Embedded newform data - 538.6.a.b.1.18

Formats: - HTML - YAML - JSON - 2025-01-28T06:28:36.295009

• 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': 19368, 'analytic_conductor': 86.28649505938358, 'analytic_rank': 0, 'analytic_rank_proved': True, 'atkin_lehner_eigenvals': [[2, 1], [269, -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': [538, 1, [271], [1]], 'cm_discs': [], 'conrey_index': 1, 'dim': 27, 'fricke_eigenval': -1, 'has_non_self_twist': 0, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599728034330, 'inner_twist_count': 1, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1]], 'is_cm': False, 'is_largest': True, 'is_maximal': True, 'is_rm': False, 'is_self_dual': True, 'is_self_twist': False, 'is_twist_minimal': True, 'label': '538.6.a.b', 'level': 538, '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, 269], 'level_radical': 538, 'minimal_twist': '538.6.a.b', 'prim_orbit_index': 1, 'related_objects': [], 'relative_dim': 27, 'rm_discs': [], 'sato_tate_group': '5.2.3.c1', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '538.6.a', 'trace_display': [-108, 33, 139, -25], 'traces': [27, -108, 33, 432, 139, -132, -25, -1728, 2346, -556, 1241, 528, -202, 100, 1786, 6912, 1550, -9384, -66, 2224, -1217, -4964, 10568, -2112, 15880, 808, 8256, -400, -2122, -7144, -1621, -27648, 18369, -6200, 23123, 37536, 8542, 264, 589, -8896, 10859, 4868, 23759, 19856, 28006, -42272, 38457, 8448, 57376, -63520, 58237, -3232, 73586, -33024, 25923, 1600, 52534, 8488, 68927, 28576, -76016, 6484, -20738, 110592, 74867, -73476, 94787, 24800, -90601, -92492, 15523, -150144, -96279, -34168, -123786, -1056, -199866, -2356, -246217, 35584, -54473, -43436, -56658, -19472, -120541, -95036, -352954, -79424, -83070, -112024, -132348, 169088, 40727, -153828, -72090, -33792, -36273, -229504, 335378, 254080, 91188, -232948, 207271, 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• 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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[-0.25819326166707773, 0.0], [0.1737834440222777, 0.0], [-1.3498525723450443, 0.0], [0.12019582871836533, 0.0], [0.21792970857718083, 0.0], [0.38289500561104806, 0.0], [-0.7400808482209896, 0.0], [0.26339766110461427, 0.0], [1.7159029216397512, 0.0], [-0.39853039285235614, 0.0], [-0.05864569804899, 0.0], [-0.39548680718238516, 0.0], [-0.6625000956544008, 0.0], [0.4219506736164477, 0.0], [1.5476929613182766, 0.0], [0.2695186403729847, 0.0], [0.0723287142956498, 0.0], [-0.3256260457542148, 0.0], [-0.5791791442263714, 0.0], [-1.2026959424869574, 0.0], [0.04421159896611035, 0.0], [-0.43001808354272597, 0.0], [1.290765470570131, 0.0], [0.927004617572691, 0.0], [-1.11868343142012, 0.0], [0.14238411028893422, 0.0]], 'angles': [None, -0.19433289647628738, -0.13737499445986054, -0.3585306394972365, -0.20542371816733743, -0.29399116267665615, -0.3174603568719835, -0.39064516235275215, -0.1774788536948926, -0.30520860536685024, -0.06368300302187271, -0.16047211664583153, -0.09632987235450444, 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-0.14725972503832555, -0.3694391741597264, -0.4123848702136981, -0.1759267386005655, -0.2747361578386867, -0.32419357037728974, -0.1999810090280403, -0.2136525194727267, -0.09818800007568886, -0.16230314905149681, -0.372363536162622, -0.37688189035604924, -0.1363240474599709, -0.36791229490102, -0.08586848530275831, -0.24424300844032854, -0.13834895079681167], 'char_orbit_index': 1, 'conrey_index': 1, 'dual_conrey_index': 1, 'dual_embedding_index': 18, 'dual_embedding_m': 18, 'embedding_index': 18, 'embedding_m': 18, 'hecke_orbit': 2, 'hecke_orbit_code': 4503599728034330, 'label': '538.6.a.b.1.18', 'level': 538, 'weight': 6}
• 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': [30, 27, 32, 24], 'Nk2': 19368, 'analytic_conductor': 86.28649505938358, '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': [538, 1, [271], [1]], 'conrey_index': 1, 'cusp_dim': 335, 'dim': 113, 'eis_dim': 4, 'eis_new_dim': 0, 'hecke_orbit_code': 100663834, 'hecke_orbit_dims': [24, 27, 30, 32], 'label': '538.6.a', 'level': 538, '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, 269], 'level_radical': 538, 'mf_dim': 339, 'mf_new_dim': 113, 'num_forms': 4, 'plus_dim': 54, 'prim_orbit_index': 1, 'relative_dim': 113, 'sturm_bound': 405, 'trace_bound': 1, 'trace_display': [-4, 4, -44, -76], 'traces': [113, -4, 4, 1808, -44, -8, -76, -64, 9059, -200, 598, 64, 48, 880, 28, 28928, -350, -3892, -3796, -704, 4604, 928, -3356, -128, 70933, 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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

  
  {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 1, 'source_dim': 27, 'source_embedding_index': 18, 'source_hecke_orbit_code': 4503599728034330, 'source_is_minimal': True, 'source_label': '538.6.a.b.1.18', 'source_level': 538, 'target_conrey_index': 1, 'target_dim': 27, 'target_embedding_index': 18, 'target_hecke_orbit_code': 4503599728034330, 'target_is_minimal': True, 'target_label': '538.6.a.b.1.18', 'target_level': 538, 'twist_class_label': '538.6.a.b.1.18', 'twist_class_level': 538, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 6}
• hecke_orbit_code 4503599728034330 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': 1, 'hecke_orbit': 2, 'label': '538.6.a.b', 'level': 538, 'portrait': 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', 'weight': 6}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 19375092
    {'hecke_orbit_code': 4503599728034330, 'n': 1, 'trace_an': 27}
  • id: 19375093
    {'hecke_orbit_code': 4503599728034330, 'n': 2, 'trace_an': -108}
  • id: 19375094
    {'hecke_orbit_code': 4503599728034330, 'n': 3, 'trace_an': 33}
  • id: 19375095
    {'hecke_orbit_code': 4503599728034330, 'n': 4, 'trace_an': 432}
  • id: 19375096
    {'hecke_orbit_code': 4503599728034330, 'n': 5, 'trace_an': 139}
  • id: 19375097
    {'hecke_orbit_code': 4503599728034330, 'n': 6, 'trace_an': -132}
  • id: 19375098
    {'hecke_orbit_code': 4503599728034330, 'n': 7, 'trace_an': -25}
  • id: 19375099
    {'hecke_orbit_code': 4503599728034330, 'n': 8, 'trace_an': -1728}
  • id: 19375100
    {'hecke_orbit_code': 4503599728034330, 'n': 9, 'trace_an': 2346}
  • id: 19375101
    {'hecke_orbit_code': 4503599728034330, 'n': 10, 'trace_an': -556}
  • id: 19375102
    {'hecke_orbit_code': 4503599728034330, 'n': 11, 'trace_an': 1241}
  • id: 19375103
    {'hecke_orbit_code': 4503599728034330, 'n': 12, 'trace_an': 528}
  • id: 19375104
    {'hecke_orbit_code': 4503599728034330, 'n': 13, 'trace_an': -202}
  • id: 19375105
    {'hecke_orbit_code': 4503599728034330, 'n': 14, 'trace_an': 100}
  • id: 19375106
    {'hecke_orbit_code': 4503599728034330, 'n': 15, 'trace_an': 1786}
  • id: 19375107
    {'hecke_orbit_code': 4503599728034330, 'n': 16, 'trace_an': 6912}
  • id: 19375108
    {'hecke_orbit_code': 4503599728034330, 'n': 17, 'trace_an': 1550}
  • id: 19375109
    {'hecke_orbit_code': 4503599728034330, 'n': 18, 'trace_an': -9384}
  • id: 19375110
    {'hecke_orbit_code': 4503599728034330, 'n': 19, 'trace_an': -66}
  • id: 19375111
    {'hecke_orbit_code': 4503599728034330, 'n': 20, 'trace_an': 2224}
  • id: 19375112
    {'hecke_orbit_code': 4503599728034330, 'n': 21, 'trace_an': -1217}
  • id: 19375113
    {'hecke_orbit_code': 4503599728034330, 'n': 22, 'trace_an': -4964}
  • id: 19375114
    {'hecke_orbit_code': 4503599728034330, 'n': 23, 'trace_an': 10568}
  • id: 19375115
    {'hecke_orbit_code': 4503599728034330, 'n': 24, 'trace_an': -2112}
  • id: 19375116
    {'hecke_orbit_code': 4503599728034330, 'n': 25, 'trace_an': 15880}
  • id: 19375117
    {'hecke_orbit_code': 4503599728034330, 'n': 26, 'trace_an': 808}
  • id: 19375118
    {'hecke_orbit_code': 4503599728034330, 'n': 27, 'trace_an': 8256}
  • id: 19375119
    {'hecke_orbit_code': 4503599728034330, 'n': 28, 'trace_an': -400}
  • id: 19375120
    {'hecke_orbit_code': 4503599728034330, 'n': 29, 'trace_an': -2122}
  • id: 19375121
    {'hecke_orbit_code': 4503599728034330, 'n': 30, 'trace_an': -7144}
  • id: 19375122
    {'hecke_orbit_code': 4503599728034330, 'n': 31, 'trace_an': -1621}
  • id: 19375123
    {'hecke_orbit_code': 4503599728034330, 'n': 32, 'trace_an': -27648}
  • id: 19375124
    {'hecke_orbit_code': 4503599728034330, 'n': 33, 'trace_an': 18369}
  • id: 19375125
    {'hecke_orbit_code': 4503599728034330, 'n': 34, 'trace_an': -6200}
  • id: 19375126
    {'hecke_orbit_code': 4503599728034330, 'n': 35, 'trace_an': 23123}
  • id: 19375127
    {'hecke_orbit_code': 4503599728034330, 'n': 36, 'trace_an': 37536}
  • id: 19375128
    {'hecke_orbit_code': 4503599728034330, 'n': 37, 'trace_an': 8542}
  • id: 19375129
    {'hecke_orbit_code': 4503599728034330, 'n': 38, 'trace_an': 264}
  • id: 19375130
    {'hecke_orbit_code': 4503599728034330, 'n': 39, 'trace_an': 589}
  • id: 19375131
    {'hecke_orbit_code': 4503599728034330, 'n': 40, 'trace_an': -8896}
  • id: 19375132
    {'hecke_orbit_code': 4503599728034330, 'n': 41, 'trace_an': 10859}
  • id: 19375133
    {'hecke_orbit_code': 4503599728034330, 'n': 42, 'trace_an': 4868}
  • id: 19375134
    {'hecke_orbit_code': 4503599728034330, 'n': 43, 'trace_an': 23759}
  • id: 19375135
    {'hecke_orbit_code': 4503599728034330, 'n': 44, 'trace_an': 19856}
  • id: 19375136
    {'hecke_orbit_code': 4503599728034330, 'n': 45, 'trace_an': 28006}
  • id: 19375137
    {'hecke_orbit_code': 4503599728034330, 'n': 46, 'trace_an': -42272}
  • id: 19375138
    {'hecke_orbit_code': 4503599728034330, 'n': 47, 'trace_an': 38457}
  • id: 19375139
    {'hecke_orbit_code': 4503599728034330, 'n': 48, 'trace_an': 8448}
  • id: 19375140
    {'hecke_orbit_code': 4503599728034330, 'n': 49, 'trace_an': 57376}
  • id: 19375141
    {'hecke_orbit_code': 4503599728034330, 'n': 50, 'trace_an': -63520}
  • id: 19375142
    {'hecke_orbit_code': 4503599728034330, 'n': 51, 'trace_an': 58237}
  • id: 19375143
    {'hecke_orbit_code': 4503599728034330, 'n': 52, 'trace_an': -3232}
  • id: 19375144
    {'hecke_orbit_code': 4503599728034330, 'n': 53, 'trace_an': 73586}
  • id: 19375145
    {'hecke_orbit_code': 4503599728034330, 'n': 54, 'trace_an': -33024}
  • id: 19375146
    {'hecke_orbit_code': 4503599728034330, 'n': 55, 'trace_an': 25923}
  • id: 19375147
    {'hecke_orbit_code': 4503599728034330, 'n': 56, 'trace_an': 1600}
  • id: 19375148
    {'hecke_orbit_code': 4503599728034330, 'n': 57, 'trace_an': 52534}
  • id: 19375149
    {'hecke_orbit_code': 4503599728034330, 'n': 58, 'trace_an': 8488}
  • id: 19375150
    {'hecke_orbit_code': 4503599728034330, 'n': 59, 'trace_an': 68927}
  • id: 19375151
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  • id: 19375210
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  • id: 19375215
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  • id: 19375218
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  • id: 19375219
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  • id: 19375220
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  • id: 19375221
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  • id: 19375224
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  • id: 19375229
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  • id: 19375230
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  • id: 19375232
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  • id: 19375250
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  • id: 19375280
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  • id: 19375299
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  • id: 19375330
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  • id: 19375331
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  • id: 19375332
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  • id: 19375340
    {'hecke_orbit_code': 4503599728034330, 'n': 941, 'trace_an': -26333662}
  • id: 19375341
    {'hecke_orbit_code': 4503599728034330, 'n': 947, 'trace_an': 109620151}
  • id: 19375342
    {'hecke_orbit_code': 4503599728034330, 'n': 953, 'trace_an': 38874054}
  • id: 19375343
    {'hecke_orbit_code': 4503599728034330, 'n': 961, 'trace_an': -41231416}
  • id: 19375344
    {'hecke_orbit_code': 4503599728034330, 'n': 967, 'trace_an': -54165822}
  • id: 19375345
    {'hecke_orbit_code': 4503599728034330, 'n': 971, 'trace_an': -38805093}
  • id: 19375346
    {'hecke_orbit_code': 4503599728034330, 'n': 977, 'trace_an': 160155850}
  • id: 19375347
    {'hecke_orbit_code': 4503599728034330, 'n': 983, 'trace_an': 90343517}
  • id: 19375348
    {'hecke_orbit_code': 4503599728034330, 'n': 991, 'trace_an': 13820383}
  • id: 19375349
    {'hecke_orbit_code': 4503599728034330, 'n': 997, 'trace_an': -56376982}