Embedded newform data - 183.2.g.c.11.13

Formats: - HTML - YAML - JSON - 2024-06-15T15:33:54.988168

• mf_newforms •

  Column	Type
  Nk2	integer
  analytic_conductor	double precision
  analytic_rank	smallint
  analytic_rank_proved	boolean
  artin_degree	integer
  artin_field	numeric[]
  artin_field_label	text
  artin_image	text
  atkin_lehner_eigenvals	integer[]
  atkin_lehner_string	text
  char_conductor	integer
  char_degree	integer
  char_is_minimal	boolean
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  cm_discs	integer[]
  conrey_index	integer
  dim	integer
  embedded_related_objects	text[]
  field_disc	numeric
  field_disc_factorization	numeric[]
  field_poly	numeric[]
  field_poly_is_cyclotomic	boolean
  field_poly_is_real_cyclotomic	boolean
  field_poly_root_of_unity	integer
  fricke_eigenval	smallint
  has_non_self_twist	smallint
  hecke_cutters	jsonb
  hecke_orbit	integer
  hecke_orbit_code	bigint
  hecke_ring_generator_nbound	integer
  hecke_ring_index	numeric
  hecke_ring_index_factorization	numeric[]
  hecke_ring_index_proved	boolean
  inner_twist_count	integer
  inner_twists	integer[]
  is_cm	boolean
  is_largest	boolean
  is_maximal	boolean
  is_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  minimal_twist	text
  nf_label	text
  prim_orbit_index	smallint
  projective_field	numeric[]
  projective_field_label	text
  projective_image	text
  projective_image_type	text
  qexp_display	text
  related_objects	text[]
  relative_dim	integer
  rm_discs	integer[]
  sato_tate_group	text
  self_twist_discs	integer[]
  self_twist_type	smallint
  space_label	text
  trace_display	numeric[]
  trace_hash	bigint
  trace_moments	numeric[]
  trace_zratio	numeric
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 732, 'analytic_conductor': 1.461262356989431, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 183, 'char_degree': 2, 'char_is_minimal': True, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 4, 'char_parity': 1, 'char_values': [183, 4, [62, 124], [2, 1]], 'cm_discs': [], 'conrey_index': 11, 'dim': 28, 'has_non_self_twist': 1, 'hecke_cutters': [[2, [625, 0, 0, 0, 22059, 0, 0, 0, 184621, 0, 0, 0, 112415, 0, 0, 0, 24527, 0, 0, 0, 2245, 0, 0, 0, 83, 0, 0, 0, 1]]], 'hecke_orbit': 3, 'hecke_orbit_code': 9007611605156023, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 3, 2, -1, 2, 0], [1, 1, 61, 4, -1, 4, 0], [1, 1, 183, 7, 1, 4, 0]], 'is_cm': False, 'is_largest': True, 'is_maximal': False, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '183.2.g.c', 'level': 183, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 61], 'level_radical': 183, 'minimal_twist': '183.2.g.c', 'prim_orbit_index': 7, 'related_objects': [], 'relative_dim': 14, 'rm_discs': [], 'sato_tate_group': '1.2.3.c4', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '183.2.g', 'trace_display': [0, 0, 0, 4], 'traces': [28, 0, 0, 0, 0, -6, 4, 0, -4, -16, 0, -16, 16, 0, -40, 12, 0, -4, 0, 0, -18, -48, 0, 14, 36, 0, 0, -24, 0, -22, 32, 0, 2, 96, 0, 0, 8, 0, 0, 28, 0, 20, -32, 0, 0, 0, 0, 0, 0, 0, -24, 0, 0, -2, -40, 0, -16, -56, 0, 0, 64, 0, 40, 0, 0, 0, -12, 0, -30, -24, 0, 44, -72, 0, 0, 128, 0, -66, 0, 0, 28, -28, 0, 46, -44, 0, -12, 0, 0, -56, -64, 0, 36, -16, 0, 54, 0, 0, 32, 0, 0, 0, -64, 0, -10, 0, 0, 20, 0, 0, 64, -28, 0, 28, -24, 0, -40, 8, 0, 70, 0, 0, 84, -40, 0, 0, 0, 0, 40, -120, 0, 50, -44, 0, 76, 0, 0, 112, 60, 0, 0, -8, 0, -84, 4, 0, 48, -40, 0, 84, 60, 0, -72, -76, 0, -88, -64, 0, -96, -16, 0, 40, 0, 0, -66, -24, 0, 0, 212, 0, 0, 136, 0, 0, -68, 0, -42, 288, 0, 32, 12, 0, -12, -144, 0, 0, 0, 0, -6, -132, 0, 4, -68, 0, 172, -100, 0, -212, 16, 0, -106, 0, 0, -16, 120, 0, 40, -272, 0, 0, -168, 0, 56, -16, 0, 58, 96, 0, 0, 92, 0, 0, 56, 0, -172, 180, 0, 0, 0, 0, 0, 0, 0, -80, 0, 0, -22, -148, 0, -148, 88, 0, 0, 132, 0, -102, 0, 0, 0, 144, 0, 40, -72, 0, 76, -28, 0, 0, 208, 0, -36, 132, 0, -40, 24, 0, -60, 48, 0, 22, 0, 0, -22, 16, 0, 102, -8, 0, 56, 0, 0, -60, 0, 0, 0, 232, 0, 4, 0, 0, -40, 0, 0, 64, 100, 0, -66, 100, 0, -136, 96, 0, -32, 0, 0, 4, 0, 0, 0, 0, 0, 286, -12, 0, 88, -164, 0, 136, 0, 0, -80, 92, 0, 0, -424, 0, -76, -40, 0, 156, 36, 0, 136, 28, 0, -166, 60, 0, -172, 4, 0, -132, 36, 0, -42, 0, 0, -272, 136, 0, 0, 80, 0, 0, -156, 0, 0, -200, 0, 96, 52, 0, 140, -196, 0, -258, -96, 0, 0, 0, 0, -20, -168, 0, -68, 208, 0, 192, -112, 0, -296, 112, 0, -94, 0, 0, -56, -48, 0, 226, -88, 0, 0, -232, 0, -128, 200, 0, 96, 212, 0, 0, 4, 0, 0, -76, 0, -16, -20, 0, 0, 0, 0, 0, 0, 0, -178, 0, 0, -74, 64, 0, 72, -64, 0, 0, -56, 0, 130, 0, 0, 0, 108, 0, 256, 200, 0, 322, -336, 0, 0, 216, 0, 32, 184, 0, 128, 48, 0, 192, -4, 0, 90, 0, 0, -112, 40, 0, 32, -100, 0, -106, 0, 0, 8, 0, 0, 0, 248, 0, -4, 0, 0, -152, 0, 0, 92, 84, 0, 114, -60, 0, 32, 68, 0, 126, 0, 0, 0, 4, 0, 0, 0, 0, 244, -344, 0, 100, -196, 0, 108, 0, 0, 124, 140, 0, 0, -136, 0, -152, -76, 0, 200, 40, 0, 40, -16, 0, -24, -340, 0, -124, -56, 0, -24, -236, 0, -54, 0, 0, -60, 84, 0, 0, -200, 0, 0, -304, 0, 0, 108, 0, 216, 160, 0, -112, -328, 0, -232, -216, 0, 0, 0, 0, -92, -152, 0, 276, -156, 0, 148, -56, 0, -444, -152, 0, -112, 0, 0, 124, -120, 0, 150, -176, 0, 0, -224, 0, -76, 364, 0, 236, 176, 0, 0, 0, 0, 0, 296, 0, -52, 184, 0, 0, 0, 0, 0, 0, 0, -220, 0, 0, 88, -256, 0, -204, 16, 0, 0, 284, 0, -80, 0, 0, 0, 96, 0, 284, 128, 0, -22, -296, 0, 0, 412, 0, 72, 240, 0, -172, 72, 0, 260, -40, 0, 84, 0, 0, -100, 348, 0, 160, -232, 0, 24, 0, 0, 172, 0, 0, 0, 336, 0, 114, 0, 0, -212, 0, 0, 86, 184, 0, -52, -72, 0, -324, 296, 0, 146, 0, 0, -32, -216, 0, 0, 0, 0, 146, -216, 0, 86, -444, 0, 596, 0, 0, 52, 296, 0, 0, -56, 0, -248, -20, 0, -20, -44, 0, 212, 228, 0, -618, -8, 0, -324, 104, 0, -126, 152, 0, -92, 0, 0, -204, -16, 0, 0, 216, 0, 0, 84, 0, 0, -76, 0, 88, 272, 0, 212, -340, 0, -188, 272, 0, 0, 0, 0, -76, -168, 0, -224, 8, 0, 372, -568, 0, -344, -336, 0, -334, 0, 0, -40, 408, 0, 30, -344, 0, 0, -132, 0, -164, -32, 0, 48, 472, 0, 0, 104, 0, 0, 52, 0, -268, 188, 0, 0, 0, 0, 0, 0, 0, -288, 0, 0, 4, -112, 0, -84, -48, 0, 0, 12, 0, -52, 0, 0, 0, 88, 0, 156, -376, 0, 242, -40, 0, 0, 312, 0, -332, 52, 0, 44, 68, 0, 200, -312, 0, -28, 0, 0, -82, 360, 0, -16, 8, 0, 52, 0, 0, -200, 0, 0, 0, 248, 0, -248, 0, 0, -60, 0, 0, 212, 80, 0, 188, 144, 0, -340, 176, 0, 468, 0, 0, 44, 320, 0, 0, 0, 0, 74, -272, 0, 214, 120, 0, 268, 0, 0, 436, -256, 0, 0, 256, 0, -32, -76, 0, -4, -176, 0, 172, 228, 0, -182, -144, 0, -388, -124, 0, -56, 220, 0, 14, 0, 0, -178, -224, 0, 0, 168, 0, 0, -248, 0, 0, 136, 0, 212, 664, 0, -72, -80, 0, -64, -360, 0, 0, 0, 0, 30, -344, 0, -164, -292, 0, 76, -808, 0, -388, 416, 0, -106, 0, 0, 260, 432, 0, 68, 56, 0, 0, -228, 0, -242, 340, 0, 50, 240, 0, 0, 180, 0, 0, -52, 0, -432, 80, 0, 0, 0, 0, 0, 0, 0, -222, 0, 0, 92, -376, 0, -364, -240, 0, 0, 408, 0, -304, 0, 0, 0, 276, 0, 246, 176, 0, 100, -56, 0, 0, 592, 0, -30, 460, 0, 240, -64, 0, 236, -12], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

  Column	Type
  an_normalized	double precision[]
  angles	double precision[]
  char_orbit_index	smallint
  conrey_index	integer
  dual_conrey_index	integer
  dual_embedding_index	integer
  dual_embedding_m	integer
  embedding_index	integer
  embedding_m	integer
  embedding_root_imag	double precision
  embedding_root_real	double precision
  hecke_orbit	integer
  hecke_orbit_code	bigint
  label	text
  level	integer
  weight	smallint

  
  {'an_normalized': [[1.0, 0.0], [1.0882795515758565, -1.0882795515758565], [0.9992335638952132, 0.039144409374401466], [0.0, -1.3687047647562944], [-1.3858499775023436, 0.0], [1.130045515116103, -1.0448453945547522], [0.47373944653605715, 0.47373944653605715], [-0.40125385605286173, -0.40125385605286173], [0.9969354304294585, 0.07822881537151274], [-1.5081921920676613, 1.5081921920676613], [-0.6823996859667427, -0.6823996859667427], [0.05357713962431424, -1.3676557400077916], [-1.1678088125847088, 0.0], [1.0311219048801095, 0.0], [-1.384787812043768, -0.0542482788508568], [0.49535203168971115, 0.0], [0.25455135739653667, 0.25455135739653667], [1.170079263290675, -0.9998096230650342], [0.0, 1.7768505858277475], [0.0, 1.8968194674448613], [0.4548321046879604, 0.49192060635198004], [-1.4852832484787841, 0.0], [-0.24551478260434817, 0.24551478260434817], [-0.38523947540600756, -0.41665316581478834], [0.9205801601432464, 0.0], [-1.2709024508860203, 1.2709024508860203], [0.9931091223476594, 0.11719330659155318], [0.6484094377269113, -0.6484094377269113], [-1.0705520788308909, -1.0705520788308909], [-1.5660735517002757, 1.4479989665371307], [-0.057414492100927285, 0.057414492100927285], [0.94033534297233, -0.94033534297233], [-0.6551645375450775, -0.7085888028739679], [0.554046074161057, 0.0], [-0.6565318013239676, -0.6565318013239676], [0.10707215234022995, -1.3645102737831671], [1.1013866798943923, -1.1013866798943923], [1.933710158761919, 1.933710158761919], [-1.1669137617472558, -0.04571318623084952], [0.5560776473835871, 0.5560776473835871], [0.2981672728723089, 0.0], [1.0303316158237728, 0.04036265795953965], [-0.31424696274868913, 0.31424696274868913], [-0.9340037016508799, 0.9340037016508799], [-1.3816029438319544, -0.10841340202264593], [0.0, 0.5343774350358078], [0.0, -1.196173290173315], [0.49497237600804467, 0.01939026271290354], [0.0, -0.5511418735914205], [1.0018485638703223, -1.0018485638703223], [0.2443919975049659, 0.2643205225864451], [0.0, 1.5983854861090814], [-0.7254460620519274, 0.7254460620519274], [1.2083194294795505, -0.9532412711892557], [0.9457035894446169, 0.9457035894446169], [0.0, -0.380179559373883], [-0.06955376672878641, 1.7754887433859576], [-2.3301198725773657, 0.0], [0.07253139023338466, 0.07253139023338466], [-0.07424987774299582, 1.8953656765207492], [-0.6983858283436735, -0.7157214784877712], [0.0, 0.1249660354351054], [0.43522756334656576, 0.5093477147411094], [0.0, -1.551343419072002], [1.6184078166475575, 0.0], [-1.4841448737713152, -0.05814053551539438], [0.18190906407468, -0.18190906407468], [0.34840565574382215, -0.34840565574382215], [-0.2549371423684331, 0.23571608005296954], [-1.4289802686802733, 0.0], [1.194394267432733, 1.194394267432733], [-0.36863457187327286, -0.4314137995178066], [0.4924682947655306, 0.0], [0.0, -2.397233204214181], [0.9198745942711624, 0.036035566650599295], [2.431983863082451, 0.0], [0.0, -0.6465592990925279], [-1.3196771111744119, 1.2201796595495868], [-0.9982084530390775, -0.9982084530390775], [-0.6864836019729265, 0.0], [0.9877605048911395, 0.1559781554487714], [0.3244893460160723, -0.3244893460160723], [0.0, 0.15049861882545867], [0.6732940777957606, -0.6225308688505452], [-0.3527699929211814, -0.3527699929211814], [0.0, 0.6839770874084365], [-1.0278254402352474, -1.1116376978959932], [0.0, 0.547631010726835], [-0.15290644405309411, -0.15290644405309411], [-1.6215543207073406, 1.3855861436313044], [-0.55323710053381, -0.55323710053381], [0.33603725276867713, 0.33603725276867713], [-0.05961794394406518, 0.05512303117842111], [-1.3017709318368322, -1.3017709318368322], [0.0, -2.46244834439441], [0.9764235076293961, -0.902805764400342], [0.0, 1.4397741983876562], [-0.5997964310467484, -0.5997964310467484], [-0.6269251056111115, -0.7336917436972527], [0.0, -1.260002451528174], [-1.1366972478430057, 1.1366972478430057], [0.5536214332461047, 0.02168780633924041], [0.7659290338798622, 0.0], [0.4685877891821282, 0.4685877891821282], [-0.6303290620491536, -0.6817281612458308], [0.0, 1.5789762302046848], [-1.0953880811660324, 0.0], [0.16040303712940407, -1.3592731876801831], [0.0, 1.1124718058421459], [2.058379756488931, 0.0], [1.1436556684548889, -1.0574294063002911], [0.2346677973331952, 0.2346677973331952], [0.6038175948301554, 0.0], [1.8565341514140354, 2.0079220355460663], [0.3402466559487287, -0.3402466559487287], [-1.4652697312155964, 1.4652697312155964], [-1.1642299812334516, -0.09135629998891472], [0.15786885767672262, 0.0], [0.0, 0.24118203833607474], [0.5338841183244303, 0.5774187804707047], [0.0, -0.06866133718498171], [-1.5389440657586666, -0.018866033565094673], [0.29793874670911374, 0.011671581791362526], [0.0785834889046018, 0.0785834889046018], [0.11006398327872165, 0.0], [1.027961960066895, 0.0806634451223886], [0.0, -1.072212320450822], [-0.7479599774755041, -0.7479599774755041], [-0.32630712428511593, 0.301705100776122], [1.7612801329680647, -1.7612801329680647], [0.0, 0.704024912822459], [-0.9698488707465586, 0.8967268242373018], [-0.8417642131073061, 0.8417642131073061], [0.0, -0.395935829357553], [-1.376300254862876, -0.16241234130332924], [0.0, -0.204279427437701], [0.0, 0.4214031730826862], [-0.020917889077484285, 0.533967868876013], [1.0742029798071278, -1.0742029798071278], [-0.8985982046861473, 0.8985982046861473], [0.046823496953268956, -1.1952564997761448], [2.5996697155329365, 0.0], [0.7969123669770001, 0.7969123669770001], [0.49383399092668895, 0.03875080263095814], [1.4836245743628773, 1.4836245743628773], [0.5359431749927583, -0.5359431749927583], [0.02157412312323719, -0.5507194585606402], [-1.5074731966105703, -1.5074731966105703], [1.8257707533574492, 0.0], [1.0402974812747394, -0.9618639406441474], [0.2655746791805203, -0.2655746791805203], [0.7129681491931701, -0.7129681491931701], [0.2338580159121776, 0.2736845181928609], [-0.7036372640836163, -0.7036372640836163], [0.07956787258637857, -0.07956787258637857], [-0.06256785580635557, 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[-0.4851421167110092, -0.524702196172125], [0.0, -0.4325784417528014], [0.0, 0.4814602647758085], [0.43049470165699927, 0.5038088369475474], [0.3011304906670968, 0.0], [0.18757042066364193, -0.18757042066364193], [0.49647786991697535, -0.45904577199955393], [2.268924783238315, 0.0], [-0.36618348381022725, 0.36618348381022725], [-0.018389668856960216, 0.46943036424531925], [-0.07320447317897627, 0.07320447317897627], [0.03592857151338636, 0.03592857151338636], [-0.5750665883265088, -0.7289488536858377], [0.4667457496559645, -0.4667457496559645], [0.16602532812581228, -0.16602532812581228], [-1.4186866741858377, 1.311724366860547], [-0.5751088145457507, 0.0], [1.7801352076236698, 1.7801352076236698], [0.002940660827990082, -0.07506581517822448], [0.09677522289303912, -0.09677522289303912], [-0.13341062798902234, -0.13341062798902234], [-0.1235214399886895, 1.5741373476969913], [-0.8391370182271876, -0.8391370182271876], [1.2379323916864133, 0.0], [-0.05719345830785666, 1.4599689735981807], [0.7068360549118053, -0.7068360549118053], [-0.19963530598473006, 0.19963530598473006], [-0.08415771039125956, 2.148281459025216], [0.0, 0.9934071521935851], [0.0, 2.7995100617019997], [-1.092031188184557, -0.08569091196169315], [0.0, 1.2974923980981665], [1.4106992893929848, -1.4106992893929848], [-0.2628712718636304, 0.2430520134750903], [0.0, -0.6916038608319408], [-0.027550626307219658, 0.027550626307219658], [-0.4696580754040214, 0.43424806393831206], [-2.171456204348739, -2.171456204348739], [0.0, -0.05930182553423004], [0.2662458021012755, -1.3425594608545395], [1.0177846502424244, 0.0], [-0.7422810621586223, -0.7422810621586223], [-1.074237657662647, -0.0420826523010535], [-0.3459468389733405, -0.35453408849288137], [0.0, -0.32096789847273355], [-0.5376560872454894, -0.5814983281096322], [0.0, 0.2086866188082455], [1.0454166351522411, 0.0], [-0.0870273515052386, 1.1090625585978768], [-0.23362859881469172, 0.23362859881469172], [0.7128345997595541, -0.7128345997595541], [-0.11486580378456818, -0.12423233818460934], [1.0550509352974566, 0.0], [-0.5931351764612135, -0.5931351764612135], [0.5884222902041001, -0.5440580151410513], [-2.8400921873714906, 0.0], [0.0, -0.1543045494866422], [2.0520717085225764, 0.16102460993483195], [1.634930747439136, 0.0], [0.0, 0.10797775224261519], [-0.10483811160556582, -0.11338695509453474], [1.2315660922131224, 1.2315660922131224], [1.1334050757656904, 0.0], [0.20583029989988322, 0.008063285514078047], [0.20255010646272906, -0.20255010646272906], [0.0, 0.8706779365373232], [1.2228723058880386, -0.964722012182606], [-0.04416359770312476, -0.04416359770312476]], 'angles': [-0.23524530940307256, None, -0.3718391538940487, -0.0706344783079042, -0.20514093001860476, -0.3492378583123352, -0.09619592209947982, 0.17410008906977475, -0.4027708269504121, -0.4883334359007395, -0.3814631767801534, -0.23291485590109956, -0.22618381751645383, -0.410662901143357, -0.3979639270891316, -0.4607269955260207, -0.11683376799278014, None, -0.3544711602053869, 0.035070229805743154, -0.21040338963817048, -0.24971512125198164, 0.011987631004838592, -0.14224172592113948, 0.1279032220145594, 0.27358689116016455, -0.18745157505081372, -0.3422471052764362, 0.09387745266602518, -0.2011880942995294, -0.409947334408338, 0.05725126510893674, 0.033787417130671925, -0.2377031892968438, -0.066924485641327, -0.34493383582801856, -0.39938593836773917, -0.4585852556847117, -0.17528064356187462, -0.46381048117516577, 0.03525452659694004, -0.3462699490096491, -0.05458175311820927, 0.25287997918368404, -0.3121500716445619, -0.31704734330624024, -0.2791417639716893, -0.1316299325056198, -0.21206329697931392, 0.14853547699392639, -0.34009335493576637, 0.07468527885954905, -0.3285925442768127, -0.42784657496708417, 0.0655216077449911, -0.32186263316966784, -0.44280861507898894, 0.11281560367349924, -0.12546451137382061, -0.07750297158814758, 0.08143760466411018, -0.30423549299025626, -0.23808234731447458, -0.18315262928372608, -0.32010996672528946, -0.4940204637426744, -0.1373011366614612, -0.11664942433315466, -0.33861942046513327, -0.1621543211461273, -0.340034837180606, -0.07197615469129928, -0.43369230364833855, -0.06433521577228976, -0.19690654582687442, -0.10506969337424212, -0.4437938065500079, -0.3166870585348069, -0.24041487129481723, -0.37050177533207307, -0.3252184011724892, -0.014121934772210963, -0.41012088110453765, -0.22886248504943582, -0.2325801673175653, -0.43999421303481046, -0.4833823037560625, -0.20533598044181126, 0.008353215340950302, -0.4497911127976197, -0.3525591381290761, -0.1973600350748064, -0.4446114033476974, -0.2671164294701443, -0.4206416496221644, -0.4521936051535903, -0.1861743321033174, -0.298719988836384, -0.36857728531349165, -0.04323765467355982, -0.39778998451577885, -0.17438342570709578, -0.335188102410075, 0.16492199421644818, -0.30994420833055103, -0.4901289780644326, -0.06578162449155539, -0.340609365450464, -0.3113594061863674, 0.037502580135036226, -0.27853212612338235, 0.0969271377759126, -0.321166645490489, -0.2502966175934686, -0.3487807501750051, 0.004970873058163416, -0.20694819184564406, -0.09838324903420063, -0.18914843030157638, -0.23123657188770574, -0.08037555602030212, -0.20065313051444278, -0.19991261550583764, -0.4862641714707748, -0.2156862236424107, -0.25938659044223644, -0.1444997521986037, -0.15240005052072378, -0.21232230442946884, -0.2749104977412417, 0.02403037395987342, -0.16480317875184153, -0.43934262898859383, -0.329897379475039, -0.1748805069111395, -0.4075655879595139, -0.35436559003877405, -0.4634659510428968, -0.2219091529492115, -0.47579544886675507, -0.48383373184454265, 0.05147052338430113, -0.020253212509661306, 0.02204143536208072, 0.07904780416605364, -0.15207402879669252, -0.3785933817210138, -0.3205224748453903, 0.028524072487785268, 0.1138013814334009, -0.03272010897340126, -0.21783744459857513, -0.33746226829026416, -0.37201546674833463, -0.2055198384342761, -0.49457561112991877, 0.13107417655268117, -0.22160968158589675, -0.22594532010119753, -0.41668508477775934, -0.3562723989014599, -0.14003632901017304, -0.4438034548315086, -0.4952802189067038, -0.4743472570216717, -0.2909213293584371, -0.09768925852239244, -0.3521264429974596], 'char_orbit_index': 7, 'conrey_index': 11, 'dual_conrey_index': 50, 'dual_embedding_index': 13, 'dual_embedding_m': 27, 'embedding_index': 13, 'embedding_m': 13, 'hecke_orbit': 3, 'hecke_orbit_code': 9007611605156023, 'label': '183.2.g.c.11.13', 'level': 183, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  Nk2	integer
  a4_dim	integer
  a5_dim	integer
  analytic_conductor	double precision
  char_conductor	integer
  char_degree	integer
  char_is_real	boolean
  char_orbit_index	smallint
  char_orbit_label	text
  char_order	integer
  char_parity	smallint
  char_values	jsonb
  conrey_index	integer
  cusp_dim	integer
  dihedral_dim	integer
  dim	integer
  eis_dim	integer
  eis_new_dim	integer
  hecke_cutter_primes	integer[]
  hecke_orbit_code	bigint
  hecke_orbit_dims	integer[]
  label	text
  level	integer
  level_is_powerful	boolean
  level_is_prime	boolean
  level_is_prime_power	boolean
  level_is_prime_square	boolean
  level_is_square	boolean
  level_is_squarefree	boolean
  level_primes	integer[]
  level_radical	integer
  mf_dim	integer
  mf_new_dim	integer
  num_forms	smallint
  plus_dim	integer
  prim_orbit_index	smallint
  relative_dim	integer
  s4_dim	integer
  sturm_bound	integer
  trace_bound	integer
  trace_display	numeric[]
  traces	numeric[]
  weight	smallint
  weight_parity	smallint

  
  {'Nk2': 732, 'analytic_conductor': 1.461262356989431, 'char_conductor': 183, 'char_degree': 2, 'char_is_real': False, 'char_orbit_index': 7, 'char_orbit_label': 'g', 'char_order': 4, 'char_parity': 1, 'char_values': [183, 4, [62, 124], [2, 1]], 'conrey_index': 11, 'cusp_dim': 36, 'dim': 36, 'eis_dim': 8, 'eis_new_dim': 8, 'hecke_cutter_primes': [2], 'hecke_orbit_code': 412350415031, 'hecke_orbit_dims': [4, 4, 28], 'label': '183.2.g', 'level': 183, 'level_is_powerful': False, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': True, 'level_primes': [3, 61], 'level_radical': 183, 'mf_dim': 44, 'mf_new_dim': 44, 'num_forms': 3, 'prim_orbit_index': 7, 'relative_dim': 18, 'sturm_bound': 41, 'trace_bound': 2, 'trace_display': [0, 0, 0, -12], 'traces': [36, 0, 0, 0, 0, -2, -12, 0, -4, -8, 0, 8, -8, 0, -32, -12, 0, 4, 0, 0, -6, -8, 0, 18, 4, 0, 0, -24, 0, -10, 16, 0, 14, 48, 0, 0, -16, 0, 0, 20, 0, 4, 0, 0, 0, 0, 0, 0, 0, 0, -32, 0, 0, -14, -24, 0, -24, 8, 0, 0, 24, 0, 24, 0, 0, 0, 4, 0, 6, -48, 0, 52, -80, 0, 0, 160, 0, -78, 0, 0, 84, 12, 0, 18, -60, 0, -28, 0, 0, -72, -16, 0, 12, -72, 0, 34, 0, 0, 16, 0, 0, 0, 16, 0, -30, 0, 0, -68, 0, 0, 24, 20, 0, 28, -8, 0, -40, 112, 0, 90, 0, 0, 28, 8, 0, 0, 0, 0, 96, -144, 0, 46, -52, 0, 84, 0, 0, 80, 76, 0, 0, -56, 0, -84, 12, 0, 64, 48, 0, 68, 44, 0, -56, -132, 0, -160, -48, 0, -40, -24, 0, 8, 0, 0, -86, 0, 0, 0, 180, 0, 0, 8, 0, 0, -4, 0, 34, 160, 0, 40, -28, 0, -60, -56, 0, 0, 0, 0, -2, -124, 0, 76, -92, 0, 148, -212, 0, -308, -48, 0, -54, 0, 0, -24, 112, 0, 56, -200, 0, 0, -136, 0, 16, 88, 0, 110, 144, 0, 0, 124, 0, 0, 40, 0, -172, 220, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, -26, -84, 0, -172, -48, 0, 0, 180, 0, -18, 0, 0, 0, 72, 0, 152, -48, 0, 100, -132, 0, 0, 272, 0, -44, 84, 0, 72, 72, 0, 4, -112, 0, -6, 0, 0, -58, 24, 0, 178, -104, 0, 88, 0, 0, 44, 0, 0, 0, 112, 0, -4, 0, 0, -120, 0, 0, 72, 164, 0, -70, 92, 0, -232, 16, 0, 8, 0, 0, 132, -32, 0, 0, 0, 0, 274, -12, 0, 104, -148, 0, 248, 0, 0, 8, 84, 0, 0, -328, 0, -100, -176, 0, 172, 36, 0, 200, 156, 0, -202, 44, 0, -260, -44, 0, -140, -12, 0, -46, 0, 0, -208, 88, 0, 0, 72, 0, 0, -188, 0, 0, -88, 0, 144, 188, 0, 124, -196, 0, -254, -112, 0, 0, 0, 0, -108, -256, 0, -140, 72, 0, 208, -192, 0, -376, 8, 0, -162, 0, 0, -152, 272, 0, 190, -72, 0, 0, -240, 0, -96, 136, 0, 104, 308, 0, 0, 52, 0, 0, -148, 0, -160, 76, 0, 0, 0, 0, 0, 0, 0, -118, 0, 0, -46, -112, 0, 88, -112, 0, 0, 120, 0, 94, 0, 0, 0, 68, 0, 224, 80, 0, 318, -240, 0, 0, 360, 0, -120, 184, 0, 152, -48, 0, 160, 28, 0, 62, 0, 0, -96, 80, 0, 56, -36, 0, -22, 0, 0, 0, 0, 0, 0, 256, 0, -44, 0, 0, -152, 0, 0, 140, 252, 0, 118, 12, 0, -168, 180, 0, 218, 0, 0, -8, -12, 0, 0, 0, 0, 228, -296, 0, 76, -244, 0, 204, 0, 0, 116, 132, 0, 0, 88, 0, -168, -92, 0, 240, -104, 0, 256, 56, 0, -96, -316, 0, -348, -216, 0, -72, -164, 0, -90, 0, 0, -124, 28, 0, 0, -104, 0, 0, -128, 0, 0, 44, 0, 216, 144, 0, -64, -200, 0, -232, -376, 0, 0, 0, 0, -100, -344, 0, 228, -252, 0, 276, -24, 0, -548, -176, 0, -224, 0, 0, 108, -24, 0, 138, -248, 0, 0, -208, 0, -76, 468, 0, 236, 352, 0, 0, 192, 0, 0, 280, 0, -188, 256, 0, 0, 0, 0, 0, 0, 0, -236, 0, 0, -56, -192, 0, -420, 32, 0, 0, 292, 0, -128, 0, 0, 0, 40, 0, 324, 400, 0, 94, -416, 0, 0, 500, 0, 80, 448, 0, -140, 136, 0, 212, -280, 0, 156, 0, 0, -68, 260, 0, 320, -136, 0, 32, 0, 0, 76, 0, 0, 0, 224, 0, 150, 0, 0, -84, 0, 0, 154, 64, 0, -28, -96, 0, -404, 88, 0, 142, 0, 0, 80, -152, 0, 0, 0, 0, 238, -296, 0, 170, -572, 0, 564, 0, 0, 12, 200, 0, 0, -120, 0, -192, -188, 0, 212, -124, 0, 276, 228, 0, -582, -40, 0, -268, 272, 0, -226, 200, 0, -108, 0, 0, -308, -64, 0, 0, 360, 0, 0, -124, 0, 0, -196, 0, 80, 352, 0, 212, -380, 0, -308, 280, 0, 0, 0, 0, -252, -104, 0, -200, -120, 0, 388, -560, 0, -392, -608, 0, -442, 0, 0, 8, 216, 0, 170, -288, 0, 0, -108, 0, -148, 160, 0, 80, 352, 0, 0, 104, 0, 0, -20, 0, -156, 252, 0, 0, 0, 0, 0, 0, 0, -400, 0, 0, 92, -48, 0, -28, -40, 0, 0, 132, 0, -12, 0, 0, 0, -24, 0, 156, -440, 0, 470, -144, 0, 0, 616, 0, -276, 148, 0, 148, -148, 0, 224, -264, 0, 20, 0, 0, -94, 168, 0, -64, -160, 0, -12, 0, 0, -152, 0, 0, 0, 360, 0, -192, 0, 0, -108, 0, 0, 228, 368, 0, 380, 80, 0, -292, 368, 0, 524, 0, 0, 44, 200, 0, 0, 0, 0, 238, -232, 0, 146, 64, 0, 244, 0, 0, 444, -304, 0, 0, 208, 0, -216, -220, 0, 188, -224, 0, 188, 196, 0, -234, -224, 0, -348, -108, 0, -24, 284, 0, -6, 0, 0, -286, -184, 0, 0, 8, 0, 0, -416, 0, 0, -56, 0, 204, 736, 0, -48, -152, 0, -104, -224, 0, 0, 0, 0, 146, -488, 0, -108, -196, 0, 268, -680, 0, -468, 480, 0, -238, 0, 0, 236, 376, 0, 124, -120, 0, 0, -484, 0, -278, 644, 0, 70, 264, 0, 0, 276, 0, 0, -84, 0, -616, 0, 0, 0, 0, 0, 0, 0, 0, -186, 0, 0, 92, -296, 0, -292, -216, 0, 0, 528, 0, -280, 0, 0, 0, 412, 0, 418, 104, 0, 180, -152, 0, 0, 432, 0, -114, 540, 0, 120, -160, 0, 340, 60], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

  Column	Type
  conductor	integer
  degree	integer
  order	integer
  parity	smallint
  source_conrey_index	integer
  source_dim	integer
  source_embedding_index	integer
  source_hecke_orbit_code	bigint
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_conrey_index	integer
  target_dim	integer
  target_embedding_index	integer
  target_hecke_orbit_code	bigint
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_conrey_index	integer
  weight	smallint

  
  
  • id: 40952047
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 11, 'source_dim': 28, 'source_embedding_index': 13, 'source_hecke_orbit_code': 9007611605156023, 'source_is_minimal': True, 'source_label': '183.2.g.c.11.13', 'source_level': 183, 'target_conrey_index': 11, 'target_dim': 28, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9007611605156023, 'target_is_minimal': True, 'target_label': '183.2.g.c.11.13', 'target_level': 183, 'twist_class_label': '183.2.g.c.11.2', 'twist_class_level': 183, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 40952048
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 11, 'source_dim': 28, 'source_embedding_index': 13, 'source_hecke_orbit_code': 9007611605156023, 'source_is_minimal': True, 'source_label': '183.2.g.c.11.13', 'source_level': 183, 'target_conrey_index': 11, 'target_dim': 28, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007611605156023, 'target_is_minimal': True, 'target_label': '183.2.g.c.11.2', 'target_level': 183, 'twist_class_label': '183.2.g.c.11.2', 'twist_class_level': 183, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 2}
  • id: 40952049
    {'conductor': 61, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 11, 'source_dim': 28, 'source_embedding_index': 13, 'source_hecke_orbit_code': 9007611605156023, 'source_is_minimal': True, 'source_label': '183.2.g.c.11.13', 'source_level': 183, 'target_conrey_index': 50, 'target_dim': 28, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007611605156023, 'target_is_minimal': True, 'target_label': '183.2.g.c.50.2', 'target_level': 183, 'twist_class_label': '183.2.g.c.11.2', 'twist_class_level': 183, 'twisting_char_label': '61.50', 'twisting_conrey_index': 50, 'weight': 2}
  • id: 40952050
    {'conductor': 183, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 11, 'source_dim': 28, 'source_embedding_index': 13, 'source_hecke_orbit_code': 9007611605156023, 'source_is_minimal': True, 'source_label': '183.2.g.c.11.13', 'source_level': 183, 'target_conrey_index': 50, 'target_dim': 28, 'target_embedding_index': 13, 'target_hecke_orbit_code': 9007611605156023, 'target_is_minimal': True, 'target_label': '183.2.g.c.50.13', 'target_level': 183, 'twist_class_label': '183.2.g.c.11.2', 'twist_class_level': 183, 'twisting_char_label': '183.50', 'twisting_conrey_index': 50, 'weight': 2}
• hecke_orbit_code 9007611605156023 does not appear in mf_hecke_charpolys
• mf_newform_portraits •

  Column	Type
  char_orbit_index	smallint
  hecke_orbit	integer
  label	text
  level	integer
  portrait	text
  weight	smallint

  
  {'char_orbit_index': 7, 'hecke_orbit': 3, 'label': '183.2.g.c', 'level': 183, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 30839491
    {'hecke_orbit_code': 9007611605156023, 'n': 1, 'trace_an': 28}
  • id: 30839492
    {'hecke_orbit_code': 9007611605156023, 'n': 2, 'trace_an': 0}
  • id: 30839493
    {'hecke_orbit_code': 9007611605156023, 'n': 3, 'trace_an': 0}
  • id: 30839494
    {'hecke_orbit_code': 9007611605156023, 'n': 4, 'trace_an': 0}
  • id: 30839495
    {'hecke_orbit_code': 9007611605156023, 'n': 5, 'trace_an': 0}
  • id: 30839496
    {'hecke_orbit_code': 9007611605156023, 'n': 6, 'trace_an': -6}
  • id: 30839497
    {'hecke_orbit_code': 9007611605156023, 'n': 7, 'trace_an': 4}
  • id: 30839498
    {'hecke_orbit_code': 9007611605156023, 'n': 8, 'trace_an': 0}
  • id: 30839499
    {'hecke_orbit_code': 9007611605156023, 'n': 9, 'trace_an': -4}
  • id: 30839500
    {'hecke_orbit_code': 9007611605156023, 'n': 10, 'trace_an': -16}
  • id: 30839501
    {'hecke_orbit_code': 9007611605156023, 'n': 11, 'trace_an': 0}
  • id: 30839502
    {'hecke_orbit_code': 9007611605156023, 'n': 12, 'trace_an': -16}
  • id: 30839503
    {'hecke_orbit_code': 9007611605156023, 'n': 13, 'trace_an': 16}
  • id: 30839504
    {'hecke_orbit_code': 9007611605156023, 'n': 14, 'trace_an': 0}
  • id: 30839505
    {'hecke_orbit_code': 9007611605156023, 'n': 15, 'trace_an': -40}
  • id: 30839506
    {'hecke_orbit_code': 9007611605156023, 'n': 16, 'trace_an': 12}
  • id: 30839507
    {'hecke_orbit_code': 9007611605156023, 'n': 17, 'trace_an': 0}
  • id: 30839508
    {'hecke_orbit_code': 9007611605156023, 'n': 18, 'trace_an': -4}
  • id: 30839509
    {'hecke_orbit_code': 9007611605156023, 'n': 19, 'trace_an': 0}
  • id: 30839510
    {'hecke_orbit_code': 9007611605156023, 'n': 20, 'trace_an': 0}
  • id: 30839511
    {'hecke_orbit_code': 9007611605156023, 'n': 21, 'trace_an': -18}
  • id: 30839512
    {'hecke_orbit_code': 9007611605156023, 'n': 22, 'trace_an': -48}
  • id: 30839513
    {'hecke_orbit_code': 9007611605156023, 'n': 23, 'trace_an': 0}
  • id: 30839514
    {'hecke_orbit_code': 9007611605156023, 'n': 24, 'trace_an': 14}
  • id: 30839515
    {'hecke_orbit_code': 9007611605156023, 'n': 25, 'trace_an': 36}
  • id: 30839516
    {'hecke_orbit_code': 9007611605156023, 'n': 26, 'trace_an': 0}
  • id: 30839517
    {'hecke_orbit_code': 9007611605156023, 'n': 27, 'trace_an': 0}
  • id: 30839518
    {'hecke_orbit_code': 9007611605156023, 'n': 28, 'trace_an': -24}
  • id: 30839519
    {'hecke_orbit_code': 9007611605156023, 'n': 29, 'trace_an': 0}
  • id: 30839520
    {'hecke_orbit_code': 9007611605156023, 'n': 30, 'trace_an': -22}
  • id: 30839521
    {'hecke_orbit_code': 9007611605156023, 'n': 31, 'trace_an': 32}
  • id: 30839522
    {'hecke_orbit_code': 9007611605156023, 'n': 32, 'trace_an': 0}
  • id: 30839523
    {'hecke_orbit_code': 9007611605156023, 'n': 33, 'trace_an': 2}
  • id: 30839524
    {'hecke_orbit_code': 9007611605156023, 'n': 34, 'trace_an': 96}
  • id: 30839525
    {'hecke_orbit_code': 9007611605156023, 'n': 35, 'trace_an': 0}
  • id: 30839526
    {'hecke_orbit_code': 9007611605156023, 'n': 36, 'trace_an': 0}
  • id: 30839527
    {'hecke_orbit_code': 9007611605156023, 'n': 37, 'trace_an': 8}
  • id: 30839528
    {'hecke_orbit_code': 9007611605156023, 'n': 38, 'trace_an': 0}
  • id: 30839529
    {'hecke_orbit_code': 9007611605156023, 'n': 39, 'trace_an': 0}
  • id: 30839530
    {'hecke_orbit_code': 9007611605156023, 'n': 40, 'trace_an': 28}
  • id: 30839531
    {'hecke_orbit_code': 9007611605156023, 'n': 41, 'trace_an': 0}
  • id: 30839532
    {'hecke_orbit_code': 9007611605156023, 'n': 42, 'trace_an': 20}
  • id: 30839533
    {'hecke_orbit_code': 9007611605156023, 'n': 43, 'trace_an': -32}
  • id: 30839534
    {'hecke_orbit_code': 9007611605156023, 'n': 44, 'trace_an': 0}
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  • id: 30839617
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  • id: 30839639
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  • id: 30839712
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  • id: 30839716
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  • id: 30839721
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  • id: 30839722
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  • id: 30839723
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  • id: 30839724
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  • id: 30839725
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  • id: 30839726
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  • id: 30839727
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  • id: 30839728
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  • id: 30839731
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  • id: 30839732
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  • id: 30839733
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  • id: 30839735
    {'hecke_orbit_code': 9007611605156023, 'n': 911, 'trace_an': 0}
  • id: 30839736
    {'hecke_orbit_code': 9007611605156023, 'n': 919, 'trace_an': 0}
  • id: 30839737
    {'hecke_orbit_code': 9007611605156023, 'n': 929, 'trace_an': 0}
  • id: 30839738
    {'hecke_orbit_code': 9007611605156023, 'n': 937, 'trace_an': 432}
  • id: 30839739
    {'hecke_orbit_code': 9007611605156023, 'n': 941, 'trace_an': 0}
  • id: 30839740
    {'hecke_orbit_code': 9007611605156023, 'n': 947, 'trace_an': 0}
  • id: 30839741
    {'hecke_orbit_code': 9007611605156023, 'n': 953, 'trace_an': 0}
  • id: 30839742
    {'hecke_orbit_code': 9007611605156023, 'n': 961, 'trace_an': 0}
  • id: 30839743
    {'hecke_orbit_code': 9007611605156023, 'n': 967, 'trace_an': 0}
  • id: 30839744
    {'hecke_orbit_code': 9007611605156023, 'n': 971, 'trace_an': 0}
  • id: 30839745
    {'hecke_orbit_code': 9007611605156023, 'n': 977, 'trace_an': 0}
  • id: 30839746
    {'hecke_orbit_code': 9007611605156023, 'n': 983, 'trace_an': 0}
  • id: 30839747
    {'hecke_orbit_code': 9007611605156023, 'n': 991, 'trace_an': 592}
  • id: 30839748
    {'hecke_orbit_code': 9007611605156023, 'n': 997, 'trace_an': -64}