400 research outputs found
Millimeter line observations toward four local galaxies
We present results of millimeter line observations toward four local gas-rich
galaxies (NGC 3079, NGC 4258, NGC 6240 and VII Zw 31) with the IRAM 30 meter
millimeter telescope. More than 33 lines in these four sources were detected,
including normal dense gas tracers (HCN 1-0, HCO 1-0, and CH 1-0, etc)
and their isotopic species. HCN (1-0) and HCO (1-0) are
detected for the first time in NGC 4258. Optical depths of HCN 1-0 and
HCO 1-0 were estimated with detected isotopic lines in NGC 4258, which
were 4.1 and 2.6, respectively. HCN , which requires high volume
density and high temperature to excite, was detected in NGC 6240. High ratios
of HCO/HCN in NGC 4258 and NGC 6240 imply that this ratio might not be a
perfect diagnostic tool between AGN and starburst environments, due to
contamination/combination of both processes. The low HCN/HCN line ratios
with less than 0.15 in NGC 4258, NGC 6240 and the non-detection of HCN line
in NGC 3079 and VII Zw 31 indicates that these four galaxies are HCN-poor
galaxies. The variation of fractional abundance of CN in different types of
galaxies is large.Comment: 15pages, 13 figures; accepted for publication in MNRA
Distribution of HNCO 5 in Massive Star-forming Regions
The goal of this paper is to study the spatial distribution of HNCO in
massive star-forming regions, and investigate its spatial association with
infrared sources, as well as physical conditions in region of HNCO emission. We
have mapped nine massive star-forming regions in HNCO 5 with the
Purple Mountain Observatory 13.7m telescope. The C18O maps of these sources
were obtained simultaneously. The HNCO emission shows compact distribution,
with emission peak centred on water masers. Nearly all the HNCO clumps show
signs of embedded mid-infrared or far-infrared sources. The FWHM sizes of HNCO
clumps are significantly smaller than C18O clumps but rather similar to HC3N
clumps. We also found good correlation between the integrated intensities,
linewidths and LSR velocities of HNCO and HC3N emission, implying similar
excitation mechanism of these two species. As such, collisional excitation is
likely to be the dominant excitation mechanism for HNCO 5
emission in galactic massive star-forming regions.Comment: 9 pages, 4 figures, accepted by A&
China’s perspective on similar biotherapeutic products
AbstractIn order to ensure most Chinese patients, particularly in the population with relatively low incomes, have access to safe, low cost, effective and quality-assured medicines, a number of “stand-alone” biological products, which have good quality, safety and efficacy have been marketed in China. Many countries and regions’ regulatory agencies are actively engaging in the development of bio-similar guidance and documents, which is being coordinated by WHO. As a major developing country of new drug development, China is now working hard to promote the process of new similar biotherapeutic products (SBPs) approval and also actively involved in developing and updating technical documents
The dependence of the IR-radio correlation on the metallicity
We have compiled a sample of 26 metal-poor galaxies with 12 + log(O/H) < 8.1
with both infrared continuum and 1.4 GHz radio continuum data. By comparing to
galaxies at higher metallicity, we have investigated the dependence on the
metallicity of the IR-radio relationship at 24 um, 70 um, 100 um and 160 um
bands as well as the integrated FIR luminosity. It is found that metal-poor
galaxies have on average lower qIR than metal-rich ones with larger offsets at
longer IR wavelengths, from -0.06 dex in q24um to -0.6 dex in q160um. The qIR
of all galaxies as a whole at 160 um show positive trends with the metallicity
and IR-to-FUV ratio, and negative trends with the IR color, while those at
lower IR wavelengths show weaker correlations. We proposed a mechanism that
invokes combined effects of low obscured-SFR/total-SFR fraction and warm dust
temperature at low metallicity to interpret the above behavior of qIR, with the
former reducing the IR radiation and the latter further reducing the IR
emission at longer IR wavelength. Other mechanisms that are related to the
radio emission including the enhanced magnetic field strength and increased
thermal radio contribution are unable to reconcile the IR-wavelength-dependent
differences of qIR between metal-poor and metal- rich galaxies. In contrast to
qIR, the mean total-SFR/radio ratio of metal-poor galaxies is the same as the
metal-rich one, indicating the 1.4 GHz radio emission is still an effective
tracer of SFRs at low metallicity.Comment: 25 pages, 11 figures, 4 tables. ApJ in pres
Large-Scale Spectroscopic Mapping of the Ophiuchi Molecular Cloud Complex I. The CH to NH Ratio as a Signpost of Cloud Characteristics
We present 2.5-square-degree CH N=1-0 and NH J=1-0 maps of the
Ophiuchi molecular cloud complex. These are the first large-scale maps
of the Ophiuchi molecular cloud complex with these two tracers. The
CH emission is spatially more extended than the NH emission. One
faint NH clump Oph-M and one CH ring Oph-RingSW are identified
for the first time. The observed CH to NH abundance ratio
([CH]/[NH]) varies between 5 and 110. We modeled the CH
and NH abundances with 1-D chemical models which show a clear decline
of [CH]/[NH] with chemical age. Such an evolutionary trend is
little affected by temperatures when they are below 40 K. At high density
(n 10 cm), however, the time it takes for the abundance
ratio to drop at least one order of magnitude becomes less than the dynamical
time (e.g., turbulence crossing time 10 years). The observed
[CH]/[NH] difference between L1688 and L1689 can be explained by
L1688 having chemically younger gas in relatively less dense regions. The
observed [CH]/[NH] values are the results of time evolution,
accelerated at higher densities. For the relative low density regions in L1688
where only CH emission was detected, the gas should be chemically younger.Comment: Accepted by ApJ, 45 pages, 10 figure
Radar-based Hail-producing Storm Detection Using Positive Unlabeled Classification
Machine learning methods have been widely used in many fields of weather forecasting. However, some severe weather, such as hailstorm, is difficult to be completely and accurately recorded. These inaccurate data sets will affect the performance of machine-learning-based forecasting models. In this paper, a weather-radar-based hail-producing storm detection method is proposed. This method utilizes the bagging class-weighted support vector machine to learn from partly labeled hail case data and the other unlabeled data, with features extracted from radar and sounding data. The real case data from three radars of North China are used for evaluation. Results suggest that the proposed method could improve both the forecast accuracy and the forecast lead time comparing with the commonly used radar parameter methods. Besides, the proposed method works better than the method with the supervised learning model in any situation, especially when the number of positive samples contaminated in the unlabeled set is large
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