Newform data - 1800.4.f.v

Formats: - HTML - YAML - JSON - 2024-04-23T08:13:43.966687

• 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
  conrey_indexes	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_polredabs	boolean
  is_rm	boolean
  is_self_dual	boolean
  is_self_twist	boolean
  is_twist_minimal	boolean
  label	text
  level	integer
  level_is_prime	boolean
  level_is_prime_power	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': 28800, 'analytic_conductor': 106.2034380103331, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [1800, 2, [1351, 901, 1001, 577], [2, 2, 2, 1]], 'cm_discs': [], 'conrey_index': 649, 'conrey_indexes': [649], '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': [[7, [400, 0, 1]], [11, [-56, 1]]], 'hecke_orbit': 22, 'hecke_orbit_code': 94575935839274760, 'hecke_ring_generator_nbound': 13, 'hecke_ring_index': 2, 'hecke_ring_index_factorization': [[2, 1]], 'hecke_ring_index_proved': True, 'inner_twist_count': 2, 'inner_twists': [[1, 1, 1, 1, 1, 1, 1], [1, 1, 5, 2, 1, 2, 0]], 'is_cm': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '1800.4.f.v', 'level': 1800, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'minimal_twist': '120.4.a.b', 'nf_label': '2.0.4.1', 'prim_orbit_index': 2, 'qexp_display': 'q+10iq^{7}+56q^{11}+43iq^{13}+53iq^{17}+\\cdots', 'related_objects': [], 'relative_dim': 2, 'rm_discs': [], 'sato_tate_group': '3.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '1800.4.f', 'trace_display': [0, 0, 0, 0], 'trace_hash': 855502908168143778, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.052', 'prec': 17}, {'__RealLiteral__': 0, 'data': '1.872', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.536', 'prec': 17}, {'__RealLiteral__': 0, 'data': '14.599', 'prec': 20}, {'__RealLiteral__': 0, 'data': '6.221', 'prec': 17}, {'__RealLiteral__': 0, 'data': '142.653', 'prec': 24}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.508', 'prec': 17}, 'traces': [2, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, 0, 0, 0, 0, -8, 0, 0, 0, 0, 0, 0, 0, 0, 0, -412, 0, -304, 0, 0, 0, 0, 0, 0, 0, 0, 0, 492, 0, 0, 0, 0, 0, 0, 0, -114, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, -4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1344, 0, 0, 0, 0, 0, 0, 0, -816, 0, 0, 0, 0, 0, 0, 0, 0, 0, 132, 0, -3440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 396, 0, 0, 0, 0, 0, 0, 0, -124, 0, 0, 0, 0, 0, 0, 0, 0, 0, -4240, 0, 3610, 0, 0, 0, 0, 0, 0, 0, 0, 0, 528, 0, 0, 0, 0, 0, 0, 0, -3624, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3068, 0, -6032, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5440, 0, 0, 0, 0, 0, 0, 0, -10398, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7936, 0, -7028, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2960, 0, 0, 0, 0, 0, 0, 0, 1712, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 6040, 0, 0, 0, 0, 0, 0, 0, 0, 0, -18232, 0, 0, 0, 0, 0, 0, 0, 10084, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4272, 0, 196, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10080, 0, 0, 0, 0, 0, 0, 0, -11280, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13340, 0, 96, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3388, 0, 0, 0, 0, 0, 0, 0, -12646, 0, 0, 0, 0, 0, 0, 0, 0, 0, -23392, 0, 16480, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7552, 0, 0, 0, 0, 0, 0, 0, -23072, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1600, 0, 15960, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17024, 0, 0, 0, 0, 0, 0, 0, -17340, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3792, 0, -13686, 0, 0, 0, 0, 0, 0, 0, 0, 0, 5040, 0, 0, 0, 0, 0, 0, 0, -11240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4164, 0, -28832, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6540, 0, 0, 0, 0, 0, 0, 0, 12268, 0, 0, 0, 0, 0, 0, 0, 0, 0, -20784, 0, -25380, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14816, 0, 0, 0, 0, 0, 0, 0, 14320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17268, 0, 27552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4812, 0, 0, 0, 0, 0, 0, 0, 15520, 0, 0, 0, 0, 0, 0, 0, 0, 0, 28112, 0, -48504, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9216, 0, 0, 0, 0, 0, 0, 0, -4936, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3428, 0, 46800, 0, 0, 0, 0, 0, 0, 0, 0, 0, 36028, 0, 0, 0, 0, 0, 0, 0, -12658, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6384, 0, -28036, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1648, 0, 0, 0, 0, 0, 0, 0, 70864, 0, 0, 0, 0, 0, 0, 0, 0, 0, 46660, 0, -26248, 0, 0, 0, 0, 0, 0, 0, 0, 0, -26720, 0, 0, 0, 0, 0, 0, 0, 1216, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5328, 0, 47924, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6880, 0, 0, 0, 0, 0, 0, 0, -21448, 0, 0, 0, 0, 0, 0, 0, 0, 0, -59784, 0, -11488, 0, 0, 0, 0, 0, 0, 0, 0, 0, -55812, 0, 0, 0, 0, 0, 0, 0, 6272, 0, 0, 0, 0, 0, 0, 0, 0, 0, -3024, 0, 33420, 0, 0, 0, 0, 0, 0, 0, 0, 0, -224, 0, 0, 0, 0, 0, 0, 0, 37040, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21672, 0, -14648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 43868, 0, 0, 0, 0, 0, 0, 0, 21380, 0, 0, 0, 0, 0, 0, 0, 0, 0, 27584, 0, -61280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 87344, 0, 0, 0, 0, 0, 0, 0, 27672, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17760, 0, 23088, 0, 0, 0, 0, 0, 0, 0, 0, 0, 51324, 0, 0, 0, 0, 0, 0, 0, -61316, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1968, 0, 75264, 0, 0, 0, 0, 0, 0, 0, 0, 0, -16560, 0, 0, 0, 0, 0, 0, 0, 8480, 0, 0, 0, 0, 0, 0, 0, 0, 0, 49908, 0, 80008, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33140, 0, 0, 0, 0, 0, 0, 0, 42340, 0, 0, 0, 0, 0, 0, 0, 0, 0, 21328, 0, 36094, 0, 0, 0, 0, 0, 0, 0, 0, 0, -76704, 0, 0, 0, 0, 0, 0, 0, 37976, 0, 0, 0, 0, 0, 0, 0, 0, 0, -45696, 0, 66736, 0, 0, 0, 0, 0, 0, 0, 0, 0, -45780, 0, 0, 0, 0, 0, 0, 0, 39840, 0, 0, 0, 0, 0, 0, 0, 0, 0, 62624, 0, 26712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4288, 0, 0, 0, 0, 0, 0, 0, -67168, 0, 0, 0, 0, 0, 0, 0, 0, 0, -7180, 0, 456, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10348, 0, 0, 0, 0, 0, 0, 0, 201240, 0, 0, 0, 0, 0, 0, 0, 0, 0, 91120, 0, -13374, 0, 0, 0, 0, 0, 0, 0, 0, 0, 76928, 0, 0, 0, 0, 0, 0, 0, 7392, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112064, 0, -36320, 0, 0, 0, 0, 0, 0, 0, 0, 0, -192640, 0, 0, 0, 0, 0, 0, 0, -28612, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112112, 0, -24340, 0, 0, 0, 0, 0, 0, 0, 0, 0, 8720, 0, 0, 0, 0, 0, 0, 0, -62800, 0, 0, 0, 0, 0, 0, 0, 0, 0, -63612, 0, -120856, 0, 0, 0, 0, 0, 0, 0, 0, 0, -42340, 0, 0, 0, 0, 0, 0, 0, 124948, 0, 0, 0, 0, 0, 0, 0, 0, 0, -114896, 0, 10880, 0, 0, 0, 0, 0, 0, 0, 0, 0, 17904, 0, 0, 0, 0, 0, 0, 0, 72560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 67396, 0, 22176, 0, 0, 0, 0, 0, 0, 0, 0, 0, -448, 0, 0, 0, 0, 0, 0, 0, -128980, 0, 0, 0, 0, 0, 0, 0, 0, 0, 82256, 0, -73760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 126160, 0, 0, 0, 0, 0, 0, 0, 16, 0, 0, 0, 0, 0, 0, 0, 0, 0, 150720, 0, 760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 98636, 0, 0, 0, 0, 0, 0, 0, -101352, 0, 0, 0, 0, 0, 0, 0, 0, 0, -6944, 0, 103332, 0, 0, 0, 0, 0, 0, 0, 0, 0, -37520, 0, 0, 0, 0, 0, 0, 0, 34272, 0, 0, 0, 0, 0, 0, 0, 0, 0, -154476, 0, -127984, 0, 0, 0, 0, 0, 0, 0, 0, 0, 248040, 0, 0, 0, 0, 0, 0, 0, 119388, 0, 0, 0, 0, 0, 0, 0, 0, 0, 46320, 0, 159272, 0, 0, 0, 0, 0, 0, 0, 0, 0, -74784, 0, 0, 0, 0, 0, 0, 0, -40208, 0, 0, 0, 0, 0, 0, 0, 0, 0, -80796, 0, -4712, 0, 0, 0, 0, 0, 0, 0, 0, 0, -44644, 0, 0, 0, 0, 0, 0, 0, -237440, 0, 0, 0, 0, 0, 0, 0, 0, 0, 33344, 0, -148524, 0, 0, 0, 0, 0, 0, 0, 0, 0, 53088, 0, 0, 0, 0, 0, 0, 0, -263504, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5376, 0, -110960, 0, 0, 0, 0, 0, 0, 0, 0, 0, 75404, 0, 0, 0, 0, 0, 0, 0, -57742, 0, 0, 0, 0, 0, 0, 0, 0, 0, -152240, 0, -26660, 0, 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0, 0, 0, 0, -337792, 0, 0, 0, 0, 0, 0, 0, -63036, 0, 0, 0, 0, 0, 0, 0, 0, 0, 318240, 0, -16810, 0, 0, 0, 0, 0, 0, 0, 0, 0, -528, 0, 0, 0, 0, 0, 0, 0, 187672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 113204, 0, -23072, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56052, 0, 0, 0, 0, 0, 0, 0, 13760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 22560, 0, -59060, 0, 0, 0, 0, 0, 0, 0, 0, 0, -324784, 0, 0, 0, 0, 0, 0, 0, 60080, 0, 0, 0, 0, 0, 0, 0, 0, 0, 824, 0, -304640, 0, 0, 0, 0, 0, 0, 0, 0, 0, 391816, 0, 0, 0, 0, 0, 0, 0, -223516, 0, 0, 0, 0, 0, 0, 0, 0, 0, -79440, 0, 266740, 0, 0, 0, 0, 0, 0, 0, 0, 0, -240432, 0, 0, 0, 0, 0, 0, 0, -94128, 0, 0, 0, 0, 0, 0, 0, 0, 0, -17024, 0, 63312, 0, 0, 0, 0, 0, 0, 0, 0, 0, -56640, 0, 0, 0, 0, 0, 0, 0, -180474, 0, 0, 0, 0, 0, 0, 0, 0, 0, -582288, 0, -127396, 0, 0, 0, 0, 0, 0, 0, 0, 0, 254128, 0, 0, 0, 0, 0, 0, 0, 135408, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8124, 0, 608, 0, 0, 0, 0, 0, 0, 0, 0, 0, 77452, 0, 0, 0, 0, 0, 0, 0, -181696, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1584, 0, -87768, 0, 0, 0, 0, 0, 0, 0, 0, 0, -251856, 0, 0, 0, 0, 0, 0, 0, -277520, 0, 0, 0, 0, 0, 0, 0, 0, 0, -63852, 0, 133360, 0, 0, 0, 0, 0, 0, 0, 0, 0, 71064, 0, 0, 0, 0, 0, 0, 0, 444416, 0, 0, 0, 0, 0, 0, 0, 0, 0, -55696, 0, -254560, 0, 0, 0, 0, 0, 0, 0, 0, 0, -393568, 0, 0, 0, 0, 0, 0, 0, 138560, 0], 'weight': 4, 'weight_parity': 1}
• mf_hecke_nf •

  Column	Type
  an	jsonb
  ap	jsonb
  char_orbit_index	smallint
  field_poly	numeric[]
  hecke_orbit_code	bigint
  hecke_ring_character_values	jsonb
  hecke_ring_cyclotomic_generator	integer
  hecke_ring_denominators	numeric[]
  hecke_ring_inverse_denominators	numeric[]
  hecke_ring_inverse_numerators	numeric[]
  hecke_ring_numerators	numeric[]
  hecke_ring_power_basis	boolean
  hecke_ring_rank	integer
  label	text
  level	integer
  maxp	integer
  weight	smallint

  
  {'an': [[1, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 10], [0, 0], [0, 0], [0, 0], [56, 0], [0, 0], [0, 43], [0, 0], [0, 0], [0, 0], [0, 53], [0, 0], [-4, 0], [0, 0], [0, 0], [0, 0], [0, 68], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [-206, 0], [0, 0], [-152, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 141], [0, 0], [0, 0], [0, 0], [246, 0], [0, 0], [0, -206], [0, 0], [0, 0], [0, 0], [0, -20], [0, 0], [-57, 0], [0, 0], [0, 0], [0, 0], [0, -63], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [56, 0], [0, 0], [-2, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, -194], [0, 0], [0, 0], [0, 0], [672, 0], [0, 0], [0, -585], [0, 0], [0, 0], [0, 0], [0, 560], [0, 0], [-408, 0], [0, 0], [0, 0], [0, 0], [0, 334], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [66, 0], [0, 0], [-1720, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, 0], [0, -463], [0, 0], [0, 0], [0, 0]], 'ap': [[0, 0], [0, 0], [0, 0], [0, 10], [56, 0], [0, 43], [0, 53], [-4, 0], [0, 68], [-206, 0], [-152, 0], [0, 141], [246, 0], [0, -206], [0, -20], [0, -63], [56, 0], [-2, 0], [0, -194], [672, 0], [0, -585], [-408, 0], [0, 334], [66, 0], [0, -463], [198, 0], [0, 766], [0, 222], [-62, 0], [0, 207], [0, -498], [264, 0], [0, -1139], [-1812, 0], [-1534, 0], [-3016, 0], [0, -907], [0, 922], [0, -1884], [0, 469], [3968, 0], [-3514, 0], [1480, 0], [0, 1387], [0, 1903], [856, 0], [3020, 0], [0, 842], [0, -1002], [5042, 0], [0, -1545], [2136, 0], [98, 0], [5040, 0], [0, 993], [0, 708], [-6670, 0], [48, 0], [0, 3469], [1694, 0], [0, 3182], [0, -1567], [0, -118], [-3776, 0], [0, 3959], [0, -2181], [7980, 0], [0, -4147], [0, 482], [-8670, 0], [0, -1157], [-1896, 0], [0, 742], [0, -6185], [-5620, 0], [0, 2940], [2082, 0], [0, -871], [3270, 0], [6134, 0], [-10392, 0], [-12690, 0], [7408, 0], [0, 2531], [7160, 0], [0, 8550], [8634, 0], [0, 1493], [2406, 0], [0, 7158], [0, 146], [14056, 0], [0, -5602], [-4608, 0], [-2468, 0], [0, 6096], [1714, 0], [18014, 0], [0, 8374], [-14018, 0], [0, -206], [0, -9109], [0, 11762], [23330, 0], [-13124, 0], [0, 5857], [0, 8814], [0, -1401], [-2664, 0], [23962, 0], [0, 5970], [0, -8397], [0, 10353], [-10724, 0], [-5744, 0], [-27906, 0], [0, -10278], [0, 5112], [0, -6491], [-1512, 0], [16710, 0], [0, -3981], [0, -6113], [0, -4374], [-7324, 0], [21934, 0], [10690, 0], [13792, 0], [0, -12002], [0, -4281], [13836, 0], [0, -11112], [11544, 0], [0, -1907], [25662, 0], [-30658, 0], [0, -15447], [0, 10798], [0, 4323], [24954, 0], [40004, 0], [-16570, 0], [0, 2194], [0, -7182], [21170, 0], [10664, 0], [0, 1595], [0, -10407], [18988, 0], [0, 5832], [0, -4123], [-22890, 0], [0, -16774], [0, 16132], [0, 25614], [2144, 0], [-33584, 0], [-3590, 0], [0, -10843], [5174, 0], [0, -17762], [0, -8061], [0, 9594], [38464, 0], [0, 21965], [0, 8664], [-18160, 0], [0, -4551], [-14306, 0], [0, -2855], [-56056, 0], [-12170, 0], [4360, 0], [0, -4225], [-31400, 0], [-31806, 0], [-60428, 0], [-21170, 0], [0, -1334], [62474, 0], [0, 4378], [8952, 0], [0, 12779], [0, 2509], [0, 11932], [33698, 0], [0, 18085], [0, 1154], [-64490, 0], [63080, 0], [0, -9157], [0, -18138], [380, 0], [49318, 0], [0, -23054], [0, 38227], [51666, 0], [0, -3789], [0, 5033], [0, 14776], [-77238, 0], [-63992, 0], [0, -14687], [59694, 0], [23160, 0], [0, 18659], [-20104, 0], [0, -14542], [-40398, 0], [-2356, 0], [0, -23707], [-22322, 0], [0, -15802], [0, -20022], [16672, 0], [-74262, 0], [0, 29390], [37702, 0], [0, -6216], [0, -31219], [-13330, 0], [84680, 0], [-92318, 0], [0, -12642], [0, 33690], [-28990, 0], [0, 3331], [-4768, 0], [0, -50762], [-105272, 0], [0, -27221], [-21852, 0], [-12400, 0], [68030, 0], [0, 13470], [0, 47304], [41070, 0], [0, 26265], [-94040, 0], [-38160, 0], [0, 33386], [52252, 0], [0, 20794], [-42094, 0], [0, 28267], [96800, 0], [0, 47414], [-80240, 0], [-23548, 0], [0, -53264], [0, 47193], [-21250, 0], [0, 24012], [-56810, 0], [0, 4381], [10968, 0], [-35242, 0], [0, -1206], [0, -41433], [0, 58953], [0, 55162], [0, 41510], [-31518, 0], [0, -27361], [0, -41311], [93836, 0], [56602, 0], [-28026, 0], [0, 22854], [0, -49807], [-29530, 0], [0, -4582], [0, 1407], [30040, 0], [0, 15661], [0, 8966], [0, -67478], [-111758, 0], [133370, 0], [-120216, 0], [0, -25200], [31656, 0], [0, 50888], [-63698, 0], [0, 28502], [127064, 0], [0, 14615], [0, -11337], [67704, 0], [-4062, 0], [38726, 0], [0, -60942], [0, 34863], [-125928, 0], [0, 79567], [-31926, 0], [66680, 0], [0, 69801], [-27848, 0], [0, -12606], [0, 26319], [0, -45477], [69280, 0]], 'char_orbit_index': 6, 'field_poly': [1, 0, 1], 'hecke_orbit_code': 94575935839274760, 'hecke_ring_character_values': [[1351, [1, 0]], [901, [1, 0]], [1001, [1, 0]], [577, [-1, 0]]], 'hecke_ring_cyclotomic_generator': 0, 'hecke_ring_denominators': [1, 1], 'hecke_ring_inverse_denominators': [1, 2], 'hecke_ring_inverse_numerators': [[1, 0], [0, 1]], 'hecke_ring_numerators': [[1, 0], [0, 2]], 'hecke_ring_power_basis': False, 'hecke_ring_rank': 2, 'label': '1800.4.f.v', 'level': 1800, 'maxp': 1999, 'weight': 4}
• mf_newspaces •

  Column	Type
  AL_dims	jsonb
  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_prime	boolean
  level_is_prime_power	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': 28800, 'analytic_conductor': 106.2034380103331, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 6, 'char_orbit_label': 'f', 'char_order': 2, 'char_parity': 1, 'char_values': [1800, 2, [1351, 901, 1001, 577], [2, 2, 2, 1]], 'conrey_index': 649, 'cusp_dim': 1032, 'dim': 68, 'eis_dim': 96, 'eis_new_dim': 0, 'hecke_cutter_primes': [7, 11], 'hecke_orbit_code': 343664494344, 'hecke_orbit_dims': [2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 4, 4, 6, 6], 'label': '1800.4.f', 'level': 1800, 'level_is_prime': False, 'level_is_prime_power': False, 'level_is_square': False, 'level_is_squarefree': False, 'level_primes': [2, 3, 5], 'level_radical': 30, 'mf_dim': 1128, 'mf_new_dim': 68, 'num_forms': 28, 'prim_orbit_index': 2, 'relative_dim': 68, 'sturm_bound': 1440, 'trace_bound': 29, 'trace_display': [0, 0, 0, 0], 'traces': [68, 0, 0, 0, 0, 0, 0, 0, 0, 0, 38, 0, 0, 0, 0, 0, 0, 0, 46, 0, 0, 0, 0, 0, 0, 0, 0, 0, -188, 0, 492, 0, 0, 0, 0, 0, 0, 0, 0, 0, -234, 0, 0, 0, 0, 0, 0, 0, -2676, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1144, 0, 104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 984, 0, 0, 0, 0, 0, 0, 0, 692, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4374, 0, -40, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1488, 0, 0, 0, 0, 0, 0, 0, -2736, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8756, 0, 7290, 0, 0, 0, 0, 0, 0, 0, 0, 0, 7464, 0, 0, 0, 0, 0, 0, 0, 5126, 0, 0, 0, 0, 0, 0, 0, 0, 0, 9332, 0, -8804, 0, 0, 0, 0, 0, 0, 0, 0, 0, -8768, 0, 0, 0, 0, 0, 0, 0, -17260, 0, 0, 0, 0, 0, 0, 0, 0, 0, -19870, 0, 8760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2236, 0, 0, 0, 0, 0, 0, 0, 9104, 0, 0, 0, 0, 0, 0, 0, 0, 0, 19630, 0, -8210, 0, 0, 0, 0, 0, 0, 0, 0, 0, -5576, 0, 0, 0, 0, 0, 0, 0, -16100, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29376, 0, 14714, 0, 0, 0, 0, 0, 0, 0, 0, 0, 29298, 0, 0, 0, 0, 0, 0, 0, 7128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 25700, 0, -10284, 0, 0, 0, 0, 0, 0, 0, 0, 0, -19288, 0, 0, 0, 0, 0, 0, 0, -59946, 0, 0, 0, 0, 0, 0, 0, 0, 0, -64088, 0, 24616, 0, 0, 0, 0, 0, 0, 0, 0, 0, 14668, 0, 0, 0, 0, 0, 0, 0, 3552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 56216, 0, 2866, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1636, 0, 0, 0, 0, 0, 0, 0, -1176, 0, 0, 0, 0, 0, 0, 0, 0, 0, -55668, 0, 41106, 0, 0, 0, 0, 0, 0, 0, 0, 0, 34776, 0, 0, 0, 0, 0, 0, 0, 26906, 0, 0, 0, 0, 0, 0, 0, 0, 0, 48192, 0, 17500, 0, 0, 0, 0, 0, 0, 0, 0, 0, -30042, 0, 0, 0, 0, 0, 0, 0, -33586, 0, 0, 0, 0, 0, 0, 0, 0, 0, -69510, 0, -33012, 0, 0, 0, 0, 0, 0, 0, 0, 0, -13364, 0, 0, 0, 0, 0, 0, 0, 24648, 0, 0, 0, 0, 0, 0, 0, 0, 0, 89346, 0, -45222, 0, 0, 0, 0, 0, 0, 0, 0, 0, -14004, 0, 0, 0, 0, 0, 0, 0, -33276, 0, 0, 0, 0, 0, 0, 0, 0, 0, -52172, 0, -1128, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44136, 0, 0, 0, 0, 0, 0, 0, 31144, 0, 0, 0, 0, 0, 0, 0, 0, 0, 61552, 0, 16348, 0, 0, 0, 0, 0, 0, 0, 0, 0, -36850, 0, 0, 0, 0, 0, 0, 0, -57660, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104982, 0, -1092, 0, 0, 0, 0, 0, 0, 0, 0, 0, -33112, 0, 0, 0, 0, 0, 0, 0, 83208, 0, 0, 0, 0, 0, 0, 0, 0, 0, 119738, 0, -82552, 0, 0, 0, 0, 0, 0, 0, 0, 0, 6212, 0, 0, 0, 0, 0, 0, 0, 10732, 0, 0, 0, 0, 0, 0, 0, 0, 0, -29988, 0, 22678, 0, 0, 0, 0, 0, 0, 0, 0, 0, 106232, 0, 0, 0, 0, 0, 0, 0, 78760, 0, 0, 0, 0, 0, 0, 0, 0, 0, 44580, 0, 17340, 0, 0, 0, 0, 0, 0, 0, 0, 0, -79464, 0, 0, 0, 0, 0, 0, 0, -61792, 0, 0, 0, 0, 0, 0, 0, 0, 0, -90090, 0, 13412, 0, 0, 0, 0, 0, 0, 0, 0, 0, -85660, 0, 0, 0, 0, 0, 0, 0, 17312, 0, 0, 0, 0, 0, 0, 0, 0, 0, 124632, 0, -50494, 0, 0, 0, 0, 0, 0, 0, 0, 0, 31060, 0, 0, 0, 0, 0, 0, 0, 30252, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88148, 0, 151056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 155536, 0, 0, 0, 0, 0, 0, 0, 113888, 0, 0, 0, 0, 0, 0, 0, 0, 0, 124716, 0, -75472, 0, 0, 0, 0, 0, 0, 0, 0, 0, -96954, 0, 0, 0, 0, 0, 0, 0, -44978, 0, 0, 0, 0, 0, 0, 0, 0, 0, -115062, 0, -61240, 0, 0, 0, 0, 0, 0, 0, 0, 0, -104748, 0, 0, 0, 0, 0, 0, 0, -19672, 0, 0, 0, 0, 0, 0, 0, 0, 0, 91032, 0, -169464, 0, 0, 0, 0, 0, 0, 0, 0, 0, -19648, 0, 0, 0, 0, 0, 0, 0, -79788, 0, 0, 0, 0, 0, 0, 0, 0, 0, 10472, 0, 78052, 0, 0, 0, 0, 0, 0, 0, 0, 0, 117576, 0, 0, 0, 0, 0, 0, 0, 136566, 0, 0, 0, 0, 0, 0, 0, 0, 0, 23268, 0, 203664, 0, 0, 0, 0, 0, 0, 0, 0, 0, -27552, 0, 0, 0, 0, 0, 0, 0, 136696, 0, 0, 0, 0, 0, 0, 0, 0, 0, -91592, 0, 4316, 0, 0, 0, 0, 0, 0, 0, 0, 0, -88240, 0, 0, 0, 0, 0, 0, 0, 70796, 0, 0, 0, 0, 0, 0, 0, 0, 0, 104200, 0, -109182, 0, 0, 0, 0, 0, 0, 0, 0, 0, -9676, 0, 0, 0, 0, 0, 0, 0, 13792, 0, 0, 0, 0, 0, 0, 0, 0, 0, 107228, 0, -159916, 0, 0, 0, 0, 0, 0, 0, 0, 0, 312598, 0, 0, 0, 0, 0, 0, 0, 39010, 0, 0, 0, 0, 0, 0, 0, 0, 0, -39704, 0, -153212, 0, 0, 0, 0, 0, 0, 0, 0, 0, -54248, 0, 0, 0, 0, 0, 0, 0, -43746, 0, 0, 0, 0, 0, 0, 0, 0, 0, -139618, 0, -49448, 0, 0, 0, 0, 0, 0, 0, 0, 0, -417764, 0, 0, 0, 0, 0, 0, 0, -70280, 0, 0, 0, 0, 0, 0, 0, 0, 0, 3414, 0, 80286, 0, 0, 0, 0, 0, 0, 0, 0, 0, 20488, 0, 0, 0, 0, 0, 0, 0, 42712, 0, 0, 0, 0, 0, 0, 0, 0, 0, 184304, 0, 122160, 0, 0, 0, 0, 0, 0, 0, 0, 0, 234102, 0, 0, 0, 0, 0, 0, 0, 236736, 0, 0, 0, 0, 0, 0, 0, 0, 0, -201556, 0, 180540, 0, 0, 0, 0, 0, 0, 0, 0, 0, -132536, 0, 0, 0, 0, 0, 0, 0, 8054, 0, 0, 0, 0, 0, 0, 0, 0, 0, 82174, 0, -362756, 0, 0, 0, 0, 0, 0, 0, 0, 0, -150520, 0, 0, 0, 0, 0, 0, 0, -330684, 0, 0, 0, 0, 0, 0, 0, 0, 0, -27120, 0, -346498, 0, 0, 0, 0, 0, 0, 0, 0, 0, 55528, 0, 0, 0, 0, 0, 0, 0, 3528, 0, 0, 0, 0, 0, 0, 0, 0, 0, 219572, 0, 110222, 0, 0, 0, 0, 0, 0, 0, 0, 0, 336536, 0, 0, 0, 0, 0, 0, 0, 40008, 0, 0, 0, 0, 0, 0, 0, 0, 0, -122856, 0, 566376, 0, 0, 0, 0, 0, 0, 0, 0, 0, 267102, 0, 0, 0, 0, 0, 0, 0, 96482, 0, 0, 0, 0, 0, 0, 0, 0, 0, 129528, 0, 365552, 0, 0, 0, 0, 0, 0, 0, 0, 0, -554100, 0, 0, 0, 0, 0, 0, 0, -147020, 0, 0, 0, 0, 0, 0, 0, 0, 0, -365520, 0, -118944, 0, 0, 0, 0, 0, 0, 0, 0, 0, 30016, 0, 0, 0, 0, 0, 0, 0, 115028, 0, 0, 0, 0, 0, 0, 0, 0, 0, 390364, 0, -352030, 0, 0, 0, 0, 0, 0, 0, 0, 0, 266922, 0, 0, 0, 0, 0, 0, 0, -246912, 0, 0, 0, 0, 0, 0, 0, 0, 0, -315096, 0, 165020, 0, 0, 0, 0, 0, 0, 0, 0, 0, 82366, 0, 0, 0, 0, 0, 0, 0, -26924, 0, 0, 0, 0, 0, 0, 0, 0, 0, 209312, 0, 125104, 0, 0, 0, 0, 0, 0, 0, 0, 0, -684840, 0, 0, 0, 0, 0, 0, 0, -461536, 0, 0, 0, 0, 0, 0, 0, 0, 0, -480566, 0, 75486, 0, 0, 0, 0, 0, 0, 0, 0, 0, 217188, 0, 0, 0, 0, 0, 0, 0, 259536, 0, 0, 0, 0, 0, 0, 0, 0, 0, 243992, 0, 187512, 0, 0, 0, 0, 0, 0, 0, 0, 0, 452146, 0, 0, 0, 0, 0, 0, 0, -356046, 0, 0, 0, 0, 0, 0, 0, 0, 0, -158640, 0, 302956, 0, 0, 0, 0, 0, 0, 0, 0, 0, 306290, 0, 0, 0, 0, 0, 0, 0, 189110, 0, 0, 0, 0, 0, 0, 0, 0, 0, 68134, 0, -480044, 0, 0, 0, 0, 0, 0, 0, 0, 0, -384696, 0, 0, 0, 0, 0, 0, 0, -576388, 0, 0, 0, 0, 0, 0, 0, 0, 0, -811914, 0, -539530, 0, 0, 0, 0, 0, 0, 0, 0, 0, 209068, 0, 0, 0, 0, 0, 0, 0, -155092, 0, 0, 0, 0, 0, 0, 0, 0, 0, 876392, 0, -84056, 0, 0, 0, 0, 0, 0, 0, 0, 0, 236368, 0, 0, 0, 0, 0, 0, 0, 89354, 0, 0, 0, 0, 0, 0, 0, 0, 0, -466752, 0, 1201200, 0, 0, 0, 0, 0, 0, 0, 0, 0, 236858, 0, 0, 0, 0, 0, 0, 0, 408554, 0, 0, 0, 0, 0, 0, 0, 0, 0, 64614, 0, 415356, 0, 0, 0, 0, 0, 0, 0, 0, 0, -887736, 0, 0, 0, 0, 0, 0, 0, -146752, 0, 0, 0, 0, 0, 0, 0, 0, 0, -112996, 0, -491296, 0, 0, 0, 0, 0, 0, 0, 0, 0, -228116, 0, 0, 0, 0, 0, 0, 0, 136940, 0, 0, 0, 0, 0, 0, 0, 0, 0, 810468, 0, -716022, 0, 0, 0, 0, 0, 0, 0, 0, 0, 425682, 0, 0, 0, 0, 0, 0, 0, -249346, 0, 0, 0, 0, 0, 0, 0, 0, 0, -609128, 0, -346432, 0, 0, 0, 0, 0, 0, 0, 0, 0, 241200, 0, 0, 0, 0, 0, 0, 0, 161320, 0, 0, 0, 0, 0, 0, 0, 0, 0, 42480, 0, 46692, 0, 0, 0, 0, 0, 0, 0, 0, 0, -791576, 0, 0, 0, 0, 0, 0, 0, -254136, 0, 0, 0, 0, 0, 0, 0, 0, 0, -405584, 0, 627560, 0, 0, 0, 0, 0, 0, 0, 0, 0, 453704, 0, 0, 0, 0, 0, 0, 0, 373828, 0, 0, 0, 0, 0, 0, 0, 0, 0, 462504, 0, 160232, 0, 0, 0, 0, 0, 0, 0, 0, 0, 566982, 0, 0, 0, 0, 0, 0, 0, 291254, 0, 0, 0, 0, 0, 0, 0, 0, 0, -522520, 0, 791564, 0, 0, 0, 0, 0, 0, 0, 0, 0, 253032, 0, 0, 0, 0, 0, 0, 0, -253628, 0, 0, 0, 0, 0, 0, 0, 0, 0, 423990, 0, -991900, 0, 0, 0, 0, 0, 0, 0, 0, 0, -569224, 0, 0, 0, 0, 0, 0, 0, -1054256, 0, 0, 0, 0, 0, 0, 0, 0, 0, -320856, 0, -594800, 0, 0, 0, 0, 0, 0, 0, 0, 0, -81520, 0, 0, 0, 0, 0, 0, 0, 539412, 0, 0, 0, 0, 0, 0, 0, 0, 0, 54348, 0, -302550, 0, 0, 0, 0, 0, 0, 0, 0, 0, 264594, 0, 0, 0, 0, 0, 0, 0, 88744, 0, 0, 0, 0, 0, 0, 0, 0, 0, 413904, 0, 1150652, 0, 0, 0, 0, 0, 0, 0, 0, 0, 156960, 0, 0, 0, 0, 0, 0, 0, 529042, 0, 0, 0, 0, 0, 0, 0, 0, 0, -126992, 0, 786092, 0, 0, 0, 0, 0, 0, 0, 0, 0, -1137932, 0, 0, 0, 0, 0, 0, 0, 171992, 0], 'weight': 4, 'weight_parity': 1}
• mf_twists_nf •

  Column	Type
  conductor	integer
  degree	integer
  multiplicity	smallint
  order	integer
  parity	smallint
  self_twist_disc	integer
  source_char_orbit	smallint
  source_dim	integer
  source_hecke_orbit	integer
  source_is_minimal	boolean
  source_label	text
  source_level	integer
  target_char_orbit	smallint
  target_dim	integer
  target_hecke_orbit	integer
  target_is_minimal	boolean
  target_label	text
  target_level	integer
  twist_class_label	text
  twist_class_level	integer
  twisting_char_label	text
  twisting_char_orbit	smallint
  weight	smallint

  
  
  • id: 819354
    {'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 2, 'target_is_minimal': True, 'target_label': '120.4.a.b', 'target_level': 120, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 4}
  • id: 819355
    {'conductor': 60, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 7, 'target_is_minimal': False, 'target_label': '240.4.a.g', 'target_level': 240, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 4}
  • id: 819356
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 14, 'target_is_minimal': False, 'target_label': '360.4.a.n', 'target_level': 360, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 4}
  • id: 819357
    {'conductor': 15, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 9, 'target_is_minimal': False, 'target_label': '600.4.a.i', 'target_level': 600, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '15.e', 'twisting_char_orbit': 5, 'weight': 4}
  • id: 819358
    {'conductor': 3, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '600.4.f.a', 'target_level': 600, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '3.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 819359
    {'conductor': 15, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 1, 'target_is_minimal': False, 'target_label': '600.4.f.a', 'target_level': 600, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '15.d', 'twisting_char_orbit': 4, 'weight': 4}
  • id: 819360
    {'conductor': 20, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 17, 'target_is_minimal': False, 'target_label': '720.4.a.q', 'target_level': 720, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '20.e', 'twisting_char_orbit': 5, 'weight': 4}
  • id: 819361
    {'conductor': 120, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 11, 'target_is_minimal': False, 'target_label': '960.4.a.k', 'target_level': 960, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '120.q', 'twisting_char_orbit': 17, 'weight': 4}
  • id: 819362
    {'conductor': 120, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 36, 'target_is_minimal': False, 'target_label': '960.4.a.bj', 'target_level': 960, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '120.w', 'twisting_char_orbit': 23, 'weight': 4}
  • id: 819363
    {'conductor': 60, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 16, 'target_is_minimal': False, 'target_label': '1200.4.a.p', 'target_level': 1200, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '60.l', 'twisting_char_orbit': 12, 'weight': 4}
  • id: 819364
    {'conductor': 12, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 20, 'target_is_minimal': False, 'target_label': '1200.4.f.t', 'target_level': 1200, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '12.b', 'twisting_char_orbit': 2, 'weight': 4}
  • id: 819365
    {'conductor': 60, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 20, 'target_is_minimal': False, 'target_label': '1200.4.f.t', 'target_level': 1200, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '60.h', 'twisting_char_orbit': 8, 'weight': 4}
  • id: 819366
    {'conductor': 5, 'degree': 2, 'multiplicity': 1, 'order': 4, 'parity': -1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 1, 'target_dim': 1, 'target_hecke_orbit': 6, 'target_is_minimal': False, 'target_label': '1800.4.a.f', 'target_level': 1800, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '5.c', 'twisting_char_orbit': 3, 'weight': 4}
  • id: 819367
    {'conductor': 1, 'degree': 1, 'multiplicity': 1, 'order': 1, 'parity': 1, 'self_twist_disc': 1, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '1800.4.f.v', 'target_level': 1800, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '1.a', 'twisting_char_orbit': 1, 'weight': 4}
  • id: 819368
    {'conductor': 5, 'degree': 1, 'multiplicity': 1, 'order': 2, 'parity': 1, 'self_twist_disc': 0, 'source_char_orbit': 6, 'source_dim': 2, 'source_hecke_orbit': 22, 'source_is_minimal': False, 'source_label': '1800.4.f.v', 'source_level': 1800, 'target_char_orbit': 6, 'target_dim': 2, 'target_hecke_orbit': 22, 'target_is_minimal': False, 'target_label': '1800.4.f.v', 'target_level': 1800, 'twist_class_label': '120.4.a.b', 'twist_class_level': 120, 'twisting_char_label': '5.b', 'twisting_char_orbit': 2, 'weight': 4}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2220125
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 2}
  • id: 2220126
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 3}
  • id: 2220127
    {'charpoly_factorization': [[[0, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 5}
  • id: 2220128
    {'charpoly_factorization': [[[400, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, 'p': 7}
  • id: 2220129
    {'charpoly_factorization': [[[-56, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 11}
  • id: 2220130
    {'charpoly_factorization': [[[7396, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, 'p': 13}
  • id: 2220131
    {'charpoly_factorization': [[[11236, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, 'p': 17}
  • id: 2220132
    {'charpoly_factorization': [[[4, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 19}
  • id: 2220133
    {'charpoly_factorization': [[[18496, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, 'p': 23}
  • id: 2220134
    {'charpoly_factorization': [[[206, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 29}
  • id: 2220135
    {'charpoly_factorization': [[[152, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 31}
  • id: 2220136
    {'charpoly_factorization': [[[79524, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, 'p': 37}
  • id: 2220137
    {'charpoly_factorization': [[[-246, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 41}
  • id: 2220138
    {'charpoly_factorization': [[[169744, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, 'p': 43}
  • id: 2220139
    {'charpoly_factorization': [[[1600, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, 'p': 47}
  • id: 2220140
    {'charpoly_factorization': [[[15876, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, 'p': 53}
  • id: 2220141
    {'charpoly_factorization': [[[-56, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 59}
  • id: 2220142
    {'charpoly_factorization': [[[2, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 61}
  • id: 2220143
    {'charpoly_factorization': [[[150544, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, 'p': 67}
  • id: 2220144
    {'charpoly_factorization': [[[-672, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 71}
  • id: 2220145
    {'charpoly_factorization': [[[1368900, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, 'p': 73}
  • id: 2220146
    {'charpoly_factorization': [[[408, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 79}
  • id: 2220147
    {'charpoly_factorization': [[[446224, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, 'p': 83}
  • id: 2220148
    {'charpoly_factorization': [[[-66, 1], 2]], 'hecke_orbit_code': 94575935839274760, 'p': 89}
  • id: 2220149
    {'charpoly_factorization': [[[857476, 0, 1], 1]], 'hecke_orbit_code': 94575935839274760, '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': 6, 'hecke_orbit': 22, 'label': '1800.4.f.v', 'level': 1800, 'portrait': 'data:image/png;base64,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', 'weight': 4}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 253129000
    {'hecke_orbit_code': 94575935839274760, 'n': 1, 'trace_an': 2}
  • id: 253129001
    {'hecke_orbit_code': 94575935839274760, 'n': 2, 'trace_an': 0}
  • id: 253129002
    {'hecke_orbit_code': 94575935839274760, 'n': 3, 'trace_an': 0}
  • id: 253129003
    {'hecke_orbit_code': 94575935839274760, 'n': 4, 'trace_an': 0}
  • id: 253129004
    {'hecke_orbit_code': 94575935839274760, 'n': 5, 'trace_an': 0}
  • id: 253129005
    {'hecke_orbit_code': 94575935839274760, 'n': 6, 'trace_an': 0}
  • id: 253129006
    {'hecke_orbit_code': 94575935839274760, 'n': 7, 'trace_an': 0}
  • id: 253129007
    {'hecke_orbit_code': 94575935839274760, 'n': 8, 'trace_an': 0}
  • id: 253129008
    {'hecke_orbit_code': 94575935839274760, 'n': 9, 'trace_an': 0}
  • id: 253129009
    {'hecke_orbit_code': 94575935839274760, 'n': 10, 'trace_an': 0}
  • id: 253129010
    {'hecke_orbit_code': 94575935839274760, 'n': 11, 'trace_an': 112}
  • id: 253129011
    {'hecke_orbit_code': 94575935839274760, 'n': 12, 'trace_an': 0}
  • id: 253129012
    {'hecke_orbit_code': 94575935839274760, 'n': 13, 'trace_an': 0}
  • id: 253129013
    {'hecke_orbit_code': 94575935839274760, 'n': 14, 'trace_an': 0}
  • id: 253129014
    {'hecke_orbit_code': 94575935839274760, 'n': 15, 'trace_an': 0}
  • id: 253129015
    {'hecke_orbit_code': 94575935839274760, 'n': 16, 'trace_an': 0}
  • id: 253129016
    {'hecke_orbit_code': 94575935839274760, 'n': 17, 'trace_an': 0}
  • id: 253129017
    {'hecke_orbit_code': 94575935839274760, 'n': 18, 'trace_an': 0}
  • id: 253129018
    {'hecke_orbit_code': 94575935839274760, 'n': 19, 'trace_an': -8}
  • id: 253129019
    {'hecke_orbit_code': 94575935839274760, 'n': 20, 'trace_an': 0}
  • id: 253129020
    {'hecke_orbit_code': 94575935839274760, 'n': 21, 'trace_an': 0}
  • id: 253129021
    {'hecke_orbit_code': 94575935839274760, 'n': 22, 'trace_an': 0}
  • id: 253129022
    {'hecke_orbit_code': 94575935839274760, 'n': 23, 'trace_an': 0}
  • id: 253129023
    {'hecke_orbit_code': 94575935839274760, 'n': 24, 'trace_an': 0}
  • id: 253129024
    {'hecke_orbit_code': 94575935839274760, 'n': 25, 'trace_an': 0}
  • id: 253129025
    {'hecke_orbit_code': 94575935839274760, 'n': 26, 'trace_an': 0}
  • id: 253129026
    {'hecke_orbit_code': 94575935839274760, 'n': 27, 'trace_an': 0}
  • id: 253129027
    {'hecke_orbit_code': 94575935839274760, 'n': 28, 'trace_an': 0}
  • id: 253129028
    {'hecke_orbit_code': 94575935839274760, 'n': 29, 'trace_an': -412}
  • id: 253129029
    {'hecke_orbit_code': 94575935839274760, 'n': 30, 'trace_an': 0}
  • id: 253129030
    {'hecke_orbit_code': 94575935839274760, 'n': 31, 'trace_an': -304}
  • id: 253129031
    {'hecke_orbit_code': 94575935839274760, 'n': 32, 'trace_an': 0}
  • id: 253129032
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  • id: 253129999
    {'hecke_orbit_code': 94575935839274760, 'n': 1000, 'trace_an': 0}