Embedded newform data - 1152.4.d.d.577.2

Formats: - HTML - YAML - JSON - 2025-01-13T03:07:02.864202

• 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': 18432, 'analytic_conductor': 67.97020032661318, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 8, 'char_degree': 1, 'char_is_minimal': True, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [1152, 2, [127, 901, 641], [2, 1, 2]], 'cm_discs': [-4], 'conrey_index': 577, 'dim': 2, 'field_disc': -4, 'field_disc_factorization': [[-1, 1], [2, 2]], 'field_poly': [1, 0, 1], 'field_poly_is_cyclotomic': True, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 4, 'has_non_self_twist': 1, 'hecke_cutters': [[5, [16, 0, 1]], [7, [0, 1]], [17, [94, 1]]], 'hecke_orbit': 4, 'hecke_orbit_code': 13511005107651712, 'hecke_ring_generator_nbound': 5, 'hecke_ring_index': 4, 'hecke_ring_index_factorization': [[2, 2]], 'hecke_ring_index_proved': True, 'inner_twist_count': 4, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 4, 2, -1, 2, -4], [1, 1, 8, 2, 1, 2, 0], [1, 1, 8, 4, -1, 2, 0]], 'is_cm': True, 'is_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': True, 'is_twist_minimal': False, 'label': '1152.4.d.d', 'level': 1152, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'minimal_twist': '128.4.b.c', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta q^{5}-23\\beta q^{13}-94 q^{17}+109 q^{25}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.1.d2', 'self_twist_discs': [-4], 'self_twist_type': 1, 'space_label': '1152.4.d', 'trace_display': [0, 0, 0, 0], 'trace_hash': 1613919465131518285, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.009', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.852', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '21.968', 'prec': 20}, {'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '290.888', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.759', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -188, 0, 0, 0, 0, 0, 0, 0, 218, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 460, 0, 0, 0, 0, 0, 0, 0, -686, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 736, 0, 0, 0, 0, 0, 0, 0, -2196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3340, 0, 0, 0, 0, 0, 0, 0, -1188, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4004, 0, 0, 0, 0, 0, 0, 0, 2662, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3212, 0, 0, 0, 0, 0, 0, 0, -2272, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -12534, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3168, 0, 0, 0, 0, 0, 0, 0, -10724, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1196, 0, 0, 0, 0, 0, 0, 0, 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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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0.0, -0.438730172000897, -0.25, -0.25, -0.4087161446383472, -0.48482158424965976, 0.13560858350047258, 0.0, -0.41780252856873445, -0.25, -0.2946318753571266, -0.25, -0.32400549292100206, 0.0, -0.3510108617013222, -0.25, -0.44523910673954503, -0.25, 0.0, 0.02890191049097623, -0.2407215147242559, -0.25, 0.15543518983588614, -0.4256038033933975, 0.0, -0.19559287194179026, -0.25, -0.11355829049909616, 0.0, 0.0, -0.3197157177002716, 0.0, -0.4342454028645973, -0.3652571722674382, 0.17355285024629813, -0.22749643509444004, -0.25, 0.02725406602652971, -0.25, -0.3735539997529639, -0.04070970928212866, 0.0, -0.3993993313500603, -0.25, 0.0, -0.3927083203365627, 0.0, -0.2367404977400451, -0.3843608559506286, -0.25, 0.0, -0.25, -0.3158930225246538, -0.25, -0.2264288184048956, -0.25, 0.025783817157642594, -0.4483828626538143, -0.25, -0.40199750246751775, -0.25, 0.0, -0.43769850365532187, -0.1016705727281732, -0.25, -0.25, 0.0, -0.2876165704833438, 0.0, -0.25, -0.29527357232832235, 0.0, -0.25, -0.2398466436304469, -0.33697896125931814, 0.0, -0.25, 0.0, 0.0, -0.25, -0.273199070355771, -0.45244423832830927, -0.25, -0.25, 0.0, 0.0, -0.25, -0.48582141942078566, -0.2380658651319613, -0.25, -0.28574294440682513, 0.0926159385857559, 0.0, 0.11984495492575503, 0.0, -0.3332240520413683, -0.018132530131222856, -0.25, 0.0, 0.07049186734551299, -0.2838142042510694, -0.0464349816996983, 0.0, -0.26793579284401947, -0.12186457292644844, 0.0, -0.45085195417634283, 0.11690815057434029, 0.0, -0.415366669792339, -0.25, -0.31411495787576965, -0.25, 0.0, 0.19342521187967673, -0.28699157757336347, 0.0, -0.25, -0.25, -0.25, -0.36717340878553684, 0.0, -0.25, -0.16404916532918917, 0.15710965637015922, -0.25, -0.05812089992893303, 0.19494104322827083, 0.0, -0.4121734689280981, 0.0, 0.10667882316611776, 0.10909910886955704, -0.25, 0.009874788822819898, 0.0, 0.0, -0.3700599088394471, 0.0871852291007779, -0.25], 'char_orbit_index': 4, 'conrey_index': 577, 'dual_conrey_index': 577, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 2, 'embedding_m': 2, 'embedding_root_imag': 1.0, 'embedding_root_real': 0.0, 'hecke_orbit': 4, 'hecke_orbit_code': 13511005107651712, 'label': '1152.4.d.d.577.2', 'level': 1152, 'weight': 4}
• 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': 18432, 'analytic_conductor': 67.97020032661318, 'char_conductor': 8, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [1152, 2, [127, 901, 641], [2, 1, 2]], 'conrey_index': 577, 'cusp_dim': 544, 'dim': 60, 'eis_dim': 64, 'eis_new_dim': 0, 'hecke_cutter_primes': [5, 7, 17], 'hecke_orbit_code': 206225540224, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 4, 4, 4, 4, 4, 8, 8], 'label': '1152.4.d', 'level': 1152, 'level_is_powerful': True, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_prime_square': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3], 'level_radical': 6, 'mf_dim': 608, 'mf_new_dim': 60, 'num_forms': 17, 'prim_orbit_index': 2, 'relative_dim': 60, 'sturm_bound': 768, 'trace_bound': 17, 'trace_display': [0, 0, 0, 0], 'traces': [60, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104, 0, 0, 0, 0, 0, 0, 0, -1588, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -392, 0, 0, 0, 0, 0, 0, 0, 1500, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -416, 0, 0, 0, 0, 0, 0, 0, 24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1960, 0, 0, 0, 0, 0, 0, 0, 2008, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5368, 0, 0, 0, 0, 0, 0, 0, -6588, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7624, 0, 0, 0, 0, 0, 0, 0, 4800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192, 0, 0, 0, 0, 0, 0, 0, -23924, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 480, 0, 0, 0, 0, 0, 0, 0, 6072, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -11664, 0, 0, 0, 0, 0, 0, 0, -21184, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6232, 0, 0, 0, 0, 0, 0, 0, 4056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8696, 0, 0, 0, 0, 0, 0, 0, -9408, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4840, 0, 0, 0, 0, 0, 0, 0, 46804, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 15264, 0, 0, 0, 0, 0, 0, 0, -34248, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -43968, 0, 0, 0, 0, 0, 0, 0, 53976, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21112, 0, 0, 0, 0, 0, 0, 0, -38684, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29536, 0, 0, 0, 0, 0, 0, 0, 62720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 45976, 0, 0, 0, 0, 0, 0, 0, -44264, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25528, 0, 0, 0, 0, 0, 0, 0, 74424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3880, 0, 0, 0, 0, 0, 0, 0, -52648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42768, 0, 0, 0, 0, 0, 0, 0, -30112, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -21312, 0, 0, 0, 0, 0, 0, 0, -2880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 52472, 0, 0, 0, 0, 0, 0, 0, 8412, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48992, 0, 0, 0, 0, 0, 0, 0, -26176, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 97400, 0, 0, 0, 0, 0, 0, 0, 21752, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1976, 0, 0, 0, 0, 0, 0, 0, 79608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -57640, 0, 0, 0, 0, 0, 0, 0, 71196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -113000, 0, 0, 0, 0, 0, 0, 0, 49040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33408, 0, 0, 0, 0, 0, 0, 0, -30344, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20384, 0, 0, 0, 0, 0, 0, 0, 720, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -28224, 0, 0, 0, 0, 0, 0, 0, -156096, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 188016, 0, 0, 0, 0, 0, 0, 0, 165760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21496, 0, 0, 0, 0, 0, 0, 0, 42424, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 24864, 0, 0, 0, 0, 0, 0, 0, 73888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 186616, 0, 0, 0, 0, 0, 0, 0, -239920, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -209512, 0, 0, 0, 0, 0, 0, 0, 138412, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -55688, 0, 0, 0, 0, 0, 0, 0, -182016, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -122440, 0, 0, 0, 0, 0, 0, 0, -21824, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, -286304, 0, 0, 0, 0, 0, 0, 0, -142896, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8920, 0, 0, 0, 0, 0, 0, 0, -156936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 199352, 0, 0, 0, 0, 0, 0, 0, -49412, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 13976, 0, 0, 0, 0, 0, 0, 0, 102848, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], 'weight': 4, '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: 43151030
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511005107651712, 'target_is_minimal': False, 'target_label': '1152.4.d.d.577.2', 'target_level': 1152, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 4}
  • id: 43151031
    {'conductor': 3, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268041326720, 'target_is_minimal': True, 'target_label': '128.4.b.c.65.1', 'target_level': 128, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '3.2', 'twisting_conrey_index': 2, 'weight': 4}
  • id: 43151032
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 13511005107651712, 'target_is_minimal': False, 'target_label': '1152.4.d.d.577.2', 'target_level': 1152, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 43151033
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511005107651712, 'target_is_minimal': False, 'target_label': '1152.4.d.d.577.1', 'target_level': 1152, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '8.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 43151034
    {'conductor': 8, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 577, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13511005107651712, 'target_is_minimal': False, 'target_label': '1152.4.d.d.577.1', 'target_level': 1152, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '8.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 43151035
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 1, 'target_hecke_orbit_code': 9007268041326720, 'target_is_minimal': True, 'target_label': '128.4.b.c.65.1', 'target_level': 128, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 43151036
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713445632, 'target_is_minimal': False, 'target_label': '2304.4.a.j.1.1', 'target_level': 2304, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.3', 'twisting_conrey_index': 3, 'weight': 4}
  • id: 43151037
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831334144, 'target_is_minimal': False, 'target_label': '2304.4.a.g.1.1', 'target_level': 2304, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 43151038
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021597831334144, 'target_is_minimal': False, 'target_label': '2304.4.a.g.1.1', 'target_level': 2304, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 43151039
    {'conductor': 16, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 40532396713445632, 'target_is_minimal': False, 'target_label': '2304.4.a.j.1.1', 'target_level': 2304, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '16.13', 'twisting_conrey_index': 13, 'weight': 4}
  • id: 43151040
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268041326720, 'target_is_minimal': True, 'target_label': '128.4.b.c.65.2', 'target_level': 128, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '24.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 43151041
    {'conductor': 24, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 65, 'target_dim': 2, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268041326720, 'target_is_minimal': True, 'target_label': '128.4.b.c.65.2', 'target_level': 128, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '24.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 43151042
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576591104, 'target_is_minimal': False, 'target_label': '256.4.a.e.1.1', 'target_level': 256, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.5', 'twisting_conrey_index': 5, 'weight': 4}
  • id: 43151043
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 18014398576591104, 'target_is_minimal': False, 'target_label': '256.4.a.e.1.1', 'target_level': 256, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.11', 'twisting_conrey_index': 11, 'weight': 4}
  • id: 43151044
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949220608, 'target_is_minimal': False, 'target_label': '256.4.a.d.1.1', 'target_level': 256, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.29', 'twisting_conrey_index': 29, 'weight': 4}
  • id: 43151045
    {'conductor': 48, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 577, 'source_dim': 2, 'source_embedding_index': 2, 'source_hecke_orbit_code': 13511005107651712, 'source_is_minimal': False, 'source_label': '1152.4.d.d.577.2', 'source_level': 1152, 'target_conrey_index': 1, 'target_dim': 1, 'target_embedding_index': 1, 'target_hecke_orbit_code': 13510798949220608, 'target_is_minimal': False, 'target_label': '256.4.a.d.1.1', 'target_level': 256, 'twist_class_label': '128.4.b.c.65.1', 'twist_class_level': 128, 'twisting_char_label': '48.35', 'twisting_conrey_index': 35, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 1725700
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 2}
  • id: 1725701
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 3}
  • id: 1725702
    {'charpoly_factorization': [[[16, 0, 1], 1]], 'hecke_orbit_code': 13511005107651712, 'p': 5}
  • id: 1725703
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 7}
  • id: 1725704
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 11}
  • id: 1725705
    {'charpoly_factorization': [[[8464, 0, 1], 1]], 'hecke_orbit_code': 13511005107651712, 'p': 13}
  • id: 1725706
    {'charpoly_factorization': [[[94, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 17}
  • id: 1725707
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 19}
  • id: 1725708
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 23}
  • id: 1725709
    {'charpoly_factorization': [[[80656, 0, 1], 1]], 'hecke_orbit_code': 13511005107651712, 'p': 29}
  • id: 1725710
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 31}
  • id: 1725711
    {'charpoly_factorization': [[[156816, 0, 1], 1]], 'hecke_orbit_code': 13511005107651712, 'p': 37}
  • id: 1725712
    {'charpoly_factorization': [[[-230, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 41}
  • id: 1725713
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 43}
  • id: 1725714
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 47}
  • id: 1725715
    {'charpoly_factorization': [[[327184, 0, 1], 1]], 'hecke_orbit_code': 13511005107651712, 'p': 53}
  • id: 1725716
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 59}
  • id: 1725717
    {'charpoly_factorization': [[[219024, 0, 1], 1]], 'hecke_orbit_code': 13511005107651712, 'p': 61}
  • id: 1725718
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 67}
  • id: 1725719
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 71}
  • id: 1725720
    {'charpoly_factorization': [[[1098, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 73}
  • id: 1725721
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 79}
  • id: 1725722
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 83}
  • id: 1725723
    {'charpoly_factorization': [[[1670, 1], 2]], 'hecke_orbit_code': 13511005107651712, 'p': 89}
  • id: 1725724
    {'charpoly_factorization': [[[594, 1], 2]], 'hecke_orbit_code': 13511005107651712, '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': 4, 'hecke_orbit': 4, 'label': '1152.4.d.d', 'level': 1152, 'portrait': 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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 36338245
    {'hecke_orbit_code': 13511005107651712, 'n': 1, 'trace_an': 2}
  • id: 36338246
    {'hecke_orbit_code': 13511005107651712, 'n': 2, 'trace_an': 0}
  • id: 36338247
    {'hecke_orbit_code': 13511005107651712, 'n': 3, 'trace_an': 0}
  • id: 36338248
    {'hecke_orbit_code': 13511005107651712, 'n': 4, 'trace_an': 0}
  • id: 36338249
    {'hecke_orbit_code': 13511005107651712, 'n': 5, 'trace_an': 0}
  • id: 36338250
    {'hecke_orbit_code': 13511005107651712, 'n': 6, 'trace_an': 0}
  • id: 36338251
    {'hecke_orbit_code': 13511005107651712, 'n': 7, 'trace_an': 0}
  • id: 36338252
    {'hecke_orbit_code': 13511005107651712, 'n': 8, 'trace_an': 0}
  • id: 36338253
    {'hecke_orbit_code': 13511005107651712, 'n': 9, 'trace_an': 0}
  • id: 36338254
    {'hecke_orbit_code': 13511005107651712, 'n': 10, 'trace_an': 0}
  • id: 36338255
    {'hecke_orbit_code': 13511005107651712, 'n': 11, 'trace_an': 0}
  • id: 36338256
    {'hecke_orbit_code': 13511005107651712, 'n': 12, 'trace_an': 0}
  • id: 36338257
    {'hecke_orbit_code': 13511005107651712, 'n': 13, 'trace_an': 0}
  • id: 36338258
    {'hecke_orbit_code': 13511005107651712, 'n': 14, 'trace_an': 0}
  • id: 36338259
    {'hecke_orbit_code': 13511005107651712, 'n': 15, 'trace_an': 0}
  • id: 36338260
    {'hecke_orbit_code': 13511005107651712, 'n': 16, 'trace_an': 0}
  • id: 36338261
    {'hecke_orbit_code': 13511005107651712, 'n': 17, 'trace_an': -188}
  • id: 36338262
    {'hecke_orbit_code': 13511005107651712, 'n': 18, 'trace_an': 0}
  • id: 36338263
    {'hecke_orbit_code': 13511005107651712, 'n': 19, 'trace_an': 0}
  • id: 36338264
    {'hecke_orbit_code': 13511005107651712, 'n': 20, 'trace_an': 0}
  • id: 36338265
    {'hecke_orbit_code': 13511005107651712, 'n': 21, 'trace_an': 0}
  • id: 36338266
    {'hecke_orbit_code': 13511005107651712, 'n': 22, 'trace_an': 0}
  • id: 36338267
    {'hecke_orbit_code': 13511005107651712, 'n': 23, 'trace_an': 0}
  • id: 36338268
    {'hecke_orbit_code': 13511005107651712, 'n': 24, 'trace_an': 0}
  • id: 36338269
    {'hecke_orbit_code': 13511005107651712, 'n': 25, 'trace_an': 218}
  • id: 36338270
    {'hecke_orbit_code': 13511005107651712, 'n': 26, 'trace_an': 0}
  • id: 36338271
    {'hecke_orbit_code': 13511005107651712, 'n': 27, 'trace_an': 0}
  • id: 36338272
    {'hecke_orbit_code': 13511005107651712, 'n': 28, 'trace_an': 0}
  • id: 36338273
    {'hecke_orbit_code': 13511005107651712, 'n': 29, 'trace_an': 0}
  • id: 36338274
    {'hecke_orbit_code': 13511005107651712, 'n': 30, 'trace_an': 0}
  • id: 36338275
    {'hecke_orbit_code': 13511005107651712, 'n': 31, 'trace_an': 0}
  • id: 36338276
    {'hecke_orbit_code': 13511005107651712, 'n': 32, 'trace_an': 0}
  • id: 36338277
    {'hecke_orbit_code': 13511005107651712, 'n': 33, 'trace_an': 0}
  • id: 36338278
    {'hecke_orbit_code': 13511005107651712, 'n': 34, 'trace_an': 0}
  • id: 36338279
    {'hecke_orbit_code': 13511005107651712, 'n': 35, 'trace_an': 0}
  • id: 36338280
    {'hecke_orbit_code': 13511005107651712, 'n': 36, 'trace_an': 0}
  • id: 36338281
    {'hecke_orbit_code': 13511005107651712, 'n': 37, 'trace_an': 0}
  • id: 36338282
    {'hecke_orbit_code': 13511005107651712, 'n': 38, 'trace_an': 0}
  • id: 36338283
    {'hecke_orbit_code': 13511005107651712, 'n': 39, 'trace_an': 0}
  • id: 36338284
    {'hecke_orbit_code': 13511005107651712, 'n': 40, 'trace_an': 0}
  • id: 36338285
    {'hecke_orbit_code': 13511005107651712, 'n': 41, 'trace_an': 460}
  • id: 36338286
    {'hecke_orbit_code': 13511005107651712, 'n': 42, 'trace_an': 0}
  • id: 36338287
    {'hecke_orbit_code': 13511005107651712, 'n': 43, 'trace_an': 0}
  • id: 36338288
    {'hecke_orbit_code': 13511005107651712, 'n': 44, 'trace_an': 0}
  • id: 36338289
    {'hecke_orbit_code': 13511005107651712, 'n': 45, 'trace_an': 0}
  • id: 36338290
    {'hecke_orbit_code': 13511005107651712, 'n': 46, 'trace_an': 0}
  • id: 36338291
    {'hecke_orbit_code': 13511005107651712, 'n': 47, 'trace_an': 0}
  • id: 36338292
    {'hecke_orbit_code': 13511005107651712, 'n': 48, 'trace_an': 0}
  • id: 36338293
    {'hecke_orbit_code': 13511005107651712, 'n': 49, 'trace_an': -686}
  • id: 36338294
    {'hecke_orbit_code': 13511005107651712, 'n': 50, 'trace_an': 0}
  • id: 36338295
    {'hecke_orbit_code': 13511005107651712, 'n': 51, 'trace_an': 0}
  • id: 36338296
    {'hecke_orbit_code': 13511005107651712, 'n': 52, 'trace_an': 0}
  • id: 36338297
    {'hecke_orbit_code': 13511005107651712, 'n': 53, 'trace_an': 0}
  • id: 36338298
    {'hecke_orbit_code': 13511005107651712, 'n': 54, 'trace_an': 0}
  • id: 36338299
    {'hecke_orbit_code': 13511005107651712, 'n': 55, 'trace_an': 0}
  • id: 36338300
    {'hecke_orbit_code': 13511005107651712, 'n': 56, 'trace_an': 0}
  • id: 36338301
    {'hecke_orbit_code': 13511005107651712, 'n': 57, 'trace_an': 0}
  • id: 36338302
    {'hecke_orbit_code': 13511005107651712, 'n': 58, 'trace_an': 0}
  • id: 36338303
    {'hecke_orbit_code': 13511005107651712, 'n': 59, 'trace_an': 0}
  • id: 36338304
    {'hecke_orbit_code': 13511005107651712, 'n': 60, 'trace_an': 0}
  • id: 36338305
    {'hecke_orbit_code': 13511005107651712, 'n': 61, 'trace_an': 0}
  • id: 36338306
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