H H 6 B JH HR N[L
GW150914
> :A [L[P]
4C OPW
( - YHSVRPTN H L ]P
) () 7 bR L
YLNSLT / ( YLJ/ ( V PT Y YOPM / ) YLJ / , V PT Y
LY ]O _T P
]P I e
k P]RP]
11
@PTN ]T ALH JO I 1[ @LN LYYP L 1VV HJO = = V[IRPJ H H 6 B JH HR N[L
Hanford (SNR=20.6)
GW150914
Livingston (SNR=14.2)
I e I e
4 D7I m e 4 D7I m e
_T P
I e I e
_T P
@PTN ]T ALH JO I 1[ @LN LYYP L 1VV HJO = = V[IRPJ H H 6 B JH HR N[L
Hanford (SNR=20.6)
L100_SpectrogramAR H100_SpectrogramAR
GW150914
Livingston (SNR=14.2)
>F [L[P]
4C LY ]O 4C >TaTYR _ Y
f220
= 271.8 Hz, f
221= 266.0 Hz, f
222= 254.7 Hz
f210= 380.7 Hz, f
211= 225.7 Hz, f
200= 252.8 Hz
f330= 430.9 Hz, f
331= 427.4 Hz, f
332= 421.1 Hz
f320= 387.9 Hz, f
310= 351.1 Hz, f
300= 320.3 Hz
M g :C VHVL g
>F [L[P]
4C LY ]O 4C >TaTYR _ Y
f̲real f̲imag
Mass Kerr
param
100 200 300 400 500 f_real(Hz)
20 40 60 80 100
f_imag(Hz) GW150914
20 40 60 80 100 Mass
0.2 0.4 0.6 0.8 1.0 Kerr parameter a
GW150914
source frame
detector frame
D[L] P OPWTYR xrqstpj TY_] O N_T Y
5 10 15 20 25
-1.0 -0.5 0.5
Sin[i Pi/5 + Pi/3]
1.0+ RandomReal[{-0.1, 0.1}]
5 10 15 20 25 30
-4 -2 2 4
5 10 15 20 25 30
-4 -2 2 4
5 10 15 20 25 30
-4 -2 2 4
25 pt data
fitting up to x^5 fitting up to x^10 fitting up to x^25
5 10 15 20 25 30
-4 -2 2 4
5 10 15 20 25 30
-4 -2 2 4
5 10 15 20 25 30
-4 -2 2 4
fitting up to x^5 fitting up to x^10 fitting up to x^25 fitting up to x^7
5 10 15 20 25 30
-4 -2 2 4
D[L] P OPWTYR xrqstpj TY_] O N_T Y
fitting the data with noise
=> we do not need a fitting function which passes all the data (overfitting, 過適合)
=> rather we should find a fitting as it has more zero-components D[L] P OPWTYR xrqstpj TY_] O N_T Y
data signal redundant dictionary
with many zero components
=> minimize
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,
[L] P 1 L NS eP] N [ YPY_
>4DDA WPL _ LM W _P S]TYVLRP LYO PWPN_T Y [P]L_ ]
>4DDA
l P]] ]
k > Y ] k > Y ]
ETM ST]LYT //,
D[L] P ? OPWTYR
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-
-6 -4 -2 2 4 6
-6 -4 -2 2 4 6
-6 -4 -2 2 4 6
-6 -4 -2 2 4 6
GSd > Y ] N Y _]LTY_ LVP [L] P W _T Y3
β 1 β 1
β 2 β 2
k > Y ] k >( Y ]
CTROP CPR]P T Y >4DDA
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.
>4DDA aL]TL_T Y
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]TRTYLW Y T PO
8cP]NT P T P CP aTYR
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( Y T PO
8cP]NT P T P CP aTYR
?PLY 5W ]
]P aP LWW NLWP Y T P > b BL fW_P]
8ORP T _SPO
S__[0 WLM PPN _ __ ]T LN [ O ?P MP] dL LOL A[PY6F S_ W [dK_ _ ]TLW [dKT R[] N [dKfW_P]TYR [dKfW_P]TYR S_ W
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((
Y T PO
8cP]NT P T P CP aTYR :L TLY 5W ]
6PY_P] NPWW T P [SL TePO
: O ] ]P aTYR bST_P Y T P
8ORP T _SPO
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() 8cP]NT P T P CP aTYR
>4DDA
S__[ 0 W[ _PNS YP_ L]_TNWP 6H(=Y
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(*
8cP]NT P T P CP aTYR
>4DDA
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( 8cP]NT P T P CP aTYR
E _LW FL]TL_T Y 5]PR LY _P]L_T Y
O VY. RV LJO TL H PJRLY Q 5 PL]
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(, 8cP]NT P T P CP aTYR
E _LW FL]TL_T Y 5]PR LY _P]L_T Y
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(-
]TRTYLW Y T PO
:L TLY >4DDA E _LW FL]TL_T Y
8cP]NT P T P CP aTYR
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(.
9T] _ LRP L MWLNV S WP 0 NPY_P] ?.-
vyno wzu https://alma-telescope.jp/news/press/eht-201904
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NWL TNLW LcT PY_] [d P_S O
Application plans of Sparse-Modeling to GW data analysis
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