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相関雑音除去に基づくミリ波サブミリ波 分光のための周波数変調観測手法の開発 / FMLO 2018-01-09

相関雑音除去に基づくミリ波サブミリ波 分光のための周波数変調観測手法の開発 / FMLO 2018-01-09

Akio Taniguchi

January 09, 2018
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  1. ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ Akio Taniguchi / 40 2018.01.09 2 Contents Introduction and

    objectives of this study Development and verification of FMLO's signal processing Discussion and conclusions Science demonstration of FMLO method • αϒϛϦ೾෼ޫ؍ଌͷ՝୊఺ • ૬ؔࡶԻআڈʹجͮ͘෼ޫ؍ଌͷಋೖ • ຊݚڀͷ໨తͱ৽نੑʹ͍ͭͯ • ؍ଌํఔࣜͷهड़ͱ৴߸ॲཧͷ՝୊఺ • ͜ΕΛղܾ͢Δ৴߸ॲཧͷ։ൃͱ࣮ূ • ৴߸ॲཧʹج࣮ͮ͘ఱମ৴߸ͷ؍ଌ • ैདྷख๏ͱͷແໃ६ੑͱߴޮ཰ͷ࣮ূ • प೾਺มௐ؍ଌ͕࣮ূͨ͠ར఺ͱ੍ݶ • ࠓճಋೖͨ͠৴߸ॲཧͷࠓޙͷԠ༻ • प೾਺มௐ؍ଌͷࠓޙͷల๬
  2. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 3 40 2018.01.09 Introduction ఱจֶʹ͓͚ΔϛϦ೾αϒϛϦ೾؍ଌͷҙٛ 100

    GHz 1 THz 10 THz 10 GHz ؍ଌप೾਺ 1 mm 1 cm 100 μm 10 μm 10 cm ؍ଌ೾௕ ηϯν೾ ϛϦ೾ ԕ੺֎ઢ/αϒϛϦ೾ ۙ/தؒ੺֎ઢ
  3. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 3 40 2018.01.09 Introduction ఱจֶʹ͓͚ΔϛϦ೾αϒϛϦ೾؍ଌͷҙٛ 100

    GHz 1 THz 10 THz 10 GHz ؍ଌप೾਺ 1 mm 1 cm 100 μm 10 μm 10 cm ؍ଌ೾௕ ηϯν೾ ϛϦ೾ ԕ੺֎ઢ/αϒϛϦ೾ ۙ/தؒ੺֎ઢ ൩ظܕ੕ͷ࣭ྔ์ग़ ௒৽੕࢒֚ ੕ܗ੒ྖҬ ݪ࢝࿭੕ܥԁ൫ ڊେϒϥοΫϗʔϧ ͷߴΤωϧΪʔݱ৅
  4. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 3 40 2018.01.09 Introduction ఱจֶʹ͓͚ΔϛϦ೾αϒϛϦ೾؍ଌͷҙٛ 100

    GHz 1 THz 10 THz 10 GHz ؍ଌप೾਺ 1 mm 1 cm 100 μm 10 μm 10 cm ؍ଌ೾௕ ηϯν೾ ϛϦ೾ ԕ੺֎ઢ/αϒϛϦ೾ ۙ/தؒ੺֎ઢ ॳظӉ஦Ͱ஀ੜɾ੒௕ ͢Δരൃత੕ܗ੒ۜՏ
  5. Akio Taniguchi / • ۭؒํ޲ʹฒ΂ͨෳ਺ࡱ૾ૉࢠ • ૉࢠ਺ ~ 100 -

    10000 • ޿͍प೾਺ଳҬ (਺ेGHz)ͷి࣓೾
 ͷ࿈ଓޫΛޫࢠͱͯ͠ݕग़͢Δ ࿈ଓ೾ࡱ૾؍ଌ ෼ޫ؍ଌ • प೾਺ํ޲ʹฒ΂ͨ෼ޫνϟϯωϧ • νϟϯωϧ਺ ~ 1000 - 10000 • ۭؒํ޲ͷ৘ใ͸ಘΒΕͳ͍୅ΘΓʹɺ
 ి࣓೾ΛεϖΫτϧͱͯ͠ಘΔ Hatsukade et al. 2011 Kaifu et al. 2004 ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 4 40 2018.01.09 Introduction ఱจֶʹ͓͚ΔϛϦ೾αϒϛϦ೾؍ଌͷҙٛ
  6. Akio Taniguchi / • ۭؒํ޲ʹฒ΂ͨෳ਺ࡱ૾ૉࢠ • ૉࢠ਺ ~ 100 -

    10000 • ޿͍प೾਺ଳҬ (਺ेGHz)ͷి࣓೾
 ͷ࿈ଓޫΛޫࢠͱͯ͠ݕग़͢Δ ࿈ଓ೾ࡱ૾؍ଌ ෼ޫ؍ଌ • प೾਺ํ޲ʹฒ΂ͨ෼ޫνϟϯωϧ • νϟϯωϧ਺ ~ 1000 - 10000 • ۭؒํ޲ͷ৘ใ͸ಘΒΕͳ͍୅ΘΓʹɺ
 ి࣓೾ΛεϖΫτϧͱͯ͠ಘΔ Hatsukade et al. 2011 Kaifu et al. 2004 ׯবܭํࣜ ୯Ұڸํࣜ • ෳ਺ͷΞϯςφΛ૊Έ߹ΘͤɺҰͭͷ Ծ૝తͳେޱܘΛ࣮ݱ͢Δํࣜ • ୯Ұڸʹରͯ͠ߴ͍ۭؒ෼ղೳ
 (~ࢹྗ)Λୡ੒Մೳ • ୯ҰͷΞϯςφʹΑΔ؍ଌํࣜ • ׯবܭʹରͯ͠ɺଟૉࢠΧϝϥʹΑΔ
 ޿͍ࢹ໺ͷ؍ଌ͕Մೳ ALMA (NAOJ/ESO/NRAO) ASTE (NAOJ) ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 4 40 2018.01.09 Introduction ఱจֶʹ͓͚ΔϛϦ೾αϒϛϦ೾؍ଌͷҙٛ
  7. Akio Taniguchi / • ۭؒํ޲ʹฒ΂ͨෳ਺ࡱ૾ૉࢠ • ૉࢠ਺ ~ 100 -

    10000 • ޿͍प೾਺ଳҬ (਺ेGHz)ͷి࣓೾
 ͷ࿈ଓޫΛޫࢠͱͯ͠ݕग़͢Δ ࿈ଓ೾ࡱ૾؍ଌ ෼ޫ؍ଌ • प೾਺ํ޲ʹฒ΂ͨ෼ޫνϟϯωϧ • νϟϯωϧ਺ ~ 1000 - 10000 • ۭؒํ޲ͷ৘ใ͸ಘΒΕͳ͍୅ΘΓʹɺ
 ి࣓೾ΛεϖΫτϧͱͯ͠ಘΔ Hatsukade et al. 2011 Kaifu et al. 2004 ׯবܭํࣜ ୯Ұڸํࣜ • ෳ਺ͷΞϯςφΛ૊Έ߹ΘͤɺҰͭͷ Ծ૝తͳେޱܘΛ࣮ݱ͢Δํࣜ • ୯Ұڸʹରͯ͠ߴ͍ۭؒ෼ղೳ
 (~ࢹྗ)Λୡ੒Մೳ • ୯ҰͷΞϯςφʹΑΔ؍ଌํࣜ • ׯবܭʹରͯ͠ɺଟૉࢠΧϝϥʹΑΔ
 ޿͍ࢹ໺ͷ؍ଌ͕Մೳ ALMA (NAOJ/ESO/NRAO) ASTE (NAOJ) 7.5 arcmin ※Χϝϥ؍ଌͷ৔߹ 0.4 arcmin ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 4 40 2018.01.09 Introduction ఱจֶʹ͓͚ΔϛϦ೾αϒϛϦ೾؍ଌͷҙٛ
  8. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 5 40 2018.01.09 Introduction ϛϦ೾αϒϛϦ೾ʹ͓͚Δ୯Ұڸ෼ޫ؍ଌͷҙٛ •

    ALMA࣌୅Λܴ͑ͯ·͢·͢ॏཁͱͳΔߴޮ཰, ߴײ౓ͷ෼ޫ؍ଌख๏ • ୯ҰڸଟૉࢠΧϝϥαʔϕΠͰݟ͔ͭͬͨαϒϛϦ೾ۜՏ(SMG)ީิ ఱମͷ, ෼ޫϑΥϩʔΞοϓ؍ଌʹΑΔ੺ํภҠ, ෺ཧྔͷܾఆ • ޿ࢹ໺Λ׆͔ͨۜ͠Տ໘෼ࢠӢαʔϕΠͳͲͷ෼ޫϚοϐϯά؍ଌ • τʔλϧύϫʔͷऔಘʹΑΔ, ׯবܭը૾ͷ஧࣮ੑ (fidelity)ͷ޲্ ALMA (ESO/NAOJ/NRAO) ALMA/ACA 12m TP antennae +30° −30° −20° 0° +20° +10° −10° +30° −30° −20° 0° +20° +10° −10° Galactic Longitude Galactic Latitude 180° 160° 140° 120° 100° 80° 60° 40° 20° 0° 340° 320° 300° 280° 260° 240° 220° 200° 180° 170° 150° 130° 110° 90° 70° 50° 30° 10° 350° 330° 310° 290° 270° 250° 230° 210° 190° Beam S235 Per OB2 Polaris Flare Cam Cepheus Flare W3 G r e a t R i f t NGC7538 Cas A Cyg OB7 Cyg X W51 W44 Aquila Rift R CrA Ophiuchus Lupus Galactic Center G317−4 Coal Sack Carina Nebula Vela Mon R2 Maddalena’s Cloud CMa OB1 Mon OB1 Rosette Gem OB1 S147 S147 CTA-1 S212 λ O r i R g Lacerta Gum Nebula S. Ori Filament Hercules Galactic Latitude Ursa Major 0° +20° 0.0 0.5 1.0 1.5 2.0 FIG. 2.–Velocity-integrated CO map of the Milky Way. The angular resolution is 9´ over most of the map, including the entire Galactic plane, but is lower (15´ or 30´) in some regions out of the plane (see Fig. 1 & Table 1). The sensitivity varies somewhat from region to region, since each component survey was integrated individually using moment masking or clipping in order to display all statistically significant emission but little noise (see §2.2). A dotted line marks the sampling boundaries, given in more detail in Fig. 1. CO Galactic Survey (Dame+01) Figure 1. 20 GHz wide spectral scan at a velocity resolution of 200 km s−1 toward SMM J14009+0252 in the 3 mm window. A CO emission feature is seen at ∼88 GHz (see Figure 2 for a presentation of the CO line at higher spectral resolution). We first scanned the full 3 mm tuning range of EMIR with ∼2 hr of observing for each tuning. The tunings were spaced to provide 500 MHz overlap. Excellent receiver noise temperatures across the band (35–45 K) resulted in typical system temperatures of ∼100 K. The resulting spectrum had an rms noise level of 0.5 mK (≈3.5 mJy) at a velocity resolution of 200 km s−1 but did not show clear evidence for CO line emission. We then increased the integration time for the lower part (<105 GHz) of the 3 mm band until we reached an average rms noise level of 0.2 mK (1.2 mJy). The resulting spectrum, as shown in Figure 1, shows a line at ∼88 GHz. At this stage, the source redshift was still not determined as it was not clear which CO transition was detected in the 3 mm scan. We therefore used the dual-frequency 3/2 mm (E090/ E150) setup of EMIR to search for a second CO transition in the 2 mm band and to increase the signal-to-noise ratio (S/N) of the 3 mm line. In this configuration, each frequency band has an instantaneous, dual-polarization bandwidth of 4 GHz. The 2 mm mixers were tuned to 146.5 GHz, under the assumption that the 3 mm line was the CO(3–2) transition at z = 2.93. At this frequency, the receiver noise temperature was ∼30 K, yielding a system temperature of ∼120 K. SMM J14009+0252 was observed in the dual-frequency setup for ∼5 hr and we clearly detected a second line in the 2 mm band (see Figure 2). Additional 2 mm data were taken in an attempt to observe a third spectra is 160 µK (1.0 mJy) and 180 µK (1.3 mJy) at 3 mm and 2 mm, respectively. Both lines are detected at high significance (9 and 12 σ for the integrated intensities). The line profiles for both lines are very similar and well described by a single Gaussian with a FWHM of 470 km s−1. The parameters derived from Gaussian fits to both line profiles are given in Table 1. The frequencies unambiguously identify the lines as CO(3–2) and CO(5–4) (see our discussion below). Combining the centroids of both lines, we derive a variance-weighted mean redshift for SMM J14009+0252 of z = 2.9344 ± 2 × 10−4. 4. DISCUSSION At first glance, the observed frequencies cannot only be interpreted as CO(3–2) and CO(5–4) at z = 2.93 but also as CO(6–5) and CO(10–9) at z = 6.88 or even CO(9–8) and CO(15–14) at z = 10.80. The CO ladder, however, is not equidistant in frequency which results in small, but significant differences for the frequency separation of the line pairs as a function of rotational quantum number. The frequency separation is 58.577, 58.532, and 58.458 GHz for the CO line pairs at redshifts 2.93, 6.88, and 10.80, respectively. Our observations yield δν = 58.581 ± 0.017 GHz, which identifies the lines as CO(3–2) and CO(5–4) at z = 2.93. Our redshift confirms earlier photometric redshift estimates by Ivison et al. (2000, z > 2.8 based on S450/S850 and 3 < z < 5 based on the whole spectral energy distribution (SED)), Yun & Carilli (2002, z ∼ 3.5 based on the dust SED) and more recently by Hempel et al. (2008, z = 2.8–3 based on optical/IR photometry). With the precise redshift and the observed CO line lumi- nosities in hand, we can estimate the molecular gas content of Figure 2. Spectra of the CO(3–2) (left) and CO(5–4) (right) lines toward SMM J14009+0252. The spectral resolution is 60 km s−1 for both lines. See Table 1 for the fit parameters. CO Blind Redshift Survey (Weiß+09)
  9. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 6 40 2018.01.09 Introduction ϛϦ೾αϒϛϦ೾ʹ͓͚Δ୯Ұڸ෼ޫ؍ଌͷ՝୊ ~1

    km ASTE๬ԕڸ ͷࢹ໺ (7.5’) ASTE๬ԕڸ • ஍ٿେؾΛىݯͱ͢ΔࡶԻ (ͷεϖΫτϧ) • ରྲྀݍதʹඇҰ༷ʹ෼෍͢ΔH2O෼ࢠ͕෩Ͱӡಈ • ఱମ৴߸ͷ103-104ഒ΋ͷύϫʔΛ΋ͭ೤ࡶԻΛ์ࣹ • ๬ԕڸ։ޱΛԣ੾Δ࣌ؒεέʔϧ (~ 1 sec) Ͱมಈ͢ ΔͨΊɺ௿प೾੒෼ (< 1 Hz)͕୎ӽ (1/f, 1/f2 like) • ؍ଌ૷ஔΛىݯͱ͢ΔࡶԻ (ͷεϖΫτϧ) • ड৴ػͦͷ΋ͷ͔Βൃੜ͢Δ೤ࡶԻ • ϚΠΫϩϑΥχοΫϊΠζ΍ήΠϯมಈ • ఱମ৴߸εϖΫτϧΛͲ͏ಘΔ͔ʁ • ఱମ৴߸͕ଘࡏ͢Δ఺ (ON఺) Ͱͷ্هࠐΈͷεϖ Ϋτϧͱɺఱମ৴߸Λؚ·ͳ͍ࢀরεϖΫτϧͱͷ ࠩ෼ʹΑͬͯٻΊΔ (εΠονϯά؍ଌ) ਫৠؾϨΠϠʔ
  10. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 7 40 2018.01.09 Introduction ϛϦ೾αϒϛϦ೾ʹ͓͚Δ୯Ұڸ෼ޫ؍ଌͷ՝୊ •

    OFF఺؍ଌʹΑΔ؍ଌޮ཰ (ηobs) ͷ௿Լ • ૯؍ଌ࣌ؒͷ50%Ҏ্͸ఱମΛݟΒΕͳ͍ • ON-OFFʹΑΔϕʔεϥΠϯͷෆ҆ఆ (͏ͶΓ) • ઢ෯͕޿͘ڧ౓ͷऑ͍ԕํӉ஦ͷًઢ؍ଌ͸ෆར • ON-OFFʹΑΔϊΠζͷ෇Ճ • ON఺ͱಉ͡OFF఺ͷ؍ଌ࣌ؒͰ΋√2ഒѱԽ ASTE ON OFF → େؾ+૷ஔͷࡶԻΛআڈ͢ΔͨΊͷεΠονϯά؍ଌ ৴߸ڧ౓ प೾਺ ૷ஔ+େؾ+ఱମ (ON఺) ৴߸ڧ౓ ૷ஔ+େؾ (OFF఺) प೾਺ ఱମ৴߸ ৴߸ڧ౓ प೾਺ ڧ౓ ֱਖ਼
  11. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 7 40 2018.01.09 Introduction ϛϦ೾αϒϛϦ೾ʹ͓͚Δ୯Ұڸ෼ޫ؍ଌͷ՝୊ •

    OFF఺؍ଌʹΑΔ؍ଌޮ཰ (ηobs) ͷ௿Լ • ૯؍ଌ࣌ؒͷ50%Ҏ্͸ఱମΛݟΒΕͳ͍ • ON-OFFʹΑΔϕʔεϥΠϯͷෆ҆ఆ (͏ͶΓ) • ઢ෯͕޿͘ڧ౓ͷऑ͍ԕํӉ஦ͷًઢ؍ଌ͸ෆར • ON-OFFʹΑΔϊΠζͷ෇Ճ • ON఺ͱಉ͡OFF఺ͷ؍ଌ࣌ؒͰ΋√2ഒѱԽ Φϑ఺
 ๬ԕڸҠಈ
 ͦͷଞ 62% Φϯ఺
 ʢflaggedʣ 25% Φϯ఺
 ʢusedʣ 13% → େؾ+૷ஔͷࡶԻΛআڈ͢ΔͨΊͷεΠονϯά؍ଌ ৴߸ڧ౓ प೾਺ ૷ஔ+େؾ+ఱମ (ON఺) ৴߸ڧ౓ ૷ஔ+େؾ (OFF఺) प೾਺ ఱମ৴߸ ৴߸ڧ౓ प೾਺ ڧ౓ ֱਖ਼ ؍ଌޮ཰ ૯؍ଌ࣌ؒ
  12. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 7 40 2018.01.09 Introduction ϛϦ೾αϒϛϦ೾ʹ͓͚Δ୯Ұڸ෼ޫ؍ଌͷ՝୊ •

    OFF఺؍ଌʹΑΔ؍ଌޮ཰ (ηobs) ͷ௿Լ • ૯؍ଌ࣌ؒͷ50%Ҏ্͸ఱମΛݟΒΕͳ͍ • ON-OFFʹΑΔϕʔεϥΠϯͷෆ҆ఆ (͏ͶΓ) • ઢ෯͕޿͘ڧ౓ͷऑ͍ԕํӉ஦ͷًઢ؍ଌ͸ෆར • ON-OFFʹΑΔϊΠζͷ෇Ճ • ON఺ͱಉ͡OFF఺ͷ؍ଌ࣌ؒͰ΋√2ഒѱԽ Φϑ఺
 ๬ԕڸҠಈ
 ͦͷଞ 62% Φϯ఺
 ʢflaggedʣ 25% Φϯ఺
 ʢusedʣ 13% → େؾ+૷ஔͷࡶԻΛআڈ͢ΔͨΊͷεΠονϯά؍ଌ ৴߸ڧ౓ प೾਺ ૷ஔ+େؾ+ఱମ (ON఺) ৴߸ڧ౓ ૷ஔ+େؾ (OFF఺) प೾਺ ఱମ৴߸ ৴߸ڧ౓ प೾਺ ڧ౓ ֱਖ਼ ؍ଌޮ཰ ૯؍ଌ࣌ؒ ໺ลࢁ 45m ෼ޫ؍ଌͰݱΕͨϕʔεϥΠϯ͏ͶΓ
  13. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 8 40 2018.01.09 Introduction ϛϦ೾αϒϛϦ೾୯Ұڸ෼ޫ؍ଌ΁ͷ૬ؔࡶԻআڈͷಋೖ ~1

    km ASTE๬ԕڸ ͷࢹ໺ (7.5’) ASTE๬ԕڸ ࿈ଓ೾Χϝϥ ਫৠؾϨΠϠʔ • ૬ؔࡶԻআڈʹΑΔॠؒॠؒͷఱମ৴߸ͷਪఆ • ࿈ଓ೾ଟૉࢠΧϝϥͰ͢Ͱʹ࣮੷ͷ͋Δख๏ • ஍ٿେؾ΍؍ଌ૷ஔͷࡶԻ͸ૉࢠʹڞ௨ʹ߱Γ஫ ͙(૬ؔࡶԻ) ͱ͍͏ੑ࣭Λར༻ • ఱମ৴߸͸๬ԕڸͷࢹ໺ΛৼΓճͯ͠ೖࣹ͢Δૉ ࢠΛ࣍ʑʹม͑Δ (มௐ) ͜ͱͰ૬ؔࡶԻͱ۠ผ • ఱମ৴߸ΛͲ͏ಘΔ͔ʁ • ON఺ͷ࣌ܥྻσʔλͦͷ΋ͷ͔Βओ੒෼෼ੳͳͲ ʹΑͬͯ૬ؔࡶԻͷϞʔυΛٻΊɺOFF఺੒෼Λॠ ؒॠؒ (in-situ) ʹਪఆɾআڈ͢Δ͜ͱͰٻΊΔ • ݪཧతʹࠩ෼ʹΑΔ͏ͶΓ͕ൃੜͤͣɺOFF఺Λ؍ ଌ͠ͳ͍ͨΊߴޮ཰ (ηobs = 0.9 - 1.0)
  14. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 9 40 2018.01.09 Introduction ϛϦ೾αϒϛϦ೾୯Ұڸ෼ޫ؍ଌ΁ͷ૬ؔࡶԻআڈͷಋೖ େؾ+૷ஔͷ“૬ؔ”ࡶԻΛআڈ͢ΔͨΊͷࢹ໺มௐ؍ଌ

    ૷ஔ+େؾ+ఱମ (ON఺) ૷ஔ+େؾ (in-situਪఆ) ఱମ৴߸ Observing time (sec) Intensity (K) Time frequency (Hz) PSD (K/Hz) ૬ؔࡶԻ ఱମ৴߸ AzTEC/ASTE (Wilson et al. 2008) FFT
  15. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 9 40 2018.01.09 Introduction ϛϦ೾αϒϛϦ೾୯Ұڸ෼ޫ؍ଌ΁ͷ૬ؔࡶԻআڈͷಋೖ େؾ+૷ஔͷ“૬ؔ”ࡶԻΛআڈ͢ΔͨΊͷࢹ໺มௐ؍ଌ

    ૷ஔ+େؾ+ఱମ (ON఺) ૷ஔ+େؾ (in-situਪఆ) ఱମ৴߸ AzTEC/ASTE (Wilson et al. 2008) Time frequency (Hz) PSD (K/Hz) Observing time (sec) Intensity (K) ओ੒෼෼ੳ(HPF) FFT ૬ؔࡶԻআڈΛ࣮ݱ͢ΔͨΊʹ͸ఱମ৴߸ͷมௐ͕ඞཁͰ͋Δ
  16. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 9 40 2018.01.09 Introduction ϛϦ೾αϒϛϦ೾୯Ұڸ෼ޫ؍ଌ΁ͷ૬ؔࡶԻআڈͷಋೖ େؾ+૷ஔͷ“૬ؔ”ࡶԻΛআڈ͢ΔͨΊͷप೾਺มௐ؍ଌ

    ૷ஔ+େؾ+ఱମ (ON఺) ૷ஔ+େؾ (in-situਪఆ) ఱମ৴߸ AzTEC/ASTE (Wilson et al. 2008) Time frequency (Hz) PSD (K/Hz) Observing time (sec) Intensity (K) ओ੒෼෼ੳ(HPF) FFT ૬ؔࡶԻআڈΛ࣮ݱ͢ΔͨΊʹ͸ఱମ৴߸ͷมௐ͕ඞཁͰ͋Δ
  17. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 10 40 2018.01.09 ෮ௐ ˍ ੵ෼

    ہ෦ൃৼث (LO) ͷप೾਺Λมௐ (FM) ͤ͞ఱମ৴߸͕ೖࣹ͢Δ෼ޫܭ νϟϯωϧΛ࣍ʑͱมԽͤ͞ͳ͕Βɺ෼ޫܭग़ྗΛߴස౓ (10Hz) ʹऔ ಘ͢Δ͜ͱͰɺڞ௨ʹ߱Γ஫͙૬ؔࡶԻ (OFF఺) Λআڈ͢Δ؍ଌख๏ “ ” FMLO: Frequency-Modulating Local Oscillator (Tamura, Taniguchi et al.) Objectives of this study ૬ؔࡶԻআڈΛ࣮ݱ͢ΔͨΊͷप೾਺มௐ؍ଌख๏
  18. Akio Taniguchi / ղੳͷྲྀΕ Պֶతཁٻ ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 11 40 2018.01.09 Objectives

    of this study FMLO๏ͷ؍ଌख๏ͱղੳख๏ͷแׅతͳ։ൃݚڀ ؍ଌख๏ ཉ͍͠৘ใ ؍ଌੑೳ
  19. Akio Taniguchi / ղੳͷྲྀΕ Պֶతཁٻ ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 11 40 2018.01.09 Objectives

    of this study FMLO๏ͷ؍ଌख๏ͱղੳख๏ͷแׅతͳ։ൃݚڀ ؍ଌख๏ ղੳख๏ ཉ͍͠৘ใ ؍ଌੑೳ ?
  20. Akio Taniguchi / ղੳͷྲྀΕ Պֶతཁٻ ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 11 40 2018.01.09 Objectives

    of this study FMLO๏ͷ؍ଌख๏ͱղੳख๏ͷแׅతͳ։ൃݚڀ ؍ଌख๏ • प೾਺มௐ؍ଌͷ؍ଌํఔࣜɾڧ౓ֱਖ਼ख๏ͷ։ൃɾهड़ • ؍ଌํఔࣜΛղͨ͘Ίʹඞཁͳ৴߸ॲཧͷํ๏ͷ։ൃɾ࣮ূ • ͜ΕΒ͕ཁ੥͢Δ؍ଌख๏ʹର͢Δ৚݅ͷϑΟʔυόοΫ • ૬ؔࡶԻআڈͷͨΊͷ प೾਺มௐ؍ଌ (FMLO) • ैདྷख๏ͱໃ६ͳ͍ఱମ ৴߸εϖΫτϧ • ૬ؔࡶԻআڈʹΑΔߴޮ ཰͔ͭ͏ͶΒͳ͍؍ଌ ղੳख๏ ཉ͍͠৘ใ ؍ଌੑೳ ϑΟʔυόοΫ ղੳιϑτ΢ΣΞ ͷ৽ن։ൃ </>
  21. ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ Akio Taniguchi / 40 2018.01.09 12 Contents Development and

    verification of FMLO's signal processing Discussion and conclusions Science demonstration of FMLO method • αϒϛϦ೾෼ޫ؍ଌͷ՝୊఺ • ૬ؔࡶԻআڈʹجͮ͘෼ޫ؍ଌͷಋೖ • ຊݚڀͷ໨తͱ৽نੑʹ͍ͭͯ • ؍ଌํఔࣜͷهड़ͱ৴߸ॲཧͷ՝୊఺ • ͜ΕΛղܾ͢Δ৴߸ॲཧͷ։ൃͱ࣮ূ • ৴߸ॲཧʹج࣮ͮ͘ఱମ৴߸ͷ؍ଌ • ैདྷख๏ͱͷແໃ६ੑͱߴޮ཰ͷ࣮ূ • प೾਺มௐ؍ଌ͕࣮ূͨ͠ར఺ͱ੍ݶ • ࠓճಋೖͨ͠৴߸ॲཧͷࠓޙͷԠ༻ • प೾਺มௐ؍ଌͷࠓޙͷల๬ Introduction and objectives of this study
  22. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 13 40 2018.01.09 Development of FMLO's

    signal processing ͸͡Ίʹɿมௐɾ෮ௐσʔλͷ࣌ܥྻϓϩοτ มௐ ෮ௐ ؍ଌ࣌ؒ (sec) ؍ଌप೾਺ νRF (GHz) தؒप೾਺ νLO (GHz) ؍ଌ࣌ؒ (sec) ًઢڧ౓ʢKʣ ًઢڧ౓ʢKʣ • ෮ௐ͞Εͨ࣌ܥྻσʔλ • ԣ͕࣠؍ଌप೾਺ʹἧ͏ • ࣌ؒํ޲ʹੵ෼͢Δ͜ͱͰ
 εϖΫτϧΛಘΒΕΔ • มௐ͞Εͨ࣌ܥྻσʔλ • ԣ͕࣠தؒप೾਺ʹἧ͏
 (= ෼ޫܭνϟϯωϧ) • มௐ෯ɾεςοϓͰมௐύ λʔϯ͕ఆٛ͞ΕΔ มௐ෯ มௐεςοϓ 10 HzͰऔಘͨ͠ ݸʑͷαϯϓϧ
  23. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 14 40 2018.01.09 Development of FMLO's

    signal processing ैདྷͷ؍ଌํఔࣜͷFMLO΁ͷ֦ுͱ৴߸ॲཧͷ՝୊఺ͷൃݟ ϔςϩμΠϯड৴ػͷ؍ଌํఔࣜ νϣούʔϗΠʔϧ๏ʹΑΔڧ౓ֱਖ਼ ٻΊ͍ͨ෺ཧྔ ؍ଌྔ • νϣούʔϗΠʔϧ๏ʹΑΔڧ౓ֱਖ਼͸FMLOʹ͸௚઀ద༻Ͱ͖ͳ͍ • ON఺؍ଌͷࡍɺήΠϯ (͍ΘΏΔόϯΩϟϥ) ͕प೾਺มௐʹґଘ • ϕʔεϥΠϯ͏ͶΓɺఱମ৴߸ͷؒҧͬͨڧ౓ֱਖ਼ΛҾ͖ى͜͢
  24. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 14 40 2018.01.09 Development of FMLO's

    signal processing ैདྷͷ؍ଌํఔࣜͷFMLO΁ͷ֦ுͱ৴߸ॲཧͷ՝୊఺ͷൃݟ ϔςϩμΠϯड৴ػͷ؍ଌํఔࣜ νϣούʔϗΠʔϧ๏ʹΑΔڧ౓ֱਖ਼ GON͸प೾਺มௐͰมಈʂ ٻΊ͍ͨ෺ཧྔ ؍ଌྔ • νϣούʔϗΠʔϧ๏ʹΑΔڧ౓ֱਖ਼͸FMLOʹ͸௚઀ద༻Ͱ͖ͳ͍ • ON఺؍ଌͷࡍɺήΠϯ (͍ΘΏΔόϯΩϟϥ) ͕प೾਺มௐʹґଘ • ϕʔεϥΠϯ͏ͶΓɺఱମ৴߸ͷؒҧͬͨڧ౓ֱਖ਼ΛҾ͖ى͜͢
  25. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 15 40 2018.01.09 Development of FMLO's

    signal processing ैདྷͷ؍ଌํఔࣜͷFMLO΁ͷ֦ுͱ৴߸ॲཧͷ՝୊఺ͷൃݟ ϔςϩμΠϯड৴ػͷ؍ଌํఔࣜ (FMLO΁ͷ֦ு) νϣούʔϗΠʔϧ๏ʹΑΔڧ౓ֱਖ਼ (FMLO΁ͷ֦ு) ٻΊ͍ͨ෺ཧྔ ؍ଌྔ (࣌ܥྻߦྻ) • ؍ଌํఔࣜͱڧ౓ֱਖ਼ΛFMLOͷप೾਺มௐ࣌ܥྻσʔλʹ֦ு • ՝୊1: ڧ౓ֱਖ਼લʹप೾਺มௐґଘήΠϯ (GFM)Λิਖ਼͢Δඞཁ͕͋Δ • ՝୊2: ૬ؔࡶԻͱ஍ٿେؾًઢΛผʑʹਪఆɾআڈ͢Δඞཁ͕͋Δ • ՝୊3: มௐύλʔϯΛఱମ৴߸ًઢͷઢ෯౳ʹ࠷దԽ͢Δඞཁ͕͋Δ
  26. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 15 40 2018.01.09 Development of FMLO's

    signal processing ैདྷͷ؍ଌํఔࣜͷFMLO΁ͷ֦ுͱ৴߸ॲཧͷ՝୊఺ͷൃݟ ϔςϩμΠϯड৴ػͷ؍ଌํఔࣜ (FMLO΁ͷ֦ு) νϣούʔϗΠʔϧ๏ʹΑΔڧ౓ֱਖ਼ (FMLO΁ͷ֦ு) ٻΊ͍ͨ෺ཧྔ ؍ଌྔ (࣌ܥྻߦྻ) प೾਺มௐ͞Εͨ෺ཧྔ ૬ؔࡶԻ + प೾਺มௐ͞Εͨ ஍ٿେؾًઢ ࣌ؒํ޲ͷϝδΞϯ • ؍ଌํఔࣜͱڧ౓ֱਖ਼ΛFMLOͷप೾਺มௐ࣌ܥྻσʔλʹ֦ு • ՝୊1: ڧ౓ֱਖ਼લʹप೾਺มௐґଘήΠϯ (GFM)Λิਖ਼͢Δඞཁ͕͋Δ • ՝୊2: ૬ؔࡶԻͱ஍ٿେؾًઢΛผʑʹਪఆɾআڈ͢Δඞཁ͕͋Δ • ՝୊3: มௐύλʔϯΛఱମ৴߸ًઢͷઢ෯౳ʹ࠷దԽ͢Δඞཁ͕͋Δ
  27. Akio Taniguchi / ch t ÷ PON GFM PLoad PON

    TCalib TAtm FMήΠϯͷਪఆྔ ON఺࣌ܥྻσʔλ ਪఆ (2ճ໨Ҏ߱) corrected for FM gain ( ) νϣούʔଌఆσʔλ (࣌ؒํ޲ʹఆ਺) FMήΠϯิਖ਼ࡁON఺ ڧ౓ֱਖ਼ࡁ࣌ܥྻσʔλ ஍ٿେؾًઢͷਪఆྔ ஍ٿ ૬ؔ ÷ cal - ਪఆ (൓෮త) ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 16 40 2018.01.09 Development of FMLO's signal processing ৴߸ॲཧશମͷϑϩʔνϟʔτ
  28. Akio Taniguchi / PLoad PON TCalib TAtm TC ྔ ʔλ

    ໨Ҏ߱) corrected for FM gain ( ) νϣούʔଌఆσʔλ (࣌ؒํ޲ʹఆ਺) FMήΠϯิਖ਼ࡁON఺ ڧ౓ֱਖ਼ࡁ࣌ܥྻσʔλ ஍ٿେؾًઢͷਪఆྔ ஍ٿେؾًઢআڈࡁ ૬ؔࡶԻͷਪఆྔ ఱମ৴ ෮ௐ ÷ cal - - ਪఆ (൓෮త) ਪఆ (൓෮త) ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 16 40 2018.01.09 Development of FMLO's signal processing ৴߸ॲཧશମͷϑϩʔνϟʔτ
  29. Akio Taniguchi / TCalib TAtm TC TA* TA* ʔλ )

    ON఺ ڧ౓ֱਖ਼ࡁ࣌ܥྻσʔλ ஍ٿେؾًઢͷਪఆྔ ஍ٿେؾًઢআڈࡁ ૬ؔࡶԻͷਪఆྔ ఱମ৴߸+ϗϫΠτϊΠζ ෮ௐࡁ࣌ܥྻσʔλ cal - - ਪఆ (൓෮త) ਪఆ (൓෮త) ෮ௐ ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 16 40 2018.01.09 Development of FMLO's signal processing ৴߸ॲཧશମͷϑϩʔνϟʔτ
  30. Akio Taniguchi / ิਖ਼લ ਪఆྔ ิਖ਼ޙ ฏ׈ԽϑΟϧλ ॲཧʹΑΔ ( )

    νobs ~ 110 GHz ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 17 40 2018.01.09 Development of FMLO's signal processing ։ൃ՝୊1: प೾਺มௐґଘήΠϯ (GFM) ͷਪఆͱิਖ਼ 0 +250 +500 +750 -250 -500 -750 (MHz) ج४प೾਺͔Βͷมௐप೾਺ͷΦϑηοτ ͋Δ෼ޫܭνϟϯωϧͰͷ ON఺ͷύϫʔ (ର਺໨੝) PON ch t ch t ࣌ܥྻॱ प೾਺มௐ 1. ࣌ܥྻσʔλΛप೾਺มௐͷ஋ॱʹιʔτ 2. ฏ׈ԽϑΟϧλ (Savitzky Golay filter)ʹΑͬ ͯήΠϯΧʔϒΛਪఆ͢Δ 3. มௐप೾਺Φϑηοτ͕0ͷ࣌ͷ஋Λج४ ʹϕʔεϥΠϯΛҾ͖ɺFMήΠϯΛಘΔ ON఺ͷ࣌ܥྻσʔλࣗ਎Λ༻͍ͯਪఆ͢Δํ๏ΛߟҊɾ࠾༻ͨ͠
  31. Akio Taniguchi / ิਖ਼લ ਪఆྔ ิਖ਼ޙ ฏ׈ԽϑΟϧλ ॲཧʹΑΔ ( )

    νobs ~ 110 GHz ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 17 40 2018.01.09 Development of FMLO's signal processing ։ൃ՝୊1: प೾਺มௐґଘήΠϯ (GFM) ͷਪఆͱิਖ਼ 0 +250 +500 +750 -250 -500 -750 (MHz) ج४प೾਺͔Βͷมௐप೾਺ͷΦϑηοτ ͋Δ෼ޫܭνϟϯωϧͰͷ ON఺ͷύϫʔ (ର਺໨੝) 1. ࣌ܥྻσʔλΛप೾਺มௐͷ஋ॱʹιʔτ 2. ฏ׈ԽϑΟϧλ (Savitzky Golay filter)ʹΑͬ ͯήΠϯΧʔϒΛਪఆ͢Δ 3. มௐप೾਺Φϑηοτ͕0ͷ࣌ͷ஋Λج४ ʹϕʔεϥΠϯΛҾ͖ɺFMήΠϯΛಘΔ ON఺ͷ࣌ܥྻσʔλࣗ਎Λ༻͍ͯਪఆ͢Δํ๏ΛߟҊɾ࠾༻ͨ͠
  32. Akio Taniguchi / ิਖ਼લ ਪఆྔ ิਖ਼ޙ ฏ׈ԽϑΟϧλ ॲཧʹΑΔ ( )

    νobs ~ 110 GHz ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 17 40 2018.01.09 Development of FMLO's signal processing ։ൃ՝୊1: प೾਺มௐґଘήΠϯ (GFM) ͷਪఆͱิਖ਼ 0 +250 +500 +750 -250 -500 -750 (MHz) ج४प೾਺͔Βͷมௐप೾਺ͷΦϑηοτ ͋Δ෼ޫܭνϟϯωϧͰͷ ON఺ͷύϫʔ (ର਺໨੝) 1. ࣌ܥྻσʔλΛप೾਺มௐͷ஋ॱʹιʔτ 2. ฏ׈ԽϑΟϧλ (Savitzky Golay filter)ʹΑͬ ͯήΠϯΧʔϒΛਪఆ͢Δ 3. มௐप೾਺Φϑηοτ͕0ͷ࣌ͷ஋Λج४ ʹϕʔεϥΠϯΛҾ͖ɺFMήΠϯΛಘΔ ON఺ͷ࣌ܥྻσʔλࣗ਎Λ༻͍ͯਪఆ͢Δํ๏ΛߟҊɾ࠾༻ͨ͠
  33. Akio Taniguchi / ิਖ਼લ ਪఆྔ ิਖ਼ޙ ฏ׈ԽϑΟϧλ ॲཧʹΑΔ ( )

    νobs ~ 110 GHz ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 17 40 2018.01.09 Development of FMLO's signal processing ։ൃ՝୊1: प೾਺มௐґଘήΠϯ (GFM) ͷਪఆͱิਖ਼ 0 +250 +500 +750 -250 -500 -750 (MHz) ج४प೾਺͔Βͷมௐप೾਺ͷΦϑηοτ ͋Δ෼ޫܭνϟϯωϧͰͷ ON఺ͷύϫʔ (ର਺໨੝) 1. ࣌ܥྻσʔλΛप೾਺มௐͷ஋ॱʹιʔτ 2. ฏ׈ԽϑΟϧλ (Savitzky Golay filter)ʹΑͬ ͯήΠϯΧʔϒΛਪఆ͢Δ 3. มௐप೾਺Φϑηοτ͕0ͷ࣌ͷ஋Λج४ ʹϕʔεϥΠϯΛҾ͖ɺFMήΠϯΛಘΔ ON఺ͷ࣌ܥྻσʔλࣗ਎Λ༻͍ͯਪఆ͢Δํ๏ΛߟҊɾ࠾༻ͨ͠
  34. Akio Taniguchi / ิਖ਼લ ਪఆྔ ิਖ਼ޙ ฏ׈ԽϑΟϧλ ॲཧʹΑΔ ( )

    νobs ~ 110 GHz ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 17 40 2018.01.09 Development of FMLO's signal processing ։ൃ՝୊1: प೾਺มௐґଘήΠϯ (GFM) ͷਪఆͱิਖ਼ 0 +250 +500 +750 -250 -500 -750 (MHz) ج४प೾਺͔Βͷมௐप೾਺ͷΦϑηοτ ͋Δ෼ޫܭνϟϯωϧͰͷ ON఺ͷύϫʔ (ର਺໨੝) 1. ࣌ܥྻσʔλΛप೾਺มௐͷ஋ॱʹιʔτ 2. ฏ׈ԽϑΟϧλ (Savitzky Golay filter)ʹΑͬ ͯήΠϯΧʔϒΛਪఆ͢Δ 3. มௐप೾਺Φϑηοτ͕0ͷ࣌ͷ஋Λج४ ʹϕʔεϥΠϯΛҾ͖ɺFMήΠϯΛಘΔ ON఺ͷ࣌ܥྻσʔλࣗ਎Λ༻͍ͯਪఆ͢Δํ๏ΛߟҊɾ࠾༻ͨ͠
  35. Akio Taniguchi / ิਖ਼લ ਪఆྔ ิਖ਼ޙ ฏ׈ԽϑΟϧλ ॲཧʹΑΔ ( )

    νobs ~ 110 GHz ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 17 40 2018.01.09 Development of FMLO's signal processing ։ൃ՝୊1: प೾਺มௐґଘήΠϯ (GFM) ͷਪఆͱิਖ਼ 0 +250 +500 +750 -250 -500 -750 (MHz) ج४प೾਺͔Βͷมௐप೾਺ͷΦϑηοτ ͋Δ෼ޫܭνϟϯωϧͰͷ ON఺ͷύϫʔ (ର਺໨੝) GFM ch t 1. ࣌ܥྻσʔλΛप೾਺มௐͷ஋ॱʹιʔτ 2. ฏ׈ԽϑΟϧλ (Savitzky Golay filter)ʹΑͬ ͯήΠϯΧʔϒΛਪఆ͢Δ 3. มௐप೾਺Φϑηοτ͕0ͷ࣌ͷ஋Λج४ ʹϕʔεϥΠϯΛҾ͖ɺFMήΠϯΛಘΔ ON఺ͷ࣌ܥྻσʔλࣗ਎Λ༻͍ͯਪఆ͢Δํ๏ΛߟҊɾ࠾༻ͨ͠
  36. Akio Taniguchi / ิਖ਼͠ͳ͔ͬͨ৔߹ ิਖ਼ͨ͠৔߹ ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 18 40 2018.01.09 Verification

    of FMLO's signal processing ։ൃ՝୊1: प೾਺มௐґଘήΠϯ (GFM) ͷਪఆͱิਖ਼ • ؍ଌํఔࣜͱڧ౓ֱਖ਼ΛFMLOͷप೾਺มௐ࣌ܥྻσʔλʹ֦ு • ՝୊1: ڧ౓ֱਖ਼લʹप೾਺มௐґଘήΠϯ (GFM)Λิਖ਼͢Δඞཁ͕͋Δ • ՝୊2: ૬ؔࡶԻͱ஍ٿେؾًઢΛผʑʹਪఆɾআڈ͢Δඞཁ͕͋Δ 0 ؍ଌ࣌ؒ (sec) 50 100 150 200 0 -1000 +1000 ج४प೾਺͔Βͷมௐ प೾਺ͷΦϑηοτ (MHz) ͋Δ෼ޫܭνϟϯωϧͰͷ ڧ౓ֱਖ਼ࡁΈڧ౓ (K) 0 100 200
  37. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 19 40 2018.01.09 Development of FMLO's

    signal processing ։ൃ՝୊2: ओ੒෼෼ੳʹΑΔ૬ؔࡶԻͱେؾًઢͷਪఆɾআڈ ૬ؔࡶԻ ఱମ৴߸ ؍ଌσʔλ εϖΫτϧ ෮ௐ, ੵ෼ ओ੒෼1 ओ੒෼2 D࣍ݩۭؒ ࣌ܥྻσʔλ ΛD࣍ݩۭؒ ্ʹϓϩοτ ্͔Βkݸͷओ ੒෼͔Β࣌ܥྻ σʔλΛ࠶ߏ੒ →૬ؔࡶԻ ෼ޫνϟϯωϧDݸ ࣌ࠁ t Ͱͷ εϖΫτϧ D (=෼ޫܭνϟϯωϧ਺)࣍ݩ্ۭؒͰ෼ࢄ͕େ͖͍੒෼ (ओ੒෼) → ૬ؔࡶԻ
  38. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 20 40 2018.01.09 Development of FMLO's

    signal processing ։ൃ՝୊2: ओ੒෼෼ੳʹΑΔ૬ؔࡶԻͱେؾًઢͷਪఆɾআڈ ૬ؔࡶԻ ఱମ৴߸ ؍ଌσʔλ ओ੒෼෼ੳ D (=෼ޫܭνϟϯωϧ਺)࣍ݩ্ۭؒͰ෼ࢄ͕େ͖͍੒෼ (ओ੒෼) → ૬ؔࡶԻ εϖΫτϧ ෮ௐ, ੵ෼ • ૬ؔࡶԻͷਪఆ͸ओ੒෼෼ੳ1ճͷΈ • ఱମ৴߸͕૬ؔࡶԻͱͯ͠ਪఆ͞Εͯ͠·͏ • ًઢͷڧ౓ɾϓϩϑΝΠϧͷ࠶ݱੑ͕ѱ͘ͳΔ • ஍ٿେؾًઢ͸ఱମ৴߸ʹൺ΂ઢ෯͕ང͔ʹେ͖͍ • ఱମ৴߸ʹ࠷దԽͨ͠มௐύλʔϯͰඞͣड͔Δ • ૬ؔࡶԻਪఆͱಉ࣌ʹϞσϧʹΑΔਪఆ͕ඞཁ
  39. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 21 40 2018.01.09 Development of FMLO's

    signal processing ։ൃ՝୊2: ओ੒෼෼ੳʹΑΔ૬ؔࡶԻͱେؾًઢͷਪఆɾআڈ ૬ؔࡶԻ ఱମ৴߸ ؍ଌσʔλ ऩଋ൑ఆ(NO) ૬ؔࡶԻΛ൓෮తʹਪఆ (Chapin+13) • ॏΈ෇͖ओ੒෼෼ੳ (Bailey 2012) ͷಋೖ • EMΞϧΰϦζϜ (൓෮తਪఆख๏) Λ༻͍ ͯɺେؾًઢ͕ࠞೖ͢Δ࣌ܥྻσʔλͷ ཁૉͷॏΈΛԼ͛Δ (de-weighting) • ॏΈ͸؍ଌεϖΫτϧʹϑΟοτͤͨ͞ ஍ٿେؾϞσϧ͔Βܭࢉ͢Δ ओ੒෼1 ओ੒෼2 D࣍ݩۭؒ ࣌ࠁ t Ͱͷ εϖΫτϧ
  40. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 21 40 2018.01.09 Development of FMLO's

    signal processing ։ൃ՝୊2: ओ੒෼෼ੳʹΑΔ૬ؔࡶԻͱେؾًઢͷਪఆɾআڈ ૬ؔࡶԻ ఱମ৴߸ ؍ଌσʔλ ऩଋ൑ఆ(NO) ૬ؔࡶԻΛ൓෮తʹਪఆ (Chapin+13) ௚લʹਪఆͨ͠େؾ ًઢεϖΫτϧ͔Β ͷมԽྔ͕େ͖͍෦ ෼͸ॏΈΛখ͘͞ɺ খ͍͞෦෼͸ॏΈΛ େ͖͘͢Δ model weight ஍ٿେؾϞσϧ ॏΈ model by am (Paine 2017) ओ੒෼1 ओ੒෼2 D࣍ݩۭؒ ࣌ࠁ t Ͱͷ εϖΫτϧ
  41. Akio Taniguchi / 1000 km/s 110.0 109.0 109.5 110.5 111.0

    108.5 0 2 4 6 8 10 TA* (K) -2 ؍ଌप೾਺ (GHz) େؾ؍ଌ (ν ~ 110 GHz; USB) ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 22 40 2018.01.09 Verification of FMLO's signal processing ։ൃ՝୊2: ओ੒෼෼ੳʹΑΔ૬ؔࡶԻͱେؾًઢͷਪఆɾআڈ • ॏΈ෇͖ओ੒෼෼ੳͱ஍ٿେؾϞσϧʹΑΔΦκϯًઢͷਪఆɾআڈ • FWZI ͕ 1000 km/s Λ௒͑ΔΑ͏ͳO3ًઢ͕ϞσϧʹΑͬͯਪఆɾআڈ ͞ΕΔ͜ͱ͕࣮ূ͞Εͨ (ৄࡉ͸science demonstrationʹͯ) ॳճͷਪఆ ऩଋ࣌ͷਪఆ େؾًઢϞσϧ 45m
  42. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 23 40 2018.01.09 Verification of FMLO's

    signal processing ։ൃ՝୊1-2: PSDͱڞ෼ࢄߦྻʹΑΔ৴߸ॲཧͷଥ౰ੑͷ֬ೝ • ௿प೾੒෼Ͱ୎ӽ͢Δେ෦෼͸प೾਺มௐґଘήΠϯʹىҼ͢Δ • FMήΠϯิਖ਼ޙ͸0.1 HzҎ্Ͱ΄΅ϑϥοτͳPSDΛಘΔ • ૬ؔࡶԻ͸0.1 HzҎԼͷ௿प೾੒෼ɾػցతͳৼಈ੒෼ͳͲͰ୎ӽ • ओ੒෼෼ੳʹΑͬͯ͜ΕΒ΋আڈ͞ΕͨશҬͰϑϥοτͳPSDΛಘΔ ࣌ؒप೾਺ (Hz) 0.03 0.1 0 ෼ޫܭத৺νϟϯωϧͰͷ ύϫʔεϖΫτϧີ౓ (K/Hz; ର਺໨੝) 0.3 1 3 FMήΠϯิਖ਼લ ૬ؔࡶԻআڈޙ FMήΠϯิਖ਼ޙ 1 2 3 -1 νobs ~ 98 GHz (LSB) ྫྷౚػͷৼಈ (@ 1.2 Hz)
  43. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 23 40 2018.01.09 Verification of FMLO's

    signal processing ։ൃ՝୊1-2: PSDͱڞ෼ࢄߦྻʹΑΔ৴߸ॲཧͷଥ౰ੑͷ֬ೝ • ௿प೾੒෼Ͱ୎ӽ͢Δେ෦෼͸प೾਺มௐґଘήΠϯʹىҼ͢Δ • FMήΠϯิਖ਼ޙ͸0.1 HzҎ্Ͱ΄΅ϑϥοτͳPSDΛಘΔ • ૬ؔࡶԻ͸0.1 HzҎԼͷ௿प೾੒෼ɾػցతͳৼಈ੒෼ͳͲͰ୎ӽ • ओ੒෼෼ੳʹΑͬͯ͜ΕΒ΋আڈ͞ΕͨશҬͰϑϥοτͳPSDΛಘΔ ࣌ؒप೾਺ FMήΠϯิਖ਼લ ૬ؔࡶԻআڈޙ FMήΠϯิਖ਼ޙ LSB (ν ~ 98 GHz) ࣌ܥྻσʔλͷ෼ޫܭνϟϯωϧʹର͢Δ෼ࢄڞ෼ࢄߦྻ 26% 26% 2% 2%
  44. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 24 40 2018.01.09 Verification of FMLO's

    signal processing ՝୊3: ًઢຒΊࠐΈγϛϡϨʔγϣϯʹΑΔมௐύλʔϯ࠷దԽ มௐεςοϓ (MHz/sample) มௐ෯ (MHz) 2000 1000 500 250 120 62.5 31.25 80 N/A N/A N/A 40 20 10 5 N/A 2.5 • ༷ʑͳมௐύλʔϯͰ؍ଌͨ͠େؾ؍ଌσʔλʹਓ޻ًઢΛຒΊࠐΉ • ًઢϞσϧ: [Gauss, ۣܗ], S/N: [5, 30] σ, ઢ෯: [50, 100, 300] km/sͷ12௨Γ • มௐύλʔϯ͸มௐεςοϓͱ෯Λม͑ͨ30௨Γ • ܭ360௨ΓΛղੳ͠ɺϞσϧΛ࠷΋࠶ݱ͢Δมௐύλʔϯͷࢦ਑ΛಘΔ ޿ͯ͘଎͍ ڱͯ͘஗͍
  45. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 25 40 2018.01.09 Verification of FMLO's

    signal processing ՝୊3: ًઢຒΊࠐΈγϛϡϨʔγϣϯʹΑΔมௐύλʔϯ࠷దԽ ࠷దͳมௐύλʔϯ (มௐ෯1000 MHz, มௐεςοϓ80 MHz/sample)ͷ݁Ռ dV = 100 km/s dV = 300 km/s dV = 50 km/s TA* (K) TA* (K) 30σ 30σ 30σ 5σ 5σ 5σ • (Ϟσϧ)-(ղੳޙεϖΫτϧ)ͷР2ͷେখ͸࢖༻ͨ͠มௐ෯ʹґଘ͢Δ • มௐ෯ً͕ઢ෯ΑΓ޿͚Ε͹1ʹे෼͍ۙreduced χ2Ͱًઢ͸ड͔Δ • ॳճΠςϨʔγϣϯͰͷ্هͷР2͸࢖༻ͨ͠มௐεςοϓʹґଘ͢Δ • มௐεςοϓ͸มௐ෯ʹରͯ͠ՄೳͳݶΓେ͖͘ઃఆͨ͠ํ͕ྑ͍
  46. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 25 40 2018.01.09 Verification of FMLO's

    signal processing ՝୊3: ًઢຒΊࠐΈγϛϡϨʔγϣϯʹΑΔมௐύλʔϯ࠷దԽ ࠷దͳมௐύλʔϯ (มௐ෯1000 MHz, มௐεςοϓ80 MHz/sample)ͷ݁Ռ dV = 100 km/s dV = 300 km/s dV = 50 km/s TA* (K) TA* (K) 30σ 30σ 30σ 5σ 5σ 5σ dV = 100 km/s dV = 300 km/s dV = 50 km/s TA* (K) TA* (K) 30σ 30σ 30σ 5σ 5σ 5σ • (Ϟσϧ)-(ղੳޙεϖΫτϧ)ͷР2ͷେখ͸࢖༻ͨ͠มௐ෯ʹґଘ͢Δ • มௐ෯ً͕ઢ෯ΑΓ޿͚Ε͹1ʹे෼͍ۙreduced χ2Ͱًઢ͸ड͔Δ • ॳճΠςϨʔγϣϯͰͷ্هͷР2͸࢖༻ͨ͠มௐεςοϓʹґଘ͢Δ • มௐεςοϓ͸มௐ෯ʹରͯ͠ՄೳͳݶΓେ͖͘ઃఆͨ͠ํ͕ྑ͍
  47. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 26 40 2018.01.09 Verification of FMLO's

    signal processing ՝୊3: ًઢຒΊࠐΈγϛϡϨʔγϣϯʹΑΔมௐύλʔϯ࠷దԽ • (Ϟσϧ)-(ղੳޙεϖΫτϧ)ͷР2ͷେখ͸࢖༻ͨ͠มௐ෯ʹґଘ͢Δ • มௐ෯ً͕ઢ෯ΑΓ޿͚Ε͹1ʹे෼͍ۙreduced χ2Ͱًઢ͸ड͔Δ • ॳճΠςϨʔγϣϯͰͷ্هͷР2͸࢖༻ͨ͠มௐεςοϓʹґଘ͢Δ • มௐεςοϓ͸มௐ෯ʹରͯ͠ՄೳͳݶΓେ͖͘ઃఆͨ͠ํ͕ྑ͍ ҟͳΔઢ෯ͷGaussؔ਺Ϟσϧʹର͢Δղੳऴྃޙͷreduced χ2ͷ஋ > 100 km/s > 300 km/s > 50 km/s dV = 50 km/s dV = 100 km/s dV = 300 km/s มௐ෯ (MHz) มௐ෯ (MHz) มௐ෯ (MHz) มௐεςοϓ (MHz/sample) ࠷దͳ ύλʔϯ
  48. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 27 40 2018.01.09 Verification of FMLO's

    signal processing FMLO؍ଌʹΑΔ؍ଌޮ཰ͱײ౓ͷվળ (Ұ఺؍ଌͷ৔߹) ୯Ґ૯؍ଌ࣌ؒ͋ͨΓͷୡ੒ײ౓ͷܭࢉࣜ ϙδγϣϯεΠον๏ (PSW) ʹର͢ΔFMLOͷ"improvement" • ୯Ґ૯؍ଌ࣌ؒ͋ͨΓГ ഒͷײ౓ • ୯Ґୡ੒ײ౓͋ͨΓГ2 ഒͷ؍ଌޮ཰ ૬ؔࡶԻআڈʹΑΔ ϊΠζ෇Ճͷد༩཰ • ૬ؔࡶԻআڈʹΑΔϊΠζ෇Ճͷد༩཰ЋΛେؾ؍ଌσʔλ͔Βਪఆ • α ~ 1.1 → ݻ༗ϕΫτϧ͕ϊΠζͷӨڹΛड͚͍ͯΔ͜ͱΛࣔࠦ • ηobs,PSW = 0.5, ηobs,FMLO = 0.92 (ཧ૝తͳ৔߹) → ι = 1.74 (Լݶ஋) • PSWʹରͯ͠1.7ഒͷײ౓ɾ3.0ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূͨ͠
  49. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 27 40 2018.01.09 Verification of FMLO's

    signal processing FMLO؍ଌʹΑΔ؍ଌޮ཰ͱײ౓ͷվળ (Ұ఺؍ଌͷ৔߹) ୯Ґ૯؍ଌ࣌ؒ͋ͨΓͷୡ੒ײ౓ͷܭࢉࣜ ϙδγϣϯεΠον๏ (PSW) ʹର͢ΔFMLOͷ"improvement" • ୯Ґ૯؍ଌ࣌ؒ͋ͨΓГ ഒͷײ౓ • ୯Ґୡ੒ײ౓͋ͨΓГ2 ഒͷ؍ଌޮ཰ ૬ؔࡶԻআڈʹΑΔ ϊΠζ෇Ճͷد༩཰ • ૬ؔࡶԻআڈʹΑΔϊΠζ෇Ճͷد༩཰ЋΛେؾ؍ଌσʔλ͔Βਪఆ • α ~ 1.1 → ݻ༗ϕΫτϧ͕ϊΠζͷӨڹΛड͚͍ͯΔ͜ͱΛࣔࠦ • ηobs,PSW = 0.5, ηobs,FMLO = 0.92 (ཧ૝తͳ৔߹) → ι = 1.74 (Լݶ஋) • PSWʹରͯ͠1.7ഒͷײ౓ɾ3.0ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূͨ͠ େؾًઢ؍ଌσʔλ (LSB; ν ~ 98 GHz) ͷ࢒ࠩεϖΫτϧͱϊΠζϨϕϧ α=1 ΛԾఆͯ͠ٻΊͨϊΠζϨϕϧظ଴஋ ؍ଌσʔλ͔Β࣮ଌͨ͠ϊΠζϨϕϧ શҬͰ ~ 10 % ࣮ଌ஋͕ߴ͍ ؍ଌप೾਺ (GHz) 99.0 98.5 98.0 97.5 97.0 96.5 -0.2 -0.1 0.0 0.1 0.2 0.3 TA* (K)
  50. ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ Akio Taniguchi / 40 2018.01.09 28 Contents Development and

    verification of FMLO's signal processing Discussion and conclusions Science demonstration of FMLO method • αϒϛϦ೾෼ޫ؍ଌͷ՝୊఺ • ૬ؔࡶԻআڈʹجͮ͘෼ޫ؍ଌͷಋೖ • ຊݚڀͷ໨తͱ৽نੑʹ͍ͭͯ • ؍ଌํఔࣜͷهड़ͱ৴߸ॲཧͷ՝୊఺ • ͜ΕΛղܾ͢Δ৴߸ॲཧͷ։ൃͱ࣮ূ • ৴߸ॲཧʹج࣮ͮ͘ఱମ৴߸ͷ؍ଌ • ैདྷख๏ͱͷແໃ६ੑͱߴޮ཰ͷ࣮ূ • प೾਺มௐ؍ଌ͕࣮ূͨ͠ར఺ͱ੍ݶ • ࠓճಋೖͨ͠৴߸ॲཧͷࠓޙͷԠ༻ • प೾਺มௐ؍ଌͷࠓޙͷల๬ Introduction and objectives of this study
  51. Akio Taniguchi / CS J=2-1 98.0 0 98.05 97.95 97.90

    1 ؍ଌप೾਺ (GHz) TA* (K) 2 3 4 5 ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 29 40 2018.01.09 Science demonstration of FMLO method ໺ลࢁ 45m ʹ͓͚Δ൩ظܕ੕IRC +10216ͷ؍ଌ • ࣮ఱମ৴߸ͷ؍ଌͰ͸๬ԕڸͷϙΠϯςΟϯάΤϥʔΛߟྀ͢Δ • FMLO؍ଌͷલޙ1࣌ؒͰ8ճPSW؍ଌΛߦ͍ɺًઢڧ౓มԽΛݟੵ΋Δ • FMLO؍ଌ͸"࠷దͳมௐύλʔϯͷࢦ਑"ʹैͬͨ΋ͷΛ࢖༻ • ϙΠϯςΟϯάΤϥʔͷޡࢉͷൣғ಺ͰPSWͱFMLOͷແໃ६Λ࣮ূ ϙΠϯςΟϯάΤϥʔʹΑΔޡࠩͷൣғ಺ͰPSWͱFMLOεϖΫτϧͷແໃ६Λ࣮ূ 45m FMLO PSW (௚ۙ) PSW (1࣌ؒ಺)
  52. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 30 40 2018.01.09 Science demonstration of

    FMLO method ASTE 10m ʹ͓͚Δݪ࢝੕IRAS 16293-2422ͷ؍ଌ • ࣮ఱମ৴߸ͷ؍ଌͰ͸๬ԕڸͷϙΠϯςΟϯάΤϥʔΛߟྀ͢Δ • FMLO؍ଌͷલޙ30෼Ͱ6ճPSW؍ଌΛߦ͍ɺًઢڧ౓มԽΛݟੵ΋Δ • FMLO؍ଌ͸"࠷దͳมௐύλʔϯͷࢦ਑"ʹैͬͨ΋ͷΛ࢖༻ • ϙΠϯςΟϯάΤϥʔͷޡࢉͷൣғ಺ͰPSWͱFMLOͷແໃ६Λ࣮ূ ϙΠϯςΟϯάΤϥʔʹΑΔޡࠩͷൣғ಺ͰPSWͱFMLOεϖΫτϧͷແໃ६Λ࣮ূ CO J=3-2 CO J=3-2 (େؾ) ASTE FMLO PSW (௚ۙ) PSW (30෼಺) ؍ଌप೾਺ (GHz) TA* (K) 345.80 345.82 345.78 345.76 0 5 10 15
  53. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 31 40 2018.01.09 Science demonstration of

    FMLO method ໺ลࢁ 45m ʹ͓͚ΔOrion KLྖҬͰͷFMLOϚοϐϯά؍ଌ t ch ʜ ʜ single x/y scan t α δ ν obs convolution interpolation reshape reshape Ωϡʔϒঢ়ʹมܗͨ͠ ෮ௐࡁΈ࣌ܥྻσʔλ 3DΩϡʔϒ (ۭؒ x ؍ଌप೾਺) • FMLO؍ଌ͠ͳ͕Β๬ԕڸΛۦಈ → FMLOϚοϐϯά؍ଌ • ෮ௐࡁΈσʔλΛon-the-fly (OTF) ؍ଌ (Sawada+08) ͱಉ༷ʹϚοϓԽ • Ϛοϓ (3DΩϡʔϒ) ʹΑΔۭؒ৘ใ΋࢖ͬͨఱମ৴߸Ϟσϧͷਪఆ • ՝୊1: ϚοϐϯάதʹมԽ͢Δେؾًઢڧ౓ΛϞσϧͰ͖Δ͔ʁ • ՝୊2: ैདྷͷOTF؍ଌͱແໃ६Ͱ͋Γɺ͔ͭߴޮ཰Խ͕࣮ূ͞ΕΔ͔ʁ
  54. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 32 40 2018.01.09 Science demonstration of

    FMLO method ໺ลࢁ 45m ʹ͓͚ΔOrion KLྖҬͰͷϚοϐϯά؍ଌͷ࣮ূ • ՝୊1: ϚοϐϯάதʹมԽ͢Δେؾًઢڧ౓ΛϞσϧͰ͖Δ͔ʁ • Ϛοϐϯά؍ଌதʹ๬ԕڸͷڼ͕֯มԽ → େؾًઢڧ౓͕มԽ • ॏΈ෇͖ओ੒෼෼ੳͱେؾϞσϧʹΑͬͯɺڼ֯ʹԠͯ͡มԽ͢Δًઢ ڧ౓ΛਪఆɾআڈͰ͖Δ͜ͱΛ࣮ূͨ͠ (εϖΫτϧ͸࣍ϖʔδ) Dec (10 arcmin) RA (10 arcmin) ๬ԕڸڼ֯ ߴ ௿ େؾًઢڧ౓ ڧ ऑ εΩϟϯύλʔϯ (ࠨ) ͱ110 GHzଳͷΦκϯًઢͷϐʔΫڧ౓ਤ (ӈ) Start Goal
  55. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 33 40 2018.01.09 Science demonstration of

    FMLO method ໺ลࢁ 45m ʹ͓͚ΔOrion KLྖҬͰͷϚοϐϯά؍ଌͷ࣮ূ Orion KLΛத৺ͱ͢Δ൒ܘ30 arcsecͷྖҬͷεϖΫτϧ (USB) FMLO OTF FMLO (େؾআڈલ) TA* (K) ؍ଌप೾਺ (GHz) 110.2 0 2 4 6 8 13CO CH3CN HNCO C18O SO2 OCS O3 110.0 109.8 109.6 109.4 110.4 110.6 O3 45m • ՝୊2: ैདྷͷOTF؍ଌͱແໃ६Ͱ͋Γɺ͔ͭߴޮ཰Խ͕࣮ূ͞ΕΔ͔ʁ • 98 GHzଳɾ110 GHzଳͱ΋ʹOTF؍ଌͱແໃ६ͳεϖΫτϧɾϚοϓ • 110 GHzଳ (USB) Ͱ͸Φκϯًઢ͕ਪఆɾআڈ͞ΕΔ༷ࢠ΋֬ೝͰ͖Δ • OTFʹରͯ͠1.1ഒͷײ౓ɾ1.2ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূͨ͠
  56. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 33 40 2018.01.09 Science demonstration of

    FMLO method ໺ลࢁ 45m ʹ͓͚ΔOrion KLྖҬͰͷϚοϐϯά؍ଌͷ࣮ূ FMLO ैདྷͷOTF CS TA* (K) ؍ଌप೾਺ (GHz) 98.0 98.4 98.2 97.6 97.8 97.4 97.2 0 2 4 6 CH3OH SO2 + 34SO OCS Orion KLΛத৺ͱ͢Δ൒ܘ30 arcsecͷྖҬͷεϖΫτϧ (LSB) 45m • ՝୊2: ैདྷͷOTF؍ଌͱແໃ६Ͱ͋Γɺ͔ͭߴޮ཰Խ͕࣮ূ͞ΕΔ͔ʁ • 98 GHzଳɾ110 GHzଳͱ΋ʹOTF؍ଌͱແໃ६ͳεϖΫτϧɾϚοϓ • 110 GHzଳ (USB) Ͱ͸Φκϯًઢ͕ਪఆɾআڈ͞ΕΔ༷ࢠ΋֬ೝͰ͖Δ • OTFʹରͯ͠1.1ഒͷײ౓ɾ1.2ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূͨ͠
  57. Akio Taniguchi / Orion KLྖҬͷ13CO෼ࢠًઢͷੵ෼ڧ౓ਤ (USB) 13CO (1-0) 13CO (1-0)

    ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 34 40 2018.01.09 Science demonstration of FMLO method ໺ลࢁ 45m ʹ͓͚ΔOrion KLྖҬͰͷϚοϐϯά؍ଌͷ࣮ূ Ori-KL Ori-KL 45m ैདྷͷOTF FMLO • ՝୊2: ैདྷͷOTF؍ଌͱແໃ६Ͱ͋Γɺ͔ͭߴޮ཰Խ͕࣮ূ͞ΕΔ͔ʁ • 98 GHzଳɾ110 GHzଳͱ΋ʹOTF؍ଌͱແໃ६ͳεϖΫτϧɾϚοϓ • 110 GHzଳ (USB) Ͱ͸Φκϯًઢ͕ਪఆɾআڈ͞ΕΔ༷ࢠ΋֬ೝͰ͖Δ • OTFʹରͯ͠1.1ഒͷײ౓ɾ1.2ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূͨ͠
  58. Akio Taniguchi / Orion KLྖҬͷ13CO෼ࢠًઢͷੵ෼ڧ౓ਤ (USB) 13CO (1-0) 13CO (1-0)

    Orion KLྖҬͷCS෼ࢠًઢͷੵ෼ڧ౓ਤ (LSB) CS (2-1) CS (2-1) ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 34 40 2018.01.09 Science demonstration of FMLO method ໺ลࢁ 45m ʹ͓͚ΔOrion KLྖҬͰͷϚοϐϯά؍ଌͷ࣮ূ Ori-KL Ori-KL 45m ैདྷͷOTF FMLO • ՝୊2: ैདྷͷOTF؍ଌͱແໃ६Ͱ͋Γɺ͔ͭߴޮ཰Խ͕࣮ূ͞ΕΔ͔ʁ • 98 GHzଳɾ110 GHzଳͱ΋ʹOTF؍ଌͱແໃ६ͳεϖΫτϧɾϚοϓ • 110 GHzଳ (USB) Ͱ͸Φκϯًઢ͕ਪఆɾআڈ͞ΕΔ༷ࢠ΋֬ೝͰ͖Δ • OTFʹରͯ͠1.1ഒͷײ౓ɾ1.2ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূͨ͠
  59. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 35 40 2018.01.09 Science demonstration of

    FMLO method ໺ลࢁ 45m ʹ͓͚ΔOrion KLྖҬͰͷϚοϐϯά؍ଌͷ࣮ূ • ՝୊2: ैདྷͷOTF؍ଌͱແໃ६Ͱ͋Γɺ͔ͭߴޮ཰Խ͕࣮ূ͞ΕΔ͔ʁ • LSBɾUSBͱ΋ʹFMLOͷڧ౓εέʔϦϯά͸ແໃ६ (0.98 - 0.99) • ैདྷͷOTF؍ଌͷOFF఺ʹ͸13CO͕ࠞೖ͍ͯ͠ΔՄೳੑ →Φϑηοτ • OFF఺ͷ13COʹؔ܎ͳ͘ɺFMLOͰ͸ਅͷϚοϓ͕ಘΒΕΔ͜ͱΛࣔࠦ ैདྷͷOTFͱFMLOͷϚοϓ (3D cube) ͷ pixel-to-pixel ϓϩοτ Ta* (ैདྷͷOTF) Ta* (ैདྷͷOTF) Ta* (FMLO) Ta* (FMLO) 45m CS (LSB) 13CO (USB) FMLO = (0.986±0.005) OTF + (0.057±0.013) FMLO = (0.982±0.005) OTF + (0.373±0.016)
  60. ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ Akio Taniguchi / 40 2018.01.09 36 Contents Development and

    verification of FMLO's signal processing Discussion and conclusions Science demonstration of FMLO method • αϒϛϦ೾෼ޫ؍ଌͷ՝୊఺ • ૬ؔࡶԻআڈʹجͮ͘෼ޫ؍ଌͷಋೖ • ຊݚڀͷ໨తͱ৽نੑʹ͍ͭͯ • ؍ଌํఔࣜͷهड़ͱ৴߸ॲཧͷ՝୊఺ • ͜ΕΛղܾ͢Δ৴߸ॲཧͷ։ൃͱ࣮ূ • ৴߸ॲཧʹج࣮ͮ͘ఱମ৴߸ͷ؍ଌ • ैདྷख๏ͱͷແໃ६ੑͱߴޮ཰ͷ࣮ূ • प೾਺มௐ؍ଌ͕࣮ূͨ͠ར఺ͱ੍ݶ • ࠓճಋೖͨ͠৴߸ॲཧͷࠓޙͷԠ༻ • प೾਺มௐ؍ଌͷࠓޙͷల๬ Introduction and objectives of this study
  61. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 37 40 2018.01.09 Discussion and future

    prospects FMLO͕࣮ূͨ͠εΠονϯά؍ଌʹର͢Δར఺ͱ੍ݶࣄ߲ FMLO؍ଌͷར఺ͱ੍ݶࣄ߲ εΠονϯά؍ଌ (PSW/FSW)ͱͷൺֱ • ؍ଌޮ཰޲্ɿ࣮ޮతʹײ౓͕޲্ • Φϑ఺ෆཁɿۜՏ໘؍ଌʹ͝རӹ • ௿ίετɿେ͖ͳϋʔυ΢ΣΞվमෆཁ • αΠυόϯυ෼཭ɿιϑτ΢ΣΞϕʔε • ࿈ଓ೾؍ଌɿ޿͕ͬͨ੒෼΁ͷײ౓͕ͳ͍ • ஍ٿେؾ෼ࢠɿًઢ͕ࠞೖ͢ΔՄೳੑ • ૬ؔࡶԻͱ͍͏֓೦ɿେؾ์ࣹ͕୎ӽ ͢ΔϛϦ೾/αϒϛϦ೾Ͱ΋࢖༻Մೳ • ײ౓ͷ޲্ɿϥΠϯϑϦʔͳεϖΫτϧ ͔ΒͷϊΠζ͕෇Ճ͠ͳ͍ • ޿؍ଌଳҬɿhigh-zًઢ؍ଌʹ࢖༻Մೳ ݕग़ૉࢠ มௐํ๏ ֓೦ਤ ࿈ଓ೾ଟૉࢠ Χϝϥ؍ଌ Χϝϥͷૉࢠ (Nch=100-10000) ๬ԕڸࢹ໺ΛৼΔ (ۭؒํ޲2࣍ݩ) ෼ޫ؍ଌ (FMLO๏) ෼ޫܭνϟϯωϧ (Nch=1000-4000) ؍ଌप೾਺ΛৼΔ (प೾਺ํ޲1࣍ݩ) ૬ؔࡶԻআڈΛ࣮ݱ͢ΔͨΊͷมௐ؍ଌख๏
  62. Akio Taniguchi / ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ 38 40 2018.01.09 Discussion and conclusions

    ॏΈ෇͖ओ੒෼෼ੳʹؔ͢Δߟ࡯ͱࠓޙͷԠ༻ • ૬ؔࡶԻআڈʹΑΔϊΠζ෇ՃΛ௿ݮ͢ΔͨΊͷݻ༗ϕΫτϧฏ׈Խ • ݻ༗ϕΫτϧͷܗঢ় (೾਺) ͕໌Β͔ʹͳΕ͹ɺద౰ͳฏ׈ԽϑΟϧλ (e.g. ૭௕, ࣍਺) ΛEM๏Λ༻͍ͨओ੒෼෼ੳதͰద༻͢Δ͜ͱͰɺฏ׈Խ ͞Εͨݻ༗ϕΫτϧ (=૬ؔࡶԻεϖΫτϧ) ͕ಘΒΕΔՄೳੑ (α→1) • ෼ޫνϟϯωϧ਺ D ͕૿େͨ͠ࡍͷܭࢉίετͷେ෯ͳ࡟ݮ • D > 1e4 Ͱ͸௨ৗͷओ੒෼෼ੳʹରͯ͠1ܻҎ্ͷܭࢉίετݮ • ෼ޫɾ࿈ଓ೾؍ଌʹؔΘΒͣࠓޙͷૉࢠ਺ͷ૿େʹରԠ͢Δख๏ ௨ৗͷPCA ޮ཰ͷྑ͍PCA* ॏΈ෇͖EMPCA ASTE/MAC (D=1024) NRO45m/SAM45 (D=4096) XFFTS (D=32768) PolariS (D=131072) ෼ޫ఺਺ (ݸ) 1,000 10,000 100,000 100 ܭࢉྔ (㲍ුಈখ਺఺ԋࢉճ਺) 107 109 1011 1013 1015 1017 *্Ґkݸͷओ੒෼ͷΈܭࢉ ͢ΔΞϧΰϦζϜͷ৔߹ 102ഒߴ଎Խ 104ഒߴ଎Խ ಉ౳ or ਺ഒ௿଎
  63. ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ Akio Taniguchi / 40 2018.01.09 39 ~ FY 2016

    FY 2017 FY 2018 FY 2019 ~ • 45m/ASTE΁ͷFMLO౥ࡌ • ৴߸ॲཧͷ։ൃͱࢼݧ • pointing/mapping؍ଌͷ࣮ূ • LMT΁ͷ౥ࡌɾࢼݧ • ෳ਺ૉࢠFMLOͷ࣮ূ
 (໺ลࢁ45m / FOREST) • ৴߸ॲཧͷߴਫ਼౓Խ • มௐύλʔϯ࠷దԽ • ౤ߘ࿦จɾത࢜࿦จ • 45m/ASTEڞಉར༻ʁ • ALMA TP Array΁ͷԠ༻ʁ Discussion and conclusions
  64. ૬ؔࡶԻআڈʹجͮ͘αϒ/ϛϦ೾෼ޫͷͨΊͷFM؍ଌख๏ͷ։ൃ Akio Taniguchi / 40 2018.01.09 40 Earth ஍ٿେؾًઢ͕ࠞೖ ͢Δ͜ͱΛੵۃతʹ׆༻

    ͨ͠ɺ஍ٿߴ૚େؾʹର ͢Δ৽ͨͳ؍ଌखஈ High-z ۜՏͷfaint & broadͳ ෼ࢠɾݪࢠΨεͷݕग़΍ɺ GRB࢒ޫʹର͢Δ୹࣌ؒ ͷ෼ޫ؍ଌ(ٵऩઢ୳ࠪ) Galactic Φϑ఺Λ཭Εͨ৔ॴʹऔ Δඞཁ͕͋ΔۜՏ໘ʹ ର͢Δɺߴޮ཰ͳ ޿Ҭ෼ࢠΨε୳ࠪ FMLO ہ෦ൃৼثͷप೾਺Λ มௐ͠ɺ૬ؔࡶԻΛআڈ͢Δ ͜ͱͰߴޮ཰؍ଌΛՄೳʹ͢Δɺ ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ Discussion and conclusions
  65. Discussion and conclusions ϔςϩμΠϯड৴ػͷ؍ଌํఔࣜͱڧ౓ֱਖ਼๏ΛFMLO๏΁ͱ֦ுͨ͠ࡍ ͷ৴߸ॲཧͷํ๏ͷ՝୊఺Λࢦఠ͠ɺ͜ΕΛղܾ͢Δख๏ΛఏҊͨ͠ • प೾਺มௐґଘͷήΠϯΛิਖ਼্ͨ͠Ͱ૬ؔࡶԻআڈΛߦ͏͜ͱͰɺήΠϯมಈ ͷӨڹͱ͸ಠཱͯ͠૬ؔࡶԻ͕෼ޫ؍ଌσʔλʹଘࡏ͢Δ͜ͱΛࣔ͠ɺ͜ΕΛਪ ఆɾআڈͰ͖Δ͜ͱΛ࣮ূͨ͠ •

    ॏΈ෇͖ओ੒෼෼ੳΛಋೖ͢Δ͜ͱͰɺ஍ٿେؾًઢͱ૬ؔࡶԻͱΛผʑʹਪ ఆɾআڈͰ͖Δ͜ͱΛ࣮ূͨ͠ • ًઢຒΊࠐΈγϛϡϨʔγϣϯʹΑΓɺมௐ෯͸ًઢ෯ΑΓ޿͘ɺมௐεςοϓ ΛͦͷதͰେ͖͘ͱΔ΂͖ͱ͍͏มௐύλʔϯͷࢦ਑Λಘͨ ࣮ఱମ৴߸ͷ؍ଌ͔ΒɺFMLO๏ʹΑΔҰ఺ɾϚοϐϯά؍ଌ͸ैདྷͷε Πονϯά؍ଌͱໃ६ͳ͘ɺ͔ͭߴޮ཰Ͱ͋Δ͜ͱΛ࣮ূͨ͠ Ҏ্ΑΓαϒ/ϛϦ೾෼ޫఱจֶʹ૬ؔࡶԻআڈʹجͮ͘؍ଌख๏͕ಋೖ Ͱ͖Δ͜ͱΛ؍ଌख๏ͱղੳख๏ͷ྆໘ͰॳΊ࣮ͯূͨ͠ݚڀͰ͋Δ