Embedded newform data - 74.8.a.b.1.4

Formats: - HTML - YAML - JSON - 2024-09-16T19:26:40.514184

• 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': 4736, 'analytic_conductor': 23.11649188582501, 'analytic_rank': 1, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, -1], [37, 1]], 'atkin_lehner_string': '-+', 'char_conductor': 1, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [74, 1, [39], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 4, 'field_disc': 1007212611917, 'field_disc_factorization': [[17, 1], [63299, 1], [935999, 1]], 'field_poly': [634476, -14018, -2177, -2, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_cutters': [[3, [-35775, 36855, -2994, 41, 1]]], 'hecke_orbit': 2, 'hecke_orbit_code': 4503599761588298, 'hecke_ring_generator_nbound': 7, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '74.8.a.b', 'level': 74, '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': [2, 37], 'level_radical': 74, 'minimal_twist': '74.8.a.b', 'prim_orbit_index': 1, 'qexp_display': 'q+8q^{2}+(-10+\\beta _{2})q^{3}+2^{6}q^{4}+(-89+\\cdots)q^{5}+\\cdots', 'related_objects': [], 'relative_dim': 4, 'rm_discs': [], 'sato_tate_group': '7.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '74.8.a', 'trace_display': [32, -41, -363, -774], 'trace_hash': 2004917912587650586, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '3.823', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '38.711', 'prec': 20}, {'__RealLiteral__': 0, 'data': '1.858', 'prec': 17}, {'__RealLiteral__': 0, 'data': '590.111', 'prec': 24}], 'trace_zratio': 0, 'traces': [4, 32, -41, 256, -363, -328, -774, 2048, -1079, -2904, -309, -2624, -20827, -6192, -22940, 16384, -48756, -8632, -69068, -23232, -640, -2472, -50237, -20992, -3581, -166616, -368414, -49536, -205195, -183520, -172283, 131072, -205234, -390048, -584964, -69056, -202612, -552544, 329055, -185856, -1018945, -5120, 1263046, -19776, 1279606, -401896, -420930, -167936, -482790, -28648, 728262, -1332928, 2051230, -2947312, -1442891, -396288, -926198, -1641560, 357914, -1468160, -2507513, -1378264, 2879054, 1048576, 3097954, -1641872, 586879, -3120384, -252895, -4679712, -130272, -552448, 3517417, -1620896, 8154290, -4420352, 8777590, 2632440, 3790171, -1486848, 15888376, -8151560, 12973460, -40960, 14870322, 10104368, 23063695, -158208, 18852848, 10236848, -2046622, -3215168, 4005314, 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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

  
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-0.1370131100545628, -0.2023506755716988, -0.22969056104639554, -0.23456463620571438, -0.27854168186649264, -0.4393617163957348, -0.27403729513849845, -0.2963861451929033, -0.2458543894524208, -0.214298759080303, -0.24971635558230076, -0.11968353935129347, -0.20942710469847198, -0.23147667263912208, -0.10014031866517063, -0.20206563761476398, -0.16074330547920246], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 4, 'dual_embedding_m': 4, 'embedding_index': 4, 'embedding_m': 4, 'embedding_root_imag': 0.0, 'embedding_root_real': 47.83781774845663, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599761588298, 'label': '74.8.a.b.1.4', 'level': 74, 'weight': 8}
• 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

  
  {'ALdims': [6, 4, 4, 7], 'Nk2': 4736, 'analytic_conductor': 23.11649188582501, 'char_conductor': 1, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 1, 'char_orbit_label': 'a', 'char_order': 1, 'char_parity': 1, 'char_values': [74, 1, [39], [1]], 'conrey_index': 1, 'cusp_dim': 65, 'dim': 21, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_cutter_primes': [3], 'hecke_orbit_code': 134217802, 'hecke_orbit_dims': [4, 4, 6, 7], 'label': '74.8.a', 'level': 74, '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': [2, 37], 'level_radical': 74, 'mf_dim': 69, 'mf_new_dim': 21, 'num_forms': 4, 'plus_dim': 13, 'prim_orbit_index': 1, 'relative_dim': 21, 'sturm_bound': 76, 'trace_bound': 2, 'trace_display': [8, -26, 246, -2136], 'traces': [21, 8, -26, 1344, 246, 192, -2136, 512, 17995, 416, -1818, -1664, 4798, 25248, 18920, 86016, -21690, -61848, -16704, 15744, 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• 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: 34438290
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4503599761588298, 'source_is_minimal': True, 'source_label': '74.8.a.b.1.4', 'source_level': 74, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 4, 'target_hecke_orbit_code': 4503599761588298, 'target_is_minimal': True, 'target_label': '74.8.a.b.1.4', 'target_level': 74, 'twist_class_label': '74.8.a.b.1.4', 'twist_class_level': 74, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 8}
  • id: 34438291
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 1, 'source_dim': 4, 'source_embedding_index': 4, 'source_hecke_orbit_code': 4503599761588298, 'source_is_minimal': True, 'source_label': '74.8.a.b.1.4', 'source_level': 74, 'target_conrey_index': 1, 'target_dim': 4, 'target_embedding_index': 1, 'target_hecke_orbit_code': 134218320, 'target_is_minimal': False, 'target_label': '592.8.a.a.1.1', 'target_level': 592, 'twist_class_label': '74.8.a.b.1.4', 'twist_class_level': 74, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 8}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 229600
    {'charpoly_factorization': [[[-8, 1], 4]], 'hecke_orbit_code': 4503599761588298, 'p': 2}
  • id: 229601
    {'charpoly_factorization': [[[-35775, 36855, -2994, 41, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 3}
  • id: 229602
    {'charpoly_factorization': [[[1167253500, -6321700, -88575, 363, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 5}
  • id: 229603
    {'charpoly_factorization': [[[71837713524, -420414322, -1106153, 774, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 7}
  • id: 229604
    {'charpoly_factorization': [[[70652437172795, 35961533891, -34413220, 309, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 11}
  • id: 229605
    {'charpoly_factorization': [[[-3860548242976596, -759238231084, 69813113, 20827, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 13}
  • id: 229606
    {'charpoly_factorization': [[[-181252421535163392, -14315973136464, 312550924, 48756, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 17}
  • id: 229607
    {'charpoly_factorization': [[[-131462969220935040, -15539737468144, 649542220, 69068, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 19}
  • id: 229608
    {'charpoly_factorization': [[[3042133266263080364, -582993584880836, -10224623319, 50237, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 23}
  • id: 229609
    {'charpoly_factorization': [[[-140982042234604256300, -4594675628458304, -26421894931, 205195, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 29}
  • id: 229610
    {'charpoly_factorization': [[[1975061314963756752, 242280521105120, 10228308279, 172283, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 31}
  • id: 229611
    {'charpoly_factorization': [[[50653, 1], 4]], 'hecke_orbit_code': 4503599761588298, 'p': 37}
  • id: 229612
    {'charpoly_factorization': [[[-9642358469068785253785, -26676061174626611, 242294534310, 1018945, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 41}
  • id: 229613
    {'charpoly_factorization': [[[-5005621861294356703344, -7392903922229464, 420670802656, -1263046, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 43}
  • id: 229614
    {'charpoly_factorization': [[[82763209043424772382676, 5899165018145186, -805897766201, 420930, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 47}
  • id: 229615
    {'charpoly_factorization': [[[-2772985724299444997992468, 5481235739815276464, -1598852048159, -2051230, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 53}
  • id: 229616
    {'charpoly_factorization': [[[1248364319154407408466432, 485145649273268640, -2369009015044, -357914, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 59}
  • id: 229617
    {'charpoly_factorization': [[[-710776744753971003430400, -12673943539824498320, -5807165309519, 2507513, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 61}
  • id: 229618
    {'charpoly_factorization': [[[-1832984111488284646499648, 10689904844655724544, -8076525911443, -586879, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 67}
  • id: 229619
    {'charpoly_factorization': [[[-15620610538749035722519620, -41200390883143091436, -21560470360217, 130272, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 71}
  • id: 229620
    {'charpoly_factorization': [[[-27736302914476259219713053, 43188494277822889547, -10755705107138, -3517417, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 73}
  • id: 229621
    {'charpoly_factorization': [[[-15932725531968298229031456, 86070015742499802972, -21325857591791, -3790171, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 79}
  • id: 229622
    {'charpoly_factorization': [[[47117410475354158044812688, -84492316479273459780, 52563193600751, -12973460, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 83}
  • id: 229623
    {'charpoly_factorization': [[[-1878184999153484148921922560, 296540508848923446592, 79123098391168, -18852848, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 89}
  • id: 229624
    {'charpoly_factorization': [[[3598997401382526172378396480, 1048641827985990638912, -81844168544372, -14580104, 1], 1]], 'hecke_orbit_code': 4503599761588298, 'p': 97}
• mf_newform_portraits •

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

  
  {'char_orbit_index': 1, 'hecke_orbit': 2, 'label': '74.8.a.b', 'level': 74, 'portrait': 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', 'weight': 8}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19540470
    {'hecke_orbit_code': 4503599761588298, 'n': 1, 'trace_an': 4}
  • id: 19540471
    {'hecke_orbit_code': 4503599761588298, 'n': 2, 'trace_an': 32}
  • id: 19540472
    {'hecke_orbit_code': 4503599761588298, 'n': 3, 'trace_an': -41}
  • id: 19540473
    {'hecke_orbit_code': 4503599761588298, 'n': 4, 'trace_an': 256}
  • id: 19540474
    {'hecke_orbit_code': 4503599761588298, 'n': 5, 'trace_an': -363}
  • id: 19540475
    {'hecke_orbit_code': 4503599761588298, 'n': 6, 'trace_an': -328}
  • id: 19540476
    {'hecke_orbit_code': 4503599761588298, 'n': 7, 'trace_an': -774}
  • id: 19540477
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