Embedded newform data - 2320.2.d.g.929.6

Formats: - HTML - YAML - JSON - 2025-12-13T13:28:51.239429

• 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': 9280, 'analytic_conductor': 18.525293268937048, 'analytic_rank': 0, 'analytic_rank_proved': True, 'char_conductor': 5, 'char_degree': 1, 'char_is_minimal': False, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [2320, 2, [2031, 581, 1857, 321], [2, 2, 1, 2]], 'cm_discs': [], 'conrey_index': 929, 'dim': 6, 'field_disc': -84345856, 'field_disc_factorization': [[-1, 1], [2, 10], [7, 2], [41, 2]], 'field_poly': [1, 0, 41, 0, 13, 0, 1], 'field_poly_is_cyclotomic': False, 'field_poly_is_real_cyclotomic': False, 'field_poly_root_of_unity': 0, 'has_non_self_twist': 1, 'hecke_cutters': [[3, [4, 0, 56, 0, 15, 0, 1]], [7, [64, 0, 76, 0, 20, 0, 1]]], 'hecke_orbit': 7, 'hecke_orbit_code': 27021803956209936, 'hecke_ring_generator_nbound': 5, '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_largest': False, 'is_maximal': False, 'is_polredabs': True, 'is_rm': False, 'is_self_dual': False, 'is_self_twist': False, 'is_twist_minimal': False, 'label': '2320.2.d.g', 'level': 2320, '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': False, 'level_primes': [2, 5, 29], 'level_radical': 290, 'minimal_twist': '145.2.b.c', 'nf_label': '6.0.84345856.2', 'prim_orbit_index': 2, 'qexp_display': 'q+\\beta _{3}q^{3}-\\beta _{1}q^{5}+(1+\\beta _{1}+\\beta _{2}+\\beta _{3}+\\cdots)q^{7}+\\cdots', 'related_objects': [], 'relative_dim': 6, 'rm_discs': [], 'sato_tate_group': '1.2.3.c2', 'self_twist_discs': [], 'self_twist_type': 0, 'space_label': '2320.2.d', 'trace_display': [0, 0, 3, 0], 'trace_hash': 70422492925888057, 'trace_moments': [{'__RealLiteral__': 0, 'data': '0.000', 'prec': 17}, {'__RealLiteral__': 0, 'data': '5.579', 'prec': 17}, {'__RealLiteral__': 0, 'data': '0.429', 'prec': 17}, {'__RealLiteral__': 0, 'data': '176.604', 'prec': 24}, {'__RealLiteral__': 0, 'data': '56.122', 'prec': 20}, {'__RealLiteral__': 0, 'data': '8519.773', 'prec': 27}], 'trace_zratio': {'__RealLiteral__': 0, 'data': '0.510', 'prec': 17}, 'traces': [6, 0, 0, 0, 3, 0, 0, 0, -12, 0, 10, 0, 0, 0, -7, 0, 0, 0, 16, 0, -16, 0, 0, 0, 11, 0, 0, 0, 6, 0, -22, 0, 0, 0, 12, 0, 0, 0, -14, 0, 0, 0, 0, 0, -44, 0, 0, 0, 2, 0, -44, 0, 0, 0, -13, 0, 0, 0, 60, 0, 12, 0, 0, 0, 13, 0, 0, 0, 12, 0, -12, 0, 0, 0, -9, 0, 0, 0, 2, 0, 10, 0, 0, 0, -26, 0, 0, 0, 32, 0, -40, 0, 0, 0, 28, 0, 0, 0, 16, 0, 8, 0, 0, 0, -44, 0, 0, 0, 2, 0, -16, 0, 0, 0, 18, 0, 0, 0, 8, 0, 8, 0, 0, 0, -6, 0, 0, 0, 62, 0, -32, 0, 0, 0, -5, 0, 0, 0, 68, 0, 2, 0, 0, 0, 3, 0, 0, 0, -34, 0, 16, 0, 0, 0, 7, 0, 0, 0, -14, 0, -24, 0, 0, 0, -51, 0, 0, 0, -40, 0, -72, 0, 0, 0, 12, 0, 0, 0, -76, 0, 22, 0, 0, 0, 12, 0, 0, 0, 56, 0, 16, 0, 0, 0, -41, 0, 0, 0, 64, 0, -72, 0, 0, 0, 0, 0, 0, 0, 48, 0, -78, 0, 0, 0, -17, 0, 0, 0, -16, 0, 12, 0, 0, 0, -20, 0, 0, 0, -72, 0, 88, 0, 0, 0, -31, 0, 0, 0, -12, 0, 10, 0, 0, 0, -35, 0, 0, 0, -44, 0, -74, 0, 0, 0, -62, 0, 0, 0, -40, 0, -12, 0, 0, 0, -51, 0, 0, 0, 84, 0, 74, 0, 0, 0, -21, 0, 0, 0, 8, 0, 34, 0, 0, 0, -60, 0, 0, 0, 6, 0, 80, 0, 0, 0, 30, 0, 0, 0, 52, 0, 96, 0, 0, 0, -70, 0, 0, 0, -52, 0, -8, 0, 0, 0, -24, 0, 0, 0, 10, 0, 16, 0, 0, 0, 91, 0, 0, 0, 64, 0, -26, 0, 0, 0, -32, 0, 0, 0, 140, 0, -94, 0, 0, 0, 6, 0, 0, 0, 58, 0, 54, 0, 0, 0, -6, 0, 0, 0, 94, 0, -10, 0, 0, 0, 44, 0, 0, 0, 0, 0, 88, 0, 0, 0, 20, 0, 0, 0, 64, 0, 52, 0, 0, 0, 20, 0, 0, 0, 72, 0, 48, 0, 0, 0, -57, 0, 0, 0, 0, 0, -22, 0, 0, 0, -35, 0, 0, 0, 44, 0, -80, 0, 0, 0, -26, 0, 0, 0, 60, 0, -36, 0, 0, 0, -30, 0, 0, 0, 170, 0, -44, 0, 0, 0, -7, 0, 0, 0, 60, 0, 68, 0, 0, 0, -20, 0, 0, 0, 44, 0, 0, 0, 0, 0, -132, 0, 0, 0, 36, 0, 12, 0, 0, 0, 65, 0, 0, 0, -8, 0, -8, 0, 0, 0, -12, 0, 0, 0, -30, 0, -40, 0, 0, 0, 36, 0, 0, 0, 122, 0, -46, 0, 0, 0, -16, 0, 0, 0, 68, 0, -196, 0, 0, 0, 0, 0, 0, 0, -26, 0, -104, 0, 0, 0, 66, 0, 0, 0, 64, 0, -2, 0, 0, 0, -108, 0, 0, 0, 26, 0, -120, 0, 0, 0, -12, 0, 0, 0, 118, 0, -96, 0, 0, 0, -41, 0, 0, 0, 128, 0, 16, 0, 0, 0, -44, 0, 0, 0, 94, 0, -116, 0, 0, 0, -14, 0, 0, 0, -28, 0, -40, 0, 0, 0, -58, 0, 0, 0, -112, 0, 8, 0, 0, 0, -104, 0, 0, 0, -80, 0, 264, 0, 0, 0, -32, 0, 0, 0, -78, 0, 56, 0, 0, 0, 6, 0, 0, 0, -16, 0, 66, 0, 0, 0, 0, 0, 0, 0, -22, 0, 12, 0, 0, 0, -29, 0, 0, 0, 8, 0, -132, 0, 0, 0, 30, 0, 0, 0, 24, 0, -52, 0, 0, 0, 141, 0, 0, 0, 100, 0, -56, 0, 0, 0, -148, 0, 0, 0, -14, 0, -60, 0, 0, 0, 32, 0, 0, 0, 108, 0, 92, 0, 0, 0, -3, 0, 0, 0, 8, 0, -116, 0, 0, 0, -4, 0, 0, 0, 170, 0, -32, 0, 0, 0, 30, 0, 0, 0, -78, 0, -62, 0, 0, 0, 35, 0, 0, 0, 98, 0, 112, 0, 0, 0, 25, 0, 0, 0, -20, 0, -184, 0, 0, 0, 11, 0, 0, 0, 198, 0, 28, 0, 0, 0, -81, 0, 0, 0, -46, 0, 88, 0, 0, 0, 61, 0, 0, 0, 40, 0, 32, 0, 0, 0, 44, 0, 0, 0, 20, 0, -124, 0, 0, 0, 56, 0, 0, 0, -36, 0, 6, 0, 0, 0, -1, 0, 0, 0, 0, 0, -20, 0, 0, 0, -16, 0, 0, 0, -26, 0, 168, 0, 0, 0, 23, 0, 0, 0, -60, 0, 8, 0, 0, 0, 64, 0, 0, 0, -56, 0, -168, 0, 0, 0, 61, 0, 0, 0, 304, 0, 54, 0, 0, 0, -133, 0, 0, 0, -20, 0, -88, 0, 0, 0, -62, 0, 0, 0, 30, 0, 6, 0, 0, 0, -94, 0, 0, 0, -92, 0, -24, 0, 0, 0, -96, 0, 0, 0, 150, 0, 0, 0, 0, 0, -16, 0, 0, 0, 18, 0, -80, 0, 0, 0, 104, 0, 0, 0, -108, 0, -28, 0, 0, 0, -70, 0, 0, 0, -8, 0, -26, 0, 0, 0, -74, 0, 0, 0, -22, 0, -116, 0, 0, 0, -99, 0, 0, 0, -8, 0, 110, 0, 0, 0, -10, 0, 0, 0, 68, 0, 54, 0, 0, 0, 12, 0, 0, 0, 36, 0, 48, 0, 0, 0, -122, 0, 0, 0, -242, 0, 22, 0, 0, 0, 100, 0, 0, 0, -184, 0, 124, 0, 0, 0, 104, 0, 0, 0, -72, 0, -48, 0, 0, 0, -44, 0, 0, 0, -240, 0, -64, 0, 0, 0, -185, 0, 0, 0, 168, 0, 80, 0, 0, 0, 92, 0, 0, 0, 36, 0, 124, 0, 0, 0, 68, 0, 0, 0, 56, 0, 120, 0, 0, 0, -112, 0, 0, 0, -66, 0, -204, 0, 0, 0, 12, 0, 0, 0, -64, 0, -106, 0, 0, 0, 0, 0, 0, 0, 112, 0, 12, 0, 0, 0, 40, 0, 0, 0, 132, 0, 220, 0, 0, 0, 68, 0, 0, 0, -68, 0, -144, 0, 0, 0, -17, 0, 0, 0, -184, 0, 172, 0, 0, 0, 14, 0, 0, 0, -60, 0, 56, 0, 0, 0, -15, 0, 0, 0, 12, 0, 60, 0, 0, 0, -44, 0, 0, 0, -20, 0, 6, 0, 0, 0, -76, 0, 0, 0, 24, 0, 20, 0, 0, 0, 50, 0, 0, 0, 50, 0, -144, 0, 0, 0, 10, 0, 0, 0, 130, 0, 160, 0, 0, 0, -20, 0, 0, 0, 236, 0, -14, 0, 0, 0, 50, 0, 0, 0, -136, 0, 0, 0, 0, 0, -112, 0, 0, 0, -48, 0, -40, 0, 0, 0, 156, 0, 0, 0, -48, 0, -158, 0, 0, 0, 29, 0, 0, 0, -72, 0, -170, 0, 0, 0, -33, 0, 0, 0, 328, 0, 120, 0, 0, 0, 41, 0, 0, 0, 0, 0, 206, 0, 0, 0, -6, 0, 0, 0, -118, 0, 24, 0, 0, 0, 47, 0, 0, 0, -142, 0, 96, 0, 0, 0, 56, 0, 0, 0, 20, 0, 88, 0, 0, 0, -75, 0, 0, 0, 40, 0, 140, 0, 0, 0, 116, 0, 0, 0, -160, 0, 72, 0, 0, 0, -62, 0, 0, 0, -296, 0, -128, 0, 0, 0, 53, 0, 0, 0, -24, 0, -232, 0, 0, 0, 66, 0, 0, 0, -66, 0, 0, 0, 0, 0, 2, 0, 0, 0, -26, 0, 112, 0, 0, 0, 111, 0, 0, 0, 142, 0, 6, 0, 0, 0, -56, 0, 0, 0, 160, 0, 52, 0, 0, 0, -44, 0, 0, 0, 128, 0, 32, 0, 0, 0, -69, 0, 0, 0, 48, 0, 206, 0, 0, 0, -133, 0, 0, 0, 132, 0, -18, 0, 0, 0, -116, 0, 0, 0, -108, 0, -88, 0, 0, 0, -34, 0, 0, 0, -32, 0, -24, 0, 0, 0, 131, 0, 0, 0, -104, 0, -144, 0, 0, 0, -28, 0, 0, 0, 182, 0, -232, 0, 0, 0, -146, 0, 0, 0, 80, 0, -164, 0, 0, 0, -84, 0, 0, 0, -76, 0, 40, 0, 0, 0, 104, 0, 0, 0, -24, 0, -18, 0, 0, 0, 47, 0, 0, 0, -108, 0, -96, 0, 0, 0, -130, 0, 0, 0, -162, 0, 2, 0, 0, 0, -148, 0, 0, 0, 212, 0, -74, 0, 0, 0, 0, 0, 0, 0, 0, 0, 112, 0, 0, 0, -41, 0, 0, 0, -104, 0, 40, 0, 0, 0, 124, 0, 0, 0, 200, 0, -240, 0, 0, 0, -10, 0, 0, 0, 84, 0, 160, 0, 0, 0, 110, 0, 0, 0, -44, 0, 32, 0, 0, 0, 31, 0, 0, 0, -76, 0, 32, 0, 0, 0, -90, 0, 0, 0, 40, 0, -96, 0, 0, 0, 156, 0, 0, 0, -62, 0, -14, 0, 0, 0, 152, 0, 0, 0, -122, 0, 228, 0, 0, 0, 26, 0, 0, 0, -44, 0, -92, 0, 0, 0, 107, 0, 0, 0, -96, 0, 136, 0, 0, 0, -170, 0, 0, 0, -24, 0, -190, 0, 0, 0, 168, 0, 0, 0, 100, 0, 88, 0, 0, 0, -101, 0, 0, 0, -176, 0, -92, 0, 0, 0, -176, 0, 0, 0, -124, 0, 204, 0, 0, 0, 138, 0, 0, 0, -216, 0, 96, 0, 0, 0, -13, 0, 0, 0, 0, 0, -22, 0, 0, 0, 44, 0, 0, 0, -208, 0, 224, 0, 0, 0, -152, 0, 0, 0, -144, 0, 80, 0, 0, 0, 28, 0, 0, 0, 176, 0, -136, 0, 0, 0, 161, 0, 0, 0, -50, 0, -128, 0, 0, 0, 68, 0, 0, 0, 152, 0, -324, 0, 0, 0, -183, 0, 0, 0, 24, 0, -88, 0, 0, 0, -24, 0, 0, 0, -172, 0, -16, 0, 0, 0, 40, 0, 0, 0, -8, 0, -246, 0, 0, 0, -66, 0, 0, 0, 26, 0, 128, 0, 0, 0, 294, 0, 0, 0, 146, 0, 56, 0, 0, 0, -13, 0, 0, 0, -192, 0, 60, 0, 0, 0, 88, 0, 0, 0, -224, 0, -164, 0, 0, 0, 22, 0, 0, 0, -144, 0, -60, 0, 0, 0, 130, 0, 0, 0, 64, 0, 42, 0, 0, 0, 103, 0, 0, 0, -374, 0, 80, 0, 0, 0, 173, 0, 0, 0, 64, 0, 180, 0, 0, 0, -12, 0, 0, 0, 12, 0, -112, 0, 0, 0, -22, 0, 0, 0, -150, 0, 88, 0, 0, 0, -88, 0, 0, 0, 78, 0, -200, 0, 0, 0, 61, 0, 0, 0, -216, 0, 160, 0, 0, 0, 79, 0, 0, 0, 80, 0, 20, 0, 0, 0, -90, 0, 0, 0, -8, 0, 242, 0, 0, 0, 124, 0, 0, 0, -220, 0, 52, 0, 0, 0, -74, 0, 0, 0, -366, 0, 112, 0, 0, 0, 0, 0, 0, 0, 4, 0, -56, 0, 0, 0, 156, 0, 0, 0, 84, 0, -164, 0, 0, 0, -19, 0, 0, 0, 144, 0, 312, 0, 0, 0, 209, 0, 0, 0, -80, 0, -184, 0, 0, 0, 13, 0, 0, 0, 282, 0, -116, 0, 0, 0, 128, 0, 0, 0, 112, 0, 338, 0, 0, 0, 74, 0, 0, 0, 48, 0, 382, 0, 0, 0, 36, 0, 0, 0, -144, 0, 112, 0, 0, 0, -52, 0, 0, 0, 224, 0, -74, 0, 0, 0, 32, 0, 0, 0, 80, 0, 4, 0, 0, 0, 36, 0, 0, 0, -286, 0, 98, 0, 0, 0, -52, 0, 0, 0, 176, 0, 88, 0, 0, 0, 4, 0, 0, 0, -12, 0, 120, 0, 0, 0, 47, 0, 0, 0, 192, 0, 168, 0, 0, 0, 67, 0, 0, 0, -112, 0, 302, 0, 0, 0, -32, 0, 0, 0, 264, 0], 'weight': 2, 'weight_parity': 1}
• mf_hecke_cc •

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

  
  {'an_normalized': [[1.0, 0.0], [0.0, 0.0], [0.0, 1.6687035647966908], [0.0, 0.0], [0.9735202161348335, -0.22860093783006905], [0.0, 0.0], [0.0, 1.4788290245016644], [0.0, 0.0], [-1.7845715871651835, 0.0], [0.0, 0.0], [-0.8002935697454882, 0.0], [0.0, 0.0], [0.0, 1.5606276288590128], [0.0, 0.0], [0.3814671998729029, 1.6245166550658414], [0.0, 0.0], [0.0, 0.4530431798731497], [0.0, 0.0], [0.38987856578643537, 0.0], [0.0, 0.0], [-2.46772726491074, 0.0], [0.0, 0.0], [0.0, -0.14428668533519506], [0.0, 0.0], [0.8954832224464258, -0.4450952688099089], [0.0, 0.0], [0.0, -1.3092174043407392], [0.0, 0.0], [0.18569533817705186, 0.0], [0.0, 0.0], [0.1175109883147687, 0.0], [0.0, 0.0], [0.0, -1.3354527327181651], [0.0, 0.0], [0.3380617018914066, 1.4396699515593252], [0.0, 0.0], [0.0, 0.6432297514372675], [0.0, 0.0], [-2.6042248875972414, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, 0.0], [0.0, -1.6340995006081385], [0.0, 0.0], [-1.7373165172451324, 0.4079547384508558], [0.0, 0.0], [0.0, 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-0.2195604959845653, -0.4809639089918478, -0.4110898161753761, -0.18598608949314605, -0.4454977856900886, 0.137339992574358, -0.37593255657266633, -0.3139552485649405, -0.4982299942300832, -0.24604159336886086, 0.054094421855669976, -0.3572288267864786, -0.1348383404780155, -0.2878721408132401, -0.3952644245992843, -0.41473616880668346, -0.414053155057357, -0.257565223287975, 0.07755346208158188, 0.04817235964690827, -0.19580602521070362, -0.4259496483695025, -0.4174577098424253, -0.46036404237913775, -0.14960835113905552, -0.1217376521226367, -0.1808229487300076, 0.061100321752735054, -0.2427563567601473, -0.42447803651208366, -0.3850581313356471, -0.3868699231769561, -0.21952250850764216, 0.03126529618483461, 0.037030351106259865, -0.15647329462700496, -0.16627810577977042, -0.2161402759519438, 0.06531280874852748, -0.3200506357158296, -0.2364684296711992, -0.3980655859240484, -0.2746386356526047, -0.2716478445613228, 0.0020094934294763657, -0.09638595963942034, -0.32903595445098993, -0.4945730828882627, -0.3620427646184307, -0.11754809184145323], 'char_orbit_index': 4, 'conrey_index': 929, 'dual_conrey_index': 929, 'dual_embedding_index': 1, 'dual_embedding_m': 1, 'embedding_index': 6, 'embedding_m': 6, 'embedding_root_imag': 2.3022942321702398, 'embedding_root_real': 0.0, 'hecke_orbit': 7, 'hecke_orbit_code': 27021803956209936, 'label': '2320.2.d.g.929.6', 'level': 2320, 'weight': 2}
• mf_newspaces •

  Column	Type
  ALdims	integer[]
  ALdims_eis_new	integer[]
  ALdims_eis_old	integer[]
  ALdims_old	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': 9280, 'analytic_conductor': 18.525293268937048, 'char_conductor': 5, 'char_degree': 1, 'char_is_real': True, 'char_orbit_index': 4, 'char_orbit_label': 'd', 'char_order': 2, 'char_parity': 1, 'char_values': [2320, 2, [2031, 581, 1857, 321], [2, 2, 1, 2]], 'conrey_index': 929, 'cusp_dim': 348, 'dim': 84, 'eis_dim': 24, 'eis_new_dim': 0, 'hecke_cutter_primes': [3, 7], 'hecke_orbit_code': 206191986960, 'hecke_orbit_dims': [2, 2, 4, 4, 4, 4, 6, 10, 10, 16, 22], 'label': '2320.2.d', 'level': 2320, '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': False, 'level_primes': [2, 5, 29], 'level_radical': 290, 'mf_dim': 372, 'mf_new_dim': 84, 'num_forms': 11, 'prim_orbit_index': 2, 'relative_dim': 84, 'sturm_bound': 720, 'trace_bound': 11, 'trace_display': [0, 0, 0, 0], 'traces': [84, 0, 0, 0, 0, 0, 0, 0, -84, 0, -12, 0, 0, 0, 12, 0, 0, 0, 20, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 4, 0, 0, 0, -24, 0, 0, 0, -16, 0, -8, 0, 0, 0, 0, 0, 0, 0, -76, 0, -8, 0, 0, 0, 4, 0, 0, 0, 16, 0, 16, 0, 0, 0, -16, 0, 0, 0, -16, 0, -16, 0, 0, 0, 28, 0, 0, 0, -60, 0, 116, 0, 0, 0, 16, 0, 0, 0, 8, 0, 32, 0, 0, 0, 8, 0, 0, 0, 68, 0, 0, 0, 0, 0, 8, 0, 0, 0, -48, 0, -8, 0, 0, 0, -16, 0, 0, 0, 0, 0, 76, 0, 0, 0, -36, 0, 0, 0, -48, 0, -68, 0, 0, 0, 64, 0, 0, 0, -48, 0, 40, 0, 0, 0, 0, 0, 0, 0, 48, 0, -32, 0, 0, 0, 52, 0, 0, 0, -48, 0, 0, 0, 0, 0, 68, 0, 0, 0, -92, 0, -44, 0, 0, 0, 88, 0, 0, 0, -40, 0, -48, 0, 0, 0, 64, 0, 0, 0, -64, 0, 100, 0, 0, 0, 48, 0, 0, 0, 72, 0, -96, 0, 0, 0, 24, 0, 0, 0, 16, 0, 4, 0, 0, 0, 24, 0, 0, 0, -120, 0, 32, 0, 0, 0, 16, 0, 0, 0, -48, 0, -128, 0, 0, 0, 76, 0, 0, 0, 8, 0, 40, 0, 0, 0, 32, 0, 0, 0, 48, 0, -132, 0, 0, 0, 32, 0, 0, 0, -80, 0, 0, 0, 0, 0, 48, 0, 0, 0, -80, 0, -12, 0, 0, 0, 12, 0, 0, 0, -92, 0, -24, 0, 0, 0, -12, 0, 0, 0, -164, 0, 192, 0, 0, 0, -8, 0, 0, 0, -72, 0, 96, 0, 0, 0, -24, 0, 0, 0, -32, 0, 108, 0, 0, 0, 168, 0, 0, 0, -20, 0, -16, 0, 0, 0, 64, 0, 0, 0, 16, 0, -20, 0, 0, 0, -8, 0, 0, 0, -160, 0, -40, 0, 0, 0, 40, 0, 0, 0, 48, 0, -88, 0, 0, 0, -16, 0, 0, 0, 76, 0, 28, 0, 0, 0, 16, 0, 0, 0, 88, 0, 88, 0, 0, 0, 40, 0, 0, 0, -4, 0, 96, 0, 0, 0, 24, 0, 0, 0, -144, 0, -16, 0, 0, 0, 104, 0, 0, 0, -144, 0, -72, 0, 0, 0, -4, 0, 0, 0, -24, 0, 128, 0, 0, 0, -104, 0, 0, 0, -104, 0, -32, 0, 0, 0, 24, 0, 0, 0, -144, 0, 72, 0, 0, 0, 0, 0, 0, 0, 32, 0, -4, 0, 0, 0, 16, 0, 0, 0, -8, 0, 200, 0, 0, 0, -120, 0, 0, 0, -216, 0, 48, 0, 0, 0, 28, 0, 0, 0, -16, 0, 88, 0, 0, 0, 96, 0, 0, 0, -236, 0, 16, 0, 0, 0, 152, 0, 0, 0, 8, 0, 148, 0, 0, 0, 216, 0, 0, 0, 136, 0, -48, 0, 0, 0, 104, 0, 0, 0, -16, 0, 96, 0, 0, 0, -48, 0, 0, 0, -112, 0, -104, 0, 0, 0, 136, 0, 0, 0, -108, 0, -80, 0, 0, 0, 112, 0, 0, 0, -36, 0, -48, 0, 0, 0, 44, 0, 0, 0, -128, 0, 52, 0, 0, 0, 96, 0, 0, 0, -136, 0, 32, 0, 0, 0, -56, 0, 0, 0, 40, 0, -208, 0, 0, 0, -32, 0, 0, 0, -192, 0, 112, 0, 0, 0, -28, 0, 0, 0, -32, 0, 64, 0, 0, 0, -80, 0, 0, 0, -268, 0, 24, 0, 0, 0, 96, 0, 0, 0, 0, 0, -32, 0, 0, 0, 320, 0, 0, 0, -172, 0, 64, 0, 0, 0, 16, 0, 0, 0, -80, 0, -32, 0, 0, 0, 36, 0, 0, 0, 128, 0, -88, 0, 0, 0, 100, 0, 0, 0, 80, 0, 200, 0, 0, 0, -88, 0, 0, 0, 100, 0, -80, 0, 0, 0, 80, 0, 0, 0, -64, 0, 248, 0, 0, 0, -64, 0, 0, 0, -432, 0, 64, 0, 0, 0, 136, 0, 0, 0, -88, 0, 256, 0, 0, 0, -48, 0, 0, 0, -56, 0, -192, 0, 0, 0, -104, 0, 0, 0, -64, 0, 172, 0, 0, 0, -116, 0, 0, 0, -40, 0, -64, 0, 0, 0, 0, 0, 0, 0, -36, 0, 128, 0, 0, 0, -92, 0, 0, 0, -108, 0, 24, 0, 0, 0, -40, 0, 0, 0, 96, 0, 132, 0, 0, 0, 40, 0, 0, 0, -32, 0, 120, 0, 0, 0, -32, 0, 0, 0, -120, 0, -128, 0, 0, 0, -52, 0, 0, 0, -120, 0, 16, 0, 0, 0, 40, 0, 0, 0, 192, 0, 112, 0, 0, 0, -160, 0, 0, 0, 200, 0, -40, 0, 0, 0, 32, 0, 0, 0, -88, 0, 120, 0, 0, 0, 76, 0, 0, 0, 8, 0, -32, 0, 0, 0, 20, 0, 0, 0, -128, 0, 208, 0, 0, 0, -168, 0, 0, 0, 124, 0, 84, 0, 0, 0, -20, 0, 0, 0, -48, 0, 0, 0, 0, 0, 52, 0, 0, 0, 124, 0, -144, 0, 0, 0, 88, 0, 0, 0, -96, 0, 0, 0, 0, 0, -48, 0, 0, 0, -72, 0, 72, 0, 0, 0, -8, 0, 0, 0, -176, 0, -100, 0, 0, 0, -248, 0, 0, 0, 84, 0, 112, 0, 0, 0, 164, 0, 0, 0, -240, 0, 236, 0, 0, 0, -176, 0, 0, 0, 56, 0, -144, 0, 0, 0, 40, 0, 0, 0, 216, 0, 284, 0, 0, 0, 32, 0, 0, 0, -80, 0, 64, 0, 0, 0, 216, 0, 0, 0, 0, 0, -104, 0, 0, 0, -24, 0, 0, 0, -272, 0, 276, 0, 0, 0, 0, 0, 0, 0, -160, 0, -108, 0, 0, 0, 48, 0, 0, 0, 200, 0, 400, 0, 0, 0, -120, 0, 0, 0, 240, 0, -176, 0, 0, 0, 288, 0, 0, 0, 0, 0], 'weight': 2, 'weight_parity': 1}
• mf_twists_cc •

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

  
  
  • id: 45754067
    {'conductor': 1, 'degree': 1, 'order': 1, 'parity': 1, 'source_conrey_index': 929, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 27021803956209936, 'source_is_minimal': False, 'source_label': '2320.2.d.g.929.6', 'source_level': 2320, 'target_conrey_index': 929, 'target_dim': 6, 'target_embedding_index': 6, 'target_hecke_orbit_code': 27021803956209936, 'target_is_minimal': False, 'target_label': '2320.2.d.g.929.6', 'target_level': 2320, 'twist_class_label': '145.2.b.c.59.2', 'twist_class_level': 145, 'twisting_char_label': '1.1', 'twisting_conrey_index': 1, 'weight': 2}
  • id: 45754068
    {'conductor': 4, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 929, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 27021803956209936, 'source_is_minimal': False, 'source_label': '2320.2.d.g.929.6', 'source_level': 2320, 'target_conrey_index': 59, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 9007268007772305, 'target_is_minimal': True, 'target_label': '145.2.b.c.59.5', 'target_level': 145, 'twist_class_label': '145.2.b.c.59.2', 'twist_class_level': 145, 'twisting_char_label': '4.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 45754069
    {'conductor': 5, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 929, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 27021803956209936, 'source_is_minimal': False, 'source_label': '2320.2.d.g.929.6', 'source_level': 2320, 'target_conrey_index': 929, 'target_dim': 6, 'target_embedding_index': 1, 'target_hecke_orbit_code': 27021803956209936, 'target_is_minimal': False, 'target_label': '2320.2.d.g.929.1', 'target_level': 2320, 'twist_class_label': '145.2.b.c.59.2', 'twist_class_level': 145, 'twisting_char_label': '5.4', 'twisting_conrey_index': 4, 'weight': 2}
  • id: 45754070
    {'conductor': 12, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 929, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 27021803956209936, 'source_is_minimal': False, 'source_label': '2320.2.d.g.929.6', 'source_level': 2320, 'target_conrey_index': 784, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 31525334864102681, 'target_is_minimal': False, 'target_label': '1305.2.c.h.784.2', 'target_level': 1305, 'twist_class_label': '145.2.b.c.59.2', 'twist_class_level': 145, 'twisting_char_label': '12.11', 'twisting_conrey_index': 11, 'weight': 2}
  • id: 45754071
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 929, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 27021803956209936, 'source_is_minimal': False, 'source_label': '2320.2.d.g.929.6', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 49539595934630613, 'target_is_minimal': False, 'target_label': '725.2.a.l.1.5', 'target_level': 725, 'twist_class_label': '145.2.b.c.59.2', 'twist_class_level': 145, 'twisting_char_label': '20.3', 'twisting_conrey_index': 3, 'weight': 2}
  • id: 45754072
    {'conductor': 20, 'degree': 2, 'order': 4, 'parity': 1, 'source_conrey_index': 929, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 27021803956209936, 'source_is_minimal': False, 'source_label': '2320.2.d.g.929.6', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 49539595934630613, 'target_is_minimal': False, 'target_label': '725.2.a.l.1.2', 'target_level': 725, 'twist_class_label': '145.2.b.c.59.2', 'twist_class_level': 145, 'twisting_char_label': '20.7', 'twisting_conrey_index': 7, 'weight': 2}
  • id: 45754073
    {'conductor': 20, 'degree': 1, 'order': 2, 'parity': -1, 'source_conrey_index': 929, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 27021803956209936, 'source_is_minimal': False, 'source_label': '2320.2.d.g.929.6', 'source_level': 2320, 'target_conrey_index': 59, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 9007268007772305, 'target_is_minimal': True, 'target_label': '145.2.b.c.59.2', 'target_level': 145, 'twist_class_label': '145.2.b.c.59.2', 'twist_class_level': 145, 'twisting_char_label': '20.19', 'twisting_conrey_index': 19, 'weight': 2}
  • id: 45754074
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 929, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 27021803956209936, 'source_is_minimal': False, 'source_label': '2320.2.d.g.929.6', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 2, 'target_hecke_orbit_code': 202661983265233277, 'target_is_minimal': False, 'target_label': '6525.2.a.bt.1.2', 'target_level': 6525, 'twist_class_label': '145.2.b.c.59.2', 'twist_class_level': 145, 'twisting_char_label': '60.23', 'twisting_conrey_index': 23, 'weight': 2}
  • id: 45754075
    {'conductor': 60, 'degree': 2, 'order': 4, 'parity': -1, 'source_conrey_index': 929, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 27021803956209936, 'source_is_minimal': False, 'source_label': '2320.2.d.g.929.6', 'source_level': 2320, 'target_conrey_index': 1, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 202661983265233277, 'target_is_minimal': False, 'target_label': '6525.2.a.bt.1.5', 'target_level': 6525, 'twist_class_label': '145.2.b.c.59.2', 'twist_class_level': 145, 'twisting_char_label': '60.47', 'twisting_conrey_index': 47, 'weight': 2}
  • id: 45754076
    {'conductor': 60, 'degree': 1, 'order': 2, 'parity': 1, 'source_conrey_index': 929, 'source_dim': 6, 'source_embedding_index': 6, 'source_hecke_orbit_code': 27021803956209936, 'source_is_minimal': False, 'source_label': '2320.2.d.g.929.6', 'source_level': 2320, 'target_conrey_index': 784, 'target_dim': 6, 'target_embedding_index': 5, 'target_hecke_orbit_code': 31525334864102681, 'target_is_minimal': False, 'target_label': '1305.2.c.h.784.5', 'target_level': 1305, 'twist_class_label': '145.2.b.c.59.2', 'twist_class_level': 145, 'twisting_char_label': '60.59', 'twisting_conrey_index': 59, 'weight': 2}
• mf_hecke_charpolys •

  Column	Type
  charpoly_factorization	jsonb
  hecke_orbit_code	bigint
  p	integer

  
  
  • id: 2572650
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 27021803956209936, 'p': 2}
  • id: 2572651
    {'charpoly_factorization': [[[4, 0, 56, 0, 15, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 3}
  • id: 2572652
    {'charpoly_factorization': [[[125, -75, -5, 14, -1, -3, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 5}
  • id: 2572653
    {'charpoly_factorization': [[[64, 0, 76, 0, 20, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 7}
  • id: 2572654
    {'charpoly_factorization': [[[38, -6, -5, 1], 2]], 'hecke_orbit_code': 27021803956209936, 'p': 11}
  • id: 2572655
    {'charpoly_factorization': [[[5776, 0, 1048, 0, 59, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 13}
  • id: 2572656
    {'charpoly_factorization': [[[784, 0, 380, 0, 48, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 17}
  • id: 2572657
    {'charpoly_factorization': [[[8, 6, -8, 1], 2]], 'hecke_orbit_code': 27021803956209936, 'p': 19}
  • id: 2572658
    {'charpoly_factorization': [[[16, 0, 60, 0, 56, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 23}
  • id: 2572659
    {'charpoly_factorization': [[[-1, 1], 6]], 'hecke_orbit_code': 27021803956209936, 'p': 29}
  • id: 2572660
    {'charpoly_factorization': [[[-22, 26, 11, 1], 2]], 'hecke_orbit_code': 27021803956209936, 'p': 31}
  • id: 2572661
    {'charpoly_factorization': [[[64, 0, 76, 0, 20, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 37}
  • id: 2572662
    {'charpoly_factorization': [[[0, 1], 6]], 'hecke_orbit_code': 27021803956209936, 'p': 41}
  • id: 2572663
    {'charpoly_factorization': [[[196, 0, 1400, 0, 127, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 43}
  • id: 2572664
    {'charpoly_factorization': [[[8836, 0, 1304, 0, 63, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 47}
  • id: 2572665
    {'charpoly_factorization': [[[5776, 0, 7640, 0, 187, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 53}
  • id: 2572666
    {'charpoly_factorization': [[[-10, 1], 6]], 'hecke_orbit_code': 27021803956209936, 'p': 59}
  • id: 2572667
    {'charpoly_factorization': [[[-64, -64, -6, 1], 2]], 'hecke_orbit_code': 27021803956209936, 'p': 61}
  • id: 2572668
    {'charpoly_factorization': [[[92416, 0, 6316, 0, 140, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 67}
  • id: 2572669
    {'charpoly_factorization': [[[2, 1], 6]], 'hecke_orbit_code': 27021803956209936, 'p': 71}
  • id: 2572670
    {'charpoly_factorization': [[[3136, 0, 8556, 0, 188, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 73}
  • id: 2572671
    {'charpoly_factorization': [[[-98, -54, -1, 1], 2]], 'hecke_orbit_code': 27021803956209936, 'p': 79}
  • id: 2572672
    {'charpoly_factorization': [[[784, 0, 380, 0, 48, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, 'p': 83}
  • id: 2572673
    {'charpoly_factorization': [[[304, 28, -16, 1], 2]], 'hecke_orbit_code': 27021803956209936, 'p': 89}
  • id: 2572674
    {'charpoly_factorization': [[[7744, 0, 52396, 0, 476, 0, 1], 1]], 'hecke_orbit_code': 27021803956209936, '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': 7, 'label': '2320.2.d.g', 'level': 2320, 'portrait': 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', 'weight': 2}
• mf_hecke_traces •

  Column	Type
  hecke_orbit_code	bigint
  n	integer
  trace_an	numeric

  
  
  • id: 47240293
    {'hecke_orbit_code': 27021803956209936, 'n': 1, 'trace_an': 6}
  • id: 47240294
    {'hecke_orbit_code': 27021803956209936, 'n': 2, 'trace_an': 0}
  • id: 47240295
    {'hecke_orbit_code': 27021803956209936, 'n': 3, 'trace_an': 0}
  • id: 47240296
    {'hecke_orbit_code': 27021803956209936, 'n': 4, 'trace_an': 0}
  • id: 47240297
    {'hecke_orbit_code': 27021803956209936, 'n': 5, 'trace_an': 3}
  • id: 47240298
    {'hecke_orbit_code': 27021803956209936, 'n': 6, 'trace_an': 0}
  • id: 47240299
    {'hecke_orbit_code': 27021803956209936, 'n': 7, 'trace_an': 0}
  • id: 47240300
    {'hecke_orbit_code': 27021803956209936, 'n': 8, 'trace_an': 0}
  • id: 47240301
    {'hecke_orbit_code': 27021803956209936, 'n': 9, 'trace_an': -12}
  • id: 47240302
    {'hecke_orbit_code': 27021803956209936, 'n': 10, 'trace_an': 0}
  • id: 47240303
    {'hecke_orbit_code': 27021803956209936, 'n': 11, 'trace_an': 10}
  • id: 47240304
    {'hecke_orbit_code': 27021803956209936, 'n': 12, 'trace_an': 0}
  • id: 47240305
    {'hecke_orbit_code': 27021803956209936, 'n': 13, 'trace_an': 0}
  • id: 47240306
    {'hecke_orbit_code': 27021803956209936, 'n': 14, 'trace_an': 0}
  • id: 47240307
    {'hecke_orbit_code': 27021803956209936, 'n': 15, 'trace_an': -7}
  • id: 47240308
    {'hecke_orbit_code': 27021803956209936, 'n': 16, 'trace_an': 0}
  • id: 47240309
    {'hecke_orbit_code': 27021803956209936, 'n': 17, 'trace_an': 0}
  • id: 47240310
    {'hecke_orbit_code': 27021803956209936, 'n': 18, 'trace_an': 0}
  • id: 47240311
    {'hecke_orbit_code': 27021803956209936, 'n': 19, 'trace_an': 16}
  • id: 47240312
    {'hecke_orbit_code': 27021803956209936, 'n': 20, 'trace_an': 0}
  • id: 47240313
    {'hecke_orbit_code': 27021803956209936, 'n': 21, 'trace_an': -16}
  • id: 47240314
    {'hecke_orbit_code': 27021803956209936, 'n': 22, 'trace_an': 0}
  • id: 47240315
    {'hecke_orbit_code': 27021803956209936, 'n': 23, 'trace_an': 0}
  • id: 47240316
    {'hecke_orbit_code': 27021803956209936, 'n': 24, 'trace_an': 0}
  • id: 47240317
    {'hecke_orbit_code': 27021803956209936, 'n': 25, 'trace_an': 11}
  • id: 47240318
    {'hecke_orbit_code': 27021803956209936, 'n': 26, 'trace_an': 0}
  • id: 47240319
    {'hecke_orbit_code': 27021803956209936, 'n': 27, 'trace_an': 0}
  • id: 47240320
    {'hecke_orbit_code': 27021803956209936, 'n': 28, 'trace_an': 0}
  • id: 47240321
    {'hecke_orbit_code': 27021803956209936, 'n': 29, 'trace_an': 6}
  • id: 47240322
    {'hecke_orbit_code': 27021803956209936, 'n': 30, 'trace_an': 0}
  • id: 47240323
    {'hecke_orbit_code': 27021803956209936, 'n': 31, 'trace_an': -22}
  • id: 47240324
    {'hecke_orbit_code': 27021803956209936, 'n': 32, 'trace_an': 0}
  • id: 47240325
    {'hecke_orbit_code': 27021803956209936, 'n': 33, 'trace_an': 0}
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  • id: 47240331
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  • id: 47240332
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  • id: 47240340
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  • id: 47240341
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  • id: 47240343
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  • id: 47240393
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  • id: 47240398
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  • id: 47240399
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  • id: 47240404
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  • id: 47240406
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  • id: 47240411
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  • id: 47240412
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  • id: 47240413
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  • id: 47240414
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  • id: 47240415
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  • id: 47240416
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  • id: 47240417
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  • id: 47240418
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  • id: 47240419
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  • id: 47240421
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  • id: 47240422
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  • id: 47240423
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  • id: 47240424
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  • id: 47240425
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  • id: 47240426
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  • id: 47240427
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  • id: 47240428
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  • id: 47240429
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  • id: 47240430
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  • id: 47240431
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  • id: 47240432
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  • id: 47240433
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  • id: 47240434
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  • id: 47240435
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  • id: 47240436
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  • id: 47240437
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  • id: 47240438
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  • id: 47240439
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  • id: 47240442
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  • id: 47240453
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  • id: 47240454
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  • id: 47240455
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  • id: 47240456
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  • id: 47240457
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  • id: 47240458
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  • id: 47240459
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  • id: 47240462
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  • id: 47240463
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  • id: 47240465
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  • id: 47240471
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  • id: 47240477
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  • id: 47240478
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  • id: 47240484
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  • id: 47240488
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  • id: 47240489
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  • id: 47240492
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  • id: 47240495
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  • id: 47240505
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  • id: 47240511
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  • id: 47240512
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  • id: 47240513
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  • id: 47240515
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  • id: 47240516
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  • id: 47240517
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  • id: 47240518
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  • id: 47240519
    {'hecke_orbit_code': 27021803956209936, 'n': 797, 'trace_an': 0}
  • id: 47240520
    {'hecke_orbit_code': 27021803956209936, 'n': 809, 'trace_an': -56}
  • id: 47240521
    {'hecke_orbit_code': 27021803956209936, 'n': 811, 'trace_an': -168}
  • id: 47240522
    {'hecke_orbit_code': 27021803956209936, 'n': 821, 'trace_an': 54}
  • id: 47240523
    {'hecke_orbit_code': 27021803956209936, 'n': 823, 'trace_an': 0}
  • id: 47240524
    {'hecke_orbit_code': 27021803956209936, 'n': 827, 'trace_an': 0}
  • id: 47240525
    {'hecke_orbit_code': 27021803956209936, 'n': 829, 'trace_an': -20}
  • id: 47240526
    {'hecke_orbit_code': 27021803956209936, 'n': 839, 'trace_an': 30}
  • id: 47240527
    {'hecke_orbit_code': 27021803956209936, 'n': 841, 'trace_an': 6}
  • id: 47240528
    {'hecke_orbit_code': 27021803956209936, 'n': 853, 'trace_an': 0}
  • id: 47240529
    {'hecke_orbit_code': 27021803956209936, 'n': 857, 'trace_an': 0}
  • id: 47240530
    {'hecke_orbit_code': 27021803956209936, 'n': 859, 'trace_an': 150}
  • id: 47240531
    {'hecke_orbit_code': 27021803956209936, 'n': 863, 'trace_an': 0}
  • id: 47240532
    {'hecke_orbit_code': 27021803956209936, 'n': 877, 'trace_an': 0}
  • id: 47240533
    {'hecke_orbit_code': 27021803956209936, 'n': 881, 'trace_an': -28}
  • id: 47240534
    {'hecke_orbit_code': 27021803956209936, 'n': 883, 'trace_an': 0}
  • id: 47240535
    {'hecke_orbit_code': 27021803956209936, 'n': 887, 'trace_an': 0}
  • id: 47240536
    {'hecke_orbit_code': 27021803956209936, 'n': 907, 'trace_an': 0}
  • id: 47240537
    {'hecke_orbit_code': 27021803956209936, 'n': 911, 'trace_an': 110}
  • id: 47240538
    {'hecke_orbit_code': 27021803956209936, 'n': 919, 'trace_an': 68}
  • id: 47240539
    {'hecke_orbit_code': 27021803956209936, 'n': 929, 'trace_an': 36}
  • id: 47240540
    {'hecke_orbit_code': 27021803956209936, 'n': 937, 'trace_an': 0}
  • id: 47240541
    {'hecke_orbit_code': 27021803956209936, 'n': 941, 'trace_an': 22}
  • id: 47240542
    {'hecke_orbit_code': 27021803956209936, 'n': 947, 'trace_an': 0}
  • id: 47240543
    {'hecke_orbit_code': 27021803956209936, 'n': 953, 'trace_an': 0}
  • id: 47240544
    {'hecke_orbit_code': 27021803956209936, 'n': 961, 'trace_an': -48}
  • id: 47240545
    {'hecke_orbit_code': 27021803956209936, 'n': 967, 'trace_an': 0}
  • id: 47240546
    {'hecke_orbit_code': 27021803956209936, 'n': 971, 'trace_an': -64}
  • id: 47240547
    {'hecke_orbit_code': 27021803956209936, 'n': 977, 'trace_an': 0}
  • id: 47240548
    {'hecke_orbit_code': 27021803956209936, 'n': 983, 'trace_an': 0}
  • id: 47240549
    {'hecke_orbit_code': 27021803956209936, 'n': 991, 'trace_an': 124}
  • id: 47240550
    {'hecke_orbit_code': 27021803956209936, 'n': 997, 'trace_an': 0}