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周波数変調局部発振器による新しいミリ波サブミリ波分光法: VII. 輝線埋め込みシミュレーショ...

周波数変調局部発振器による新しいミリ波サブミリ波分光法: VII. 輝線埋め込みシミュレーションと天体信号による総合性能評価 / FMLO 2018-03-16

Akio Taniguchi

March 17, 2018
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  1. प೾਺มௐہ෦ൃৼث (FMLO) ʹΑΔ ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ ୩ޱڿ੕ - Akio Taniguchi (౦ژେֶ) ాଜ

    ཅҰ (໊ݹ԰େֶ); Տ໺ ޹ଠ࿠ (౦ژେֶ); ߴڮ ໜ, ৞୩ ਔஉ, લ઒ ३ (ࠃཱఱจ୆); ງࠐ ࣏ (෋࢜௨/θϩ); ञҪ ߶ (ి௨େ) 2018.03.16 @ ೔ຊఱจֶձय़ق೥ձ (؍ଌػث / V151a) VII. ًઢຒΊࠐΈγϛϡϨʔγϣϯͱ ఱମ৴߸ʹΑΔ૯߹ੑೳධՁ
  2. Akio Taniguchi / FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 2 11 2018.03.16 Introduction ϛϦ೾αϒϛϦ೾୯Ұڸ෼ޫ؍ଌͷߴޮ཰ɾߴײ౓Խͷཁٻ •

    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)
  3. Akio Taniguchi / FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 3 11 2018.03.16 Introduction ߴޮ཰ɾߴײ౓Խʹ޲͚ͨ؍ଌख๏ͷ՝୊఺ͱຊݚڀͷಈػ •

    OFF఺؍ଌʹΑΔ؍ଌޮ཰ ηobs (=ton/ttotal)ͷ௿Լ • OFF఺ΛऔΔͷ͕೉͍ۜ͠Տ໘αʔϕΠͰ΋ෆར • ON-OFF (ON1-ON2)ʹΑΔϕʔεϥΠϯ͏ͶΓ • ઢ෯͕޿͘, ڧ౓ͷऑ͍high-zͷًઢ؍ଌʹ͸ෆར • ON-OFF (ON1-ON2)ʹΑΔϊΠζϨϕϧͷѱԽ • ON఺ͱಉ͡OFF఺ͷ؍ଌ࣌ؒͰ΋√2ഒѱԽ ON OFF → େؾ+૷ஔͷࡶԻΛআڈ͢ΔͨΊͷεΠονϯά؍ଌ ৴߸ڧ౓ प೾਺ ૷ஔ+େؾ+ఱମ (ON఺) ৴߸ڧ౓ ૷ஔ+େؾ (OFF఺) प೾਺ ఱମ৴߸ ৴߸ڧ౓ प೾਺ ڧ౓ ֱਖ਼
  4. Akio Taniguchi / FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 3 11 2018.03.16 Introduction ߴޮ཰ɾߴײ౓Խʹ޲͚ͨ؍ଌख๏ͷ՝୊఺ͱຊݚڀͷಈػ •

    OFF఺؍ଌʹΑΔ؍ଌޮ཰ ηobs (=ton/ttotal)ͷ௿Լ • OFF఺ΛऔΔͷ͕೉͍ۜ͠Տ໘αʔϕΠͰ΋ෆར • ON-OFF (ON1-ON2)ʹΑΔϕʔεϥΠϯ͏ͶΓ • ઢ෯͕޿͘, ڧ౓ͷऑ͍high-zͷًઢ؍ଌʹ͸ෆར • ON-OFF (ON1-ON2)ʹΑΔϊΠζϨϕϧͷѱԽ • 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 45m high-z ؍ଌͷҰྫ
  5. Akio Taniguchi / FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 3 11 2018.03.16 Introduction ߴޮ཰ɾߴײ౓Խʹ޲͚ͨ؍ଌख๏ͷ՝୊఺ͱຊݚڀͷಈػ •

    OFF఺؍ଌʹΑΔ؍ଌޮ཰ ηobs (=ton/ttotal)ͷ௿Լ • OFF఺ΛऔΔͷ͕೉͍ۜ͠Տ໘αʔϕΠͰ΋ෆར • ON-OFF (ON1-ON2)ʹΑΔϕʔεϥΠϯ͏ͶΓ • ઢ෯͕޿͘, ڧ౓ͷऑ͍high-zͷًઢ؍ଌʹ͸ෆར • ON-OFF (ON1-ON2)ʹΑΔϊΠζϨϕϧͷѱԽ • ON఺ͱಉ͡OFF఺ͷ؍ଌ࣌ؒͰ΋√2ഒѱԽ Φϑ఺
 ๬ԕڸҠಈ
 ͦͷଞ 62% Φϯ఺
 ʢflaggedʣ 25% Φϯ఺
 ʢusedʣ 13% ؍ଌޮ཰ ૯؍ଌ࣌ؒ 45m high-z ؍ଌͷҰྫ େؾ+૷ஔͷ“૬ؔ”ࡶԻΛআڈ͢ΔͨΊͷΧϝϥࢹ໺มௐ؍ଌ ૷ஔ+େؾ+ఱମ (ON఺) ૷ஔ+େؾ (in-situਪఆ) ఱମ৴߸
  6. Akio Taniguchi / FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 4 11 2018.03.16 FMLO؍ଌͷར఺ FMLO؍ଌͷ੍ݶࣄ߲ •

    ؍ଌޮ཰޲্: ࣮ޮతͳײ౓͕޲্ • Φϑ఺ෆཁ: ۜՏ໘؍ଌʹ͝རӹ • αΠυόϯυ෼཭: ιϑτ΢ΣΞϕʔε • ௿ίετ: େ͖ͳ૷ஔվम͕ෆཁ • ࿈ଓ೾؍ଌ: ૬ؔࡶԻͱ۠ผͰ͖ͳ͍ • ஍ٿେؾ෼ࢠ: ًઢ͕ࠞೖ͢ΔՄೳੑ
 ͨͩ͠ɺେؾϞσϧࠐΈͷσʔλղੳ ͰআڈՄೳˠຊߨԋͷτϐοΫ ෮ௐɾੵ෼ ہ෦ൃৼث(LO)ͷप೾਺Λมௐ(FM)ͤ͞ఱମ৴߸͕ೖࣹ͢Δ෼ޫܭ νϟϯωϧΛ࣍ʑͱมԽͤ͞ͳ͕Β, ෼ޫܭग़ྗΛߴස౓(10Hz)ʹऔಘ ͢Δ͜ͱͰ, νϟϯωϧʹڞ௨ʹ߱Γ஫͙૬ؔࡶԻΛ෼཭͢Δ؍ଌख๏ “ ” The FMLO method Frequency-Modulating Local Oscillator (Tamura, Taniguchi et al.)
  7. Akio Taniguchi / FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 4 11 2018.03.16 FMLO؍ଌͷར఺ FMLO؍ଌͷ੍ݶࣄ߲ •

    ؍ଌޮ཰޲্: ࣮ޮతͳײ౓͕޲্ • Φϑ఺ෆཁ: ۜՏ໘؍ଌʹ͝རӹ • αΠυόϯυ෼཭: ιϑτ΢ΣΞϕʔε • ௿ίετ: େ͖ͳ૷ஔվम͕ෆཁ • ࿈ଓ೾؍ଌ: ૬ؔࡶԻͱ۠ผͰ͖ͳ͍ • ஍ٿେؾ෼ࢠ: ًઢ͕ࠞೖ͢ΔՄೳੑ
 ͨͩ͠ɺେؾϞσϧࠐΈͷσʔλղੳ ͰআڈՄೳˠຊߨԋͷτϐοΫ ෮ௐɾੵ෼ ہ෦ൃৼث(LO)ͷप೾਺Λมௐ(FM)ͤ͞ఱମ৴߸͕ೖࣹ͢Δ෼ޫܭ νϟϯωϧΛ࣍ʑͱมԽͤ͞ͳ͕Β, ෼ޫܭग़ྗΛߴස౓(10Hz)ʹऔಘ ͢Δ͜ͱͰ, νϟϯωϧʹڞ௨ʹ߱Γ஫͙૬ؔࡶԻΛ෼཭͢Δ؍ଌख๏ “ ” The FMLO method Frequency-Modulating Local Oscillator (Tamura, Taniguchi et al.)
  8. Akio Taniguchi / FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 5 11 2018.03.16 The FMLO method

    ͜Ε·Ͱͷ౸ୡ఺ͱຊߨԋͷ"૯߹"ੑೳධՁʹ͍ͭͯ • ͜Ε·Ͱʹ࣮ূͨ͠ݸʑͷख๏ΛؚΉશղੳख๏ʹͯ؍ଌσʔλΛղੳ • ًઢຒΊࠐΈγϛϡϨʔγϣϯʹΑΔղੳͷଥ౰ੑͷ֬ೝ • ًઢຒΊࠐΈγϛϡϨʔγϣϯʹΑΔप೾਺มௐύλʔϯͷ࠷దԽ • ࠷దύλʔϯͰͷ࣮ఱମ؍ଌʹΑΔղੳͷଥ౰ੑͷ֬ೝɾFMLOͷར఺ͷ࣮ূ 2015 2016 2017 ~ 2014 • 45m΁ͷFMLOγεςϜ౥ࡌ • ૬ؔࡶԻআڈख๏ͷ։ൃ • ASTE΁ͷFMLOγεςϜ౥ࡌ • 45mͰͷend-to-end ࣌ࠁಉظิਖ਼ • प೾਺มௐੑήΠϯͷิਖ਼ख๏ͷ։ൃ • ஍ٿେؾًઢআڈख๏ͷ։ൃͱ࣮ূ •૯߹ੑೳධՁ
  9. 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) प೾਺มௐ FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 6 11 2018.03.16 Verification of FMLO's signal processing ૯߹ੑೳධՁͰ༻͍ͨશղੳख๏ͷϑϩʔνϟʔτ
  10. 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) प೾਺มௐ FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 6 11 2018.03.16 Verification of FMLO's signal processing ON఺࣌ܥྻσʔλ͔Β ௚઀ਪఆ͕ՄೳͰ͋Δ ͜ͱΛ࣮ূ (2017) ૯߹ੑೳධՁͰ༻͍ͨશղੳख๏ͷϑϩʔνϟʔτ
  11. 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) FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 6 11 2018.03.16 Verification of FMLO's signal processing ૯߹ੑೳධՁͰ༻͍ͨશղੳख๏ͷϑϩʔνϟʔτ
  12. 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) FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 6 11 2018.03.16 Verification of FMLO's signal processing େؾϞσϧͷًઢڧ౓Λ ॏΈͱͯ͠༩͑Δओ੒෼ ෼ੳ (EMPCA) ͰআڈՄೳ Ͱ͋Δ͜ͱΛ࣮ূ (2017) ૯߹ੑೳධՁͰ༻͍ͨશղੳख๏ͷϑϩʔνϟʔτ
  13. Akio Taniguchi / TCalib TAtm TC TA* TA* ʔλ ਺)

    ON఺ ڧ౓ֱਖ਼ࡁ࣌ܥྻσʔλ ஍ٿେؾًઢͷਪఆྔ ஍ٿେؾًઢআڈࡁ ૬ؔࡶԻͷਪఆྔ ఱମ৴߸+ϗϫΠτϊΠζ ෮ௐࡁ࣌ܥྻσʔλ cal - - ਪఆ (൓෮త) ਪఆ (൓෮త) ෮ௐ FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 6 11 2018.03.16 Verification of FMLO's signal processing ૯߹ੑೳධՁͰ༻͍ͨશղੳख๏ͷϑϩʔνϟʔτ
  14. Akio Taniguchi / FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 7 11 2018.03.16 Verification of FMLO's

    signal processing γϛϡϨʔγϣϯʹΑΔղੳͷଥ౰ੑͷ֬ೝͱมௐύλʔϯ࠷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 • ՝୊: ैདྷ؍ଌͱໃ६ͳ͍εϖΫτϧΛऔಘͰ͖Δप೾਺มௐύλʔϯͷࢦ਑͸ʁ • ༷ʑͳύλʔϯͰ؍ଌͨ͠ϒϥϯΫεΧΠσʔλʹًઢϞσϧΛຒΊࠐΈ࠶ղੳ • ًઢϞσϧ: [Gauss, ۣܗ], S/N: [5, 30] σ, ઢ෯: [50, 100, 300] km/sͷ12௨Γ • มௐύλʔϯ͸มௐεςοϓͱ෯Λม͑ͨ30௨Γ • ܭ360௨ΓΛղੳ͠ɺϞσϧΛਖ਼͘͠"؍ଌ"Ͱ͖ΔมௐύλʔϯΛ֬ೝ͢Δ ޿ͯ͘଎͍ ڱͯ͘஗͍
  15. Akio Taniguchi / FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 8 11 2018.03.16 Verification of FMLO's

    signal processing γϛϡϨʔγϣϯʹΑΔղੳͷଥ౰ੑͷ֬ೝͱมௐύλʔϯ࠷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 • ًઢ෯ (FWHM) ΑΓ޿͍มௐ෯ͷύλʔϯͰ؍ଌ͢Ε͹ًઢ͸ड͔Δ • (Ϟσϧ) - (ղੳޙͷεϖΫτϧ) ͷreduced χ2͕1ʹे෼͍ۙ͜ͱΛ֬ೝ • PSWʹରͯ͠1.7ഒͷײ౓ɾ3.0ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূ • ࠷దͳύλʔϯͷ؍ଌσʔλͷϊΠζϨϕϧͱTsysͱͷൺֱ͔Β֬ೝ
  16. Akio Taniguchi / FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 9 11 2018.03.16 Science demonstration of

    FMLO method ࣮ఱମ؍ଌʹΑΔղੳͷଥ౰ੑͷ֬ೝͱFMLOͷར఺ͷ࣮ূ Orion KLΛத৺ͱ͢Δ൒ܘ30 arcsecͷྖҬͷεϖΫτϧ (USB) FMLO (େؾًઢআڈޙ) OTF FMLO (େؾًઢআڈલ) 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 • ՝୊: ैདྷͷOTF؍ଌͱແໃ६Ͱ͋Γɺ͔ͭߴޮ཰Խ͕࣮ূ͞ΕΔ͔ʁ • 98 GHzଳɾ110 GHzଳͱ΋ʹOTF؍ଌͱແໃ६ͳεϖΫτϧɾϚοϓ • 110 GHzଳ (USB) Ͱ͸Φκϯًઢ͕ਪఆɾআڈ͞ΕΔ༷ࢠ΋֬ೝͰ͖Δ • OTFʹରͯ͠1.1ഒͷײ౓ɾ1.2ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূͨ͠
  17. Akio Taniguchi / Orion KLྖҬͷ13CO෼ࢠًઢͷੵ෼ڧ౓ਤ (USB) 13CO (1-0) 13CO (1-0)

    FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ 10 11 2018.03.16 Science demonstration of FMLO method ࣮ఱମ؍ଌʹΑΔղੳͷଥ౰ੑͷ֬ೝͱFMLOͷར఺ͷ࣮ূ Ori-KL Ori-KL ैདྷͷOTF FMLO • ՝୊: ैདྷͷOTF؍ଌͱແໃ६Ͱ͋Γɺ͔ͭߴޮ཰Խ͕࣮ূ͞ΕΔ͔ʁ • 98 GHzଳɾ110 GHzଳͱ΋ʹOTF؍ଌͱແໃ६ͳεϖΫτϧɾϚοϓ • 110 GHzଳ (USB) Ͱ͸Φκϯًઢ͕ਪఆɾআڈ͞ΕΔ༷ࢠ΋֬ೝͰ͖Δ • OTFʹରͯ͠1.1ഒͷײ౓ɾ1.2ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূͨ͠
  18. FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ Akio Taniguchi / 11 2018.03.16 11 Summary and on-going

    plans • FMLO๏ͷڧ౓ֱਖ਼ɾ૬ؔࡶԻআڈʹඞཁͳશղੳख๏ͷ։ൃΛୡ੒ • γϛϡϨʔγϣϯͱ࣮ఱମ؍ଌʹΑͬͯղੳͷଥ౰ੑͱFMLOͷར఺Λ࣮ূ • ࠷దͳมௐύλʔϯͷࢦ਑ (ًઢ෯ΑΓมௐ෯Λ޿͘औΕ͹ྑ͍) Λಘͨ • Ұ఺؍ଌͰPSWͷ1.7ഒͷײ౓ɾ3.0ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূ • Ϛοϐϯά؍ଌͰOTFͷ1.1ഒͷײ౓ɾ1.2ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূ 2015 2016 2017 ~ 2014 • 45m΁ͷFMLOγεςϜ౥ࡌ • ૬ؔࡶԻআڈख๏ͷ։ൃ • ASTE΁ͷFMLOγεςϜ౥ࡌ • 45mͰͷend-to-end ࣌ࠁಉظิਖ਼ • प೾਺มௐੑήΠϯͷิਖ਼ख๏ͷ։ൃ • ஍ٿେؾًઢআڈख๏ͷ։ൃͱ࣮ূ •૯߹ੑೳධՁ
  19. FMLOʹΑΔ৽͍͠ϛϦ೾αϒϛϦ೾෼ޫ๏ɿ૯߹ੑೳධՁ Akio Taniguchi / 11 2018.03.16 11 Summary and on-going

    plans • FMLO๏ͷڧ౓ֱਖ਼ɾ૬ؔࡶԻআڈʹඞཁͳશղੳख๏ͷ։ൃΛୡ੒ • γϛϡϨʔγϣϯͱ࣮ఱମ؍ଌʹΑͬͯղੳͷଥ౰ੑͱFMLOͷར఺Λ࣮ূ • ࠷దͳมௐύλʔϯͷࢦ਑ (ًઢ෯ΑΓมௐ෯Λ޿͘औΕ͹ྑ͍) Λಘͨ • Ұ఺؍ଌͰPSWͷ1.7ഒͷײ౓ɾ3.0ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূ • Ϛοϐϯά؍ଌͰOTFͷ1.1ഒͷײ౓ɾ1.2ഒͷ؍ଌޮ཰ (Լݶ஋) ͷ޲্Λ࣮ূ • LMT΁ͷ౥ࡌɾࢼݧ • ෳ਺ૉࢠFMLOͷ࣮ূ
 (໺ลࢁ45m / FOREST) • 45m/ASTEڞಉར༻ʁ • ALMA TP Array΁ͷԠ༻ʁ 2016 2017 2018 प೾਺มௐੑήΠϯͷิਖ਼ख๏ͷ։ൃ ஍ٿେؾًઢআڈख๏ͷ։ൃͱ࣮ূ •૯߹ੑೳධՁ 2019 ~