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        Extragalactic HI Survey with FAST: First Look at the Pilot Survey Results

        2022-08-02 08:19:50JiangangKangMingZhuMeiAiHaiyangYuandChunSun

        Jiangang Kang, Ming Zhu, Mei Ai, Haiyang Yu,3 , and Chun Sun

        1 National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China; kjg@nao.cas.cn, mz@nao.cas.cn

        2 CAS Key Laboratory of FAST, National FAST, National Astronomical Observatories, Chinese Academy of Sciences, Beijing 100101, China

        3 School of Astronomy and Space Science, University of Chinese Academy of Sciences, Beijing 100049, China

        4 Beijing Normal University, Beijing 100875, China

        Received 2022 January 20; revised 2022 April 1; accepted 2022 April 11; published 2022 June 6

        Abstract We present the first data release of H I sources extracted from a pilot extragalactic survey using the Five-hundredmeter Aperture Spherical radio Telescope(FAST).We extracted sources from three-dimensional(3D)spectral data cubes datacubes to perform interactive searching and computing, yielding global parameters for each source,extending redshift ranges of H I emission up to z=0.04.A total of 544 extragalactic H I sources has been detected by the pilot FAST H I drift scan survey covering part of the sky region in R.A. (R.A. or α) and decl. (decl. or δ)range 00h47m <R.A.(J2000)<23h22m and+24°<decl.(J2000)<+43°. Of which, 528 sources are matched with optical counterparts via examination of digital optical survey databases collected from NED and Vizier data center,and 449 of them have optical velocities.Furthermore,we detect 36 galaxies with H I mass <108 M⊙,which is significant for the study of low-mass systems in the local universe.We present catalogs for all H I detections with signal-to-noise ratio (S/N) greater than 5.1. The data are classified into four categories based on their S/N and baseline qualities, which are flagged with code 1 to 4: (1) 422 sources with S/N >6.5; (2) 61 sources with 5.1 ?S/N ?6.5;(3) 28 sources with relatively poor baselines; (4) 33 sources that are partly masked by strong radio frequency interferences (RFIs). In addition, we find 16 H I sources that have not been matched with any counterparts in the existing galaxy catalogs.This data release can provide guidance for the future extragalactic H I survey with FAST.

        Key words: galaxies: formation – radio lines: galaxies – surveys – galaxies: distances and redshifts – radiation:dynamics – galaxies: evolution

        1. Introduction

        Neutral atomic hydrogen (H I) is one of the key tracers for studying the evolution of a galaxy and matter distribution in the universe.The hydrogen content in a galaxy is usually presented in three states:neutral molecular(H2),neutral atomic(H I)and ionized (H II). H I is usually the major phase observed in the outer regions of galaxy disks(Warren et al.2004;Begum et al.2005; Heald et al. 2011; Koribalski et al. 2018). H I emissions are also detected in filaments, plumes and/or bridges, tracing the gravitational interactions with neighboring galaxies(Koribalski et al. 2003; Meyer et al. 2004; Pearson et al.2016). For many H I rich galaxies, the H I disks of spirals are usually much more extended than the stellar disks,which make them highly susceptible to external forces such as tidal interactions, gas accretion, and ram pressure stripping, while providing fuel for star formation (Meurer 1996; Begum &Chengalur 2005; Serra et al. 2012; Bosma 2017; Koribalski et al.2020).Therefore,the amount and extent of H I in galaxies vary significantly with environment (Cortese & Hughes 2009;Lemonias et al. 2013; Dénes et al. 2014; Stevens &Brown 2017).

        Over the past decades, a number of H I surveys has been conducted to detect H I in the local universe (Koribalski et al.2020), including the the H I Parkes All-Sky Survey (HIPASS;Staveley-Smith et al. 2000; Barnes et al. 2001; Meyer et al.2004) in the southern hemisphere, the Northern HIPASS catalogue (NHICAT; Wong et al. 2006), and the Effelsberg Bonn H I Survey (EBHIS; Kerp et al. 2011) in northern hemisphere. The Arecibo Legacy Fast ALFA Survey(ALFALFA;Giovanelli et al.2005a)provides improved spatial resolution and sensitivity over 7000 deg2. These surveys have played a key role in mapping the H I distribution,revealing the gas properties of nearby galaxies and providing a valuable census of the cosmic H I content at low redshift (Jones et al.2018a; Koribalski et al. 2020; Maddox et al. 2021). See Koribalski et al. (2020) for a review of the H I surveys.

        As the current largest single dish radio telescope in the world, one of the key scientific goals of Five-hundred-meter Aperture Spherical radio Telescope (FAST) is to perform a blind extragalactic H I sky survey over a cosmologically significant volume to exploit its superior sensitivity and angular resolution(Nan et al.2011).The FAST H I survey will enlarge the survey area to a solid angle of 23,000 deg2with the decl.range of-14°.3 <decl.<+66°.7 and up to a redshift of 0.35 to carry out a census of H I galaxies in the northern sky (Li et al.2018;Jiang et al.2019).As one of the long term key programs,the extragalactic H I survey is scheduled to be carried out simultaneously with several other projects(Galactic H I survey,pulsar search,fast radio burst search)in the Commensal Radio Astronomy FAST Survey (CRAFTS) with 19-beam receivers in the 1.05–1.45 GHz frequency range(L band)since 2020(Li et al.2018;Jiang et al.2019).One of the key scientific goals of the FAST H I survey is to investigate the H I mass function(HIMF)at lower redshifts and its dependence on galaxy group and cluster environment. HIMF plays a key role in revealing the galactic evolution history as a function of redshift and explaining several crises between observations and simulations at small scales based on the Λ Cold Dark Matter (ΛCDM)model (Obreschkow et al. 2009; Duffy et al. 2012; Weinberg et al. 2015; Jones et al. 2018b). For instance, the slope at the faint end of HIMF (Springob et al. 2005a; Zwaan et al. 2005;Jones et al. 2018b) is still a puzzle, and various H I surveys measure an abundance of low-mass H I systems that is far less than the number of dark matter sub-halos inferred from numerical simulations (Briggs et al. 1997; Klypin et al. 1999;Rosenberg & Schneider 2000; Barnes et al. 2001; Giovanelli et al. 2005a; Nan et al. 2011; Zhang et al. 2019). With its superior sensitivity and large sky coverage, FAST should be able to detect thousands of low mass galaxies with H I masses less than 108M⊙, and therefore will be able to increase the abundance of low mass H I galaxies and thus provide a viable solution to the“missing satellites”problem(Klypin et al.1999;Moore et al.1999;Giovanelli et al.2005a;Strigari et al.2007;Weinberg et al. 2015). In addition, according to recent observations,some of the Milky Way(MW)subhalos predicted by the ΛCDM model are significantly more massive than those resulting from stellar kinematics in its satellites,suggesting that the MW is missing a portion of subhalos, which is known as the “too big to fail” (TBTF) problem (Boylan-Kolchin et al.2011,2012).This phenomenon has been confirmed in the M31 environment(Tollerud et al.2014)as well as in a population of field dwarfs(Ferrero et al.2012;Papastergis et al.2015),which indicates that this paradox has nothing to do with environmental effects.The simplest and most direct way to investigate the connection between observations and ΛCDM predictions is offered by the rotational velocity function (Peebles 2001;Giovanelli & Haynes 2015; Klypin et al. 2015). The dark matter halo mass function corresponds to the rotational velocity function of galaxies.The rotational velocity of a galaxy can be inferred from its velocity width of H I profile as the H I gas can extend further than any other directly observable component.A large number of galaxies is required to derive the H I velocity function and to tackle the TBTF problem (Baldry et al.2008; Zwaan et al. 2010; Papastergis et al. 2011, 2013;Cattaneo et al. 2014; Giovanelli & Haynes 2015; Ai &Zhu 2018; Zhang et al. 2020).

        In order to test our ability to discriminate cosmic signals from radio frequency interference (RFI) and to optimize datataking and calibration procedures, we have carried out a pilot H I survey. This paper presents the first data release from this pilot H I survey,in a catalog containing 544 H I detections from the northern sky region in+24°<δ <+43°.Among them,302 H I detections are also presented in the ALFALFA catalog over the same sky area at the range +24 <δ <+36° (Haynes et al.2018), which enable us to make full comparison between the FAST and ALFALFA data sets. The FAST H I pilot survey was designed to cover a vast variety of cosmic environments,which includes several nearby over-density regions such as the Virgo Cluster and the Perseus-Pisces Supercluster (PPS) along with a large nearby cosmic void in its foreground (Saintonge et al. 2008).

        The rest of the paper is organized as follows. In Section 2,we briefly introduce the key FAST survey parameters and describe sky area covered, give an overview of the FAST H I observing and data reduction processes and present a search for 544 H I detections.In Section 3,we present the results from the statistical properties of the sample and a description of these H I detections and 16 H I sources with no optical counterparts and discuss the implications of these galaxies. Finally in Section 4 we summarize this work. We assume H0(Hubble Constant)=70 km s-1Mpc-1, Ωm(density parameter of matter)=0.3 and ΩΛ(density parameter of dark energy)=0.7 and we use natural unit for the speed of light throughout the paper.

        2. The Data

        2.1. Sky Coverage

        Figure 1 presents the footprint of 71 discontinuous datacubes in this data release of the pilot H I survey.They are distributed in the range of +24°<δ <+43° and 00h47m<R.A.<+24h00m. These specific regions were selected for their moderate zenith angles so that both sensitivity and pointing accuracy of the telescope were optimized. We scan these sky regions over a large R.A.range,and to test the performance of all the FAST equipment in a variety of conditions during the pilot survey (Nan et al. 2011; Jiang et al. 2019; Zhang et al.2020). In order to obtain some early science results, high density regions in the northern sky, such as the PPS, are targeted as a foremost sky region to study some important features of the local universe.

        2.2. FAST Observations and Data Reduction

        The data reported here were taken during the period of May 2020 to August 2021, and the pilot H I survey was carried out as a time-filler project when there were no other programs in the FAST observing queue. Although such type of project cannot be planned for specified targets, we can still do a blind search for H I emission.Our observational set-up was fixing the sky decl., and doing drift scans during the project time. Each scan lasted for about 1–8 hr. We also used some commissioning time to do calibration observations.The FAST H I survey is carried out with the drift scan mode employing FAST’s focalplane 19-beam receiver system, which is set in a hexagonal array and works in dual polarization mode, with a frequency range from 1050 to 1450 MHz. The 19-beam receiver was rotated by 23°.4 so that the beam tracks were equally spaced in decl. with 1 14 spacing (Li et al. 2018). For the backend, we choose the Spec (W) spectrometer which has 65,536 channels covering the bandwidth of 500 MHz for each polarization and beam, with a velocity spacing of 1.67 km s-1and a spectral resolution, after Hanning smoothing, of about 5 km s-1which is sufficient for resolving fine spectral structure and obtaining accurate column densities and velocity fields.

        The raw data output from each drift scan observation was reduced using a Python based data reduction pipeline HIFAST which was developed by Jing et al.(2022,in preparation).This pipeline consists of the following steps: (a) identify the calibration signal and calibrate the unit of the spectrum into kelvin. The calibration signal was from a standard 10 K noise diode which is injected every 32 s.The detailed procedure was described in Zhang et al. (2021); (b) convert the telescope pointing parameters to the precise position of R.A.and decl.for each spectrum; (c) subtract the baseline for each spectrum using the asymmetrically reweighted penalized least squares algorithm(Baek et al.2015);(d)calibrate the flux unit from TAkelvin to Jy using the conversion factor 16 K Jy-1(Jiang et al.2019); (e) correct the Earth’s rotation and convert the redshift velocity from local standard of rest to the heliocentric velocity in the equatorial coordinate system;(f)finally,create the threedimensional (3D) datacubes consisting of R.A. and decl., and velocity in FITS data format. Once a data file is processed by the pipeline, the drift scan data were gridded to form 3D datacubes with 1′ spacing.To limit the size of the datacube,the velocity coverage of the datacube for the pilot survey is limited to the range from -2000 to 19,000 km s-1.

        Finally, we perform interactive search for H I emission lines in 71 datacubes as shown in Figure 1. The datacubes were displayed with the Starlink5http://starlink.eao.hawaii.edu/starlinksoftware package and the H I emission sources were identified by human eyes and extracted manually. The final list of the H I catalog containing 544 sources is presented in Table 1.

        2.3. Optical Counterparts of the H I Detections

        For each H I detected source, we searched for its optical counterpart using the NED database. Fields of 4′ × 4′ around each H I detection were inspected. The counterparts were usually found within a circle of 1 5 radius centered at the H I source position,and the offset between optical velocity and H I radio velocity was less than 300 km s-1and the two redshifts were almost equal with error less than 0.001. Once optical sources were found within the search cone, we chose those sources with the type “G”standing for a galaxy in NED.Most of the best matched counterparts were found to be from various existing catalogs such as the UGC catalog, NGC/IC catalog,6http://www.ngcicproject.org/WISE catalog,7https://irsa.ipac.caltech.edu/frontpage/2MASS8http://egg.astro.cornell.edu/alfalfa/data/index.phpcatalog, KUG9http://dbc.nao.ac.jp/cjads.htmlcatalog, MRK10https://heasarc.gsfc.nasa.gov/W3Browse/rosat/markarian.htmlcatalog, SDSS11http://skyserver.sdss.orgcatalog, MGC12https://heasarc.gsfc.nasa.gov/W3Browse/rosat/markarian.htmlcatalog, PGC13http://cseligman.com/text/atlas/pgcmisc.htmand GALEX14http://www.galex.caltech.edu/researcher/data.htmlcatalog, and CGCG.15https://heasarc.gsfc.nasa.gov/W3Browse/galaxy-catalog/uzc.htmlWe also found that 302 FAST detections had been detected by ALFALFA and reported in the Arecibo General Catalog (AGC).16http://egg.astro.cornell.edu/alfalfa/data/index.php

        There are a few objects whose counterparts have not been attributed to the catalogs listed above, but they match the position and velocity of the FAST detected H I sources perfectly. These galaxies were found in the VizieR Online Data Catalog. Notes on individual galaxies are as listed in Table 1:

        1. Col. 1: FAST galaxies catalog identification (FGC ID).

        2. Col. 2: Optical counterpart identification (Optical ID)number for these catalog detections

        Table 1 H I Detections and Their Optical Counterparts Without Special Catalogs

        Figure 2.Pointing offsets between measured H I coordinates and the coordinates of the corresponding 527 optical counterparts in four different S/N bins,for which the mean pointing errors in(R.A.,decl.)coordinates in the unit of arcsecond(″)are(19.4,17.8),(20.5,16.2),(21.6,18.1)and(20.8,20.1),respectively for the four plots from top-left to bottom-right.

        3. Col. 3 and Col. 4: The R.A. and decl. of FAST galaxies.

        4. Col. 5 and Col. 6: The R.A. and decl. of Optical counterpart.

        5. Col.7: the position offset of FAST and optical counterparts.

        6. Col.7 and Col 8: FAST source H I velocity and optical counterparts velocity.

        7. Col.9: velocity offset between FAST and counterparts.

        With the drift scan mode,most of the FAST observations are

        sampled at a fixed azimuth angle, and the zenith angle varies for different sources.To investigate possible dependence of the overall technical performance of the FAST telescope on pointing directions, we check the positional accuracy of the H I detections by comparing the H I detected position with the optical counterpart’s position. The foremost key limitation factor for the positional accuracy of FAST sources is the resolution of the FAST beams, which are in an approximately circular shape, with half power beam widths of 2′.95. The second key parameter affecting the quality of the FAST position accuracy is the signal-to-noise ratio (S/N) of the H I emission. High-S/N sources are located in more accurate centroids than those low-S/N ones. Positional accuracy can also be affected by other factors, including the systematic pointing offsets of the telescope,asymmetry in the H I profiles,centers of the optical and H I emission, statistical errors in the H I sources and mismatch of optical counterparts. Figure 2 displays the position offsets between these H I sources and optical counterparts in the detected 527 sources,represented by black points. Each point stands for the offset of the optical source’s R.A. and decl. coordinates from the center of the H I source coordinates in four different S/N panels. The average offset is about 20″. Such accuracy is excellent considering the 2.′9 size of the FAST beam. In the panel of S/N objects (S/N >12),the mean position offsets for R.A.and decl.are 20 8 and 20 1,respectively.The velocity offset between counterpart and H I emission for 544 sources is within 300 km s-1with the largest value being 218.6 km s-1and the average is 94.7 km s-1.

        3. Results

        3.1. Catalog Presentation

        Here, we list 544 H I detections together with their optical counterparts in Table 2. The paper version lists 50 representative objects and the rest of the table is available online. These are detections acquired from 71 different datacubes with RFI and background level broadly removed. Table 3 shows 50 of 527 sources with optical counterparts that have optical redshift measurements, and the remaining H I sources and counterparts are available online.There are 16 sources that have no matchedoptical counterparts, which are listed in Table 4. The contents of the different columns in Tables 1 and 3 respectively are:

        Table 2 50 H I Detections with Optical Counterparts

        Table 2(Continued)

        Table 2(Continued)

        Table 3 50 H I Candidate Detections and Optical Counterparts

        Table 4 16 H I Candidate Detections With No Counterparts

        1. Col. 1: FAST galaxies catalog identification (FGC ID).

        2. Col. 2: Optical counterpart identification (Optical ID)number for these catalog detections.

        3. Cols. 3 and 4: Centroid position of each H I source in R.A. and decl., J(2000).The positional average accuracy is about 20″ and the accuracy of the H I positions depends on source emission intensity.

        4. Cols. 5 and 6: J(2000) decl. and R.A. of the optical counterpart of the H I detection. Counterpart objects are examined based on spatial offset, morphology, galaxy type,magnitude,and velocity or redshift.If an H I source detection’s optical counterpart cannot be found in the optical survey catalogs, the corresponding optical ID is kept empty.

        5. Col. 7: Heliocentric redshift velocity of the H I sources,cz⊙, taken at the midpoint between the channels where the flux density reaches its maximum value of the two flux peaks or one. Units are km s-1.

        6. Col. 8: Velocity width of the spectral line profile, W50,measured at the 50% level of the flux peaks, as in the description of Col. 6.

        7. Col.9:Integrated flux density of the source,Fc,in Jansky km s-1(Jy km s-1). This is measured on the integrated full spectral line after removing the baseline and background noise. Note that the uncertainty in the total flux calibration is about 10%, mostly due to the fact that no flux calibrators were measured during many of the drift scan observations, and we only use the average conversion factor 16 K Jy-1to convert from TAscale to Jy scale.

        13. Col.15: Object code, sources with (S/N)p≥6.5 are labeled code 1, sources with 5 ≤(S/N)p<6.5 are recorded as code 2, and sources with relatively poor baselines or that are partly masked by strong RFIs are flagged with code 3 and 4, respectively.

        In Table 3,we show the first 50 sources of 527 counterparts with basic parameters, for which column (1) to column (6) are FGC ID,optical ID,H I line velocity,optical velocity,apparent magnitude and object type, respectively. Here H I radio velocity has been transformed to optical velocity in column(3).

        3.2. General Properties of the Detections

        We first describe some basic properties of the 544 H I detections by FAST. About 28.9% of FAST detections have cz <3000 km s-1. The detection rate decreases when the FAST survey scans a sky region much larger than the supergalactic plane and extends to the low density environment outside the northern part of the Virgo Cluster.In this data release we did not include any sources that are in any doubt with regard to RFIs.Many tentative detections need to be confirmed with future observations and are not included in this catalog. Thus the H I detection rate with a single pass of drift scan is much lower than that of ALFALFA.We estimate a detection rate of about 0.8 per square degree for the pilot FAST survey area of about 681 square degrees,which is much lower than the average rate of 5.4 objects per square degree found in Haynes et al.(2018)where the survey area crosses the northern part of the Virgo Supercluster.

        Figure 3 presents the distribution in values of heliocentric velocity cz, velocity width W50, S/N, and H I mass MHIfor the H I detections in our catalog. The distances are inferred from redshifts along with the help of cosmic expansion dynamical theory. Due to the fact that many objects with less than 3000 km s-1are likely to be located in the Virgo Cluster sky region or even the Local Group region, the model yields great uncertainties caused by the peculiar motions. Thus, the real distance could be different from that listed in Table 2.However, it would be easy to scale the data once a more reliable distance is obtained. Plot (e) indicates somewhat overabundance in the sources with H I mass less than 108M⊙in our catalog, which could be due to larger uncertainties in the distance measurements for nearby sources. Redshift-independent distance estimates of those objects are necessary, in order to obtain reliable determination of the HIMF in Virgo and in the field galaxies (Giovanelli et al. 2007).

        Figure 3. Histograms of the H I detections from top to bottom respectively:heliocentric recessional velocity in km s-1,H I line width at half power(W50)in km s-1, logarithm of the flux integral in Jy km s-1, logarithm of the S/N,and logarithm of the H I mass in solar units.

        Figure 4. Log distribution of measured H I mass as a function of recession distance.

        The distribution of the H I mass of the detections as a function of heliocentric recession velocity is presented in Figure 4. It confirms that 72.4% of 544 sources were detected within 120 Mpc and the farthest distance is 185.5 Mpc with H I mass about 109.9M⊙.There are 489 sources with H I mass less than 1010M⊙.

        Furthermore, we show the S/N distribution in different velocity bins for all detections in Figure 5.Some galaxies,such as FGC 30, FGC 39, FGC 87, FGC 209, FGC 314, FGC 318,FGC 321 and FGC 327,have very high S/N(>100),indicating that these galaxies have high H I fluxes. Some of them have very high H I masses, such as FGC 30, with a distance of 135.8 Mpc and H I mass of 1010M⊙. In fact, a total of 55 gas rich galaxies has H I mass greater than 1010M⊙.There are also many dwarf galaxies detected within the distance of 25 Mpc with H I mass larger than 107M⊙. The FAST H I survey will detect a large sample of this type of object with its superior sensitivity and efficiency, covering a variety of cosmic environments from voids to galaxy groups and clusters.

        3.3. The Properties of the FAST Detections

        The H I survey completeness can be defined as the fraction of cosmic sources of a given integrated flux density within the survey solid angle that are detected by a radio telescope(Giovanelli et al. 2005b). Although the sky coverage of the pilot survey is small,and the sky distributions of the datacubes are discontinuous, we can still try to get a sense of the completeness of the FAST survey.

        Figure 5. The velocity distribution of all detections with the S/N in five different velocity cz intervals, presented as color scatters.

        where S/N is a fiducial S/N value for a detection and rms is the rms background noise over a pixel after smoothing the spectrum, the noise rms is in unit of Jy and the width in km s-1.

        Assuming a critical parameter of 200 km s-1as the threshold width, for the one-pass drift scan of the FAST survey, the empirical relationship between the integrated flux density detection threshold (S21,th, in Jy km s-1) and the profile width(W50, in km s-1) from the pilot observations of FAST survey can be expressed in terms of the S/N as (Giovanelli et al.2005b; Haynes et al. 2011)

        Note that the normalization factor of 0.11 here is different from that in Haynes et al.(2011)because the FAST data have a lower rms (2.5 mJy at 5 km s-1resolution) than that of ALFALFA(3.5 mJy at 10 km s-1resolution).It should also be noted that there is about 10%uncertainty in the flux calibration for the pilot FAST survey data due to the lack of observation time for calibrator measurements.

        Figure 6. H I flux integral plotted vs. velocity width, for the detected sample.The two dashed lines correspond to the flux threshold F one obtains for an S/N of, respectively, 5 and 6.5, using Equation (3).

        Figure 6 displays a plot of the H I integrated fluxes of the H I detections versus their line width. This figure shows that the flux sensitivity limit of the survey depends on the velocity width. Lower fluxes can be detected for smaller line widths in Equation (3). The blue and black dashed lines in Figure 6 signify the possible detection thresholds at levels of S/N=5 and 6.5,respectively.The median line width W50 for a typical galaxy is 143.56 km s-1. The H I flux is positively correlated with the line width. The integrated H I flux traces the H I gas mass, while the line width traces the galaxy rotation curve which is related to the total mass of the galaxy. These two parameters are naturally correlated with each other because the H I mass is correlated with the total mass of the galaxy (Ai &Zhu 2018; Guo et al. 2020).

        Since the data from the FAST pilot survey were reduced with an H I pipeline in-development, the RFI mitigation and standing wave removal depend heavily on human interactions.The automated source finding codes for the FAST survey are also under development, and the H I detections were identified by human eyes. Hence, it is possible that a few weak H I sources could be missed due to human mistakes or due to RFI contamination in the spectra. As affirmed in Figure 6, most of the detected sources have relatively high S/N (with S/N >6.5). The sources with 5 <S/N <6.5 are relatively rare,suggesting that the H I sources in this S/N range were not completely identified. In the next section we will further evaluate the completeness of our FAST detections by comparing with the ALFALFA data set.

        Figure 7. The comparisons of ALFALFA and FAST sources for decl. 33°,+34°.5, red crosses represent ALFALFA sources and black solid dots mark FAST sources with a peak flux 10 mJy,while orange squares and blue triangles stand for ALFALFA and FAST sources with a peak flux of less than 10 mJy,respectively.

        3.4. Comparison with ALFALFA Detections

        The ALFALFA survey relied on the seven-horn Arecibo L-band Feed Array(ALFA)to blindly survey nearly 7000 deg2of high Galactic latitude sky over 4400 nighttime hours(Haynes et al.2018).Of the 544 FAST detected sources,302 of them are also detected by ALFALFA. Many of the FAST observed regions suffered serious RFI contamination, thus we chose two regions with less RFI effects to make a fair comparison with the ALFALFA data sets. Figure 7 compares the sources found in two declination ranges at 33°.02 <decl.<33°.9 with 32°.2 <R.A.<212°, and 33°.3 <decl.<34°.6 with and 338°.5 <R.A.<48°.5 and 137°.7 <R.A.<157°.5. In these ranges, FAST detects 194 sources, while ALFALFA contains 204 sources satisfying common heliocentric velocity range 100 < cz < 13,000 km s-1. The ALFALFA survey was conducted in two parts at 07h30m<R.A.<16h30mand 22h<R.A.<03hover +0°<decl.<+36°.We found that more than 90%of the ALFALFA sources with peak flux more than 10 mJy are also detected by FAST. Of the seven ALFALFA sources with peak fluxes less than 10 mJy, five of them are detected by FAST. There are about 10%–20% of ALFALFA sources not detected by FAST due to RFI contamination.

        Figure 7 demonstrates the FAST detection rate is slightly lower than that of ALFALFA for the regions we compared.The detection rate is much lower at the edge of the FAST scan maps due to lower sensitivity in these areas. Moreover, there are strong RFIs in the frequency range of 1100–1300 MHz which could impact the detection rate(Zhang et al.2021).As a result,the baselines are poor for some FAST sources, and some galaxies’ spectra miss a part of the flux due to RFI masking.

        Figure 8. Left: Comparison between the properties of galaxies as measured by FAST and ALFALFA H I observations compiled by Haynes et al. (2018): (a)heliocentric recessional velocity in km s-1,(b)H I velocity width at half of peak spectrum in km s-1,and(c)logarithm of the flux integral in Jy km s-1.Right panel:Bar chart for the flux difference in percentage for the sources detected by both FAST and ALFALFA.

        To further check the telescope performance and our calibrations, we compare the FAST detected H I spectra with those of the ALFALFA survey. Figure 9 shows ten representative H I spectral profiles overlaid with the corresponding ALFALFA sources, where the x-axis labels the radio velocity in the unit of km s-1and y-axis refers to the flux density in millijansky (mJy). The spectra measured with the FAST telescope match those from ALFALFA within 10%uncertainty. The FAST spectral resolution has been smoothed to 10 km s-1to match that of ALFALFA (Haynes et al. 2018)and baseline fittings are generally good for all sources

        Figure 8 in the left panel compares the ALFALFA measured values of velocity cz,line widths W50,and integrated fluxes Fcto those measured with the FAST H I drift scan observations for the 302 galaxies in common.The mean offsets are 57.5 km s-1and 40.2 km s-1,and the standard deviations are 121.6 km s-1and 30.7 km s-1for the cz and W50 measurements respectively.The FAST integrated fluxes are somewhat smaller than those measured with ALFALFA, which could be due to poor baseline fitting or affected by RFIs and standing waves.The flux difference estimated with Equation (4) for the 302 FAST-ALFALFA detected sources is presented as a bar chart in Figure 8,right panel.The flux differences are mostly±15%.The mean offset μ and standard deviation σ for the Gaussian fit to the bar chart (Figure 8) are -3.5% and 5%, respectively.From these results, we find no significant difference between the FAST and ALFALFA data sets considering the uncertainties in flux calibration for the pilot FAST H I survey which is about 10%.

        3.5. H I Sources with No Optical Counterparts

        Figures 10–17 present the H I spectra and intensity color maps for the 16 H I sources listed in Table 4, for which no optical counterparts have been matched.Four of these sources,e.g., FGC 10, FGC 31, FGC 44 and FGC 50, are located in regions not covered by current mainstream optical surveys,while other sources are within the optical survey area but they could be too faint to be detected by the optical surveys. It is possible that some H I detected sources are indeed optically dark galaxies, which have very low optical apparent magnitudes and are not detectable by optical telescopes. In Table 4,we mark the sources in the note column (12), where S stands for the sources that are too faint and beyond the SDSS survey detection limit of-22 mag in grz-band,while W signifies those beyond the WISE survey detection limit of -21 mag in W1/W2 band.17https://www.legacysurvey.org/viewer/Other parameters in this table are identical to those of Table 2.

        From Table 4 we can see that the H I sources without optical counterparts have an R.A. range from 0° to 110° with a maximum redshift of 0.024, and their H I masses vary from 108.5to 109.7M⊙. The total H I fluxes of these galaxies range from 0.7 to 5 Jy km s-1, and their line widths range from 25.9 to 385.4 km s-1. Based on the H I measurements of the fluxes and line widths, the gas properties of these optically “dark”galaxies appear to be normal. Future deep optical follow-up observations might be able to reveal some peculiar features in this type of galaxy.

        Figure 9. Ten typical H I spectral lines of all the sources in the unit of Jy km s-1 for source flux at different radio velocity (km s-1) ranges and overlapping corresponding ALFALFA source spectra.

        Figure 10. Left and middle plots show H I source spectral line and H I intensity mappings, respectively,and their counterpart images in the SDSS grz-band in right panel.Left and middle plots display H I source spectral line and H I intensity mappings,respectively,and their counterpart images in unWISE W1/W2 NEO6 band in the right panels.

        Figure 11.Left and middle plots show H I source spectral line and H I intensity mappings,respectively,and their counterpart image in the unWISE W1/W2 NEO6 band in the right panel. Left and middle plots display H I source spectral line, H I intensity mappings,respectively,and their counterpart image in unWISE W1/W2 NEO6 band in the right panel.

        Figure 12.Left and middle plots show H I source spectral line and H I intensity mappings,respectively,and their counterpart image in unWISE W1/W2 NEO6 band in right panel.Left and middle plots display the H I source spectral line and H I intensity mappings,respectively,and their counterpart image in the SDSS grz-band in the right panel.

        Figure 13.Left and middle plots show H I source spectral line and H I intensity mappings,respectively,and their counterpart image in the unWISE W1/W2 NEO6 band in the right panel.Left and middle plots display H I source spectral line and H I intensity mappings,respectively,and their counterpart image in unWISE W1/W2 NEO6 band in the right panel.

        Figure 14.Left and middle plots show H I source spectral line and H I intensity mappings,respectively,and their counterpart image in unWISE W1/W2 NEO6 band in the right panel.Left and middle plots display the H I source spectral line and H I intensity mappings,respectively,and their counterpart image in the unWISE W1/W2 NEO6 band in the right panel.

        Figure 15.Left and middle plots show H I source spectral line and H I intensity mappings,respectively,and their counterpart image in the unWISE W1/W2 NEO6 band in the right panel.Left and middle plots display H I source spectral line and H I intensity mappings,respectively,and their counterpart image in the unWISE W1/W2 NEO6 band in the right panel.

        Figure 16.Left and middle plots show H I source spectral line and H I intensity mappings,respectively,and their counterpart image in the unWISE W1/W2 NEO6 band in right panel.Left and middle plots display the H I source spectral line and H I intensity mappings,respectively,and their counterpart image in the unWISE W1/W2 NEO6 band in the right panel.

        Figure 17.Left and middle plots show H I source spectrum line and H I intensity mappings,respectively,and their counterpart image in the unWISE W1/W2 NEO6 band in the right panel.Left and middle plots display H I source spectral line and H I intensity mappings,respectively,and their counterpart image in unWISE W1/W2 NEO6 band in the right panel.

        4. Summary

        We present a catalog of 544 H I detections from the FAST pilot H I survey in decl. range of +24°<δ <+43°. All these sources were identified as extragalactic objects with cz >100 and 527 of these sources can be matched with optical counterparts in online data archives. These detections are measured with a high confidence level in the accuracy of position and redshift measurements. In the catalog, we have classified these sources into four categories based on their S/N and baseline qualities. Among them, 302 sources are also detected by ALFALFA. In regions not affected by RFI and standing waves,the FAST measured H I fluxes and profiles are in general consistent with those of ALFALFA.More than 90%of ALFALFA detected sources with peak flux larger than 10 mJy were also detected in the FAST pilot H I survey. About 10%–20% sources were missed due to RFI contamination.Morethan90%ofthe objectshavelog10(MHI) <10and36of themhavelog10(MHI) <8.The fractionof sources withS/N >6.5 is 89.3%.Our pilot study found 16 new H I detections without optical counterparts in redshift range z <0.024. Some of them are quite massive in H I gas, but their optical fluxes could be too small to be detected in optical wavelengths.These objects feature a few peculiar physical characteristics that deserve further studies with multi-wavelength follow-up observations.

        Acknowledgments

        We acknowledge the supports of the National Key R&D Program of China No. 2017YFA0402600. This work has used data from the Five-hundred-meter Aperture Spherical radio Telescope (FAST). FAST is a Chinese national mega-science facility, operated by the National Astronomical Observatories,Chinese Academy of Sciences(NAOC).This research has also made use of the NASA/IPAC Extragalactic Database (NED)which is operated by the Jet Propulsion Laboratory, California Institute of Technology, under contract with the National Aeronautics and Space Administration.This research has made use of the VizieR catalog access tool,CDS,Strasbourg,France(DOI:10.26093/cds/vizier).

        ORCID iDs

        Haiyang Yu https://orcid.org/0000-0001-9838-7159

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